<?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">JSS</journal-id><journal-title-group><journal-title>Open Journal of Social Sciences</journal-title></journal-title-group><issn pub-type="epub">2327-5952</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jss.2015.34015</article-id><article-id pub-id-type="publisher-id">JSS-55909</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Relationship between Employee Psychological Capital and Change-Supportive Behavior—Mediating Effect of Cognitive of Change
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ingjuan</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>School of Management, Jinan University, Guangzhou, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>LJWang_907@163.com</email></corresp></author-notes><pub-date pub-type="epub"><day>27</day><month>03</month><year>2015</year></pub-date><volume>03</volume><issue>04</issue><fpage>125</fpage><lpage>133</lpage><history><date date-type="received"><day>3</day>	<month>April</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>20</month>	<year>April</year>	</date><date date-type="accepted"><day>23</day>	<month>April</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  For the transition period of Chinese enterprises, change has become an important part of corporate life, and employees’ support for change is the key to successful business change. Psychological capital, as a core positive psychological element of employee, plays an important role in organizational change. Drawing upon the existing literature and using a sample of employees, this study investigated the relationship of employee psychological capital, cognitive of change, and change-supportive behavior. Results revealed that employee psychological capital was positively related to change-supportive behavior, with this relationship mediated by cognitive of change.
 
</p></abstract><kwd-group><kwd>Organizational Change</kwd><kwd> Employee Psychological Capital</kwd><kwd> Cognitive of Change</kwd><kwd> Change-Supportive Behavior</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>With the innovation of science and technology, in order to adapt to different environment and maintain advantages in the fierce competition, change is necessary for organization. Organizational change is regarded as an important method to promote organizational structure optimization. According to the literature, the attitude and behavior reaction to change of employees is the key to the success of change (Herscovitch &amp; Meyer, 2002) [<xref ref-type="bibr" rid="scirp.55909-ref1">1</xref>] . Employee resistance to change is the main cause of the failure (Wanberg &amp; Banas, 2000; Kotter &amp; Cohen, 2002; Van Rnippenberg et al., 2006) [<xref ref-type="bibr" rid="scirp.55909-ref2">2</xref>] -[<xref ref-type="bibr" rid="scirp.55909-ref4">4</xref>] . Therefore, to ensure the smooth implementation of organizational change, enterprise should try to reduce the resistance of employees, and actively promote the change-supportive behavior.</p><p>As a positive psychological element of individual, psychological capital has become an important way to enhance the core competitiveness of enterprises and keep sustainable competitive advantage, and it plays an important role in organizational change. This study investigated the relationship of employee psychological capital, cognitive of change, and change-supportive behavior to expand the research of psychological capital and provide the theoretical support for the reform management of enterprise.</p></sec><sec id="s2"><title>2. Theory and Hypothesis</title><sec id="s2_1"><title>2.1. Employee Psychological Capital and Change-Supportive Behavior</title><p>Psychological capital represents an individual’s positive psychological state of development that is characterized by four psychological resources: efficacy, hope, optimism and resilience (Luthans et al., 2007) [<xref ref-type="bibr" rid="scirp.55909-ref5">5</xref>] . Change- supportive behavior is defined as actions employees engage in to actively participate in, facilitate, and contribute to a planned change (Kim et al., 2011) [<xref ref-type="bibr" rid="scirp.55909-ref6">6</xref>] . Researches have generally supported a positive relationship between psychological capital and change-supportive behavior. For example, Wanberg and Banas (2000) [<xref ref-type="bibr" rid="scirp.55909-ref2">2</xref>] found that personal resilience (a composite of self-esteem, optimism, and perceived control) was related to higher levels of change acceptance in their longitudinal study. Herold et al. (2008) [<xref ref-type="bibr" rid="scirp.55909-ref7">7</xref>] also have provided evidence suggesting that individuals’ self-efficacy had a positive effect on its commitment to change, and commitment to change was better than organizational commitment to predict employees’ change-supportive behavior (Herscovitch &amp; Meyer, 2002) [<xref ref-type="bibr" rid="scirp.55909-ref1">1</xref>] . Based on the above analysis, we propose the following hypothesis:</p><p>Hypothesis 1: Employee psychological capital positively relates to their change-supportive behavior.