<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    jhrss
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Human Resource and Sustainability Studies
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2328-4862
   </issn>
   <issn publication-format="print">
    2328-4870
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/jhrss.2024.123027
   </article-id>
   <article-id pub-id-type="publisher-id">
    jhrss-135776
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Business 
     </subject>
     <subject>
       Economics
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    A Moderated Mediation Model for Facial Expression, Inner Feeling, and Psychological Safety to Work Engagement: An Empirical Study for Funeral Service Workers in Taiwan Area
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ping-Fu
      </surname>
      <given-names>
       Hsu
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Yu-Ting
      </surname>
      <given-names>
       Huang
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Peng-Tung
      </surname>
      <given-names>
       Chen
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepatment of Business Administration, Krirk University, Bangkok, Thailand
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aBachelor’s Program of Business, Feng Chia University, Taichung
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aDepartment of Business Administration, MingDao University, Changhua
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     08
    </day> 
    <month>
     07
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    12
   </volume> 
   <issue>
    03
   </issue>
   <fpage>
    486
   </fpage>
   <lpage>
    503
   </lpage>
   <history>
    <date date-type="received">
     <day>
      27,
     </day>
     <month>
      July
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      2,
     </day>
     <month>
      July
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      2,
     </day>
     <month>
      September
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    This study aims to investigate the effects of psychological safety on work engagement with moderating mediation roles of surface acting and deep acting. The paper examines the mediating role of deep acting in the relationship of psychological safety to work engagement during the COVID-19 pandemic. The empirical data of this study has been collected via simple random sampling through an online survey with a self-report questionnaire involving funeral service workers (N = 533) from cemeteries, morgues, crematoria, and funeral agencies in Taiwan area. Results reveal that inner feeling (deep acting) and psychological safety positively affect work engagement, while facial expression (surface acting) and psychological safety negatively affect work engagement. Also, deep acting strengthened the positive relationship between psychological safety and work engagement, resulting in a moderated mediation effect whereby surface acting moderates the indirect effect of psychological safety and deep acting on work engagement. The findings of this study provide theoretical and practical implications within the scope of psychological safety and work engagement in the frequency of interaction of emotional labor in the workplace.
   </abstract>
   <kwd-group> 
    <kwd>
     Funeral Service Worker
    </kwd> 
    <kwd>
      Facial Expression
    </kwd> 
    <kwd>
      Inner Feeling
    </kwd> 
    <kwd>
      Psychological Safety
    </kwd> 
    <kwd>
      Work Engagement
    </kwd> 
    <kwd>
      COVID-19 Pandemic
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>“Because I could not stop for Death.”</p>
   <p>—Emily Dickinson (<xref ref-type="bibr" rid="scirp.135776-9">
     Dickinson, 1960
    </xref>)</p>
   <p>The COVID-19 pandemic has underscored the importance of workplace safety (<xref ref-type="bibr" rid="scirp.135776-34">
     Subramony et al., 2022
    </xref>), particularly for frontline service industries like funeral directors. Frontline employees continued their duties despite the risk of contracting the virus through direct customer interactions (<xref ref-type="bibr" rid="scirp.135776-1">
     Aplin-Houtz et al., 2022
    </xref>). <xref ref-type="bibr" rid="scirp.135776-22">
     Hochschild (1983: p. 236)
    </xref> estimated that 38.1% of all occupations entail “substantial emotional labor.” Moreover, <xref ref-type="bibr" rid="scirp.135776-38">
     Wharton (1999)
    </xref> noted that more than half of workers engage in jobs that demand at least some emotional labor (EL).</p>
   <p>
    <xref ref-type="bibr" rid="scirp.135776-22">
     Hochschild (1983)
    </xref> defined emotional labor as an occupation involving frequent public interactions, where employees must manage their own and others’ emotions, which are monitored and enforced by management. She argued that in service transactions, common expectations about appropriate emotional reactions exist, termed “feeling rules,” which describe the institutional norms regarding the appropriate type and amount of emotion to be displayed in specific situations. This includes surface acting, which involves managing facial expressions, and deep acting, which aligns genuine inner feelings with external displays. We propose that facial expression corresponds to surface acting, and inner feeling corresponds to deep acting, in the context of employee-focused emotional labor (regulation of feelings and emotional expression; <xref ref-type="bibr" rid="scirp.135776-5">
     Brotheridge &amp; Grandey, 2002
    </xref>).</p>
   <p>
    <xref ref-type="bibr" rid="scirp.135776-2">
     Ashforth and Humphrey (1993)
    </xref> observed that funeral service workers are expected to be somber and reserved. <xref ref-type="bibr" rid="scirp.135776-7">
     Cho (2020)
    </xref> further explained that these workers must balance providing services to grieving families with displaying a range of emotions, including strength, compassion, sympathy, and vulnerability. According to the Ministry of Interior and the Ministry of Labor, Taiwan area had 173,156 deaths in 2020, with 3,724 funeral service companies operating (<xref ref-type="bibr" rid="scirp.135776-26">
     MOI, 2020
    </xref>; <xref ref-type="bibr" rid="scirp.135776-27">
     MOL, 2022
    </xref>). This means each company handled an average of 47 deaths annually, indicating that funeral service workers face high job demands and emotional burdens. The negative mental health impacts have been exacerbated by the COVID-19 pandemic, leading <xref ref-type="bibr" rid="scirp.135776-20">
     Hicks et al. (2022)
    </xref> to emphasize the need for increased awareness of the stress, physical, and mental health issues funeral directors are experiencing due to COVID-19.</p>
   <p>Previous studies have focused on minimizing the cost of emotional labor, primarily examining psychological capital (<xref ref-type="bibr" rid="scirp.135776-13">
     Fu, 2015
    </xref>; <xref ref-type="bibr" rid="scirp.135776-23">
     Hur, Rhee, &amp; Ahn, 2016
    </xref>) and psychological well-being (<xref ref-type="bibr" rid="scirp.135776-8">
     Cropanzano, Weiss, &amp; Elias, 2003
    </xref>; <xref ref-type="bibr" rid="scirp.135776-33">
     Steiger et al., 2021
    </xref>), with few addressing psychological safety. We suggest that psychological safety can reduce the cost of emotional labor and enhance employee work engagement. <xref ref-type="bibr" rid="scirp.135776-11">
     Edmondson (1999)
    </xref> defined psychological safety as the perception of the consequences of taking interpersonal risks in a specific context, such as the workplace. Therefore, funeral service workers who experience greater psychological safety at their workplace are likely to incur lower emotional labor costs and show increased work engagement during the COVID-19 pandemic.</p>
   <p>Work engagement is defined as a positive, significant, and work-related mental state (<xref ref-type="bibr" rid="scirp.135776-31">
     Schaufeli et al., 2002
    </xref>). Various studies (<xref ref-type="bibr" rid="scirp.135776-32">
     Seo et al., 2023
    </xref>; <xref ref-type="bibr" rid="scirp.135776-41">
     Yoo &amp; Arnold, 2014
    </xref>) have consistently found that while surface acting negatively affects work engagement, deep acting has a positive impact. We suggest that to enhance genuine feelings about work through psychological safety, aligning required emotions with deep acting, rather than expressing insincere or surface feelings, would be beneficial.</p>
   <p>Due to the limited literature on funeral service workers’ display rules regarding emotional labor, this study explores psychological safety and work engagement by understanding the mediating effects of deep acting and the moderating effects of both surface acting and deep acting on work engagement among funeral service workers. The aim of this paper is to expand the literature on how emotional labor, psychological safety, and work engagement affect funeral service workers.</p>
  </sec><sec id="s2">
   <title>2. Literature Review and Hypotheses Development</title>
   <sec id="s2_1">
    <title>2.1. Psychological Safety, Deep Acting and Work Engagement (WE)</title>
    <p>Safety is a fundamental human need and an essential precondition for employee work engagement (<xref ref-type="bibr" rid="scirp.135776-24">
      Kahn, 1990
     </xref>; <xref ref-type="bibr" rid="scirp.135776-34">
      Subramony et al., 2022
     </xref>). Psychological safety refers to the freedom of self-expression without fear of negative consequences to self-image, status, or career (<xref ref-type="bibr" rid="scirp.135776-24">
      Kahn, 1990
     </xref>). Funeral service workers who experience a team environment perceived as psychologically safe at the workplace improve work engagement during the COVID-19 pandemic.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.135776-31">
      Schaufeli et al. (2002)
     </xref> described work engagement as a positive and fulfilling attitude towards work, characterized by vigor, dedication, and absorption. Vigor involves high energy levels, mental resilience, effort, and persistence. Dedication encompasses the significance, enthusiasm, inspiration, pride, and challenge that work presents. Absorption means being fully focused and joyfully immersed in work, experiencing swift passage of time and difficulty detaching from work tasks (<xref ref-type="bibr" rid="scirp.135776-30">
      Schaufeli, Bakker, &amp; Salanova, 2006
     </xref>).</p>
    <p>
     <xref ref-type="bibr" rid="scirp.135776-24">
      Kahn (1990)
     </xref> argued that engaged employees exhibit their physical, emotional, and cognitive traits while performing tasks, benefiting both the organization and the individual. Building on Kahn’s work, work engagement is defined as a “psychological connection with the performance of work tasks, rather than an attitude towards the characteristics of the organization or the work itself.” This implies that optimizing the psychological safety of the workplace contributes to the engagement of funeral service workers. Therefore, we predict:</p>
    <p>Hypothesis 1: Psychological safety is positively linked with work engagement.</p>
