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Employee entrepreneurship has recently become an emerging area of investigation. However, due to the fragmentation of the turnover and entrepreneurship literature, no coherent theoretical framework has been developed to provide an adequate description of the employee entrepreneurial process. The purpose of this paper is to gain a deeper understanding of why and how an employee in an established organization progresses toward starting a new venture by exploring the key decision-making processes during the initial stages of employee entrepreneurship.

This study addresses the following research questions: What are the key decision-making processes during the initial stages of employee entrepreneurship? How are these decisions made, and how do they interact? This study employed a multiple case study approach, which enabled the authors to gain valuable insight into these “what” and “how” questions. The data consist of 28 in-depth employee entrepreneurship cases.

Based on an in-depth study of 28 cases, this study constructs a comprehensive model of the dynamic and interactive decision-making processes that lead to employee entrepreneurship. In particular, the findings reveal that rather than being a linear staged activity, employee entrepreneurship is an inherently iterative process that involves a set of interrelated subdecision-making processes related to turnover, team entrepreneurship and partner recruitment that entail multiple iterations and feedback loops based on an individual's cognitive judgment.

By illustrating and clarifying the importance of the effects of different initial motivations and the attributes of the network in the course of the employee entrepreneurship decision-making process, this study integrates the turnover and entrepreneurship literature and makes significant contributions to the current literature on employee entrepreneurship. Moreover, this study complements research investigating entrepreneurial team formation by providing a detailed understanding of how the lead entrepreneur and the prospective partner make mutual choices during the entrepreneurial team formation process.

Because unethical behaviour pervades in organisations, how to inhibit the interpersonal influence of unethical behaviour has become increasingly important. This study aims to integrate the deontic justice theory and affective events theory to examine the relationship between an individual’s unethical behaviour and his or her peers’ vicarious learning by highlighting the mediating effect of peers’ moral anger and the moderating effect of task interdependence on this relationship.

Data were collected in two waves from 254 employees of a large manufacturing company in the People’s Republic of China.

The hypothesised moderated mediation model was supported. Specifically, as expected, peers’ moral anger mediated the negative relationship between an individual’s unethical behaviour and peers’ vicarious learning. Task interdependence moderated the direct relationship between the individual’s unethical behaviour and his or her peers’ moral anger and the indirect relationship between an individual’s unethical behaviour and his or her peers’ vicarious learning via the peers’ moral anger such that these relationships were stronger when the level of task interdependence was higher.

This study argues that the deontic justice theory is a supplement for the social learning theory in explaining the interpersonal influence of unethical behaviour. Drawing on the deontic justice theory, this study demonstrates that an individual’s unethical behaviours are unlikely to be rewarded or accepted, and by integrating the theories of deontic justice and affective events, offers a rationale for the emotional mechanism that underlies the interpersonal influence of unethical behaviour.

In today’s complex and challenging work environment, employees’ learning from errors has become critical to organizations’ survival and success. While the literature has highlighted the importance of inclusive leadership for learning behavior in organizations, research on how inclusive leadership promotes employees’ learning from errors has been limited. Therefore, the purpose of this paper is to fill this gap by developing and testing a moderated mediation model that emphasizes the key roles of positive mood and gender in the relationship between inclusive leadership and employees’ learning from errors.

A multi-time survey method was used in this study to collect data from 202 full-time employees working in China.

The hypothesized moderated mediation model in this study was supported. Inclusive leadership facilitated employees’ learning from errors through employees’ positive mood, and employees’ gender moderated both the direct relationship between inclusive leadership and employees’ positive mood and the indirect relationship between inclusive leadership and employees’ learning from errors through employees’ positive mood: the relationships were stronger for female employees than for male employees.

By incorporating the social role theory into the affective events theory framework, this study may help to open the “black box” of the relationship between inclusive leadership and employees’ learning from errors by explicating the importance of positive mood and gender, thereby shedding light on the timely issues of inclusive leadership, mood, and learning from errors in the workplace.