Lin Bin, Huang Junqin, Liao Youliang, Liu Shanmin, Zhou Haiyan
School of Business, Sun Yat-sen University, Guangzhou, China.
Big Data Auditing and Governance Lab, Guangdong Industry Polytechnic, Guangzhou, China.
Front Psychol. 2022 Oct 6;13:1026519. doi: 10.3389/fpsyg.2022.1026519. eCollection 2022.
Previous research on corporate governance has extensively explored the motives of corporate fraud. However, this research has paid little attention to employees, the real executors of fraud, resulting in the psychological and behavioral decision-making process of employees who commit fraud in enterprises becoming a "black box" that has not yet been opened. Based on the theory of planned behavior, our study integrates the existing research findings on driving factors of employee fraud and anti-fraud practical experience, extracts the key factors of employee fraud motive, and develops a multidimensional scale of employee fraud motive. The exploratory factor analysis (EFA) generates three subscales, comprising 14 items, measuring attitude, subjective norm and perceived behavioral control of employee fraud motive. The confirmatory factor analysis (CFA) supports the reliability, discriminant validity and convergent validity of the new scale. The multiple regression results show that the score of employee fraud motive is positively correlated with the amount of employee fraud occurrence, indicating that the predictive validity of the scale holds. Overall, the scale developed in our study displays good reliability and validity, and is worth spreading.
以往关于公司治理的研究广泛探讨了公司欺诈的动机。然而,这项研究很少关注员工,而员工是欺诈行为的实际执行者,这导致企业中实施欺诈行为的员工的心理和行为决策过程成为一个尚未打开的“黑匣子”。基于计划行为理论,我们的研究整合了现有关于员工欺诈驱动因素的研究结果和反欺诈实践经验,提取了员工欺诈动机的关键因素,并开发了一个多维的员工欺诈动机量表。探索性因素分析(EFA)产生了三个分量表,包括14个项目,用于测量员工欺诈动机的态度、主观规范和感知行为控制。验证性因素分析(CFA)支持了新量表的可靠性、区分效度和聚合效度。多元回归结果表明,员工欺诈动机得分与员工欺诈发生量呈正相关,表明该量表具有预测效度。总体而言,我们研究中开发的量表显示出良好的信效度,值得推广。