    <p>Deep acting (DA) is defined as the induction of genuine feelings (<xref ref-type="bibr" rid="scirp.135776-22">
      Hochschild, 1983
     </xref>: p. 35). Previous research has shown how emotion work impacts employees’ mental and emotional resources, influencing their work outcomes (<xref ref-type="bibr" rid="scirp.135776-6">
      Brotheridge &amp; Lee, 2002
     </xref>; <xref ref-type="bibr" rid="scirp.135776-21">
      Hill et al., 2020
     </xref>). Emotional labor that involves deep acting requires an effort to genuinely experience the emotions one is supposed to display (<xref ref-type="bibr" rid="scirp.135776-39">
      Wharton, 2009
     </xref>). Deep acting also involves modifying physiological arousal and cognitions through various techniques (<xref ref-type="bibr" rid="scirp.135776-5">
      Brotheridge &amp; Grandey, 2002
     </xref>). Moreover, funeral service workers use deep acting to experience somberness, grief, and mourning, which enhances psychological strength. This practice helps them navigate the emotional complexity of “the separation between loved ones in life or death” with profound personal empathy.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.135776-28">
      Olivier and Rothmann (2007)
     </xref> investigated the antecedents of work engagement and found that psychological meaningfulness and psychological availability are significant predictors. Psychological meaningfulness is defined as the feeling of receiving a return on the investment of oneself in terms of physical, cognitive, or emotional energy (<xref ref-type="bibr" rid="scirp.135776-24">
      Kahn, 1990
     </xref>: pp. 703-704). Psychological availability is the sense of having the necessary physical, emotional, or psychological resources to engage at a given moment (<xref ref-type="bibr" rid="scirp.135776-24">
      Kahn, 1990
     </xref>: p. 714). The psychological safety and emotional labor of funeral service workers may also relate to psychological meaningfulness and availability. Due to their sympathy towards customers’ feelings of sorrow and grief, funeral service workers may enhance their inner feelings at work, thereby spontaneously evoking vigor, dedication, and absorption. The following hypotheses are formulated regarding the relationship between psychological safety, deep acting, and work engagement.</p>
    <p>Hypothesis 2(H2): Psychological safety is significantly positively linked with deep acting.</p>
    <p>Hypothesis 3(H3): Deep acting is significantly positively linked with work engagement.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Surface/Deep Acting as a Moderator</title>
    <p>Surface acting (SA), defined by <xref ref-type="bibr" rid="scirp.135776-22">
      Hochschild (1983)
     </xref> as using the body, not the soul, as the main tool of trade, involves faking or suppressing emotions at work. This behavior is linked to increased emotional exhaustion among workers (<xref ref-type="bibr" rid="scirp.135776-36">
      Van Dijk &amp; Brown, 2006
     </xref>; <xref ref-type="bibr" rid="scirp.135776-14">
      Glomb &amp; Tews, 2004
     </xref>) and contributes to feelings of depersonalization and reduced personal accomplishment (<xref ref-type="bibr" rid="scirp.135776-5">
      Brotheridge &amp; Grandey, 2002
     </xref>). Surface acting requires managing emotions by suppressing genuine feelings and displaying desired emotional expressions (<xref ref-type="bibr" rid="scirp.135776-21">
      Hill et al., 2020
     </xref>). Despite funeral service workers feeling psychologically safe, they are still mandated to display facial expressions to customers, which diminishes their genuine feelings (deep acting) at all times. If employees maintain authentic expressions (deep acting) while feeling psychologically safe in customer interactions, their work engagement is enhanced. In essence, deep acting strengthens the link between psychological safety and work engagement. Thus, we hypothesized the following:</p>
    <p>Hypothesis 4: The relationship between psychological safety and deep acting is moderated by surface acting, weakening the relationship.</p>
    <p>Hypothesis 5: The relationship between psychological safety and work engagement is moderated by deep acting, strengthening the relationship.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Mediating Effect of Deep Acting</title>
    <p>
     <xref ref-type="bibr" rid="scirp.135776-24">
      Kahn (1990)
     </xref> claims that meaningfulness, safety, and availability are psychological conditions influencing employee engagement, as employees invest their whole selves (body and mind) in their jobs based on their psychological experiences of self-in-role. Meanwhile, <xref ref-type="bibr" rid="scirp.135776-4">
      Bakker (2022)
     </xref> argued that work engagement results from various social-psychological processes, is contagious, and can be significantly influenced by colleagues, leaders, and intimate partners. <xref ref-type="bibr" rid="scirp.135776-15">
      Grandey (2003)
     </xref> defined deep acting as the extent to which an employee modifies their feelings to match expressions. Therefore, despite funeral service workers fearing the risk of coronavirus infection, they still engage in deep acting at work, supported by their colleagues, leaders, and partners. Based on these findings, we hypothesized the following:</p>
    <p>Hypothesis 6: Employees’ psychological safety positively influences work engagement via the mediating role of deep acting.</p>
    <p>Hypothesis 7: Surface acting moderates the relationship between psychological safety and deep acting, strengthening the mediation effect of deep acting when surface acting is low rather than high. <xref ref-type="fig" rid="fig1">
      Figure 1
     </xref> presents the proposed conceptual framework model for our hypotheses.</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. Conceptual framework model adopted in this study.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2831337-rId15.jpeg?20241104043801" />
    </fig>
   </sec>
  </sec><sec id="s3">
   <title>3. Methods</title>
   <sec id="s3_1">
    <title>3.1. Sampling Procedure and Participants</title>
    <p>According to the statistical data of Taiwan region’s Labor Department for 2022, presented in July 2021, the total number of funeral service companies is 3724. This study distributed the questionnaire through Google Forms and posted the links on social platforms (e.g., the Funeral Service Association social group) such as Line, Facebook, Twitter, and WeChat to increase exposure to our research context. From July 2022 to 30 December 2022, the study collected samples from employees in the Taiwan area funeral industry. Over 600 funeral service employees completed the questionnaire, with 533 valid responses, achieving an 88.83% response rate.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Measurement</title>
    <p>The main instrument of this research was a questionnaire, which consisted of four parts: 1) demographic characteristics (age, gender, marital status, etc.); 2) work engagement (9 items); 3) emotional labor, measuring surface (3 items) and deep acting (4 items); 4) psychological safety (7 items). The details are as follows:</p>
    <p>To measure work engagement, we administered the Utrecht Work Engagement Scale (UWES; <xref ref-type="bibr" rid="scirp.135776-30">
      Schaufeli et al., 2006
     </xref>), which comprises three subscales: vigor (3 items, e.g., “I am always full of energy at work”), dedication (3 items, e.g., “My work inspires me a lot”), and absorption (3 items, e.g., “I am so engaged in my work that I lose track of time”). Items are rated on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). The scale’s alpha reliability was 0.87.</p>
    <p>Emotional labor was measured by revising items developed by <xref ref-type="bibr" rid="scirp.135776-25">
      Lin (2000)
     </xref>. We assessed both surface acting (SA; also known as facial expression; 3 items, e.g., “You often have to pay attention to body language when interacting with customers”) and deep acting (DA; also known as inner feeling; 4 items, e.g., “You must do your best to motivate consumer behavior, even if you are in a bad mood and must overcome this condition”). Subjects responded to these questions on a 5-point scale, ranging from 1 for “strongly disagree” to 5 for “strongly agree.” The alpha reliability of this scale was 0.90.</p>
    <p>The psychological safety scale by <xref ref-type="bibr" rid="scirp.135776-11">
      Edmondson (1999)
     </xref> was used to assess the extent to which an individual feels comfortable being themselves and expressing their viewpoints at work, as opposed to feeling threatened in the workplace. This study employed a 7-item scale with a 5-point Likert response format, ranging from 1 (strongly disagree) to 5 (strongly agree). Sample items include “I can assert myself without any restraint and express my ideas in the company”. The scale’s alpha reliability was 0.82.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Data Analysis</title>
    <p>SmartPLS 3.0 and SPSS 26 were used for statistical analysis. Descriptive statistics, including demographic variables, means, standard deviations, and correlations, were utilized for data analysis. Confirmatory Factor Analysis (CFA) tested the factorial validity of the measuring instruments. Composite reliability was assessed using Raykov’s rho coefficients with a cut-off value of 0.70 (<xref ref-type="bibr" rid="scirp.135776-29">
      Raykov, 2009
     </xref>). The Partial Least Squares Path Modeling Method (<xref ref-type="bibr" rid="scirp.135776-16">
      Hair et al., 2019
     </xref>) was employed to examine the hypothesized relationships, and Hayes PROCESS macro-Model 7 (ver. 4.1) was used to test the moderated mediation effects.</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Some Common Mistakes</title>
   </sec>
  </sec><sec id="s4">
   <title>4. Results</title>
   <sec id="s4_1">
    <title>4.1. Description of Sample</title>
    <p>The demographic analysis of research respondents shows that most were above 50 years old (22.9%). Of these 533 respondents, 320 (60%) were men, and 213 (40%) were women. Regarding tenure, 231 (43.3%) of the respondents had over 15 years of experience, 67 (12.6%) had 4 - 5 years, and 1 (0.2%) had one year or less. The majority of participants’ education level was a Bachelor’s degree (254; 47.7%), followed by Senior High School (94; 17.6%), College (92; 17.3%), Master’s (72; 13.5%), Junior High School (12; 2.3%), and Ph.D. (9; 1.7%).</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Common Method Bias</title>
    <p>There is a possibility of common method bias when measuring constructs in the same survey or self-report questionnaire. To mitigate this, we employed procedural and statistical methods. The questionnaire items were arranged in a random order, distributing the four constructs throughout, and we ensured complete protection of the respondents’ anonymity (Podsakoff et al., 2003). Additionally, we conducted Harman’s single factor test using Exploratory Factor Analysis (EFA). The EFA results revealed four distinct factors with eigenvalues above 1, explaining 65.72% of the total variance. The first extracted factor accounted for 41.83% of the total variance, which is less than 50%, indicating it did not represent the majority of the variance (see <xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 1. Common method bias (CMV).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="14.95%"><p style="text-align:center">Component</p></td> 
