Big Data Analytics Adoption for Improving Organization Flexibility and Supply Chain Resilience: an Empirical Study

Purpose In the era of Industry 4.0, conventional manufacturing supply chains are evolving into data-centric supply chains. Apart from it, organizations are facing a highly complex and dynamic market environment. Consequently, data analytics is emerging as a crucial tool for effective decision-making. Therefore, this study aims to explore the antecedents for the adoption of Big Data Analytics (BDA) in manufacturing firms and to examine its effect on organizational flexibility and supply chain resilience. Design/methodology/approach Drawing from a comprehensive review of existing literature, a research framework has been created to explore the antecedents for BDA adoption and its impact on flexibility and resilience. Study is based on Technology-Organization-Environment (TOE) framework. Hypotheses are framed considering different constructs of the proposed research framework. Questionnaire-based survey was used to collect responses from organizations based in India. Partial least squares structural equation modeling (PLS-SEM) is used to test the proposed hypotheses. Findings Findings show that technological, organizational and environmental factors significantly influence the adoption of BDA. Further, it is also observed that the successful adoption of BDA helps in improving the flexibility and resilience of organizations during disruptions. Research limitations/implications Survey data was obtained from organizations based in India, which restricts the generalizability of results. Therefore, future studies may be carried out across different sectors and countries to compare and validate findings for robust managerial implications. Practical implications Study has explored major antecedents for BDA adoption in organizations. Management may formulate a strategy based on insights for successful BDA adoption. Originality/value Based on insights from study, organizations may improve their flexibility and resilience to sustain in a dynamic market environment and under various disruptions.