THE IMPACT OF BIG DATA ANALYTICS CAPABILITIES ON MANAGERIAL DECISION-MAKING AND ORGANIZATIONAL PERFORMANCE : A SYSTEMATIC LITERATURE REVIEW
Keywords:
Big Data Analytics Capabilities, Managerial Decision-Making, Organizational Performance, Dynamic Capabilities, Data-Driven Decision Making, Systematic Literature ReviewAbstract
The development of Big Data Analytics (BDA) has changed the way organizations design strategies, manage information, and make managerial decisions. However, empirical evidence on how Big Data Analytics Capabilities (BDAC) create organizational value still shows inconsistent patterns and is often indirect. This article aims to systematically synthesize the empirical literature discussing the relationship between BDAC, managerial decision-making, and organizational performance. This study uses a Systematic Literature Review (SLR) approach following the PRISMA, through a comprehensive search of the Scopus, Web of Science, Google Scholar, and ScienceDirect databases for empirical articles from 2015 to 2025. The synthesis results show that BDAC does not automatically improve organizational performance but works through various mediating mechanisms such as decision-making quality, dynamic capabilities, analytical practices, innovation, and human resource readiness and data governance. The findings also confirm that the role of humans and the organizational context remain determining factors in the success of data-driven decision-making. This study identifies conceptual fragmentation and methodological limitations in the existing literature and proposes a more integrative and contextual future research agenda. In practical terms, this article provides a more comprehensive understanding of how organizations can configure BDAC as a strategic capability to support quality managerial decisions and the creation of sustainable organizational performance.
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- 2026-01-31 (2)
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