       <td class="custom-bottom-td acenter" width="42.18%" colspan="3"><p style="text-align:center">Initial eigenvalues</p></td> 
       <td class="custom-bottom-td acenter" width="42.87%" colspan="3"><p style="text-align:center">Extraction sums of squared loadings</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="8.09%"><p style="text-align:center">Total</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.61%"><p style="text-align:center">% of variance</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.49%"><p style="text-align:center">Cumulative % </p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="8.47%"><p style="text-align:center">Total</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.15%"><p style="text-align:center">% of variance</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.24%"><p style="text-align:center">Cumulative %</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="14.95%"><p style="text-align:center">1</p></td> 
       <td class="custom-top-td acenter" width="8.09%"><p style="text-align:center">9.62</p></td> 
       <td class="custom-top-td acenter" width="16.61%"><p style="text-align:center">41.83</p></td> 
       <td class="custom-top-td acenter" width="17.49%"><p style="text-align:center">41.83</p></td> 
       <td class="custom-top-td acenter" width="8.47%"><p style="text-align:center">9.62</p></td> 
       <td class="custom-top-td acenter" width="17.15%"><p style="text-align:center">41.83</p></td> 
       <td class="custom-top-td acenter" width="17.24%"><p style="text-align:center">41.83</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.95%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="8.09%"><p style="text-align:center">2.64</p></td> 
       <td class="acenter" width="16.61%"><p style="text-align:center">11.47</p></td> 
       <td class="acenter" width="17.49%"><p style="text-align:center">53.31</p></td> 
       <td class="acenter" width="8.47%"><p style="text-align:center">2.64</p></td> 
       <td class="acenter" width="17.15%"><p style="text-align:center">11.47</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">53.31</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.95%"><p style="text-align:center">3</p></td> 
       <td class="acenter" width="8.09%"><p style="text-align:center">1.76</p></td> 
       <td class="acenter" width="16.61%"><p style="text-align:center">7.65</p></td> 
       <td class="acenter" width="17.49%"><p style="text-align:center">60.95</p></td> 
       <td class="acenter" width="8.47%"><p style="text-align:center">1.76</p></td> 
       <td class="acenter" width="17.15%"><p style="text-align:center">7.65</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">60.95</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.95%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="8.09%"><p style="text-align:center">1.10</p></td> 
       <td class="acenter" width="16.61%"><p style="text-align:center">4.77</p></td> 
       <td class="acenter" width="17.49%"><p style="text-align:center">65.72</p></td> 
       <td class="acenter" width="8.47%"><p style="text-align:center">1.10</p></td> 
       <td class="acenter" width="17.15%"><p style="text-align:center">4.77</p></td> 
       <td class="acenter" width="17.24%"><p style="text-align:center">65.72</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s4_3">
    <title>4.3. Descriptive Statistics</title>
    <p>Pearson correlations, means, and standard deviations for all study variables are presented in <xref ref-type="table" rid="table2">
      Table 2
     </xref> (N = 533), showing that all research variables are significantly correlated, with psychological safety being strongly correlated with work engagement.</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 2. Mean, SD and inter-correlations between survey variables (N = 533).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="7.31%"><p style="text-align:center">Var.</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">M</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">SD</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">DA</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">SA</p></td> 
       <td class="custom-bottom-td acenter" width="10.31%"><p style="text-align:center">PS</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">VG</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">DC</p></td> 
       <td class="custom-bottom-td acenter" width="10.30%"><p style="text-align:center">AP</p></td> 
       <td class="custom-bottom-td acenter" width="10.31%"><p style="text-align:center">WE</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="7.31%"><p style="text-align:center">DA</p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center">3.838</p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center">0.642</p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center">-</p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="10.31%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="10.31%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="7.31%"><p style="text-align:center">SA</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">4.267</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.612</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.518**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="7.31%"><p style="text-align:center">PS</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">3.559</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.802</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.287**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.322**</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="7.31%"><p style="text-align:center">VG</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">3.560</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.893</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.339**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.428**</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center">0.567**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="7.31%"><p style="text-align:center">DC</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">3.784</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.832</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.349**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.420**</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center">0.617**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.746**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="7.31%"><p style="text-align:center">AP</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">3.894</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.739</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.402**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.451**</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center">0.526**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.679**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.765**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="7.31%"><p style="text-align:center">WE</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">3.746</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.744</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.399**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.477**</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center">0.631**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.903**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.925**</p></td> 
       <td class="acenter" width="10.30%"><p style="text-align:center">0.888**</p></td> 
       <td class="acenter" width="10.31%"><p style="text-align:center">-</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: DA = deep acting; SA = surface acting; PS = psychological safety; VG = vigor; DC = dedication; AP = absorption; WE = work engagement; *p &lt; 0.05; **p &lt; 0.01.</p>
   </sec>
   <sec id="s4_4">
    <title>4.4. Assessment of Measure Model</title>
    <p>In this study, item loading, Cronbach’s alpha, average variance extracted (AVE), and composite reliability (CR) were critically analyzed, with results presented in <xref ref-type="table" rid="table3">
      Table 3
     </xref>. According to <xref ref-type="bibr" rid="scirp.135776-17">
      Hair et al. (2012)
     </xref>, item loading should exceed 0.6, a criterion met by all items in our study. The inner VIF values for the research variables were all below 5, indicating that multicollinearity was not an issue. Regarding AVE, <xref ref-type="bibr" rid="scirp.135776-16">
      Hair et al. (2019)
     </xref> suggested it should surpass 0.5; in our research, AVE values ranged from 0.617 to 0.648, which is acceptable and indicates good construct reliability. Additionally, CR values varied from 0.84 to 0.943, aligning with the values recommended by <xref ref-type="bibr" rid="scirp.135776-16">
      Hair et al. (2019)
     </xref>. In addition, <xref ref-type="table" rid="table4">
      Table 4
     </xref> presents <xref ref-type="bibr" rid="scirp.135776-10">
      Dijkstra and Henseler (2015)
     </xref> rho_A coefficient, which <xref ref-type="bibr" rid="scirp.135776-40">
      Wong (2019)
     </xref> highlighted as the preferred method for assessing the reliability of PLS construct scores. According to the modern view of PLS, the rho_A coefficient is recommended over Cronbach’s alpha and composite reliability.</p>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 3. Measure model of parameter estimation (N = 533).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">Construct</p></td> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">Item</p></td> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">Loading</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">VIF</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">α</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">CR</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">AVE</p></td> 
      </tr> 
      <tr> 
