Decision Making Performance of Big Data Analytics Capabilities:The Mediating Effect of Co-Collaboration
Journal of System and Management Sciences · 2023
This research study investigates the mediating influence of co-collaboration (Co-Collab) on the relationship between big data analytics capabilities (BDAC) and decisionmaking performance (DMP).Using a quantitative approach, 189 managers with experience and competence in using data in Indonesian public service sector organizations were empirically evaluated.Structural Equation Modeling analysis was applied to examine the impact of BDAC on DMP and mediating effects of Co-Collab on this relationship.The results demonstrate that BDAC and Co-Collab significantly influence DMP, and BDAC significantly affects Co-Collab.Notably, Co-Collab was identified as a complementary mediator in the relationship between BDAC and DMP, explaining the majority of their effects.These findings suggest the significance for organizational leaders and managers to develop plans that nurture BDAC and implement Co-Collab processes to maximize the business's utilization of big data.Therefore, deriving value from big data to improve organizational DMP requires collaboration between data science experts and business users.Thus, organizations can establish policies and strategies to extract value from data and leverage business community and DMP through BDAC.This approach not only transcends the conventional views of big data analytics as a resource for attaining competitive advantage but also acknowledges its role as a business community that can drive performance within organizations, thereby enriching the existing social capital theory literature.Moreover, the study highlights opportunities for future studies, including comparative analysis across different organizations, experimental research on Co-Collab and DMP, and the application of concurrent or sequential mixed methods to explore context and process relationships among variables.