This panel discussion examines the potential impact of AI on DBA dissertations, exploring how AI tools could aid in creating cohesive theses, assisting with literature reviews, and addressing biases and ethical concerns in using AI for academic research.

This panel discussion examines the potential for AI to assist DBA students in writing dissertations. It explores the capabilities of current AI tools to generate drafts, literature reviews, and analyze data. The discussion also addresses biases and ethical concerns associated with using AI for academic research.

A summary of the discussion on AI's impact on healthcare operational efficiencies, including ethical considerations in Revenue Cycle Management (RCM) and Supply Chain Management (SCM).

This study explores the relationship between corporate social responsibility (CSR) and financial performance in the Ghanaian mining sector, with a focus on the moderating role of corporate governance. The research employs a sequential-mixed method design to analyze qualitative and quantitative data simultaneously.

This study examines the relationship between Corporate Social Responsibility (CSR) and financial performance in the Ghanaian mining sector, focusing on how corporate governance moderates this relationship. It employs a mixed-method approach to address key questions surrounding CSR activities, stakeholder engagement, and financial outcomes.

This study examines the impact of predetermined and emergent supply chain management (SCM) strategies on the performance of startup e-commerce firms. While prior research has extensively explored supply chain strategy in established organizations, limited empirical work has examined how startups navigate strategic trade-offs between planning and adaptability under uncertainty. Drawing on strategy formation theory (deliberate vs. emergent) and the dynamic capabilities perspective, this research investigates how different SCM approaches influence key performance outcomes, including order volume and revenue (GMV). A mixed-methods research design was employed. Phase 1 utilized a survey of e-commerce supply chain professionals to test hypothesized relationships using regression analysis, incorporating measures of predetermined strategy, emergent strategy, environmental uncertainty, and strategic ambidexterity. Phase 2 adopted a multiple-case study approach, using semi-structured interviews with executives across four startup firms to develop theory through within-case and cross-case analysis grounded in replication logic. Quantitative results indicate that supply chain strategy alone is not a primary driver of revenue performance. Instead, firm age and product assortment expansion emerged as the strongest predictors of both order volume and GMV. Predetermined strategy demonstrated a positive but only marginal relationship with operational scale (order volume), whereas emergent strategy showed no significant direct effect on performance outcomes. Measures of strategic ambidexterity were not statistically significant predictors. Overall, support for the superiority of a predetermined strategy was partial, while an emergent strategy was not supported as a primary performance driver. Qualitative findings provide deeper insight into these results, revealing that predetermined strategies enable operational scaling through standardization and infrastructure development, whereas emergent strategies function as adaptive mechanisms in response to environmental uncertainty. Importantly, cross-case analysis indicates that successful firms tend to exhibit strategic specialization rather than ambidexterity, and that operational scale serves as the primary pathway linking supply chain strategy to financial performance. The study contributes to theory by reframing supply chain strategy as an enabler of operational scaling rather than a direct determinant of financial outcomes, and by introducing a sequential model that links strategy, scale, and performance. It further challenges the prevailing assumption that strategic ambidexterity is universally beneficial in startup contexts. From a managerial perspective, the findings suggest that startup leaders should prioritize deliberate supply chain planning to support scaling while selectively leveraging emergent strategies to navigate uncertainty.

Do mission-driven financial institutions accept efficiency tradeoffs to bank underserved communities, and if so, to what extent? We examine this question using the Low-Income Designation (LID) program for U.S. credit unions, which provides regulatory benefits in exchange for serving majority low-income membership. Using a two-stage data envelopment analysis (DEA) approach with bias-corrected efficiency scores for a balanced panel of 2,067 federally insured credit unions from 2015-2024, we find LID institutions operate with 1.03 percentage points lower efficiency scores (p<0.01) compared to non-LID institutions. This efficiency penalty persists after controlling for size, credit quality, growth, and state/time fixed effects. Mechanism analysis reveals the penalty operates primarily through higher operating costs rather than inefficient capital allocation. Despite lower efficiency, LID institutions experience positive member deposit growth, suggesting stakeholders accept operational costs in exchange for intangible social mission objectives. We find larger efficiency penalties for Minority Depository Institutions (-2.56 percentage points, p<0.01), confirming that broader social mission commitments involve efficiency tradeoffs. Our findings contribute to the stakeholder theory and financial inclusion literature, demonstrating that institutions serving underserved markets face real resource costs that their stakeholders willingly bear.

Explores the relationship between top management team diversity and sustainability innovation, focusing on the mediating role of conflicts and the moderating effect of green culture in the Ghanaian oil and gas sector.

This research explores the influence of top management team diversity on sustainability innovation, focusing on the mediating roles of functional and dysfunctional conflicts and the moderating effect of green culture.

This research explores the effects of job insecurity on employee behaviors in the Palestinian context, focusing on proactive and counterproductive behaviors influenced by chronic job insecurity. Using a mix of conceptual and empirical approaches, the study examines mediators and moderators like emotional exhaustion, resilience, and job resources to understand the dynamics of employee behavior in volatile environments.