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Despite the considerable increase in research on entrepreneurship education, few studies examine the role of entrepreneurship educators. Similarly, most frameworks from entrepreneurship education recognize the educator’s importance in facilitating instruction and assessment, but the factors influencing the educator role are not well understood. According to the identity theory, personal factors including self-efficacy, job satisfaction and personal values influence the perspective of self, significance and anticipations that an individual in this role associates with it, determining their planning and actions. The stronger the role identity the more likely entrepreneurship educators will be in effectively developing their entrepreneurial skills as well as the overall learning experience of their students. The objective of this study is to pinpoint the factors that affect entrepreneurial role identity.

Drawing upon the identity theory, this study developed a theoretical framework and carried out an empirical investigation involving a survey of 289 entrepreneurship educators across the globe. Structural equation modeling (SEM) technique was applied to analyze and explore the factors that impact the identity of the educators in their role as entrepreneurship teachers.

The findings show that the role identity of entrepreneurship educators is significantly influenced by their self-efficacy, job satisfaction and personal values. Among these factors, self-efficacy and job satisfaction have the most significant impacts on how educators perceive their role. The implications of these results and directions for future research are also discussed.

The novelty of the current study is derived from its conceptualization of the antecedents of role perception among entrepreneurship educators. This study stands out as one of the earliest attempts to investigate the factors that shape an individual’s scene of self and professional identity as an entrepreneurship educator. The significance of comprehending the antecedents of role perception lies in the insights it can offer into how educators undertake and execute their role, and consequently, their effectiveness in teaching entrepreneurship.

This study examined escape rooms as a teaching strategy for developing four leadership competencies associated with communication. The results indicate that escape rooms are an effective teaching strategy for communication competency development in leadership education. One hundred and five participants engaged in an escape room experience followed by a discussion focused on the competencies. The findings indicated a significant positive change from pre-test to post-test in all four student leadership competencies measured, including verbal communication, listening, advocating for a point of view, and conflict negotiation. Leadership educators should consider escape rooms as a pedagogical tool for competency development and may wish to explore alternative serious games to align with their learning objectives.

Only a few concepts in the service literature are as pervasive yet as undertheorized as is the concept of the actor. With a growing interest toward value creation as a systemic and institutionally guided phenomenon, there is a particular need for a more robust conceptualization of humans as actors that adopts a processual, as opposed to a static, view. The purpose of this paper is to build such processual conceptualization to advance service-dominant (S-D) logic, in particular, and service research, in general.

The paper is conceptual and extends S-D logic's institutionally constituted account of the actor by drawing from identity theory and social constructionism.

The paper develops a processual conceptualization of the human actor that explicates four social processes explaining the dynamics between two identity concepts—social and personal identity—and institutional arrangements. The resulting framework reveals how humans are simultaneously constituted by institutions and able to perform their roles in varying, even institution-changing, ways.

By introducing new insights from identity theory and social constructionism, this paper reconciles the dualism in S-D logic's current description of actors, as well as posits the understanding of identity dynamics and the processual nature of actors as central in many service-related phenomena.

This paper is among the few that explicitly theorize about the nature of human actors in S-D logic and the service literature.

Firms have already begun integrating artificial intelligence (AI) as a replacement for conventional performance management systems owing to its technological superiority. This transition has sparked a growing interest in determining how employees perceive and respond to performance feedback provided by AI as opposed to human supervisors.

A 2 x 2 between-subject experimental design was employed that was manipulated into four experimental conditions: AI algorithms, AI data, highly experienced human supervisors and low-experience human supervisor conditions. A one-way ANOVA and Welch t-test were used to analyze data.

Our findings revealed that with a predefined fixed formula employed for performance feedback, employees exhibited higher levels of trust in AI algorithms, had greater performance expectations and showed stronger intentions to seek performance feedback from AI algorithms than highly experienced human supervisors. Conversely, when performance feedback was provided by human supervisors, even those with less experience, in a discretionary manner, employees' perceptions were higher compared to similar feedback provided by AI data. Moreover, additional analysis findings indicated that combined AI-human performance feedback led to higher levels of employees' perceptions compared to performance feedback solely by AI or humans.

The findings of our study advocate the incorporation of AI in performance management systems and the implementation of AI-human combined feedback approaches as a potential strategy to alleviate the negative perception of employees, thereby increasing firms' return on AI investment.

Our study represents one of the initial endeavors exploring the integration of AI in performance management systems and AI-human collaboration in providing performance feedback to employees.