People with disabilities represent a large, underutilized labor force, and while disability employment is increasingly recognized as a strategic human resource opportunity, reports on its value are fragmented. Existing research often emphasizes benefits for firms or employees with disabilities, overlooking other stakeholders and potential accompanying costs. This systematic review synthesizes 45 empirical studies published between 2000 and 2025, examining both benefits and costs across multiple stakeholders, value dimensions, and organizational positions. Findings reveal that most reported values were gain-related and firm-centered. Meanwhile, patterns of intra-stakeholder clustering and inter-stakeholder linkages highlighted the complex dynamics of shared outcomes. Four benefit-cost dynamics were identified, alongside evidence of occupational segregation in low-value job roles. By applying a multi-stakeholder framework, this review advances the human resource management literature, showing how disability employment can be leveraged strategically to create interconnected values, foster inclusion, and support sustainable workforce practices.
Despite growing interest in generative artificial intelligence for creative work, the mechanisms driving individuals' psychological readiness and intention to adopt these tools remain understudied. This paper examines how self-leadership - a proactive process of self-influence - enhances generative artificial intelligence acceptance, individual confidence, and creative process engagement. Using a sample of 258 full-time employees, we tested a serial mediation model linking self-leadership to creative process engagement via artificial intelligence acceptance and creative self-efficacy. The results reveal a significant positive direct relationship between self-leadership and creative process engagement, alongside a significant indirect effect through both mediators. This study contributes to the literature by uncovering the psychological mechanisms and strategies necessary to foster technological readiness and intention within creative contexts.
Generative artificial intelligence is rapidly reshaping business education, presenting both opportunities and concerns for teaching, learning, and assessment. This study reviews how generative artificial intelligence has been addressed in business education research since 2023, with a focus on organisational and institutional implications. Using a scoping review guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol, 32 peer-reviewed Scopus-indexed articles published between January 2023 and June 2025 were analysed. Four key themes emerge in the use of generative artificial intelligence: curriculum redesign, teaching practices, assessment integrity, and professional skills. Findings highlight benefits such as enhanced interactivity, personalised learning, reduced workload, greater accessibility, and stronger alignment with industry practices. However, challenges persist, including factual inaccuracies, reduced critical thinking, weakened assessment practices, and ethical concerns. Overall, generative artificial intelligence integration is both transformative and uneven, requiring careful and responsible adoption from an organisational context. The study outlines implications for educators, curriculum designers, and institutional policymakers aiming to develop a future-ready business education ecosystem.
Organizational actors face multiple paradoxical tensions that are not only intertwined with one another but also nested across different levels of the organizational hierarchy. Despite their importance, little is known about how such paradoxical tensions are interpreted and managed by organizational leaders. To explore this phenomenon, we conducted semi-structured interviews and collected multilevel data from 38 respondents, including corporate executives, team leaders, and managers in the Pakistani telecommunications sector. Through an interpretive phenomenological analysis of participants' lived experiences, we developed a multilevel nested paradox model. This model revealed four paradoxes nested both within and across levels: task efficiency and employee well-being, individual interest versus institutional interest, ethics and profitability, and empowerment and accountability. The tensions arising from customer demands, followers' expectations, and organizational requirements lie at the intersection of the levels occupied by followers, team leaders, and corporate executives. Our model shows that tensions at one level exacerbate tensions at other levels, and through this transmission process, paradoxes generate a constellation of paradoxes. The study's model suggests that leaders manage these nested tensions by applying a combination of splitting and integration strategies, dynamically sequencing and distributing responses across levels. This study contributes to the underexplored research on paradox multiplicity and deepens the understanding of paradoxes as a meta-theory. We also highlight several important theoretical and practical implications of this research.
This article aims to provide an overview of family firms and entrepreneurial ecosystems regarding their current trends and future research directions. A systematic literature review was carried out on 37 peer-reviewed journal articles and book chapters extracted from the Scopus and Web of Science Core Collection databases up to December 2025. By carrying out a coding procedure and thematic approach, we blend the input-process-outcome model with three levels of analysis (i.e., individual, family, and firm). Findings reveal that family firms shape and are conditioned by entrepreneurial ecosystems. At the same time, resource deployment and embeddedness foster knowledge transfer and regional resilience, thus corroborating the co-evolutionary relationship between family firms and entrepreneurial ecosystems. The contribution of this work is threefold: (i) an integrated theory-driven conceptual model; (ii) an inductive thematic map grounded in coded outcomes; and (iii) a future research agenda steering scholars towards novel research directions.
