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Modelling and analysis of big data platform group adoption behaviour based on social network analysis

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  • Lei, Zhimei
  • Chen, Yandan
  • Lim, Ming K.

Abstract

Due to the importance of big data technology in decision-making, production and service provision, enterprises have adopted various big data technologies and platforms to improve their operational efficiency. However, the number of enterprises that have adopted big data is not promising. The purpose of this study is to explore the current status of big data adoption by Chinese enterprises and to reveal the possible factors that hinder big data adoption from the group behaviour network perspective. Based on a real case survey of 54 big data platforms (BDPs), four types of networks—i.e., the enterprise-platform network, enterprise network, platform network and industry similarity and difference (ISD) network—are constructed and analysed on the basis of social network analysis (SNA). This study finds that among Chinese enterprises, the level and scope of big data adoption are generally low and are imbalanced among industries; the cognitive level and adoption behaviour of enterprises on BDPs are inconsistent, the compatibility of BDPs is different, and the density and distance-based cohesion of networks are weak; although the current big data adoption behaviours of Chinese enterprises have formed some structural features, core-periphery structures and maximal complete cliques are found, and the current network structure has little impact on individual enterprises and platforms; enterprises in the same industry prefer to adopt the same kind of big data technology or platform. Based on these findings, several strategies and suggestions to improve big data adoption are provided.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:teinso:v:65:y:2021:i:c:s0160791x21000452
    DOI: 10.1016/j.techsoc.2021.101570
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    References listed on IDEAS

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    1. 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.
    2. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Cabrera-Sánchez, Juan-Pedro & Villarejo-Ramos, à ngel F., 2020. "Acceptance and use of big data techniques in services companies," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    5. Hemlata Gangwar, 2018. "Understanding the Determinants of Big Data Adoption in India: An Analysis of the Manufacturing and Services Sectors," Information Resources Management Journal (IRMJ), IGI Global, vol. 31(4), pages 1-22, October.
    6. Benlian, Alexander & Hess, Thomas, 2011. "Opportunities and risks of Software-as-a-Service: Findings from a survey of IT executives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58025, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Lu Zhang & Xiaochao Guo & Zhimei Lei & Ming K. Lim, 2019. "Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

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    2. Bayrak, Tuncay, 2021. "A framework for decision makers to design a business analytics platform for distributed organizations," Technology in Society, Elsevier, vol. 67(C).

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