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

Su Ying Wu, Wei Tsong Wang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)983-993
Number of pages11
JournalKnowledge Management Research and Practice
Volume21
Issue number5
DOIs
Publication statusPublished - 2023

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Business and International Management
  • Strategy and Management
  • Management Science and Operations Research
  • Library and Information Sciences
  • Management of Technology and Innovation

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