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Cited by 340

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

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

Open access
Ji-fan Ren, Steven, Fosso Wamba, Samuel, Akter, Shahriar, Dubey, Rameshwar, Childe, Stephen J.·2017·International Journal of Production Research
DOI 10.1080/00207543.2016.1154209
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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.

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Metadata

Authors
Ji-fan Ren, S., Fosso Wamba, S., Akter, S., Dubey, R., & Childe, S. J.
Venue
International Journal of Production Research
Publisher
Informa UK Limited
Published
2016-03-04
Volume
55
Issue
17
Pages
5011-5026
ISSN
  • 0020-7543 (ISSN-L)
  • 1366-588X
DOI
10.1080/00207543.2016.1154209
OpenAlex
W2311688510
Cited by
340
References
15
FWCI
54.63
Type
journal article
Language
en
Open access
green
Funders
National Nature Science Foundation of China (71172158, 71472056)

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CoChat. (2026). Citation check: Modelling quality dynamics, business value and firm performance in a big data analytics environment. https://app.cochat.ai/papers/10.1080/00207543.2016.1154209
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Ji-fan Ren, S., Fosso Wamba, S., Akter, S., Dubey, R., & Childe, S. J. (2017). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research. https://doi.org/10.1080/00207543.2016.1154209

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.