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Examining dominance in influencing leadership perceptions for men and women has received significant scholarly attention. The studies typically show that dominance is beneficial for men in attaining leadership positions but not for women. However, the studies were predominantly conducted more than two decades ago. Given the developments in gender research, this study extends the dominance line of inquiry by probing the impact of dominance need on leader emergence for men versus women in self-managed work teams. Furthermore, this study aims to examine if team dominance needs dispersion posits as a boundary condition for the combined impact of dominance needs and gender on leader emergence.

The authors conducted a longitudinal study that lasted one semester and involved 44 ad hoc self-managed work teams.

This study found that dominance needs facilitated leader emergence regardless of gender, and team dominance needs dispersion. Furthermore, men with high dominance needs were likelier to emerge as leaders than women with high dominance needs in high dominance needs dispersion teams. By contrast, women low in dominance needs received a harsher penalty in their leadership emergence than men low in dominance needs in low dominance needs dispersion teams

These results depart from the usual findings regarding the backlash effects that dominant women face and paint a rosy picture regarding the use of dominance in shaping leader emergence. However, the findings support the notion in gender stereotypes research that women are judged more critically than men in ascending to leadership positions.

The healthcare sector faces leadership challenges, emphasizing the importance of a mechanism to support and empower team members. The present study aims to investigate the impact of team empowerment (TE) on team performance (TP), with the mediating role of shared leadership (SL) and the moderating role of relationship conflict between shared leadership and team performance.

This study's conceptual model was proposed using the social exchange theory and conservation of resource theory. Data was collected using a self-administrated questionnaire to 492 respondents, of which 42 were team leaders, and 450 were team members from 42 teams in the Pakistani healthcare sector. The Partial Least Square-Structural Equation Modeling (PLS-SEM) technique was used to examine the proposed hypotheses of the study.

The results revealed a significant positive relationship between team empowerment and shared leadership. SL is positively associated with team performance. The present study also found that SL positively mediated the relationship between shared leadership and team performance. Moreover, relationship conflict moderated the relationship between SL and TP.

The finding delineates that healthcare organizations can adopt shared leadership and empower team members by involving them in decision-making, enhancing collaboration, resource utilization, and patient care outcomes. Managers should implement structured strategies like cross-functional training and inclusive decision-making processes to cultivate empowered teams and mitigate relationship conflicts for optimal performance.

The study advocates developing shared leadership practices for better team outcomes. This study is an early attempt to examine the mediating role of shared leadership between team empowerment and team performance.

This study aims to assess the impact of academic audit, a quality assurance tool in higher educational institutions. It explores the relationship between the effective use of academic audits and the institutions’ quality performance, as indicated by their accreditation score.

Using a questionnaire, the authors checked whether colleges across India effectively used academic audits and the key challenges in conducting the audit. A sample of 428 was drawn from a population of 6,201 colleges. The challenges in conducting academic audits, mostly operational, were grounded in literature and measured using a five-point Likert scale. Regression analysis and a t-test were used to test the two hypotheses.

The effective use of academic audits significantly influences the quality of the colleges measured by the accreditation score. Findings show that ineffective implementation of academic audits leads to mediocre accreditation performance. Simultaneously, the colleges face several challenges in implementing academic audits.

This novel attempt examines the relationship between academic audit and accreditation performance. Through this unique study, the authors make a case for using academic audits by higher educational institutions adopting accreditation as a quality strategy. The research unfolds the significant value that academic audit holds for facilitating accreditation.

This research aims to demonstrate the extension of actor engagement to include human–environmental engagement within broader socioecological systems.

This work takes the perspective of Neo-animist Ontology which posits that since non-human biotic entities act as ecological and cultural resource integrators they should be considered as actors. In addition, the present article uses the concept of Nature’s Contributions to People, here renamed Nature’s Contributions to Humans (NCHs) to demonstrate the complex cognitive, emotional and behavioral dimensions of human–environmental interaction. The work also draws on existing concepts of actor engagement within multilevel socioecological systems.

This study offers a conceptual framework within which to understand how the complex interactions between humans and natural entities produce human–environmental engagement. It also provides evidence for three forms of human–environmental engagement, that is, purposeful involvement between humans and nature (natural ecosystems and non-human bioactors) with cognitive, emotional and behavioral dimensions. These engagement types have been termed: Nature–human regulating engagement; Nature–human material and cultural engagement; and Mindful engagement with nature. As this work shows, they arise due to human–environmental interactions involving the three forms of NCHs (regulating, material and non-material) and sustainable practices through which the environment and humans exert mutual influence upon one another. Additionally, this work identifies key focal actors and the novel, creative practices they implement to re-shape inter-industrial service ecosystems so demonstrating many-to-many A2A interactions within a socioecological system.

