Anchored in Dynamic Capabilities Theory, this study examines the effect of Artificial Intelligence (AI) capabilities on the competitive performance of family firms and the moderating role of generational involvement. Using survey data from 120 Tunisian family firms adopting AI between 2021 and 2024 and applying confirmatory factor analysis and structural equation modeling, the findings show that AI capabilities significantly enhance firm performance, while generational involvement has no moderating effect. This challenges the assumption that intergenerational transitions inherently drive innovation and provides novel evidence from Tunisia that performance gains stem primarily from the strategic integration of AI rather than generational dynamics. The results offer actionable insights for policymakers and managers seeking to promote effective AI adoption in family firms and have broader relevance for similar contexts worldwide.

This paper examines the dual impact of financial leverage on corporate performance by analyzing empirical data across developed and developing nations, industries, and different periods. Leverage can enhance profitability through tax benefits and improved efficiency, but it also maximizes financial risk, making its effects highly context dependent. Theoretical frameworks such as the Trade-off Theory, Modigliani-Miller Theorem, Agency Theory, and Pecking Order Theory offer diverse perspectives on how debt influences firm outcomes. Empirical findings reveal mixed results; moderate leverage may lower capital costs and boost performance, whereas unnecessary debt can lead to financial distress. Disparities emerge between developed and developing economies. Debt is often viewed as a tool to mitigate agency costs in mature markets, while weaker financial institutions in emerging economies associate high leverage with instability. Methodological differences, including regression analysis, panel data, and case studies, further contribute to varying conclusions. Despite extensive research, gaps remain in understanding non-linear relationships, external factors like regulation and market competition, and non-financial impacts such as innovation and sustainability. The study underscores the need for nuanced, context-specific approaches to leverage decisions, integrating firm-specific and macroeconomic factors. By synthesizing existing evidence, this paper provides actionable insights for managers, investors, and policymakers while advocating for further research to refine leverage strategies in dynamic economic environments.

This study examined the effect of information and communication technology (ICT) use on small and medium-sized enterprise (SME) performance with a focus on the mediating roles of entrepreneurial orientation, strategic agility, and organizational resilience. Cross-sectional data were collected from 298 SMEs in Lagos, Nigeria, using a questionnaire based on previously validated measurement scales. Partial least squares modelling was applied to test the hypothesized five-factor model. The results demonstrate that ICT use, in response to globalization, exerts a significant and positive effect on SME performance. However, this effect is fully mediated by entrepreneurial orientation, strategic agility, and organizational resilience. The analysis further revealed that the positive effect of ICT use on SME performance is sequentially mediated by strategic agility and organizational resilience. In contrast, the sequential mediation involving entrepreneurial orientation and organizational resilience was positive but not statistically significant. These findings suggest that ICT use alone may be insufficient to enhance SME performance; instead, the development and maintenance of distinctive or dynamic capabilities are essential to achieve optimal and consistent effects.

This study investigates the underlying processes of this relationship by examining knowledge hiding as a mediator and absorptive capacity as a moderator, within the context of the Conservation of Resources (COR) theory. 385 garment sector employees in Bangladesh were surveyed using a three-wave questionnaire, and the results were analyzed using partial least squares structural equation modeling. The study s findings demonstrate that abusive supervision negatively impacts employee creativity, in part by increasing knowledge hiding. Furthermore, higher absorptive capacity mitigates these adverse effects, reducing knowledge-hiding tendencies and enhancing creative performance. Theoretically, this study advances COR theory by identifying knowledge hiding as a resource-depleting mechanism and absorptive capacity as a buffering mechanism in the relationship between abusive supervision and employee creativity. Overall, the findings provide valuable insights for organizations seeking to nurture a resilient, creative workforce under challenging supervisory practices.

The location of new manufacturing facilities is a critical determinant of firm performance and long-term competitiveness in an increasingly dynamic global economy. This decision-making process is complex, shaped by economic, social, geographic, and regulatory conditions. Understanding these factors is essential for policymakers, investors, and firms seeking to design strategies that foster regional development, job creation, and sustainable economic growth. This study examines the key determinants of manufacturing firms new-location choices in the United States. Although factors such as land availability, workforce productivity, and regulatory stability are well recognized, the magnitude and mechanisms through which they affect location decisions remain insufficiently understood. Using data from governmental and industry sources, this analysis investigates how these variables shape site selection. The findings indicate that the density of current establishments and prior business activity strongly predicts new location choices, highlighting the importance of clustering effects in manufacturing expansion. The results show that current business density and firm turnover are the dominant predictors of new entry, while energy costs, public safety, and infrastructure conditions play a statistically consistent but secondary role.

This study examines travelers perceptions and attitudes toward autonomous vehicles (AVs) in tourism destinations. Adopting a qualitative approach, data were collected through semi-structured interviews with 20 travelers and analyzed using content analysis. Drawing on a cognitive–affective perspective, the findings reveal that travelers evaluations of AVs are shaped by both perceived advantages and disadvantages, which are closely linked to their perceptions and emotional responses. The results further indicate that cognitive (perceptions) and affective (feelings) responses are associated with behavioral intentions, including destination choice and willingness to pay for AV services. While many participants expressed positive expectations regarding convenience and novelty, concerns related to safety, trust, and technological reliability were also evident. By integrating cognitive–affective and appraisal perspectives, this study contributes to tourism and technology literature by offering a structured understanding of how travelers respond to emerging mobility technologies. The findings also provide practical insights for destination managers.