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Big Data Analytics Capability and Business Alignment for Organizational Agility: A Fit Perspective

Chaohong Xie, Xianhao Xu, Yeming Gong () and Jie Xiong
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Chaohong Xie: HUST - Huazhong University of Science and Technology [Wuhan]
Xianhao Xu: HUST - Huazhong University of Science and Technology [Wuhan]
Yeming Gong: EM - EMLyon Business School
Jie Xiong: ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School

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Abstract: This paper investigates the impact of big data analytics capability (BDAC) on organizational agility under the moderating effect of BDAC–business alignment and its impact on performance through organizational agility. Data from a matched-pair survey of business, data technology, and financial executives in 161 organizations were used to examine the proposed research model. This paper used partial least squares–structural equation modeling and hierarchical component analysis to examine the data. The results suggest a positive mediation role of organizational agility in the relationship between big data analytics capability and organizational performance, except that the mediation effect of operational adjustment agility on BDAC and market performance is not statistically significant. This study also finds that alignment between the business strategy and the big data analytics strategy enhances the relationship between BDAC and market responsiveness agility. It proposes a new perspective which is to realize the value of BDAC in enhancing agility and performance.

Keywords: Data Science; Big Data Analytics Capability; Fit Perspective; Market Responsiveness Agility (search for similar items in EconPapers)
Date: 2022-05-01
New Economics Papers: this item is included in nep-cse and nep-ict
Note: View the original document on HAL open archive server: https://hal.science/hal-04325618v1
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Citations: View citations in EconPapers (4)

Published in Journal of Global Information Management, 2022, 30 (1), 27 p. ⟨10.4018/JGIM.302915⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04325618

DOI: 10.4018/JGIM.302915

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