Big Data analytics adoption in Malaysia digital status companies: the moderating role of training/ Nur Khairiah Muhammad, Nor Hasni Osman and Nurul Azita Salleh

This study examines the factors influencing Big Data adoption and its impact on organizational performance within Malaysia Digital Status Companies, particularly in the Global Business Services (GBS) sector. Grounded in the Technology-Organization-Environment (TOE) framework and Resource-Based View (RBV) theory, the study explores the roles of data quality management, data security, ease of use, and top management support, with training acting as a moderating variable. Based on 272 survey responses analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM), the findings reveal that data quality management, ease of use, and top management support contribute significantly to organizational performance, whereas data security does not exhibit a significant effect. Furthermore, training enhances the influence of ease of use, highlighting the importance of intuitive technology and skill development. This study supports the Malaysia Digital Economy Blueprint by advancing data-driven strategies, strengthening digital infrastructure, and boosting economic competitiveness.