Generative AI in Scientific Research by Business Students and its Ethics: A Systematic Review (#1601)

Authors

Mendoza Ibarra, Veronica

Manco Vizcarra, Nilda Patricia

Quispe Acosta, Felipe

Abstract

The integration of Artificial Intelligence (AI) into higher business education has generated an unprecedented transformation in scientific production and academic ethics. The objective of this study is to analyze the impact of AI on the research output of business students through a Systematic Literature Review (SLR). Following the PRISMA protocol, a final sample of 40 thematic articles was selected, grounded in a theoretical framework of teaching competencies (TPACK). The results were structured into three dimensions: (i) Output Optimization (45% of the sample), (ii) Adoption and Ethics (37.5%), and (iii) Pedagogical Transformation (17.5%). The study concludes that AI acts as a catalyst for productivity, but its success depends on a curricular redesign that prioritizes the research process over the result. This study provides a strategic roadmap for business schools to integrate AI ethically and effectively.