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Knowledge management in data-driven business models during the digital transformation of healthcare organisations

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  • Su-Ying Wu
  • Wei-Tsong Wang

Abstract

With the rapid development of digital technologies and the outbreak of the COVID‐19, digital transformation (DT) has been accelerated. This appears to pose specific challenges to the medical field, leading to an inevitable trend towards DT in healthcare organisations. Determining how to develop strategies to master the substantial opportunities brought about by DT is a fundamental issue. Knowledge management (KM) is a key vehicle that can drive DT because it provides a solid foundation for organisational strategies and learning, and helping establish operational priorities. Using the operations of healthcare organisations in Taiwan as an example, this study discusses the challenges and opportunities faced by healthcare organisations related to DT based on data-driven business models, where the concept of KM, organisational agility (OA), and business models are integrated to develop a KM-OA-enabled DT conceptual framework intended to support DT implementation in healthcare organisations. This can serve as a foundation for future studies of DT

Suggested Citation

  • Su-Ying Wu & Wei-Tsong Wang, 2023. "Knowledge management in data-driven business models during the digital transformation of healthcare organisations," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 21(5), pages 983-993, September.
    • Handle: RePEc:taf:tkmrxx:v:21:y:2023:i:5:p:983-993
    DOI: 10.1080/14778238.2023.2226409
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