       <td rowspan="9" class="custom-top-td acenter" width="14.29%"><p style="text-align:center">WE</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">vg01</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">0.824</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">3.711</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.932</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.943</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.648</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">vg02</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.819</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">3.517</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">vg03</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.819</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.212</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">dc04</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.758</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">3.476</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">dc05</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.868</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.649</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">dc06</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.811</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">3.465</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ap07</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.862</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.703</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ap08</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.817</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.384</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">ap09</p></td> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">0.758</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">1.804</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td rowspan="4" class="custom-top-td acenter" width="14.29%"><p style="text-align:center">DA</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">da01</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">0.786</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">1.746</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.794</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.866</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.617</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">da02</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.803</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">1.835</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">da04</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.790</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">1.503</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">da07</p></td> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">0.763</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">1.485</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td rowspan="3" class="custom-top-td acenter" width="14.29%"><p style="text-align:center">SA</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">sa01</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">0.732</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">1.375</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.719</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.840</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.638</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">sa02</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.833</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">1.557</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">sa03</p></td> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">0.827</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center">1.376</p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td rowspan="7" class="custom-top-td acenter" width="14.29%"><p style="text-align:center">PS</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">ps01</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">0.801</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">2.598</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.936</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.945</p></td> 
       <td class="custom-top-td acenter" width="14.28%"><p style="text-align:center">0.634</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ps02</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.825</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">3.573</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ps03</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.838</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">3.979</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ps04</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.779</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.596</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ps05</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.728</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.176</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ps06</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.792</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.617</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.29%"><p style="text-align:center">ps07</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">0.842</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center">2.963</p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.28%"><p style="text-align:center"></p></td> 
      </tr> 
     </table>
    </table-wrap>
    <table-wrap id="table4">
     <label>
      <xref ref-type="table" rid="table4">
       Table 4
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 4. Composite reliability and average extracted variance (N = 533).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="20.01%"><p style="text-align:center">Variable</p></td> 
       <td class="custom-bottom-td acenter" width="20.00%"><p style="text-align:center">α</p></td> 
       <td class="custom-bottom-td acenter" width="20.00%"><p style="text-align:center">rho_A</p></td> 
       <td class="custom-bottom-td acenter" width="20.00%"><p style="text-align:center">CR</p></td> 
       <td class="custom-bottom-td acenter" width="20.00%"><p style="text-align:center">AVE</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="20.01%"><p style="text-align:center">DA</p></td> 
       <td class="custom-top-td acenter" width="20.00%"><p style="text-align:center">0.749</p></td> 
       <td class="custom-top-td acenter" width="20.00%"><p style="text-align:center">0.797</p></td> 
       <td class="custom-top-td acenter" width="20.00%"><p style="text-align:center">0.866</p></td> 
       <td class="custom-top-td acenter" width="20.00%"><p style="text-align:center">0.617</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="20.01%"><p style="text-align:center">SA</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.719</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.739</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.840</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.638</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="20.01%"><p style="text-align:center">PS</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.936</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.937</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.945</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.634</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="20.01%"><p style="text-align:center">WE</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.932</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.934</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.943</p></td> 
       <td class="acenter" width="20.00%"><p style="text-align:center">0.648</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>We followed <xref ref-type="bibr" rid="scirp.135776-35">
      Tenenhaus et al. (2005)
     </xref> and computed the Goodness of Fit (GOF) to understand the overall quality of the proposed model. The GOF is calculated as:</p>
    <p>
     <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"> <mrow> 
       <mtext>
         GOF 
       </mtext> 
       <mo>
         = 
       </mo> 
       <msqrt> 
        <mrow> 
         <mover accent="true"> 
          <mrow> 
           <mi>
             A 
           </mi> 
           <mi>
             V 
           </mi> 
           <mi>
             E 
           </mi> 
          </mrow> 
          <mo stretchy="true">
            ¯ 
          </mo> 
         </mover> 
         <mo>
           × 
         </mo> 
         <msup> 
          <mover accent="true"> 
           <mi>
             R 
           </mi> 
           <mo>
             ¯ 
           </mo> 
          </mover> 
          <mn>
            2 
          </mn> 
         </msup> 
        </mrow> 
       </msqrt> 
       <mo>
         = 
       </mo> 
       <msqrt> 
        <mrow> 
         <mn>
           0.634 
         </mn> 
         <mo>
           × 
         </mo> 
         <mn>
           0.351 
         </mn> 
        </mrow> 
       </msqrt> 
       <mo>
         = 
       </mo> 
       <mn>
         0.796 
       </mn> 
      </mrow> 
     </math></p>
    <p>The results show that the GOF is 0.796, surpassing the cut-off criterion of 0.36 for a large effect size (<xref ref-type="bibr" rid="scirp.135776-37">
      Wetzels et al., 2009
     </xref>).</p>
    <p>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref> displays construct reliability and validity values, indicating that Cronbach’s alpha for surface acting (SA) is acceptable at 0.719, and for psychological safety (PS), it is very strong at 0.932. These figures confirm the model’s validity and reliability. Cronbach’s alpha measures internal consistency, but <xref ref-type="bibr" rid="scirp.135776-3">
      Bagozzi and Yi (1988)
     </xref>, along with <xref ref-type="bibr" rid="scirp.135776-17">
      Hair et al. (2012)
     </xref>, have suggested that Composite Reliability (CR) offers more precise consistency values. <xref ref-type="bibr" rid="scirp.135776-12">
      Fornell and Larcker (1981)
     </xref> recommend that CR values for all latent variables should exceed 0.6, with our results showing CR values ranging from 0.84 to 0.945, meeting this criterion. The Average Variance Extracted (AVE) assesses the extent to which variances in measured variables explain the latent variables, with a recommended standard value above 0.5 (<xref ref-type="bibr" rid="scirp.135776-12">
      Fornell &amp; Larcker, 1981
     </xref>). Our findings also indicate that the AVE estimates for all constructs exceed the recommended threshold of 0.5 (DA = 0.617; SA = 0.638; PS = 0.634; WE = 0.648).</p>
    <p>The Fornell-Larcker criterion (1981; <xref ref-type="table" rid="table5">
      Table 5
     </xref>) is a widely used and conservative method for assessing discriminant validity in PLS-SEM. To establish discriminant validity, the square root of the average variance extracted (AVE) of each latent variable should be greater than the latent variable correlations (LVC). <xref ref-type="table" rid="table3">
      Table 3
     </xref> and <xref ref-type="table" rid="table4">
      Table 4
     </xref> clearly show that discriminant validity is met for this research.</p>
    <table-wrap id="table5">
     <label>
      <xref ref-type="table" rid="table5">
       Table 5
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 5. Fornell-Larcker criterion to test discriminant validity.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="14.39%"><p style="text-align:center">Variable</p></td> 
       <td class="custom-bottom-td acenter" width="14.39%"><p style="text-align:center">DA</p></td> 
       <td class="custom-bottom-td acenter" width="14.39%"><p style="text-align:center">SA</p></td> 
       <td class="custom-bottom-td acenter" width="14.39%"><p style="text-align:center">PS</p></td> 
       <td class="custom-bottom-td acenter" width="14.39%"><p style="text-align:center">WE</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="14.39%"><p style="text-align:center">DA</p></td> 
