中文摘要：

通过332组在职MBA学员样本数据分析验证了包容性领导对下属揭发意愿的影响机制，结果表明：（1）包容性领导显著正向影响下属的揭发意愿；（2）组织支持感在包容性领导与揭发意愿之间起完全中介作用；（3）上司组织代表性调节包容性领导与下属组织支持感之间的关系，上司的组织代表性越高，二者间的正向关系越强；（4）上司组织代表性调节组织支持感对包容性领导与下属揭发意愿之间关系的中介作用。

英文摘要：

In today＇s economic society, moral anomie in organizations occurs frequently, causing substantial negative consequences to the organizations and their members. It provides motivation for organizations to rely on dismissed employees to detect problem and blow the whistle on it. However, although whistle-blowing has been recognized as an important tool to timely correct unethical behaviors, many employees are not willing to engage in this inhibitory and challenging behavior, because it may result in great personal risk of retaliations. Although researchers have explored the factors influencing employees＇ whistle-blowing, little research has linked whistle-blowing to leadership. In this study, we tried to examine the effect of inclusive leadership on an employee＇s whistle-blowing intention and to investigate the mediating role of perceived organizational support as well as the moderating role of supervisor＇s organizational embodiment playing in the linkages between inclusive leadership and employee whistle-blowing intention in the context of Chinese organizations. Data was collected from 332 on-the-job MBA students in Soochow University in two months. In the first-wave survey （Time 1）, 400 on-thejob MBA students were asked to assess inclusive leadership, perceived organizational support and supervisor＇s organizational embodiment. A total of 373 students returned the survey. In the second-wave survey （Time 2）, 380 students were investigated on their whistle-blowing intentions. A total of 351 students returned the survey. After matching the two-time survey, 332 matched data was available to test the hypotheses, yielding an effective response rate of 83%. Cronbach＇s alpha coefficients of all measurements showed acceptable measurement reliabilities. Results of CFA suggested the measurement＇s discriminant validity was satisfactory. Correlation analysis, hierarchical regression modeling and bootstrapping analysis were used to test the hypotheses proposed. In line with our hypotheses, regression r