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Big data and predictive analytics for supply chain and organizational performance

Journal Article


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.

Authors


  •   Gunasekaran, Angappa (external author)
  •   Papadopoulos, Thanos (external author)
  •   Dubey, Rameshwar (external author)
  •   Fosso Wamba, Samuel (external author)
  •   Childe, Stephen J. (external author)
  •   Hazen, Benjamin (external author)
  •   Akter, Shahriar

Publication Date


  • 2017

Citation


  • Gunasekaran, A., Papadopoulos, T., Dubey, R., Fosso Wamba, S., Childe, S. J., Hazen, B. & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70 308-317.

Scopus Eid


  • 2-s2.0-84994200718

Ro Metadata Url


  • http://ro.uow.edu.au/buspapers/978

Number Of Pages


  • 9

Start Page


  • 308

End Page


  • 317

Volume


  • 70

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.

Authors


  •   Gunasekaran, Angappa (external author)
  •   Papadopoulos, Thanos (external author)
  •   Dubey, Rameshwar (external author)
  •   Fosso Wamba, Samuel (external author)
  •   Childe, Stephen J. (external author)
  •   Hazen, Benjamin (external author)
  •   Akter, Shahriar

Publication Date


  • 2017

Citation


  • Gunasekaran, A., Papadopoulos, T., Dubey, R., Fosso Wamba, S., Childe, S. J., Hazen, B. & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70 308-317.

Scopus Eid


  • 2-s2.0-84994200718

Ro Metadata Url


  • http://ro.uow.edu.au/buspapers/978

Number Of Pages


  • 9

Start Page


  • 308

End Page


  • 317

Volume


  • 70