       <td class="custom-top-td acenter" width="14.39%"><p style="text-align:center">0.786*</p></td> 
       <td class="custom-top-td acenter" width="14.39%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="14.39%"><p style="text-align:center"></p></td> 
       <td class="custom-top-td acenter" width="14.39%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.39%"><p style="text-align:center">SA</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.535</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.799*</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.39%"><p style="text-align:center">PS</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.276</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.328</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.796*</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center"></p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.39%"><p style="text-align:center">WE</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.412</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.477</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.637</p></td> 
       <td class="acenter" width="14.39%"><p style="text-align:center">0.805*</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: * = the square roots of AVE and within the diagonal are the correlations among variables.</p>
   </sec>
   <sec id="s4_5">
    <title>4.5. Structural Model Analysis</title>
    <p>PLS path modeling analysis (<xref ref-type="bibr" rid="scirp.135776-19">
      Henseler, 2012
     </xref>) was conducted using the non-parametric bootstrap procedure to provide a significant test based on the path coefficient for hypothesis testing in this study. Path coefficients represent the hypothesized relationships among the constructs. <xref ref-type="table" rid="table6">
      Table 6
     </xref> and <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref> summarize the study’s findings, demonstrating the relationship between the path coefficients, standard deviation (STDEV), probability value (p-value), and each construct’s outcome. Both <xref ref-type="table" rid="table6">
      Table 6
     </xref> and <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref> show that psychological safety positively and significantly affects work engagement, supporting hypothesis H1 (Beta = 0.544; t-value = 15.269; p = 0.000). Hypothesis 2 supported the proposed relationship between psychological safety and deep acting (Beta = 0.106; t value = 2.453; p = 0.014). Hypothesis 3 supported significant positive effects between deep acting and work engagement (Beta = 0.263; t value = 7.037; p &lt; 0.001). The analysis showed that surface acting had negative moderating effects and insignificant direct effects on the relationship between psychological safety and deep acting, with a path coefficient (Beta = 0.031; t value = 0.3; p = 0.549), supporting hypothesis 4. Hypothesis 5, which reported moderating effects of deep acting on the relationship between psychological safety and work engagement, was supported by a path coefficient (Beta = 0.079; t value = 2.43; p = 0.015). Additionally, a strong correlation was found between psychological safety and work engagement (Beta = 0.544; t value = 15.269; p &lt; 0.001).</p>
    <table-wrap id="table6">
     <label>
      <xref ref-type="table" rid="table6">
       Table 6
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 6. Path coefficient of structural equation model analysis.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="54.74%"><p style="text-align:center">Procedure</p></td> 
       <td class="custom-bottom-td acenter" width="8.62%"><p style="text-align:center">Beta</p></td> 
       <td class="custom-bottom-td acenter" width="8.62%"><p style="text-align:center">Mean</p></td> 
       <td class="custom-bottom-td acenter" width="10.77%"><p style="text-align:center">STDEV</p></td> 
       <td class="custom-bottom-td acenter" width="8.62%"><p style="text-align:center">t value</p></td> 
       <td class="custom-bottom-td acenter" width="8.62%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="54.74%"><p style="text-align:center">Deep acting → work engagement (H3)</p></td> 
       <td class="custom-top-td acenter" width="8.62%"><p style="text-align:center">0.263</p></td> 
       <td class="custom-top-td acenter" width="8.62%"><p style="text-align:center">0.267</p></td> 
       <td class="custom-top-td acenter" width="10.77%"><p style="text-align:center">0.037</p></td> 
       <td class="custom-top-td acenter" width="8.62%"><p style="text-align:center">7.034</p></td> 
       <td class="custom-top-td acenter" width="8.62%"><p style="text-align:center">0.000</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.74%"><p style="text-align:center">Moderating Effect 1 → Deep acting (H4)</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.031</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.038</p></td> 
       <td class="acenter" width="10.77%"><p style="text-align:center">0.052</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.600</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.549</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.74%"><p style="text-align:center">Moderating Effect 2 → work engagement (H5)</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.079</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.075</p></td> 
       <td class="acenter" width="10.77%"><p style="text-align:center">0.032</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">2.430</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.015</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.74%"><p style="text-align:center">psychological safety → Deep acting (H2)</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.106</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.105</p></td> 
       <td class="acenter" width="10.77%"><p style="text-align:center">0.043</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">2.453</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.014</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.74%"><p style="text-align:center">psychological safety → surface acting </p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.328</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.329</p></td> 
       <td class="acenter" width="10.77%"><p style="text-align:center">0.046</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">7.202</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.000</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.74%"><p style="text-align:center">psychological safety → work engagement (H1)</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.544</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.547</p></td> 
       <td class="acenter" width="10.77%"><p style="text-align:center">0.036</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">15.269</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.000</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="54.74%"><p style="text-align:center">surface acting → Deep acting</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.507</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.506</p></td> 
       <td class="acenter" width="10.77%"><p style="text-align:center">0.035</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">14.522</p></td> 
       <td class="acenter" width="8.62%"><p style="text-align:center">0.000</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: STDEV = standard deviation.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. Results of structural equation models analysis in this study.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2831337-rId18.jpeg?20241104043802" />
    </fig>
    <p>The SMART-PLS algorithm was run, determining a maximum of 300 interactions with a stop criterion of 7, using a path weighting scheme to maximize the R-square value for the model’s endogenous latent variables, as shown in <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref>.</p>
    <p>R squared is a coefficient of determination that indicates the variance explained by an independent variable on a dependent variable. Deep acting increases by 7.9% due to psychological safety, while work engagement increases by 17.5% due to psychological safety. Moreover, the adjusted R squared for all constructs is less than the R squared, indicating that all the independent variables significantly reveal (<xref ref-type="table" rid="table7">
      Table 7
     </xref>).</p>
    <table-wrap id="table7">
     <label>
      <xref ref-type="table" rid="table7">
       Table 7
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 7. Moderation and mediation analysis in PLS-SEM (N = 533).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="27.30%"><p style="text-align:center">Hypothesis</p></td> 
       <td class="custom-bottom-td acenter" width="19.57%"><p style="text-align:center">Path</p></td> 
       <td class="custom-bottom-td acenter" width="17.03%"><p style="text-align:center">Coefficient</p></td> 
       <td class="custom-bottom-td acenter" width="10.23%"><p style="text-align:center">t value</p></td> 
       <td class="custom-bottom-td acenter" width="12.94%"><p style="text-align:center">p-value</p></td> 
       <td class="custom-bottom-td acenter" width="12.93%"><p style="text-align:center">Support</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="27.30%"><p style="text-align:center">H4</p></td> 
       <td class="custom-top-td acenter" width="19.57%"><p style="text-align:center">SA* × PS → DA</p></td> 
       <td class="custom-top-td acenter" width="17.03%"><p style="text-align:center">−0.019</p></td> 
       <td class="custom-top-td acenter" width="10.23%"><p style="text-align:center">0.178</p></td> 
       <td class="custom-top-td acenter" width="12.94%"><p style="text-align:center">0.859</p></td> 
       <td class="custom-top-td acenter" width="12.93%"><p style="text-align:center">No</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="27.30%"><p style="text-align:center">H5</p></td> 
       <td class="custom-bottom-td acenter" width="19.57%"><p style="text-align:center">DA<sup>#</sup> × PS → WE</p></td> 
       <td class="custom-bottom-td acenter" width="17.03%"><p style="text-align:center">0.095</p></td> 
       <td class="custom-bottom-td acenter" width="10.23%"><p style="text-align:center">2.597</p></td> 
       <td class="custom-bottom-td acenter" width="12.94%"><p style="text-align:center">0.009***</p></td> 