</p></sec><sec id="s2_2"><title>2.2. Employee Psychological Capital and Cognitive of Change</title><p>Cognitive of change refers to the view and opinions of organization members for their organizational environment and change, according to their own experience mode. Based on the cognitive of change, individual is to choose the attitude and behavior in organizational change (Lin, 2010) [<xref ref-type="bibr" rid="scirp.55909-ref8">8</xref>] . According to previous researches on psychological capital and organizational change, employee psychological capital can predict their cognitive of Change. In the study of the relationship among employees’ personality, organizational environment, and resistance to change, Oreg (2006) [<xref ref-type="bibr" rid="scirp.55909-ref9">9</xref>] has found that employees’ personality traits and life background were significantly positively correlated with the attitudes toward organizational change of them. As the example of nurse, Bartunek (2006) [<xref ref-type="bibr" rid="scirp.55909-ref10">10</xref>] has found that employees’ emotional responses would affect their perceptions of organizational change. Based on the above analysis, we propose the following hypothesis:</p><p>Hypothesis 2: Employee psychological capital positively relates to their cognitive of change.</p></sec><sec id="s2_3"><title>2.3. Cognitive of Change and Change-Supportive Behavior</title><p>In line with the Planning Behavior Theory, people’s behavior is the result of deliberate planning, individual’s behavior can be predict and explain by their attitude. Therefore, employees’ cognitive of change can predict their change-supportive behavior. And the conclusion has been confirmed by researchers. Caldwell et al. (2004) [<xref ref-type="bibr" rid="scirp.55909-ref11">11</xref>] examined individuals’ perceptions of changes in 34 different organizational work units, results suggested that perception in person-environment fit could effectively predict the adaptability of employees in the change. Kim et al. (2011) [<xref ref-type="bibr" rid="scirp.55909-ref6">6</xref>] also found that employees’ cognition of the potential benefits of change would have a positive influence on change-supportive behavior. Based on the above analysis, we propose the following hypothesis:</p><p>Hypothesis 3: Employees’ cognitive of change positively relates to their change-supportive behavior.</p></sec><sec id="s2_4"><title>2.4. Employee Psychological Capital, Cognitive of Change and Change-Supportive Behavior</title><p>Behavior Reasoning Theory indicates that individuals’ beliefs and values are the basis of behavior, beliefs and values will directly affect the explanation of individual for their actions, once the individual have a positive evaluation on certain types of behavior, it would be easier to do this kind of behavior. Therefore, we believe that cognitive of change is likely to play a mediating role in the relationship of employee psychological capital and change-supportive behavior. Using a sample of 132 employees, Avery et al. (2008) [<xref ref-type="bibr" rid="scirp.55909-ref12">12</xref>] studied the impact of psychological capital and emotional on employees’ organizational change attitudes and behavior, the results showed that employee psychological capital was related to their positive emotions, and positive emotions generally mediated the relationship between psychological capital and the attitudes and behaviors. Based on the above analysis, we propose the following hypothesis:</p><p>Hypothesis 4: Cognitive of change mediates the positive relationship between employee psychological capital and change-supportive behavior.</p><p>To sum up, model of this study is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p></sec></sec><sec id="s3"><title>3. Method</title><sec id="s3_1"><title>3.1. Participants and Procedures</title><p>Participants for this study were enterprise leaders and employees from all over the country, the selection was based on convenience sampling. To avoid same source bias, this study divided the questionnaire into a leader questionnaire and an employee questionnaire. The leaders completed the questionnaire for change-supportive behavior to assess their direct followers’ change-supportive behavior, and the employees completed the questionnaires for psychological capital and cognitive of change to evaluate their own level of psychological capital and cognitive of change.</p><p>All surveys were completed by field test and email during regular work hours. This study distributed 50 leader questionnaires and 200 employee questionnaires, and retrieved 48 leader questionnaires, 3 invalid questionnaire was eliminated, leaving 45 valid questionnaires, for a valid return rate of 90.0%; and retrieved 185 employee questionnaires, 13 invalid questionnaires were eliminated, leaving 172 valid questionnaires, for a valid return rate of 86.0%. Each leader evaluated average three to four direct employee.