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Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique

Author

Listed:
  • Lei Wang

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Mengke Yang

    (School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Zulfiqar Hussain Pathan

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Shafaq Salam

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Khuram Shahzad

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Jianqiu Zeng

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Abstract

Globally, many enterprises are currently focusing on big data technology to improve their performance and operations. Recent literature points out several factors that influence the adoption of big data. However, enterprises often resist using the business value of big data due to a lack of knowledge. The purpose of this study is to investigate the factors influencing big data adoption by Chinese enterprises and to develop an indicator system based on the Motivation–Opportunity–Ability (MOA) model. Moreover, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to construct a network relationship map and to analyze its effects. Using the DEMATEL-based Analytic Network Process (ANP) (DANP) method to identify the weight distribution of index, this study quantitatively evaluates the influencing factors. The results show that leadership support, perceived usefulness, financial support, data resources, industrial development, data talents, and technical capability are key elements affecting the application of big data. Accordingly, some targeted suggestions are proposed.

Suggested Citation

  • Lei Wang & Mengke Yang & Zulfiqar Hussain Pathan & Shafaq Salam & Khuram Shahzad & Jianqiu Zeng, 2018. "Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3956-:d:179352
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    References listed on IDEAS

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    Cited by:

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    2. Razika Malek & Qing Yang, 2023. "Analyzing Interrelationships and Prioritizing Performance Indicators in Global Product Development: Application in the Chinese Renewable Energy Sector," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    3. Lei, Zhimei & Chen, Yandan & Lim, Ming K., 2021. "Modelling and analysis of big data platform group adoption behaviour based on social network analysis," Technology in Society, Elsevier, vol. 65(C).
    4. Thamir Hamad Alaskar, 2023. "Innovation Capabilities as a Mediator between Business Analytics and Firm Performance," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    5. Youssef, Mayada Abd El-Aziz & Eid, Riyad & Agag, Gomaa, 2022. "Cross-national differences in big data analytics adoption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

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