       <td class="custom-bottom-td acenter" width="12.93%"><p style="text-align:center">Yes</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Mediation effect of DA on PS and WE in PLS-SEM</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="27.30%"><p style="text-align:center">Specific In. effect</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="19.57%"><p style="text-align:center">Original sample</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.03%"><p style="text-align:center">Sample mean</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="10.23%"><p style="text-align:center">STDEV</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.94%"><p style="text-align:center">T statistic</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.93%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="27.30%"><p style="text-align:center">PS → DA → WE</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="19.57%"><p style="text-align:center">0.116</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.03%"><p style="text-align:center">0.121</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="10.23%"><p style="text-align:center">0.027</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.94%"><p style="text-align:center">4.284</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.93%"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="27.30%"><p style="text-align:center">Path coefficients</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="19.57%"><p style="text-align:center">Original sample</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="17.03%"><p style="text-align:center">Sample mean</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="10.23%"><p style="text-align:center">STDEV</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.94%"><p style="text-align:center">T statistic</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.93%"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="27.30%"><p style="text-align:center">DA → WE</p></td> 
       <td class="custom-top-td acenter" width="19.57%"><p style="text-align:center">0.414</p></td> 
       <td class="custom-top-td acenter" width="17.03%"><p style="text-align:center">0.419</p></td> 
       <td class="custom-top-td acenter" width="10.23%"><p style="text-align:center">0.04</p></td> 
       <td class="custom-top-td acenter" width="12.94%"><p style="text-align:center">10.429</p></td> 
       <td class="custom-top-td acenter" width="12.93%"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="27.30%"><p style="text-align:center">PS → DA</p></td> 
       <td class="custom-bottom-td acenter" width="19.57%"><p style="text-align:center">0.28</p></td> 
       <td class="custom-bottom-td acenter" width="17.03%"><p style="text-align:center">0.287</p></td> 
       <td class="custom-bottom-td acenter" width="10.23%"><p style="text-align:center">0.046</p></td> 
       <td class="custom-bottom-td acenter" width="12.94%"><p style="text-align:center">6.101</p></td> 
       <td class="custom-bottom-td acenter" width="12.93%"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Summary of R<sup>2</sup> (H6)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="27.30%"><p style="text-align:center">Endogenous construct</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="36.60%" colspan="2"><p style="text-align:center">R square</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="36.10%" colspan="3"><p style="text-align:center">R square adjusted</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="27.30%"><p style="text-align:center">Deep acting</p></td> 
       <td class="custom-top-td acenter" width="36.60%" colspan="2"><p style="text-align:center">0.079</p></td> 
       <td class="custom-top-td acenter" width="36.10%" colspan="3"><p style="text-align:center">0.077</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.30%"><p style="text-align:center">Work engagement</p></td> 
       <td class="acenter" width="36.60%" colspan="2"><p style="text-align:center">0.172</p></td> 
       <td class="acenter" width="36.10%" colspan="3"><p style="text-align:center">0.17</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: * moderator; <sup>#</sup>mediator; *** = p &lt; 0.001; Bootstrapping = 5000; STDEV = Standard deviation. Asterisks *, **, *** indicate two-tailed significance at the 0.10, 0.05, and 0.01 levels, respectively.</p>
   </sec>
   <sec id="s4_6">
    <title>4.6. Moderated Mediation Effect Analysis</title>
    <p>To test moderated mediation effects, we applied Model 7 of the Process Macro by <xref ref-type="bibr" rid="scirp.135776-18">
      Hayes (2017)
     </xref>, as shown in <xref ref-type="table" rid="table8">
      Table 8
     </xref>. This model assesses both the moderating and mediating effects. Following <xref ref-type="bibr" rid="scirp.135776-18">
      Hayes’s (2017)
     </xref> guidelines, we probed conditional indirect effects for significance at ±1SD and examined the index of moderated mediation as an additional test of significance for the conditional indirect effect. The results, as depicted in <xref ref-type="table" rid="table8">
      Table 8
     </xref>, indicate that the indirect effect of surface acting on work engagement through psychological safety was significant, as evidenced by the index of moderated mediation. The bias-corrected 95% confidence interval for the index ranged from −0.022 to 0.059, not including zero. Therefore, we plotted the predictive relationship between psychological safety and work engagement, separately for low and high levels of surface acting (M ± 1SD). The results showed that as surface acting decreased among funeral service workers, the predictive effect of psychological safety on work engagement gradually increased.</p>
    <table-wrap id="table8">
     <label>
      <xref ref-type="table" rid="table8">
       Table 8
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.135776-"></xref>Table 8. Results of moderated mediation model (N = 533).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.18%"><p style="text-align:center">Outcome variable</p></td> 
       <td class="custom-bottom-td acenter" width="16.70%" colspan="2"><p style="text-align:center">R</p></td> 
       <td class="custom-bottom-td acenter" width="16.71%" colspan="2"><p style="text-align:center">R<sup>2</sup></p></td> 
       <td class="custom-bottom-td acenter" width="16.70%" colspan="2"><p style="text-align:center">F</p></td> 
       <td class="custom-bottom-td acenter" width="16.71%" colspan="2"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center">Deep acting</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.534</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.286</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">70.491</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">B</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">SE</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">t</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="33.18%"><p style="text-align:center">Constant</p></td> 
       <td class="custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">1.794</p></td> 
       <td class="custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.635</p></td> 
       <td class="custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">2.826</p></td> 
       <td class="custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.004***</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.18%"><p style="text-align:center">Psychological safety</p></td> 
       <td class="acenter" width="16.70%" colspan="2"><p style="text-align:center">−0.323</p></td> 
       <td class="acenter" width="16.71%" colspan="2"><p style="text-align:center">0.186</p></td> 
       <td class="acenter" width="16.70%" colspan="2"><p style="text-align:center">−0.173</p></td> 
       <td class="acenter" width="16.71%" colspan="2"><p style="text-align:center">0.862</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.18%"><p style="text-align:center">Surface acting</p></td> 
       <td class="acenter" width="16.70%" colspan="2"><p style="text-align:center">0.392</p></td> 
       <td class="acenter" width="16.71%" colspan="2"><p style="text-align:center">0.146</p></td> 
       <td class="acenter" width="16.70%" colspan="2"><p style="text-align:center">2.686</p></td> 
       <td class="acenter" width="16.71%" colspan="2"><p style="text-align:center">0.007***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.18%"><p style="text-align:center">PS × SA</p></td> 
       <td class="custom-bottom-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.032</p></td> 
       <td class="custom-bottom-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.042</p></td> 
       <td class="custom-bottom-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.761</p></td> 
       <td class="custom-bottom-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.447</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center">Outcome variable</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">R</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">R<sup>2</sup></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">F</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center">Work engagement</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.671</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.450</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">216.694</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">B</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">SE</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">t</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">p</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="33.18%"><p style="text-align:center">Constant</p></td> 
       <td class="custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.833</p></td> 
       <td class="custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.160</p></td> 
       <td class="custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">5.191</p></td> 
       <td class="custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.18%"><p style="text-align:center">Psychological safety</p></td> 
       <td class="acenter" width="16.70%" colspan="2"><p style="text-align:center">0.522</p></td> 
       <td class="acenter" width="16.71%" colspan="2"><p style="text-align:center">0.031</p></td> 
       <td class="acenter" width="16.70%" colspan="2"><p style="text-align:center">16.734</p></td> 
       <td class="acenter" width="16.71%" colspan="2"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.18%"><p style="text-align:center">Deep acting</p></td> 
       <td class="custom-bottom-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.275</p></td> 
       <td class="custom-bottom-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.039</p></td> 
       <td class="custom-bottom-td acenter" width="16.70%" colspan="2"><p style="text-align:center">7.054</p></td> 
       <td class="custom-bottom-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.000***</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="9"><p style="text-align:center">Conditional indirect effect</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center">Group</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.35%"><p style="text-align:center">SA</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">Effect</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">SE</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">LLCI</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%"><p style="text-align:center">ULCI</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="33.18%"><p style="text-align:center">M − 1 SD</p></td> 
       <td class="custom-top-td acenter" width="13.35%"><p style="text-align:center">3.655</p></td> 
       <td class="custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.023</p></td> 
       <td class="custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.018</p></td> 
       <td class="custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">−0.019</p></td> 