</p><p>The descriptive statistics of leaders are shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>The descriptive statistics of employees are shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s3_2"><title>3.2. Measures</title><p>Employee Psychological Capital. We adopted a modified version of the psychological capital questionnaire (PCQ; Luthans et al., 2007) [<xref ref-type="bibr" rid="scirp.55909-ref5">5</xref>] by Wen et al. (2009) [<xref ref-type="bibr" rid="scirp.55909-ref13">13</xref>] . The modified scale included 16 questions, measured confidence, hope, resilience and optimism four dimensions, and used a 5-point response format (1 = “strongly disagree”, 5 = “strongly agree”). An example item is “I feel confident in representing my work area in meetings with management”. The internal consistency reliability (Cronbach’s α) estimate for the employee psychological capital was 0.885.</p><p>Cognitive of Change. We measured cognitive of change based on an eight-item scale developed by Wu (2009) [<xref ref-type="bibr" rid="scirp.55909-ref14">14</xref>] and Du (2013) [<xref ref-type="bibr" rid="scirp.55909-ref15">15</xref>] , which included cognitive of change significance and cognitive of change effects two dimensions, respondents rated the statements on a 5-point Likert scale (1 = “strongly disagree”, 5 = “strongly agree”). An example item is “It is necessary to change for enterprise, only change can improve the competitiveness of enterprise”. In this study, the Cronbach’s α was 0.879.</p><p>Change-Supportive Behavior. Change-supportive behavior was a one-dimensional concept, this study used a five-item scale developed by Zhang (2010) [<xref ref-type="bibr" rid="scirp.55909-ref16">16</xref>] to assess employees’ change-supportive behavior for leaders,</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Hypothesized relationships</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/15-1760469x5.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Descriptive statistics of leaders (N = 45)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Category</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >80.0</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >20.0</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Age</td><td align="center" valign="middle" >22 - 28 years old</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >29 - 34 years old</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >20.0</td></tr><tr><td align="center" valign="middle" >35 - 40 years old</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >22.2</td></tr><tr><td align="center" valign="middle" >41 years old and above</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >48.9</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Educational Background</td><td align="center" valign="middle" >College degree and below</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >22.2</td></tr><tr><td align="center" valign="middle" >Undergraduate</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >57.8</td></tr><tr><td align="center" valign="middle" >Master degree and above</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >20.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Tenure</td><td align="center" valign="middle" >2 - 5 years</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >15.5</td></tr><tr><td align="center" valign="middle" >6 - 10 years</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >13.3</td></tr><tr><td align="center" valign="middle" >More than 10 years</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >71.1</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Position</td><td align="center" valign="middle" >Basic leaders</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >28.9</td></tr><tr><td align="center" valign="middle" >Middle leaders</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >64.4</td></tr><tr><td align="center" valign="middle" >Senior leaders</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6.7</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Descriptive statistics of employees (N = 172</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Category</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >48.3</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >51.7</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Age</td><td align="center" valign="middle" >22 - 28 years old</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >59.3</td></tr><tr><td align="center" valign="middle" >29 - 34 years old</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >13.4</td></tr><tr><td align="center" valign="middle" >35 - 40 years old</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >10.5</td></tr><tr><td align="center" valign="middle" >41 years old and above</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >16.9</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Educational Background</td><td align="center" valign="middle" >College degree and below</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >27.3</td></tr><tr><td align="center" valign="middle" >Undergraduate</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >56.4</td></tr><tr><td align="center" valign="middle" >Master degree and above</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >16.3</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Tenure</td><td align="center" valign="middle" >Less than 2 years</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >24.4</td></tr><tr><td align="center" valign="middle" >2 - 5 years</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >39.5</td></tr><tr><td align="center" valign="middle" >6 - 10 years</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >8.1</td></tr><tr><td align="center" valign="middle" >More than 10 years</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >27.9</td></tr></tbody></table></table-wrap><p>respondents rated the statements on a 5-point Likert scale (1 = “strongly disagree”, 5 = “strongly agree”). An example item is “This employee encourages actions to support the realization of the change”. In this study, the Cronbach’s α was 0.870.