Analysis of Barriers and Driving Factors for the Application of Mathematical Economic Models in the Decision-Making Process of Manufacturing Enterprises in Vietnam
Abstract
This study aims to deeply explore and interpret the barriers and driving factors in the process of applying mathematical economic models to decision-making within Vietnamese manufacturing enterprises. To achieve this objective, the research employed an exploratory qualitative method, with semi-structured in-depth interviews with 12 senior and middle managers directly involved in strategic and operational decision-making as the primary tool. The analysis reveals a clear contrasting picture: the main barriers include (1) a crisis in data quality and availability, (2) a gap in human resource capabilities and an organizational culture that prioritizes experience, and (3) the burden of investment costs; while the critical driving factors are (1) survival pressure from market competition, (2) the decisive role of visionary leadership, and (3) the persuasive power of successful pilot projects. From these findings, the study proposes important practical implications, recommending that enterprises adopt a step- by-step approach of "starting small, proving efficiency," and suggesting that educational institutions should enhance industry collaboration and focus on soft skills for students. The novelty of this work lies in its use of a qualitative lens to delve into the specific context of Vietnam, interpreting cultural and behavioral nuances often overlooked by previous quantitative studies, thereby enriching the theory of technology adoption for developing economies.
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