       <td class="custom-top-td acenter" width="13.37%"><p style="text-align:center">0.053</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="33.18%"><p style="text-align:center">M</p></td> 
       <td class="acenter" width="13.35%"><p style="text-align:center">4.267</p></td> 
       <td class="acenter" width="13.37%" colspan="2"><p style="text-align:center">0.028</p></td> 
       <td class="acenter" width="13.37%" colspan="2"><p style="text-align:center">0.011</p></td> 
       <td class="acenter" width="13.37%" colspan="2"><p style="text-align:center">0.008</p></td> 
       <td class="acenter" width="13.37%"><p style="text-align:center">0.049</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="33.18%"><p style="text-align:center">M + 1 SD</p></td> 
       <td class="custom-bottom-td acenter" width="13.35%"><p style="text-align:center">4.879</p></td> 
       <td class="custom-bottom-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.034</p></td> 
       <td class="custom-bottom-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.015</p></td> 
       <td class="custom-bottom-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.009</p></td> 
       <td class="custom-bottom-td acenter" width="13.37%"><p style="text-align:center">0.068</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="9"><p style="text-align:center">Conditional direct effect</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center">Effect</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.35%"><p style="text-align:center">SE</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">t</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">p</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">LLCI</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%"><p style="text-align:center">ULCI</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center">0.522</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.35%"><p style="text-align:center">0.031</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">16.734</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.000</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%" colspan="2"><p style="text-align:center">0.461</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.37%"><p style="text-align:center">0.584</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="9"><p style="text-align:center">Index of moderated mediation</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="33.18%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">Index</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">Boot SE</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">Boot LLCI</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">Boot ULCI</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="33.18%"><p style="text-align:center">Surface acting</p></td> 
       <td class="custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">0.009</p></td> 
       <td class="custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.021</p></td> 
       <td class="custom-top-td acenter" width="16.70%" colspan="2"><p style="text-align:center">−0.022</p></td> 
       <td class="custom-top-td acenter" width="16.71%" colspan="2"><p style="text-align:center">0.059</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Note: W = moderator; Number of bootstrap samples = 5000; Level of confidence = 95%. Asterisks *, **, *** indicate two-tailed significance at the 0.10, 0.05, and 0.01 levels, respectively.</p>
   </sec>
  </sec><sec id="s5">
   <title>5. Discussion</title>
   <p>Our study aimed to examine the relationship between psychological safety, surface acting (facial or fake expressions), deep acting (inner or genuine feelings), and work engagement (H1-H3). Initially, we hypothesized that deep acting would mediate (H5) and moderate (H6) the relationship between psychological safety and work engagement. We also explored surface acting as a moderator between psychological safety and deep acting, which was not supported (H4). Funeral service workers often appear generous and sublime, offering their services with sympathy, which may lead them to exhibit genuine rather than fake feelings. The results indicated that funeral service workers who experienced higher perceived psychological safety through their leaders, teams, and colleagues were more likely to reduce their reliance on facial expressions and enhance their psychological well-being, thus positively linking psychological safety to deep acting (e.g., <xref ref-type="bibr" rid="scirp.135776-8">
     Cropanzano et al., 2003
    </xref>; <xref ref-type="bibr" rid="scirp.135776-23">
     Hur et al., 2016
    </xref>). Our findings supported the hypothesized moderated mediation model (H7; see <xref ref-type="table" rid="table8">
     Table 8
    </xref>). The results demonstrate that surface acting moderated the relationship between psychological safety and deep acting, such that the mediation relationship is stronger when surface acting is low rather than high. This study builds on previous research (e.g., <xref ref-type="bibr" rid="scirp.135776-13">
     Fu, 2015
    </xref>; <xref ref-type="bibr" rid="scirp.135776-33">
     Steiger et al., 2021
    </xref>) by providing a detailed examination of moderated mediation effects.</p>
   <sec id="s5_1">
    <title>5.1. Theoretical Implications</title>
    <p>Our study contributes to the literature in several areas, including psychological safety, emotional labor, work engagement, and the funeral service industry. First, it demonstrates how psychological safety can minimize the cost of emotional labor by serving as a prerequisite for deep acting and work engagement (<xref ref-type="bibr" rid="scirp.135776-13">
      Fu, 2015
     </xref>; <xref ref-type="bibr" rid="scirp.135776-23">
      Hur, Rhee, &amp; Ahn, 2016
     </xref>). Second, while previous studies have generally agreed that surface acting negatively affects work engagement and deep acting has a positive effect (<xref ref-type="bibr" rid="scirp.135776-32">
      Seo et al., 2023
     </xref>; <xref ref-type="bibr" rid="scirp.135776-41">
      Yoo &amp; Arnold, 2014
     </xref>), our study builds on this evidence by examining the moderated mediation role of emotional display rules, thereby enriching the literature. Lastly, few studies have explored psychological safety, emotional display rules, and work engagement among funeral service workers, a gap our study addresses, especially relevant in the era of the COVID-19 pandemic risk.</p>
   </sec>
   <sec id="s5_2">
    <title>5.2. Practical Implications</title>
    <p>The main practical implication of this study is that funeral service workers prefer to express their inner feelings rather than their facial expressions at work. This aligns with <xref ref-type="bibr" rid="scirp.135776-7">
      Cho’s (2020)
     </xref> perspective that funeral service workers must navigate a difficult path in serving grief-stricken families and exhibit a wide range of emotions, including strength, compassion, sympathy, somberness, and vulnerability. Hence, we suggest that funeral service employers should create a psychologically safe environment to improve employee engagement. Furthermore, the recruitment process should prioritize candidates from related funeral studies departments, such as life-and-death studies, funeral service, and funeral science, as these professionals possess increasingly valuable skills. Moreover, since work engagement stems from the psychological experiences of self-in-role (<xref ref-type="bibr" rid="scirp.135776-24">
      Kahn, 1990
     </xref>) and is influenced by the collective mood of colleagues (<xref ref-type="bibr" rid="scirp.135776-4">
      Bakker, 2022
     </xref>), we recommend that funeral service managers foster a team spirit among employees and promote a harmonious workplace environment, rather than focusing excessively on doctrines, rules, and training.</p>
   </sec>
   <sec id="s5_3">
    <title>5.3. Research Limitations and Future Studies</title>
    <p>Possible limitations of the present study should be considered. One major limitation is the reliance on self-report questionnaires, which may not accurately capture all respondents’ true feelings. Including both customers (grief-stricken families) and funeral service workers in future studies could provide more comprehensive insights than self-reported data alone. Although our study demonstrated the relationship among psychological safety, emotional display rules, and work engagement, and also highlighted the negative effect of surface acting and the positive effect of deep acting, many potential predictors, mediators, and moderators were not explored. Additionally, the question of how to minimize the cost of emotional labor remains, despite the extensive literature on the topic. Therefore, we suggest incorporating more predictors related to emotional labor and work engagement in future research.</p>
   </sec>
  </sec><sec id="s6">
   <title>6. Conclusion</title>
   <p>Understanding how psychological safety influences workers’ emotional labor display (facial expression/inner feeling) and work engagement is particularly important in today’s funeral service industry. This study has raised more concern about these issues, especially among frontline service employees in the funeral service sector amid the spread of coronavirus. Indeed, “I could not stop for death” (<xref ref-type="bibr" rid="scirp.135776-9">
     Dickinson, 1960
    </xref>), which has extended the range of fear and sympathy.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.135776-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Aplin-Houtz, M. J., Sanders, M. G., Lane, E. K.,&amp;Jefferies, T. C. (2022). Coughing Customer: The Interplay of the Behavioral Immune System and Emotional Labor of Frontline Workers. Employee Responsibilities and Rights Journal, 35, 395-415. &gt;https://doi.org/10.1007/s10672-022-09416-3
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ashforth, B. E.,&amp;Humphrey, R. H. (1993). Emotional Labor in Service Roles: The Influence of Identity. Academy of Management Review, 18, 88-115. &gt;https://doi.org/10.2307/258824
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bagozzi, R. P.,&amp;Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16, 74-94. &gt;https://doi.org/10.1007/BF02723327
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bakker, A. B. (2022). The Social Psychology of Work Engagement: State of the Field. Career Development International, 27, 36-53. &gt;https://doi.org/10.1108/CDI-08-2021-0213
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brotheridge, C. M.,&amp;Grandey, A. A. (2002). Emotional Labor and Burnout: Comparing Two Perspectives of “People Work”. Journal of Vocational Behavior, 60, 17-39. &gt;https://doi.org/10.1006/jvbe.2001.1815
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brotheridge, C. M.,&amp;Lee, R. T. (2002). Testing a Conservation of Resources Model of the Dynamics of Emotional Labor. Journal of Occupational Health Psychology, 7, 57-67. &gt;https://doi.org/10.1037/1076-8998.7.1.57
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cho, C. J. (2020). The Work of the Funeral Director: Emotional Labor, Family, and Friends. University of Central Oklahoma.
