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How and When Does Big Data Analytics Capability Boost Innovation Performance?

Author

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  • Hua Zhang

    (Sunwah International Business School, Faculty of Economics, Liaoning University, Shenyang 110000, China)

  • Shaofeng Yuan

    (Business School, Faculty of Economics, Liaoning University, Shenyang 110000, China)

Abstract

The diffusion of big data in recent years has stimulated many companies to develop big data analytics capability (BDAC) to boost innovation performance. However, research regarding how and when BDAC can increase innovation performance is still scant. This study aims to test how (i.e., the mediating role of strategic flexibility and strategic innovation) and when (i.e., the moderating role of environmental uncertainty) BDAC can boost a firm’s innovation performance drawing on resource-based theory. Through a survey of 421 Chinese managers and employees who are engaged in the field of big data analytics, this study reveals that (1) BDAC has a positive effect on innovation performance, (2) strategic flexibility and strategic innovation play a significant serial mediating role in this relationship, and (3) the positive effect of BDAC on innovation performance is more significant under high (vs. low) environmental uncertainty conditions. This study contributes to the extant literature by verifying how BDAC can increase a firm’s innovation performance through the serial mediating role of strategic flexibility and strategic innovation. It also confirms a contingent factor (i.e., environmental uncertainty) regarding the positive effect of BDAC on innovation performance.

Suggested Citation

  • Hua Zhang & Shaofeng Yuan, 2023. "How and When Does Big Data Analytics Capability Boost Innovation Performance?," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4036-:d:1077436
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    References listed on IDEAS

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    3. Zhen Liu & Yixin Liu & Mohamed Osmani, 2024. "Integration of Smart City Technology and Business Model Innovation," Sustainability, MDPI, vol. 16(12), pages 1-30, June.

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