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This study provides detailed insights into how electricity rationing affects shopping and media consumption in an emerging market context. Given that electricity rationing (also known as load-shedding) is a regular occurrence in many countries, this research brings a unique consumer perspective.

The study employed a qualitative exploratory design to investigate the effect of electricity rationing on shopping and media consumption. A combined convenience and snowball sampling technique was utilised to select 78 households across various locations in South Africa. Through in-depth interviews and thematic analysis, themes were extracted and explained.

The findings showed that, for higher-income households, media consumption remained relatively consistent or increased during load-shedding periods. Middle-income families showed a mixed pattern of media use in response to load-shedding. Lower-income households were found to bear the brunt of media-consumption constraints caused by electricity shortages. Consumers are increasingly switching to streaming alternatives to adapt to the limitations of load-shedding. The availability of streaming platforms on mobile devices and laptops and limited household battery backups allows viewers to sidestep disruptions caused by outages.

While electricity outages are the norm in many countries, the impact on shopping and media consumption is significant. To date, no other research has comprehensively explored the impact of these outages on consumer behaviour in emerging markets.

Compared to the occurrence of conflict in general teams in organizations, conflict occurrence in entrepreneurial teams is more prevalent and intense. However, previous studies have found inconsistent relationships between entrepreneurial team conflict and performance, and the mechanisms underlying this relationship remain in the “black box.” Drawing on the motivated information processing in groups theory, this study aims to investigate how and when entrepreneurial team conflict influences entrepreneurial performance.

The authors collected survey data from 190 entrepreneurs across 58 entrepreneurial teams in China. The hypothesized relationships were examined through path analysis using the Mplus7.0 program.

Entrepreneurial team relationship conflict is negatively related to entrepreneurial performance mediated through team behavioral integration. Conversely, there exists a curvilinear (U-shaped) relationship between entrepreneurial team task conflict and entrepreneurial performance, also mediated through team behavioral integration. Furthermore, the curvilinear relationship between entrepreneurial team task conflict and team behavioral integration is strengthened by team contractual governance, whereas the relationship between entrepreneurial team relationship conflict and team behavioral integration is not moderated by team contractual governance.

This study contributes to a deeper understanding of the relationship between entrepreneurial team conflict and performance by identifying the mediating mechanism and boundary condition. The finding of a U-shaped relationship between entrepreneurial team task conflict and entrepreneurial performance underscores the uniqueness of the entrepreneurial team context, offering new empirical insights for future conflict research.

This chapter focuses on the intersections between culinary tourism and adventure tourism. Based on sociocultural and sensory perspectives, it discusses the drivers of food adventure trends on the global tourism market and presents a contemporary commercial concept targeting adventurous food tourists, the Disgusting Food Museum in Malmö, Sweden. The chapter concludes with addressing the controversial ethical aspects of commodifying ‘other’ food cultures as an adventure in international tourism.

This study investigated leaders’ decision-making during crises. Using grounded theory research, we explored whether leaders’ use of either individualistic or collectivistic decision-making styles is based on the context of a crisis. In addition, the authors looked into the components of building leaders’ efficacy during a crisis event and gauged their attitudinal and behavioral reactions to the crisis.

The authors conducted interviews with 30 C-suite executives during the first wave of the COVID-19 pandemic to determine their responses to crises. The authors then used open, axial, and selective coding to examine their data, which was then extracted for representative themes and overarching dimensions. In total, The authors received 12 major themes largely summarizing into 6 overarching dimensions – context of decision-making, leaders’ efficacy, individualistic approach to decision-making, collectivistic approach to decision-making, process of decision-making, and outcomes.

The research presents a decision-making framework clearly bifurcating situations with the need for individualistic and collectivistic decision-making. While, a high level of urgency and scarce resources encouraged leaders to adopt an individualistic approach in which most of the decisions were intuition-based and only high-level stakeholders were involved, the less time urgent and uncertain situation allowed leaders to put significant effort into building their own knowledge systems and involving others. In addition, leaders’ efficacy is understood in terms of their attitudes, readiness and reactions, which further elaborated upon their knowledge systems to allow them to excel in decision-making irrespective of the approaches they chose.

The research has implications for leaders in the decision-making roles to be effective during both individualistic and collectivistic decision-making.

For nearly 2 decades, the push-pull-mooring (PPM) model has been used frequently by scholars to explain consumers’ service switching intention and behavior. However, heterogeneity and incomparability between PPM model studies are prevalent issues: The chosen predictor variables, their categorization, their measurement, reported effect sizes, and effect directions vary considerably. By addressing these issues, the present meta-analytical review enables future researchers applying the PPM model to identify relevant variables and use valid measurements.

Based on 148 empirical studies employing the PPM model, the variables used to predict consumers’ service switching intention and behavior, their frequency of use, their categorization into push, pull, and mooring factors, and their measurement are assessed. The effect sizes and directions of the relationships between these variables and consumers’ service switching intention and behavior are analyzed using meta-analytic structural equation modeling. Additionally, the predictive capacity of this model and the influence of moderators are assessed.

