Designing Game-based Analytics Training Models for Smart Business Decision-Making: Evidence from Vietnam
AUTHORS
Nguyen Minh Quang,Faculty of Finance and Banking, University of Economics Ho Chi Minh City, Vietnam
Tran Thi Lan Ahn,School of Business and Management, Vietnam National University, Hanoi, Vietnam
ABSTRACT
The rapid diffusion of smart business technologies and data-driven management practices has intensified organizational demand for graduates with strong quantitative and analytical decision-making capabilities. Despite the growing emphasis on business analytics, many emerging economies continue to face persistent gaps between formal quantitative education and the applied analytics readiness of professionals. This study proposes and evaluates a game-based analytics training model designed to support the development of statistical reasoning and decision-making skills relevant to smart business environments. Using a design-based research approach, the model integrates game-based simulations, technology-enabled formative analytics tools, and authentic business-oriented assessment tasks within undergraduate quantitative courses at a Vietnamese higher education institution. Longitudinal evidence across multiple cohorts indicates improvements in learner engagement with business data, applied statistical performance, and collaborative decision-making confidence. The study contributes a context-sensitive framework for analytics capability development and offers practical implications for business schools, organizations, and smart enterprises seeking to strengthen data-driven human capital.
KEYWORDS
Business analytics, Smart business, Decision-making, Game-based simulation, Statistical analytics, Vietnam
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