Future areas of research include in-depth investigation of the psychological (emotional-sensorial) processes of human engagement with nature and examination of the perspectives of non-human bioactors in human-initiated engagement with nature.

This study takes our understanding of engagement beyond its current focus on human-centric service ecosystems to include human–environmental engagement in socioecological systems. This involves the novel extension of the concept of an actor to include non-human biological agents involved in the provision of NCHs and enables an examination of how these so-called bioactors interact—directly or indirectly—with human actors. A further innovation here is the simultaneous zooming in and zooming out on actor engagement to gain a truly multilevel perspective.

Entrepreneurial experimentation is often studied in the context of tech, retail and high-growth startups. Current interpretations lean on limited empirical data and suggest structured and deliberate approaches. Our empirical observations in the food and beverage industry expand these perspectives by revealing emergent and impulsive experimentation practices.

A qualitative multiple case study of 20 small food and beverage ventures examined experimentation within non-tech and “everyday” contexts. Applying an abductive research design, the authors investigate experimentation practices through the conceptual lenses of transformation, social learning model, play, improvisation and entrepreneurial hustle.

The study reveals three forms of experimentation in the food and beverage sector: informative decision-making, transformative learning and improvisational exploring. These forms vary in their deliberateness and differ from those seen in the context of tech, retail and high-growth start-ups. In the food and beverage sector, not all uncertainties and opportunities can be rationally validated, but they require transformational social interactions with stakeholders, and swiftly changing situations need to be addressed in ways other than rationally pre-planned experiments.

This study contributes to the entrepreneurship literature by extending the dominant rational view of experimentation. By refining deliberateness in entrepreneurial actions and synthesizing and categorizing experimentation in three forms, this study constructs a more nuanced picture of what entrepreneurial experimentation consists of in the work of “everyday” ventures.

Through the theoretical lens of social practice theory, the aim of this research is to investigate how business-to-business (B2B) high-tech startups build their brands in an omni-digital environment, particularly by focusing on the most important digital touchpoints implemented to interact with stakeholders.

A qualitative analysis was performed by conducting 36 semi-structured interviews with key informants operating in B2B high-tech startups, including founders, CEOs, managing directors, marketing managers and other actors from this sector.

The results reveal the enablers, inhibitors and specific objectives of startups in their brand-building processes across digital touchpoints in an omni-digital environment.

This study offers new theoretical insights into new ventures’ brand management strategies through the development of a theoretical framework in which the enablers, inhibitors and specific objectives of the brand-building process of startups are identified. Although the recent literature has addressed the topic of startup brand building, this is the first study, to the authors’ knowledge, focused on the brand-building process of B2B high-tech startups in an omni-digital environment.

The purpose of this perspective paper is to theorize a more comprehensive view of retail stockout costs and explore the potential operationalization of this perspective for improved supply chain decisions and resulting performance.

The retail stockout literature is reviewed to summarize the current types of out-of-stock costs. Theoretical foundations of Service Dominant Logic are suggested as a more holistic, accurate and useful view for stockout cost conceptualization. Market Basket Analysis and Real Options Analysis are identified as tools to help operationalize a revised value-in-use approach to stockout costs.

This research enhances our understanding of stockout costs and corresponding managerial actions with meaningful implications for retail supply chain performance.

This research deviates from traditional inventory theory to provide a unique perspective on stockout costs that is conceptualized within the literature and operationalized with the novel combination of cross-functional analytical tools.

This paper examines the relationship between the degree of information asymmetry among investors and the occurrence of bubbles in cryptocurrency markets.

The study applies the Philipps, Shi and Yu (PSY) methodology to identify bubbles in 74 cryptocurrencies from July 2014 to April 2021.

The findings indicate that there is a negative relationship between the degree of information asymmetry among investors and the number and duration of bubbles across cryptocurrencies.

This finding supports the riding-bubble argument of Asako et al. (2020), which suggests that when the information asymmetry among investors is high, rational investors are less certain about what irrational, inexperienced investors might decide. This strategic uncertainty leads rational investors to close out their positions more quickly, resulting in a shorter duration of the bubble and a reduced propensity for new bubbles to emerge. The study’s findings hold regardless of the proxies used to measure information asymmetry and noise trading, cryptocurrency characteristics and regression model specifications.