</p></sec><sec id="s3_3"><title>3.3. Analytic Strategy</title><p>This study used SPSS20.0 as an analytic tool to estimate the relationship among employee psychological capital, cognitive of change and change-supportive behavior. And used ordinary least squares (OLS) regressions to estimate the variance explained by these variables.</p></sec></sec><sec id="s4"><title>4. Results</title><sec id="s4_1"><title>4.1. Correlation Analysis</title><p>The correlation coefficients among the variables are shown in <xref ref-type="table" rid="table3">Table 3</xref>. Correlation among the dimensions of employee psychological capital, cognitive of change and change-supportive behavior are significant at the 0.05 level, indicating that there is a close relationship among these variables, and no potential multilinearity problem, suitable for regression analysis.</p></sec><sec id="s4_2"><title>4.2. Hypothesis Tests</title><p>The study used multiple regression analysis to test these hypotheses.</p><p>Hypothesis 1: Direct effect of employee psychological capital and change-supportive behavior. <xref ref-type="table" rid="table4">Table 4</xref> presents the regression analysis results testing the effect of employee psychological capital on change-supportive behavior. As shown in <xref ref-type="table" rid="table4">Table 4</xref>, control variable and employee psychological capital have a significant impact on change-supportive behavior (R<sup>2</sup> = 0.218, p &lt; 0.001, Model 2), Hypothesis 1 is supported. Further analysis revealed that hope (β = 0.202, p &lt; 0.05) and optimism (β = 0.235, p &lt; 0.05) are significantly related to change-supportive behavior, confidence (β = 0.133, p &gt; 0.05) and resilience (β = −0.097, p &gt; 0.05) have no significant effect on change-supportive behavior.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlation analysis of the variables</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >1</th><th align="center" valign="middle" >2</th><th align="center" valign="middle" >3</th><th align="center" valign="middle" >4</th><th align="center" valign="middle" >5</th><th align="center" valign="middle" >6</th><th align="center" valign="middle" >7</th></tr></thead><tr><td align="center" valign="middle" >1 Confidence</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >2 Hope</td><td align="center" valign="middle" >0.589<sup>***</sup></td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >3 Resilience</td><td align="center" valign="middle" >0.505<sup>***</sup></td><td align="center" valign="middle" >0.528<sup>***</sup></td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >4 Optimism</td><td align="center" valign="middle" >0.558<sup>***</sup></td><td align="center" valign="middle" >0.555<sup>***</sup></td><td align="center" valign="middle" >0.442<sup>***</sup></td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >5 Cognitive of significance</td><td align="center" valign="middle" >0.181<sup>**</sup></td><td align="center" valign="middle" >0.157<sup>*</sup></td><td align="center" valign="middle" >0.159<sup>*</sup></td><td align="center" valign="middle" >0.288<sup>***</sup></td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >6 Cognitive of effects</td><td align="center" valign="middle" >0.294<sup>***</sup></td><td align="center" valign="middle" >0.323<sup>***</sup></td><td align="center" valign="middle" >0.217<sup>**</sup></td><td align="center" valign="middle" >0.474<sup>***</sup></td><td align="center" valign="middle" >0.585<sup>***</sup></td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >7 Change-supportive behavior</td><td align="center" valign="middle" >0.335<sup>***</sup></td><td align="center" valign="middle" >0.360<sup>***</sup></td><td align="center" valign="middle" >0.208<sup>***</sup></td><td align="center" valign="middle" >0.398<sup>***</sup></td><td align="center" valign="middle" >0.207<sup>**</sup></td><td align="center" valign="middle" >0.372<sup>***</sup></td><td align="center" valign="middle" >1.000</td></tr></tbody></table></table-wrap><p>Note: N = 172. <sup>*</sup>p &lt; 0.05, <sup>**</sup>p &lt; 0.01, <sup>***</sup>p &lt; 0.001.