The Effect of Big Data Capability on Organizational Innovation: a Resource Orchestration Perspective

Weihong Xie, Qian Zhang, Yuyao Lin, Zhong Wang () and Zhongshun Li
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Weihong Xie: Guangdong University of Technology
Qian Zhang: Guangdong University of Technology
Yuyao Lin: Guangdong University of Technology
Zhong Wang: Guangdong University of Technology
Zhongshun Li: Guangdong University of Technology

Journal of the Knowledge Economy, 2024, vol. 15, issue 1, No 151, 3767-3791

Abstract: Abstract This paper explores the relationship between big data capability and organizational innovation and the formation mechanism of big data capability based on resource orchestration theory. Data was collected from 179 questionnaires and used to empirically test the model. Our findings suggest that big data resources acquisition capability (BDRA) is conducive to the construction of big data resources integration and utilization (BDRIU) capability and thus can actively promote product innovation. Throughout this process, the big data expected benefits negatively influence the relationship between BDRA capability and product innovation and positively influence the relationship between BDRIU capability and product and business model innovation. In terms of the formation mechanism of big data capabilities, government support has a significant positive impact on the BDRA and BDRIU capabilities. Data governance partially mediates the relationship between government support and big data capabilities.

Keywords: Big data capabilities; Product innovation; Business model innovation; Government support; Data governance (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13132-023-01208-w

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