Modelling quality dynamics, business value and firm performance in a big data analytics environment
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 re...
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| Veröffentlicht in: | International journal of production research 2017-09, Vol.55 (17), p.5011-5026 |
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| container_issue | 17 |
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| container_title | International journal of production research |
| container_volume | 55 |
| creator | Ji-fan Ren, Steven Fosso Wamba, Samuel Akter, Shahriar Dubey, Rameshwar Childe, Stephen J. |
| description | 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. |
| doi_str_mv | 10.1080/00207543.2016.1154209 |
| format | Article |
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| language | eng |
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| source | Taylor & Francis Journals Complete; EBSCOhost Business Source Complete |
| subjects | Analytics Big Data Business business values Data analysis Data management firm performance information quality Quality Response time system quality System reliability |
| title | Modelling quality dynamics, business value and firm performance in a big data analytics environment |
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