Big data and predictive analytics for supply chain and organizational performance |
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| Institution: | 1. Charlton College of Business, University of Massachusetts Dartmouth, North Dartmouth, MA 02747-2300, USA;2. Kent Business School, University of Kent, Sail and Colour Loft, The Historic Dockyard, Chatham, Kent ME4 4TE, United Kingdom;3. Symbiosis Institute of Operations Management, (Constituent of Symbiosis International University), Plot No. A-23, Shravan Sector, CIDCONew, Nashik 422008, India;4. Toulouse Business School, Toulouse, France;5. Plymouth Business School, Plymouth University, Plymouth PL4 8AA, United Kingdom;6. Air Force Institute of Technology, USA;7. School of Management, Operations and Marketing, University of Wollongong, Australia |
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| Abstract: | Scholars acknowledge the importance of big data and predictive analytics (BDPA) in achieving business value and firm performance. However, the impact of BDPA assimilation on supply chain (SCP) and organizational performance (OP) has not been thoroughly investigated. To address this gap, this paper draws on resource-based view. It conceptualizes assimilation as a three stage process (acceptance, routinization, and assimilation) and identifies the influence of resources (connectivity and information sharing) under the mediation effect of top management commitment on big data assimilation (capability), SCP and OP. The findings suggest that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance, which is positively related to BDPA assimilation under the mediation effect of BDPA routinization, and positively related to SCP and OP. Limitations and future research directions are provided. |
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