This research aimed to identify patterns, intellectual structure, contributions, social interactions, gaps, and future research directions in the field of academic integrity (AI). A bibliometric analysis was conducted with 1406 publications covering the period 1966-2023. The results indicate that there has been significant growth in AI literature…

Using multivariate regression, we identified situational, personal and contextual variables correlated with business students' self-reported rates of academic misconduct. The most influential predictors of increasing academic misconduct were: higher estimates of peers' academic misconduct, increasingly negative perceptions of the program's…

This study is a snapshot of how Ontario universities are currently promoting academic integrity (AI) online. Rather than concentrating on policies, this paper uses a semiotic methodology to consider how the websites of Ontario's publicly funded universities present AI through language and image. The paper begins by surveying each website and…

The historical examination of academic integrity in this monograph demonstrates that student academic conduct has always been strongly connected to faculty work, institutional structures, context, and organizational pressures. Student affairs professionals, faculty, and other campus constituents who have struggled with reducing academic misconduct…