Rafiul Azim Jowarder

The rapid integration of Artificial Intelligence (AI) in higher education has changed teaching and assessment practices and has introduced new risks for faculty well-being. This study, conducted in 10 public and private universities in Dhaka, Bangladesh, examines faculty burnout associated with AI adoption and academic integrity enforcement. Semi-structured interviews were conducted with 37 full-time faculty members, each with more than 5 years of teaching experience. Reflexive thematic analysis identified 5 domains of burnout: workload intensification through invisible labor, technostress driven by rapid technological change, an investigative burden that moves the faculty role from pedagogy toward surveillance, ethical strain within a policy vacuum, and disruption of professional identity. Participants described AI integration as a structural intensifier of academic labor rather than a labor-saving tool. In the absence of clear governance, faculty members absorbed the cognitive, emotional, and administrative costs of institutional transitions. The findings support the need for written institutional AI policies, formal recognition of assessment redesign labor, fair and reliable misconduct procedures, and sustained professional development so that integrity enforcement does not rest on individual instructors alone. The results carry implications for university governance, national regulatory bodies, and occupational health in academic workplaces.

Entrepreneurship is a cornerstone of the U.S. economy, yet the factors driving its success remain complex and multifaceted. This study examines the cultural and economic influences on risk-taking and proactiveness among U.S. entrepreneurs. The purpose of this research is to explore how individualism, tolerance for failure, financial accessibility, and regulatory frameworks shape entrepreneurial behaviors. Using a mixed-methods approach, quantitative surveys were conducted with 500 entrepreneurs across diverse U.S. regions, complemented by qualitative interviews with 20 experienced entrepreneurs. Key findings highlight a strong correlation between cultural support for innovation and entrepreneurial risk-taking, as well as a significant influence of economic infrastructure on proactiveness. Quantitative analysis revealed a strong correlation between cultural support for resilience and innovation and the willingness to take risks, highlighting the pivotal role of cultural factors in driving entrepreneurial behavior. Additionally, access to capital and supportive regulatory frameworks emerged as essential enablers of proactive entrepreneurship. Complementing these findings, qualitative insights emphasized the importance of mentorship, professional networks, and economic accessibility in nurturing entrepreneurial success and sustaining long-term growth. The research concludes that fostering a culture of resilience and innovation alongside robust economic support systems is critical to sustaining U.S. entrepreneurial growth. These findings provide actionable recommendations for policymakers and stakeholders aiming to enhance entrepreneurial dynamics in the United States. Future research should explore industry-specific dynamics and longitudinal changes to deepen understanding of these relationships.