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Modelling quality dynamics, business value and firm performance in a big data analytics environment

Journal Article


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Abstract


  • Big data analytics have become an increasingly important component for firms across advanced economies. This paper examines the quality dynamics in big data environment that are linked with enhancing business value and firm performance (FPER). The study identifies that system quality (i.e. system reliability, accessibility, adaptability, integration, response time and privacy) and information quality (i.e. completeness, accuracy, format and currency) are key to enhance business value and FPER in a big data environment. The study also proposes that the relationship between quality and FPER is mediated by business value of big data. Drawing on the resource-based theory and the information systems success literature, this study extends knowledge in this domain by linking system quality, information quality, business value and FPER.

Authors


  •   Ren, Steven Ji-Fan. (external author)
  •   Fosso Wamba, Samuel (external author)
  •   Akter, Shahriar
  •   Dubey, Rameshwar (external author)
  •   Childe, Stephen J. (external author)

Publication Date


  • 2016

Citation


  • Ren, S. Ji-Fan., Fosso Wamba, S., Akter, S., Dubey, R. & Childe, S. J. (2016). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, In Press 1-16.

Scopus Eid


  • 2-s2.0-84961197705

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2011&context=buspapers

Ro Metadata Url


  • http://ro.uow.edu.au/buspapers/1005

Number Of Pages


  • 15

Start Page


  • 1

End Page


  • 16

Volume


  • In Press

Place Of Publication


  • United Kingdom

Abstract


  • Big data analytics have become an increasingly important component for firms across advanced economies. This paper examines the quality dynamics in big data environment that are linked with enhancing business value and firm performance (FPER). The study identifies that system quality (i.e. system reliability, accessibility, adaptability, integration, response time and privacy) and information quality (i.e. completeness, accuracy, format and currency) are key to enhance business value and FPER in a big data environment. The study also proposes that the relationship between quality and FPER is mediated by business value of big data. Drawing on the resource-based theory and the information systems success literature, this study extends knowledge in this domain by linking system quality, information quality, business value and FPER.

Authors


  •   Ren, Steven Ji-Fan. (external author)
  •   Fosso Wamba, Samuel (external author)
  •   Akter, Shahriar
  •   Dubey, Rameshwar (external author)
  •   Childe, Stephen J. (external author)

Publication Date


  • 2016

Citation


  • Ren, S. Ji-Fan., Fosso Wamba, S., Akter, S., Dubey, R. & Childe, S. J. (2016). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, In Press 1-16.

Scopus Eid


  • 2-s2.0-84961197705

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2011&context=buspapers

Ro Metadata Url


  • http://ro.uow.edu.au/buspapers/1005

Number Of Pages


  • 15

Start Page


  • 1

End Page


  • 16

Volume


  • In Press

Place Of Publication


  • United Kingdom