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cropanzano, R., Weiss, H. M.,&amp;Elias, S. M. (2003). The Impact of Display Rules and Emotional Labor on Psychological Well-Being at Work. In P. L. Perrewe,&amp;D. C. Ganster (Eds.), Emotional and Physiological Processes and Positive Intervention Strategies (pp. 45-89). Emerald Group Publishing Limited. &gt;https://doi.org/10.1016/S1479-3555(03)03002-6
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Dickinson, E. (1960). Because I could not stop for Death. ProQuest LLC. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Dijkstra, T. K.,&amp;Henseler, J. (2015). Consistent Partial Least Squares Path Modeling. MIS Quarterly, 39, 297-316. &gt;https://doi.org/10.25300/MISQ/2015/39.2.02
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Edmondson, A. (1999). Psychological Safety and Learning Behavior in Work Teams. Administrative Science Quarterly, 44, 350-383. &gt;https://doi.org/10.2307/2666999
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fornell, C.,&amp;Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50. &gt;https://doi.org/10.1177/002224378101800104
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Fu, C. S. (2015). The Effect of Emotional Labor on Job Involvement in Preschool Teachers: Verifying the Mediating Effect of Psychological Capital. Turkish Online Journal of Educational Technology-TOJET, 14, 145-156. 
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Glomb, T. M.,&amp;Tews, M. J. (2004). Emotional Labor: A Conceptualization and Scale Development. Journal of Vocational Behavior, 64, 1-23. &gt;https://doi.org/10.1016/S0001-8791(03)00038-1
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Grandey, A. A. (2003). When “the Show Must Go on”: Surface Acting and Deep Acting as Determinants of Emotional Exhaustion and Peer-Rated Service Delivery. Academy of management Journal, 46, 86-96. &gt;https://doi.org/10.2307/30040678
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hair, J. F., Risher, J. J., Sarstedt, M.,&amp;Ringle, C. M. (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31, 2-24. &gt;https://doi.org/10.1108/EBR-11-2018-0203
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hair, J. F., Sarstedt, M., Ringle, C. M.,&amp;Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, 40, 414-433. &gt;https://doi.org/10.1007/s11747-011-0261-6
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hayes, A. F. (2017). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Publications.
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Henseler, J. (2012). PLS-MGA: A Non-Parametric Approach to Partial Least Squares-Based Multi-Group Analysis. In W. A. Gaul, et al. (Eds.), Challenges at the Interface of Data Analysis, Computer Science, and Optimization (pp. 495-501). Springer. &gt;https://doi.org/10.1007/978-3-642-24466-7_50
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hicks, E., Mashinchi, G., Heppner, H., Bean, P.,&amp;Maxson, C. (2022). PTSD Prevalence Rates of US Funeral Directors during the COVID-19 Pandemic: A Brief Report. Advanced Journal of Social Science, 10, 45-51. &gt;https://doi.org/10.21467/ajss.10.1.45-51
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hill, N. S., Zhang, H., Zhang, X.,&amp;Ziwei, Y. (2020). The Impact of Surface and Deep Acting on Employee Creativity. Creativity Research Journal, 32, 287-298. &gt;https://doi.org/10.1080/10400419.2020.1821564
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hochschild Arlie, R. (1983). The Managed Heart: Commercialization of Human Feeling. University of California Press.
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hur, W. M., Rhee, S. Y.,&amp;Ahn, K. H. (2016). Positive Psychological Capital and Emotional Labor in Korea: The Job Demands-Resources Approach. The International Journal of Human Resource Management, 27, 477-500. &gt;https://doi.org/10.1080/09585192.2015.1020445
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kahn, W. A. (1990). Psychological Conditions of Personal Engagement and Disengagement at Work. Academy of Management Journal, 33, 692-724. &gt;https://doi.org/10.2307/256287
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lin, S. P. (2000). The Development Organization Emotional Labor Scale. Sun Yat-Sen Management Review, 3, 427-447.
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ministry of Interior MOI (2020). Yearly Bulletin of Interior Statistics. &gt;https://www.moi.gov.tw/english/cl.aspx?n=7768 
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ministry of Labor MOL (2022). Labor Statistics Survey 2021. &gt;https://statfy.mol.gov.tw/statistic_DB.aspx 
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Olivier, A. L.,&amp;Rothmann, S. (2007). Antecedents of Work Engagement in a Multinational Company. SA Journal of Industrial Psychology, 33, 49-56. &gt;https://hdl.handle.net/10520/EJC186810 &gt;https://doi.org/10.4102/sajip.v33i3.396
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Raykov, T. (2009). Evaluation of Scale Reliability for Unidimensional Measures Using Latent Variable Modeling. Measurement and Evaluation in Counseling and Development, 42, 223-232. &gt;https://doi.org/10.1177/0748175609344096
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schaufeli, W. B., Bakker, A. B.,&amp;Salanova, M. (2006). The Measurement of Work Engagement with a Brief Questionnaire: A Cross-National Study. Educational and Psychological Measurement, 66, 701-716. &gt;https://doi.org/10.1177/0013164405282471
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schaufeli, W. B., Salanova, M., Gonzalez-Roma, V.,&amp;Bakker, A. B. (2002). The Measurement of Engagement and Burnout: A Two Sample Confirmatory Factor Analytic Approach. Journal of Happiness Studies, 3, 71-92. &gt;https://doi.org/10.1023/A:1015630930326
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Seo, E. C., Sim, Y. K., Kim, I., Seo, J. P., Ha, M. S.,&amp;Kim, S. E. (2023). The Mediating Effect of Presenteeism on the Relationship between Emotional Labor and Work Engagement of Coaches for Disability Sports. International Journal of Environmental Research and Public Health, 20, Article No. 919. &gt;https://doi.org/10.3390/ijerph20020919
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Steiger, M., Bharucha, T. J., Venkatagiri, S., Riedl, M. J.,&amp;Lease, M. (2021). The Psychological Well-Being of Content Moderators: The Emotional Labor of Commercial Moderation and Avenues for Improving Support. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-14). Association for Computing Machinery. &gt;https://doi.org/10.1145/3411764.3445092
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Subramony, M., Golubovskaya, M., Keating, B., Solnet, D., Field, J.,&amp;Witheriff, M. (2022). The Influence of Pandemic-Related Workplace Safety Practices on Frontline Service Employee Wellbeing Outcomes. Journal of Business Research, 149, 363-374. &gt;https://doi.org/10.1016/j.jbusres.2022.05.040
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M.,&amp;Lauro, C. (2005). PLS Path Modeling. Computational Statistics&amp;Data Analysis, 48, 159-205. &gt;https://doi.org/10.1016/j.csda.2004.03.005
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Van Dijk, P. A.,&amp;Brown, A. K. (2006). Emotional Labour and Negative Job Outcomes: An Evaluation of the Mediating Role of Emotional Dissonance. Journal of Management &amp; Organization, 12, 101-115. &gt;https://doi.org/10.5172/jmo.2006.12.2.101
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wetzels, M., Odekerken-Schröder, G.,&amp;Van Oppen, C. (2009). Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration. MIS Quarterly, 33, 177-195. &gt;https://doi.org/10.2307/20650284
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wharton, A. S. (1999). The Psychosocial Consequences of Emotional Labor. The Annals of the American Academy of Political and Social Science, 561, 158-176. &gt;https://doi.org/10.1177/000271629956100111
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wharton, A. S. (2009). The Sociology of Emotional Labor. Annual Review of Sociology, 35, 147-165. &gt;https://doi.org/10.1146/annurev-soc-070308-115944
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref40">
    <label>40</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wong, K. K. K. (2019). Mastering Partial Least Squares Structural Equation Modeling (PLS-Sem) with Smartpls in 38 Hours. IUniverse.
    </mixed-citation>
   </ref>
   <ref id="scirp.135776-ref41">
    <label>41</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yoo, J. J.,&amp;Arnold, T. J. (2014). Customer Orientation, Engagement, and Developing Positive Emotional Labor. The Service Industries Journal, 34, 1272-1288. &gt;https://doi.org/10.1080/02642069.2014.942653
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>