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

IF 3.2 4区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Knowledge Management Research & Practice Pub Date : 2023-06-18 DOI:10.1080/14778238.2023.2226409

Su-Ying Wu, Wei-Tsong Wang

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引用次数: 0

Abstract

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

查看原文本刊更多论文

医疗机构数字化转型期间数据驱动商业模式中的知识管理

随着数字技术的快速发展和COVID - 19的爆发，数字化转型(DT)加速。这似乎对医疗领域提出了具体的挑战，导致医疗机构中不可避免的DT趋势。如何制定战略，把握数字化创新带来的巨大机遇，是一个根本性的问题。知识管理(KM)是推动数字化创新的关键工具，因为它为组织战略和学习提供了坚实的基础，并有助于建立运营优先级。本研究以台湾医疗机构的运作为例，探讨医疗机构在数据驱动的商业模式下，与知识管理相关的挑战与机遇，其中整合了知识管理、组织敏捷性(OA)和商业模式的概念，开发了一个KM-OA支持的知识管理概念框架，旨在支持医疗机构实施知识管理。这可以作为未来DT研究的基础

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来源期刊

Knowledge Management Research & Practice Multiple-

CiteScore

7.00

自引率

15.60%

发文量

期刊介绍： Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas: •Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring) •Organisational learning •Intellectual capital •Knowledge economics Within (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.