From Lecture Halls to Learning Clouds: The Digital Turn in Business and Management Education

The digital transformation of business and management education epitomizes a paradigm shift from traditional lecture-based pedagogies to technology-enabled, cloud-based, and data-informed learning ecosystems. Cloud computing, artificial intelligence (AI), learning management systems, and blended learning models now constitute the core infrastructure supporting flexible, scalable, and personalized learning environments. This study synthesizes contemporary research to explore the pedagogical, technological, and institutional shifts driving this digital turn, based on peer-reviewed evidence from leading scholarly publications between 2014 and 2025. Findings emphasize that cloud-enabled platforms substantially enhance accessibility, collaboration, and continuity of learning, while well-designed blended learning models enhance student engagement and academic performance. Furthermore, AI-driven analytics support adaptive instruction, early identification of at-risk learners, and data-informed academic interventions. However, the success of digital transformation depends on robust digital infrastructure, strategic institutional commitment, faculty readiness, and efforts to mitigate digital inequities that influence learner participation.