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The purpose of this paper is to explore the restrictive effect of abusive supervision on employees’ feedback-seeking behavior (FSB) through organizational-based self-esteem (OBSE) and the moderation of this mediation by leader-member exchange (LMX).

This study conducted hierarchical regression and path analysis to analyze the 312 manager–employee dyads data gathered from five companies in China.

The authors found that abusive supervision had a detrimental effect on employee FSB, partially through OBSE, and that both the direct and indirect effects were moderated by LMX.

Organizations should seek to inhibit supervisors’ abusive behavior in the workplace. Supervisors should not occasionally mistreat subordinates with whom they have a good relationship.

This study reveals the underlying influence mechanism of abusive supervision on employee FSB using the self-concept theory and suggests that OBSE is critical in determining how abusive supervision influences employee FSB. Furthermore, LMX quality (especially high LMX) moderates the above mediation.

The purpose of this paper is to explore the relationship between positive and negative emotional contagion by supervisors and innovative behavior by employees in the marketing department at China Mobile, as well as investigating the mediating roles of work engagement and surface acting in this path.

The authors analyzed emotional contagion on innovative behavior and investigated the mediation effect of work engagement and surface acting, and used structural equation modeling to test the hypotheses. Subjects in this study comprised 263 dyads of supervisors and employees (131 supervisors and 263 employees) in the marketing department at China Mobile.

The results indicated that positive emotions by employees mediated the positive effect of supervisors’ expression of positive emotions about employees’ work engagement; work engagement mediated the positive effect of employees’ positive emotions on their innovative behavior; and employees’ negative emotions mediated and did not significantly mediate the effect of supervisors’ negative emotions on employees’ surface acting and innovative behavior, respectively.

This study recommends that future studies examine emotional labor by team members and investigate the types of mechanisms (such as psychological safety and team learning) adopted by such teams to increase their members’ levels of emotional contagion.

The authors recommend that enterprises implement courses that are relevant to emotional management for supervisors to enhance their ability to regulate and manage their own emotions. The authors also suggest that organizations offer adequate job resources to employees to inspire work engagement among employees.

This study explored the role of work engagement among employees, which serves as a motivational mechanism between positive emotional labor by supervisors and innovative behavior by employees. In addition, it investigated the role of surface acting by employees, which serves as an energetic mechanism between negative emotional labor by supervisors and innovative behavior by employees.

The purpose of this paper was to explore the voicer's own psychological or behavioral reactions to voice. A framework was proposed to predict how and when employee voice is related to innovative behavior in the workplace based on conservation of resources theory.

Data was collected from a three-wave survey including 232 employees and their supervisors. Hierarchical multiple regression and PROCESS, a SPSS macro, were used to test the hypotheses.

Employee voice was positively associated with innovative behavior. Perceived organizational status mediated the link between voice and innovative behavior. Meanwhile, performance-goal orientation strengthened the positive voice–perceived organizational status and voice–innovative behavior associations.

This paper extended the authors’ understanding of the outcomes of voice by elucidating that voice could motivate the psychological or behavioral reactions of not only team members but also the voicer himself/herself. In addition, it highlighted the value of performance-goal orientation in strengthening the potentially positive relationship between voice and perceived organizational status. In doing so, the authors identified the unexplored individual-level psychological and behavioral reactions of the voicer himself/herself after speaking up. The present study also provided practical implications by shedding light on measures to promote innovative behavior in the workplace.

Although MOOCs have become a pervasive online learning model, the problem of high dropout rates still persists. Gathering the reasons for the high dropout rate can help to improve the platform design and management of the MOOCs.

A total of 74 studies was extracted from the Web of Science and Scopus. Following the PRISMA (Preferred Reporting Items for systematic Reviews and Meta-Analyses) guidelines, the open-source program CiteSpace is employed to review and induce the studies on the antecedents of MOOC dropout.

The antecedents of the MOOC dropout rate are the psychological, social, personal, course-related, and time factors, and the unexpected hidden cost. Motivation and interaction, which have a decisive impact on the dropout rate of MOOCs, interact with each other. Interaction helps to strengthen the motivation, and appropriate course design enhances the degree of interaction.

From the perspective of a learner, the more knowledge and skills the learners acquire, the more likely they will complete the course. Possessing adequate foundational knowledge is one way to arrest the dropout rate. On the part of the MOOC platform, better course design eases the dropout rate. Further, the course duration and hidden cost in MOOCs contribute to the dropout rate.

