Assessment of Impact of Adoption of AI in Smart Business Education: A Data-Driven Investigation of Readiness, Perceptions, and Pedagogical Transformation

The present study endeavors to interrogate the intricate nexus between perception, readiness, and institutional scaffolding in fostering AI adoption within educational paradigms, employing a quantitative, descriptive-correlation methodology anchored in a positivist epistemology wherein data were elicited via a structured Likert-scale questionnaire administered to a purposively selected sample of 320 academic stakeholders; analytical rigor was ensured through the deployment of Kendall’s tau-b, Spearman’s rho, multiple regression, and ANOVA via SPSS, unveiling statistically significant and positively correlated relationships among the examined variables, with perception of AI, institutional support, and readiness serving as robust predictors of AI assimilation; the findings hold profound practical, managerial, and societal implications, advocating for policy recalibrations and strategic interventions to augment institutional ecosystems, enhance faculty training, and demystify AI-driven pedagogical transitions; the study culminates in asserting that successful AI integration necessitates not only infrastructural investments but also a paradigm shift in cognitive receptivity and organizational commitment, thereby underscoring the indispensability of synergistic stakeholder engagement in architecting technologically resilient and pedagogically transformative learning environments.