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Results of regression analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Change-Supportive Behavior</th></tr></thead><tr><td align="center" valign="middle" >Model 1</td><td align="center" valign="middle" >Model 2</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >0.066</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >0.083</td><td align="center" valign="middle" >−0.006</td></tr><tr><td align="center" valign="middle" >Educational Background</td><td align="center" valign="middle" >0.052</td><td align="center" valign="middle" >0.041</td></tr><tr><td align="center" valign="middle" >Tenure</td><td align="center" valign="middle" >0.051</td><td align="center" valign="middle" >0.190</td></tr><tr><td align="center" valign="middle" >Confidence</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.133</td></tr><tr><td align="center" valign="middle" >Hope</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.202<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Resilience</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >−0.097</td></tr><tr><td align="center" valign="middle" >Optimism</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.235<sup>*</sup></td></tr><tr><td align="center" valign="middle" >R<sup>2 </sup></td><td align="center" valign="middle" >0.041</td><td align="center" valign="middle" >0.218</td></tr><tr><td align="center" valign="middle" >Adjusted R<sup>2</sup></td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >0.170</td></tr><tr><td align="center" valign="middle" >F Change</td><td align="center" valign="middle" >1.178</td><td align="center" valign="middle" >4.491<sup>***</sup></td></tr></tbody></table></table-wrap><p>Note: N = 172. <sup>*</sup>p &lt; 0.05, <sup>**</sup>p &lt; 0.01, <sup>***</sup>p &lt; 0.001.</p><p>Hypothesis 2: Direct effect of employee psychological capital and cognitive of change. <xref ref-type="table" rid="table5">Table 5</xref> presents the regression analysis results. As shown in <xref ref-type="table" rid="table5">Table 5</xref>, control variable and employee psychological capital have a significant impact on cognitive of change (R<sup>2</sup> = 0.211, p &lt; 0.001, Model 4), this result provide support for Hypotheses 2. Further analysis revealed that optimism (β = 0.383, p &lt; 0.001) are significantly related to cognitive of change, and then confidence (β = 0.061, p &gt; 0.05), hope (β = 0.014, p &gt; 0.05) and resilience (β = 0.024, p &gt; 0.05) have no significant effect on cognitive of change.</p><p>Hypothesis 3: Direct effect of cognitive of change and change-supportive behavior. <xref ref-type="table" rid="table6">Table 6</xref> presents the regression analysis results. As shown in <xref ref-type="table" rid="table6">Table 6</xref>, control variable and cognitive of change have a significant impact on change-supportive behavior (R<sup>2</sup> = 0.173, p &lt; 0.001, Model 6), Hypothesis 3 is supported. Further analysis revealed that cognitive of effects (β = 0.378, p &lt; 0.001) is significantly related to change-supportive behavior, and cognitive of significance (β = −0.022, p &gt; 0.05) has no effect on change-supportive behavior.</p><p>Hypothesis 4 predicted that cognitive of change would mediate the relationship between employee psychological capital and change-supportive behavior. Intermediary regression analysis results are shown in <xref ref-type="table" rid="table7">Table 7</xref>.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Results of regression analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Cognitive of Change</th></tr></thead><tr><td align="center" valign="middle" >Model 3</td><td align="center" valign="middle" >Model 4</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" >−0.005</td><td align="center" valign="middle" >0.020</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >−0.131</td><td align="center" valign="middle" >−0.262</td></tr><tr><td align="center" valign="middle" >Educational Background</td><td align="center" valign="middle" >−0.105</td><td align="center" valign="middle" >−0.095</td></tr><tr><td align="center" valign="middle" >Tenure</td><td align="center" valign="middle" >0.023</td><td align="center" valign="middle" >0.176</td></tr><tr><td align="center" valign="middle" >Confidence</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.061</td></tr><tr><td align="center" valign="middle" >Hope</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.014</td></tr><tr><td align="center" valign="middle" >Resilience</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.024</td></tr><tr><td align="center" valign="middle" >Optimism</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.383<sup>***</sup></td></tr><tr><td align="center" valign="middle" >R<sup>2 </sup></td><td align="center" valign="middle" >0.033</td><td align="center" valign="middle" >0.211</td></tr><tr><td align="center" valign="middle" >Adjusted R<sup>2</sup></td><td align="center" valign="middle" >−0.002</td><td align="center" valign="middle" >0.162</td></tr><tr><td align="center" valign="middle" >F Change</td><td align="center" valign="middle" >0.952</td><td align="center" valign="middle" >4.294<sup>***</sup></td></tr></tbody></table></table-wrap><p>Note: N = 172. <sup>*</sup>p &lt; 0.05, <sup>**</sup>p &lt; 0.01, <sup>***</sup>p &lt; 0.001.