Among the 148 empirical studies, 382 different independent variables were used. The three most frequently used and distinctly categorized independent variables are dissatisfaction (push), alternative attractiveness (pull), and switching costs (mooring). Overall, 152 unique sources were cited to measure these variables and the dependent variables. Dissatisfaction and alternative attractiveness increase switching intention, which positively affects switching behavior, while switching costs decrease switching intention. The model explains 30% of the variance in switching intention and 31% of the variance in switching behavior.

This study provides the first meta-analytical review of the PPM model to guide future research systematically.

This study aims to examine the intricate relationship between Chile’s coastal communities and the increasing effects of climate change, with a focus on Caleta Lenga as a case study. Chile’s extensive coastline is closely linked to the country’s economic well-being and the livelihoods of millions of people. The mounting threats posed by climate change require immediate action. To strengthen resilience and reduce risk, adaptive measures are imperative. However, effective adaptation is hindered by numerous barriers, including adaptive capacity and governance challenges.

This study uses a case study approach, which centres on Caleta Lenga’s unique socio-environmental and demographic context. This study used semi-structured interviews and historical reconstruction to reveal a socio-economic and environmental narrative that was influenced by significant events and transitions.

The residents’ perception of climate change impacts was viewed through the lens of industrial activities and changing weather patterns. This study emphasizes the community’s resilience in the face of changing socio-environmental dynamics. It highlights the importance of informed decision-making, community cooperation and the preservation of ancestral knowledge in promoting adaptive strategies based on community solidarity and collective decision-making. The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

The findings underscore the need for effective adaptation measures that address both adaptive capacity and governance challenges to bolster climate resilience in vulnerable coastal communities.

Our research seeks to understand how actors in the Australian cotton industry can address downstream labour and human rights risks in the textiles and apparel value chain.

Taking the Australian cotton industry as the site of our action research project, we conducted a qualitative thematic analysis of 19 interviews, supplemented by industry engagement and desktop research.

We identify seven opportunities for action by the Australian cotton industry to address downstream labour and human rights risks, which are articulated in the context of a strategic enforcement approach.

The research focuses on opportunities for action to address downstream labour and human rights risks, thereby going beyond the traditional interventions by fashion brands and retailers that target upstream actors.

This study uses bibliometric visualization techniques to comprehensively review the intertwined concepts of dark tourism, thana tourism and ghost tourism from 2000 to 2023. The research seeks to clarify the ambiguity and inconsistencies arising from the interchangeable use of these terms and sets forth a roadmap for future research endeavors.

This study meticulously extracts research keywords from 634 scholarly papers in the Scopus database. It undertakes a thorough bibliometric analysis utilizing the visualization of similarities (VOS) viewer and RStudio to map the interconnectedness of these tourism phenomena.

The study identifies and explores contemporary theories such as self-categorization theory, stimulus-organism-response theory, embodiment theory, self-determination theory, socio-cognitive theory, risk perception theory, services theory, dark tourism theory, social and cultural theory, push-pull theory, performance theory, and wound culture theory. The research reveals four primary clusters through keyword co-occurrence and bibliographic coupling analyses: dark tourism insights, dynamics of dark tourism, dark tourism review and dark tourism experiences, illustrating their interrelationships and robustness.

Dark tourism insights can guide ethical practices, ensuring respectful site management and accurate historical representation. Integrating dark tourism into broader destination strategies can diversify offerings, attract niche markets and contribute to preserving historical memory through reflective experiences.

This study's outcomes significantly contribute to tourism literature by enhancing our understanding of the overlapping terminologies associated with dark, thana and ghost tourism. This improved comprehension sheds light on the importance of the research agenda surrounding the concept of dark, thana and ghost tourism.

This study, a theoretical article, aims to introduce new institutionalism as a framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. Although the new institutional theory is a fully established research program, the neo-institutional literature on AI is almost non-existent. There is, therefore, a need to develop a deeper understanding of AI as both the product of institutional forces and as an institutional force in its own right.

The authors follow the top-down approach. Accordingly, the authors first briefly describe the new institutionalism, trace its historical development and introduce its fundamental concepts: institutional legitimacy, environment and isomorphism. Then, the authors use those as the basis for the queries to perform a scoping review on the institutional role of AI in organizations.

The findings reveal that a comprehensive theory on AI is largely absent from business and management literature. The new institutionalism is only one of many possible theoretical perspectives (both contextually novel and insightful) from which researchers can study AI in organizational settings.

The authors use the insights from new institutionalism to illustrate how a particular social theory can fit into the larger theoretical framework for AI in organizations. The authors also formulate four broad research questions to guide researchers interested in studying the institutional significance of AI. Finally, the authors include a section providing concrete examples of how to study AI-related institutional dynamics in business and management.