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. 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 firm performance in a big data environment. The study also proposes that the relationship between quality and firm performance 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 firm performance.
Publication Date
2017-01-01
Publication Title
International Journal of Production Research
ISSN
0020-7543
Organisational Unit
Plymouth Business School
Recommended Citation
Ji-fan, R. S., Fosso, W., Akter, S., Dubey, R., & Childe, S. (2017) 'Modelling quality dynamics on business value and firm performance in big data analytics environment', International Journal of Production Research, . Retrieved from https://pearl.plymouth.ac.uk/pbs-research/128
