This study extends the Theory of Planned Behavior (TPB) to examine the factors influencing the employees’ intentions to save energy in the workplace (INSER), incorporating organizational culture (ORGCULT) and environmental knowledge (ENVKNOW) as mediating variables. Structural equation modeling (SEM) of survey data reveals that attitudes toward energy saving (ATESs) and perceived behavioral control (PERBCON) significantly predict INSER, while subjective norms (SUBNORMS) do not exert a direct effect. ORGCULT emerges as a strong mediator, highlighting its role in translating pro-environmental attitudes into actionable intentions. In contrast, ENVKNOW does not mediate the examined relationships, challenging the assumption that knowledge alone is sufficient to drive energy-saving behavior. These findings suggest that organizational commitment and leadership engagement exert a greater influence than peer norms or informational efforts in shaping sustainable workplace behaviors. From a practical perspective, the study underscores the importance of cultivating a sustainability-oriented organizational culture, implementing structural supports, and employing behavioral interventions beyond traditional awareness campaigns. Theoretically, it refines the TPB by illustrating that institutional factors may precede normative pressures in professional settings. Overall, the research contributes to the corporate sustainability literature by advocating for leadership-driven engagement strategies and policy-level interventions to promote long-term energy efficiency.

The rapid integration of Artificial Intelligence (AI) into healthcare has generated significant global debate on its benefits, risks, and ethical implications. While much of this discourse centres on technological performance and clinical outcomes, far less attention has been paid to the managerial and governance challenges regarding AI adoption, particularly in small states with constrained resources. This paper takes Trinidad and Tobago as an illustrative example to explore the dual nature of AI in healthcare, both as an ethical and a managerial issue. Drawing on initiatives such as robotics, oncological diagnostics, and e-health platforms, the paper examines how external factors, including workforce competence, administrative capacity, leadership, cultural trust, and institutional governance, shape AI adoption outcomes. Ethical pillars, autonomy, beneficence, non-maleficence, and justice, are mapped onto managerial concerns such as risk management, strategic alignment, stakeholder trust, and resource allocation. We propose an integrated framework of policy and organisational recommendations, strengthening regulatory frameworks, building workforce competence, institutionalising audits, incentivising responsible practices, and ensuring transparency. By bridging ethics and management, the paper positions small states not as peripheral actors but as examples of how to enact responsible AI governance through globally relevant lessons regarding digital transformation in healthcare and beyond.

This paper explores the effect of country of origin on consumer purchase and repeat purchase intention. The moderating impact of celebrity endorsement will also be explored. This research took on a theoretical approach using over twenty-five (25) articles covering country of origin, purchase intention, and celebrity endorsement. Country-of-origin (COO) effects, namely cognitive, affective, and normative, alongside culture and consumer ethnocentrism, impact a consumer’s purchase intention. Consumers consider the specific effects of a product’s country of origin before purchasing a product, and international marketers must understand these. Research on repeat purchase intention shows no relationship with the country of origin as consumers are historically and sometimes emotionally tied to a product; therefore, they automatically purchase it without giving much thought to its country of origin. This study contributes to the existing literature while adding celebrity endorsement as an external variable. Thus, another important finding is how the theoretical theories of celebrity endorsement, namely, the source credibility model, the source attractiveness model, the match-up hypothesis, and the meaning transfer model, moderate the relationship between the COO effect and purchase and repeat purchase intention. Keywords: Country-of-Origin; Consumer Purchase Intention; Repeat Purchase Intention; Celebrity Endorsement

Despite growing interest in generative artificial intelligence within entrepreneurship education, we lack theory-driven explanations of why or for what purpose entrepreneurship educators adopt these tools in their teaching practice. Addressing this gap, we refined understanding of the Unified Theory of Acceptance and Use of Technology by identifying affinity to technology as an individual-level antecedent and by specifying the boundary conditions under which facilitating conditions lose explanatory power. Using a sequential explanatory mixed-methods design, we first surveyed 380 entrepreneurship educators globally and then conducted 31 interviews to explain the patterns observed in the survey. Our findings show that performance expectancy, effort expectancy, social influence, and affinity to technology significantly shape educators’ intentions to use generative artificial intelligence, which in turn drives actual use. Facilitating conditions, innovativeness, and risk-taking propensity were not significant. Qualitative insights indicate that practical value and ease of use reduce reliance on institutional support, while social influence operates through professional legitimacy rather than proximity-based peers. Overall, we demonstrate that the Unified Theory of Acceptance and Use of Technology helps explain generative artificial intelligence adoption in entrepreneurship education, but only partially, and we clarify the mechanisms through which entrepreneurship educators exercise agency in integrating emerging technologies into their practice.