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Results of regression analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Change-Supportive Behavior</th></tr></thead><tr><td align="center" valign="middle" >Model 5</td><td align="center" valign="middle" >Model 6</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >0.014</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >0.083</td><td align="center" valign="middle" >0.098</td></tr><tr><td align="center" valign="middle" >Educational Background</td><td align="center" valign="middle" >0.052</td><td align="center" valign="middle" >0.081</td></tr><tr><td align="center" valign="middle" >Tenure</td><td align="center" valign="middle" >0.051</td><td align="center" valign="middle" >0.076</td></tr><tr><td align="center" valign="middle" >Cognitive of significance</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−0.022</td></tr><tr><td align="center" valign="middle" >Cognitive of effects</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.378<sup>***</sup></td></tr><tr><td align="center" valign="middle" >R<sup>2 </sup></td><td align="center" valign="middle" >0.041</td><td align="center" valign="middle" >0.173</td></tr><tr><td align="center" valign="middle" >Adjusted R<sup>2</sup></td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >0.132</td></tr><tr><td align="center" valign="middle" >F Change</td><td align="center" valign="middle" >1.178</td><td align="center" valign="middle" >4.252<sup>***</sup></td></tr></tbody></table></table-wrap><p>Note: N = 172. <sup>*</sup>p &lt; 0.05, <sup>**</sup>p &lt; 0.01, <sup>***</sup>p &lt; 0.001.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Results of intermediary regression analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Independent variable</th><th align="center" valign="middle"  colspan="5"  >Dependent variable</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Change-Supportive Behavior</td><td align="center" valign="middle"  colspan="2"  >cognitive of change</td><td align="center" valign="middle" >Change-Supportive Behavior</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Model 1</td><td align="center" valign="middle" >Model 7</td><td align="center" valign="middle" >Model 3</td><td align="center" valign="middle" >Model 8</td><td align="center" valign="middle" >Model 9</td></tr><tr><td align="center" valign="middle" >Step one: Control variables</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >0.039</td><td align="center" valign="middle" >−0.005</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >0.036</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >0.083</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >−0.131</td><td align="center" valign="middle" >−0.197</td><td align="center" valign="middle" >0.054</td></tr><tr><td align="center" valign="middle" >Educational</td><td align="center" valign="middle" >0.052</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >−0.105</td><td align="center" valign="middle" >−0.151</td><td align="center" valign="middle" >0.034</td></tr><tr><td align="center" valign="middle" >Tenure</td><td align="center" valign="middle" >0.051</td><td align="center" valign="middle" >0.089</td><td align="center" valign="middle" >0.023</td><td align="center" valign="middle" >0.060</td><td align="center" valign="middle" >0.077</td></tr><tr><td align="center" valign="middle" >Step two: The main effect</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >psychological capital</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.391<sup>***</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.383<sup>***</sup></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >The third step: The mediating effect</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >psychological capital</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.317<sup>***</sup></td></tr><tr><td align="center" valign="middle" >cognitive of change</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.194<sup>*</sup></td></tr><tr><td align="center" valign="middle" >R<sup>2</sup></td><td align="center" valign="middle" >0.041</td><td align="center" valign="middle" >0.186</td><td align="center" valign="middle" >0.033</td><td align="center" valign="middle" >0.172</td><td align="center" valign="middle" >0.217</td></tr><tr><td align="center" valign="middle" >Adjusted R<sup>2</sup></td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >0.151</td><td align="center" valign="middle" >−0.002</td><td align="center" valign="middle" >0.137</td><td align="center" valign="middle" >0.179</td></tr><tr><td align="center" valign="middle" >F Change</td><td align="center" valign="middle" >1.178</td><td align="center" valign="middle" >5.351<sup>***</sup></td><td align="center" valign="middle" >0.952</td><td align="center" valign="middle" >4.868<sup>***</sup></td><td align="center" valign="middle" >5.647<sup>***</sup></td></tr></tbody></table></table-wrap><p>Note: N = 172. <sup>*</sup>p &lt; 0.05, <sup>**</sup>p &lt; 0.01, <sup>***</sup>p &lt; 0.001.