Previous studies overemphasize the negative effects of social media usage (SMU) within organizations and underestimate its positive influences on employees' behavior. This study attempts to link employees' social media use at work to their creativity performance.

Based on the bounded generalized reciprocity theory and unbounded indirect reciprocity (UIR) theory, the authors developed a research model. To test the model, the authors collected a set of 172 paired data of organizations and employees from 31 knowledge-intensive enterprises in China to test the hypothesis.

This research found that the social, cognitive and hedonic uses of social media all directly affect employee creativity. Relational energy fully mediates the effects of the cognitive and hedonic usages on creativity. Moreover, job autonomy moderates the effects of the relationships among the social, cognitive and hedonic uses on employee creativity.

The conclusions not only enriched authors’ understanding of the effectiveness of interpersonal interaction but also extended the research boundary of the relationship between SMU and employee creativity.

Information distortion affects the perception of quality, which, in turn, influences investment decisions and determines the pledge results of fundraising. This study combines signalling theory with persuasion theory to empirically study the effects of linguistic information distortion from fraudulent cues on a crowdfunding campaign's fundraising outcomes using text analytics, with implications for entrepreneurs, platforms and investors.

This study empirically analyzes 328,974 crowdfunding projects from the Kickstarter platform. Information distortion is detected using four indicators, based on text mining analytics. An econometric model is built to estimate the impact of information distortion, while the predictive power of the information distortion is detected through machine learning.

The results inform that distortion in the blurb, detailed description and reward statement dampen a campaign's success, but embellishing the entrepreneur's biography enhances the success of financing. Furthermore, information distortion exhibits a significant inverted U-shaped influence. The effect of the interaction terms suggests that campaigns with high pledge goals are more sensitive to information distortion, and that native-speaking entrepreneurs are adept at applying linguistic skills to promote the campaign.

This study provides a linguistic method to detect the influence of information distortion on crowdfunding campaigns. Further, the study offers some practical suggestions for entrepreneurs on how to generate attractive narratives, and contributes to the investor's decision-making and informs the platform's promotion strategy.

This study aims to systematically map the state of work on human–machine collaboration in organizations using bibliometric analysis.

The authors used a systematic literature review to survey 111 articles on human–machine collaboration published in leading journals to categorize the theories used and to construct a framework of human–machine collaboration in organizations. A bibliometric analysis is applied to statistically evaluate the published materials and measure the influence of the publications using co-citation, coupling and keyword analyses.

The results inform that the research on human–machine collaboration in the organizational field is targeted at four aspects: performance, innovation, human resource management and information technology (IT).

This work is the first exploratory piece to assess the extent and depth of research on human–machine collaboration.

This study aims to reach academic consensus on key factors and boundaries used in defining the concepts of “social entrepreneurship” (SEsh), “social entrepreneur” (SE), and “social enterprise” (SEV). This study also explores the complex relationships among social/business enterprises, definitional categories and factors, missions, and impacts on effectiveness of practices and organizing for venture success.

Content analysis is conducted on articles published from 1998 to 2016 in peer-reviewed academic journals in the fields of management and organization. Furthermore, 80 articles are obtained and analyzed in terms of factors and frequently used terms for unified definitions and their intertwined linkages.

The unifying factors for the definitions of SEsh, SE, and SEV include primary mission and processes and resources. Strong linkages are observed between SEsh and actors, SE and characteristics, and SEV and organizational form. Results indicate that definitional categories and factors share numerous joint terms that can be used to propose unified definitions. This study identifies the effective interactions of variables among social mission, capabilities to manage resources and processes, entrepreneurial characteristics of actors, and forms of ventures in a process that provides potential for organizational sustainability and impact maximization.

This paper contributes to research by identifying clear and agreed-upon factors and traits as boundaries to propose definitions that can advance the legitimacy of social entrepreneurship as an academic field worthy of future exploration.

The findings emphasize social mission that achieves public benefits while preventing mission drift. Economic value and choice of organizational form can advance the fulfillment of objectives and governance practices. This study also presents the key influencing factors at various stages of an entrepreneurial process to determine how these concepts interact to increase the likelihood of organizational emergence and survival.

This work is the first to systematically review management and organizational literature on the key factors and terms that constitute the distinct definitions of SEsh, SE, and SEV and help clarify their complex relations in an entrepreneurial process.