Big Data Adoption and Knowledge Management Sharing for Organizational Intelligence


  • Surasak Srisawat Ministry of Education, Thailand
  • Sasitorn Issaro Nakhon Si Thammarat Rajabhat University, Thailand
  • Jaruwan Karapakdee Srinakharinwirot University, Thailand


distributed cloud, cloud services, digital repository, digital transformation


This paper proposes a theoretical model that links organizational intelligence with big data adoption factors and knowledge management sharing factors in an organizational environment and applies the Technology-Organization-Environment Framework: TOE. The model consists of three dimensions which are (1) the technological dimension: relative advantage, complexity, and compatibility, (2) the organizational dimension: top management support, organizational data environment, and organizational readiness, and (3) the environmental dimension: government regulation and policy and external pressure. Besides, the knowledge management sharing factor emphasizes age diversity, cultural diversity, and organizational sharing culture. This study focuses on the relationship between big data adoption factors and knowledge management sharing factors influencing organizational intelligence. This theoretical model is appropriate for conducting survey research to analyze data and plan strategies at the organizational level for organizational intelligence.


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How to Cite

S. Srisawat, S. Issaro, and J. Karapakdee, “Big Data Adoption and Knowledge Management Sharing for Organizational Intelligence”, Int J Edu Comm Tech, vol. 2, no. 2, pp. 10–23, Sep. 2022.



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