</p><p>We followed the three-step procedure for mediation described by Wen et al. (2004) [<xref ref-type="bibr" rid="scirp.55909-ref17">17</xref>] . Step 1, employee psychological capital needs to be related to change-supportive behavior. Regression results revealed that employee psychological capital was significantly related to change-supportive behavior (β = 0.391, p &lt; 0.001, Model 7). Step 2 requires that employee psychological capital be related to cognitive of change. This requirement was supported by the results of regression analysis (β = 0.383, p &lt; 0.001, Model 8). Finally, Step 3 requires that the significant relationship between employee psychological capital and change-supportive behavior (Step 1, Model 7) be reduced (partial mediation) or eliminated (complete mediation) when cognitive of change is introduced in the same model. Regression results revealed that cognitive of change was significantly related to change- supportive behavior (β = 0.194, p &lt; 0.05, Model 9). And the effect of employee psychological capital on change-supportive behavior was also significant after introducing cognitive of change in the same model (β = 0.317, p &lt; 0.001, Model 9). These results suggested that cognitive of change partially mediated the effect of employee psychological capital on change-supportive behavior. Hypothesis 4 is supported.</p></sec></sec><sec id="s5"><title>5. Discussion</title><p>This study examined how and in what ways employee psychological capital contributed to cognitive of change and change-supportive behavior. The results revealed that employee psychological capital was positively associated with their change-supportive behavior, and this relationship was partially mediated through employees’ cognitive of change.</p><sec id="s5_1"><title>5.1. Theoretical Implications</title><p>Adding to the existing research on psychological capital, our work extends psychological capital research into a new organizational setting―transformational organization, our findings extend earlier work that focused on the employee level of psychological capital to their cognitive of change and change-supportive behavior, and provide the theoretical support to change management for the enterprise.</p></sec><sec id="s5_2"><title>5.2. Practical Implications</title><p>Our results suggest several practical implications. First, our findings suggest that managers who wish to enhance the change-supportive behavior of their employees should pay attention to the development of employee psychological capital, the higher employees’ psychological capital, the more change-supportive behavior. Second, employees’ cognitive of change positively relates to their change-supportive behavior, organizations need to focus on how to better foster a good organization atmosphere so as to accelerate employees’ positive cognitive of change and more change-supportive behavior in the change.</p></sec><sec id="s5_3"><title>5.3. Study Limitations</title><p>Although this study has achieved some valuable conclusions, there are still some limitations. First, the shortage of sample. Due to time and resource limited, this study only had 172 samples, and these samples were not all in line with the requirements of transformational organization.</p><p>Second, in terms of research method. This study was not longitudinal study but transversal study. In general, employee psychological capital, cognitive of change, and change-supportive behavior are a kind of interaction and dynamic process, will change with time and environment. Therefore, the transverse research may reveal the relationship between these variables incompletely.</p><p>Finally, in terms of research variables. Although this study explored the relationship and mechanism among employee psychological capital, cognitive of change, and change-supportive behavior, lacked of the discussion of employee psychological capital and other important outcome variables.</p></sec><sec id="s5_4"><title>5.4. Suggestions for Future Research</title><p>We offer several suggestions for future research. First, whereas we considered only employee psychological capital and individual change-supportive behavior in this study, future research might investigate the influence of leader psychological capital on employees’ change-supportive behavior, or the influence of employee psychological capital on other work outcomes.</p><p>Second, future work should delve deeper into understanding how or why employee psychological capital influences change-supportive behavior. In this study, cognitive of change mediated the relationship between employee psychological capital and change-supportive behavior, future work should explore the moderating and mediating effects of other variables in the relationship of employee psychological capital and change-supportive behavior.</p><p>Finally, future work should conducted longitudinal study. Longitudinal study can reveal the changes of employee psychological capital and cognitive of change in different change periods, and investigate the relationship of employee psychological capital, cognitive of change, and change-supportive behavior more comprehensively and accurately.</p><p>In sum, it is important that researchers continue to investigate how positive psychological capital can be developed and applied to address challenges confronting managers and employees.</p></sec></sec></body><back><ref-list><title>References</title><ref id="scirp.55909-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Herscovitch, L. and Meyer, J.P. (2002) Commitment to Organizational Change: Extension of a Three-Component Model. 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