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The Impact of Big Data Technical Skills on Novel Business Model Innovation Based on the Role of Resource Integration and Environmental Uncertainty

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  • Bingqin Dai

    (School of Business Administration, South China University of Technology, Guangzhou 510000, China
    College School of Finance and Business, Minxi Vocational & Technical College, Longyan 361000, China)

  • Wenquan Liang

    (School of Resource Engineering, Longyan University, Longyan 361000, China)

Abstract

Taking the dynamic capability theory as the research framework, using a two-stage questionnaire survey and 318 Chinese enterprises as samples, this study investigates the impact mechanism of big data technical skills on novel business model innovation, as well as the mediator of resource integration and the moderator of environmental uncertainty. The hierarchical regression results show that: (1) big data technical skills have a significant positive impact on novel business model innovation; (2) resource integration is a partial mediator between big data technical skills and novel business model innovation; (3) environmental uncertainty regulates the relationship between big data technical skills and resource integration, that is, the higher the environmental uncertainty, the stronger the positive relationship between big data technical skills and resource integration; (4) environmental uncertainty has no significant moderating effect on the mediating role of resource integration between big data technology skills and novel business model innovation. The conclusion of this study develops the driving factors of novel business model innovation and provides theoretical guidance for enterprises to improve the innovative activities of novel business models by using big data technology skills.

Suggested Citation

  • Bingqin Dai & Wenquan Liang, 2022. "The Impact of Big Data Technical Skills on Novel Business Model Innovation Based on the Role of Resource Integration and Environmental Uncertainty," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2670-:d:758109
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    2. Muhammad Zafar Yaqub & Abdullah Alsabban, 2023. "Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies," Sustainability, MDPI, vol. 15(11), pages 1-33, May.
    3. Maniyassouwe Amana & Pingfeng Liu & Mona Alariqi, 2022. "Value Creation and Capture with Big Data in Smart Phones Companies," Sustainability, MDPI, vol. 14(23), pages 1-22, November.

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