Academic Integrity in The Age of Artificial Intelligence: Examining the Effect of AI Integration on Learning, Research Productivity, And Ethical Standards of Business and Accountancy Students as Future Industry Professionals

AUTHOR(S)

WILFRED MIN C. VELASCO, MBA, CSSWB, CSSYB, CFMS, CHRP* CARINA B. DAVID, MBA, MAED EM VON KARLO G. GABUMPA, CPA, MBA ALFRED J. BAUTISTA, CPA NORHAYAH M. FABRERO, MBA

ABSTRACT

—— Artificial intelligence (AI) tools, including ChatGPT, Grammarly, and QuillBot, are increasingly integrated into academic work, reshaping how students approach research, writing, and ethical decision-making. While previous studies have examined AI adoption in education from a pedagogical perspective, there is limited research connecting AI use to management-relevant constructs, such as ethical reasoning, professional competence, and decision-making skills among future managers. This study addresses this gap by investigating how AI adoption affects the learning behaviors, moral judgment, and professional readiness of Business Administration and Accountancy students in private higher education institutions in Bulacan City. The study emphasizes the theoretical relevance of AI-mediated decision-making and ethical development for management studies, extending insights beyond the classroom to organizational and managerial contexts. The research applies Kohlberg’s Moral Development Theory, the AI Acceptance in Education Framework, Digital Learning Agency Theory, and the Future-Ready Graduate Framework to explore how AI integration influences ethical reasoning, learning efficiency, and professional competence. A quantitative research design measures the frequency, purpose, and context of AI tool usage and examines its relationship with learning behaviors, moral reasoning, and ethical decision-making. Statistical analyses, including correlation and regression models, identify systematic patterns and variations in AI adoption and ethical judgment, providing evidence of both enhanced efficiency and potential ethical challenges. Findings indicate that students use AI predominantly for drafting, proofreading, and information synthesis. While this improves academic efficiency, it also introduces challenges to ethical reasoning and moral judgment, suggesting that AI adoption can shape decision-making behaviors relevant to managerial contexts. Differences in ethical judgment appear to correlate with the level of AI familiarity, digital literacy, and awareness of ethical standards. These results contribute to management theory by demonstrating how emerging digital tools influence the development of ethical competence, professional decision-making skills, and digital agency, which are critical for future organizational leaders. The study provides a theoretical framework linking AI adoption in educational contexts to managerial decision-making, ethical reasoning, and professional competence. This framework offers insights for management research on technology-mediated decision-making and informs practical strategies for developing future-ready managers capable of ethical and efficient decisionmaking in AI-driven environments. The findings also have implications for organizational training programs, ethical policy development, and management education curricula, underscoring the importance of integrating AI literacy and ethical awareness into professional development. Keywords — Artificial Intelligence, Academic Integrity, Ethical Decision-Making, Digital Learning, Professional Competence, Management Education