Big Data Analytics Adoption in Malaysia Digital Status Companies: The Moderating Role of Training
DOI:
https://doi.org/10.24191/jikm.v15i1.4418Abstract
This study investigates the factors influencing Big Data adoption and their impact on organizational performance within Malaysia Digital Status Companies, focusing on the Global Business Services (GBS) sector. Grounded by Technology-Organization-Environment (TOE) framework and Resource-Based View (RBV) theory, the study examines the role of data quality management, data security, ease of use, and top management support, along with the moderating effect of training on these relationships. Data were collected via an online survey, resulting 272 responses using a combination of simple random and convenience sampling. The hypotheses were tested using Partial Least Squares Structural Equation Modelling (PLS-SEM). From the analysis, four hypotheses were empirically supported, another four hypotheses were empirically not supported. This study provides insights into managing Big Data adoption challenges and advancing Malaysia's digital transformation.
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