The impact of big data on world-class sustainable manufacturing

  • Rameshwar Dubey
  • Angappa GunasekaranEmail author
  • Stephen J. Childe
  • Samuel Fosso Wamba
  • Thanos Papadopoulos


Big data (BD) has attracted increasing attention from both academics and practitioners. This paper aims at illustrating the role of big data analytics in supporting world-class sustainable manufacturing (WCSM). Using an extensive literature review to identify different factors that enable the achievement of WCSM through BD and 405 usable responses from senior managers gathered through social networking sites (SNS), we propose a conceptual framework using constructs obtained using reduction of gathered data that summarizes this role; test this framework using data which is heterogeneous, diverse, voluminous, and possess high velocity; and highlight the importance for academia and practice. Finally, we conclude our research findings and further outlined future research directions.


Big data World class sustainable manufacturing Social networking site Confirmatory factor analysis Sustainable manufacturing 


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Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  • Rameshwar Dubey
    • 1
  • Angappa Gunasekaran
    • 2
    Email author
  • Stephen J. Childe
    • 3
  • Samuel Fosso Wamba
    • 4
  • Thanos Papadopoulos
    • 5
  1. 1.Symbiosis Institute of Operations ManagementConstituent of Symbiosis International UniversityNew NashikIndia
  2. 2.Charlton College of BusinessUniversity of Massachusetts DartmouthNorth DartmouthUSA
  3. 3.College of Engineering, Mathematics and Physical SciencesUniversity of ExeterEXETERUK
  4. 4.NEOMA Business School, RouenMont Saint Aignan CedexFrance
  5. 5.Department of Business and ManagementUniversity of SussexBrightonUK

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