The influence of big data on decision-making in the engineering procurement construction industry in Indonesia

The problems faced by the engineering procurement construction (EPC) industry in Indonesia are related to this research, including the presence of more competitive competitors, ineffective planning and project implementation, and the lack of tools in systematic decision-making (DM). This study attempts to use big data analytic capability (BDAC) to improve the quality of DM to enhance performance and improve competitiveness, insightful and predictive information. This study also aims to close the gap between hierarchical DM and the use of BDAC to increase the chances of winning projects and reducing losses in project implementation. This study was conducted on companies engaged in the EPC industry in Indonesia under the Association of Indonesian National Design and Build Companies (AINDBC). The results of this study indicate that BDAC, as a basis for DM, has a positive influence on firm performance (FP) through the process of selecting formulation and implementation strategies and more efficient use of project budgets. The limitation is that the construct of FP cannot be explained by the formulation strategy, but it can be explained by the implementation of strategy (IS). The difference in the results of this study and previous studies is due to differences in product and market characteristics, which are strategic components of the relationship between marketing strategy and FP. The EPC company can increase speed, accuracy and precision of the strategic DM process by using BDAC. Managers or practitioners, who are pioneers in developing and implementing BDACs, are required to increase the quality of DM.