The impact of big data on world-class sustainable manufacturing

Rameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe, Samuel Fosso Wamba, Thanos Papadopoulos

Research output: Contribution to journalArticlepeer-review

187 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)631-645
Number of pages15
JournalInternational Journal of Advanced Manufacturing Technology
Volume84
Issue number1-4
DOIs
StatePublished - Apr 1 2016

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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