Knowledge management based on information technology in response to COVID-19 crisis

Wei Tsong Wang, Su Ying Wu

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

COVID-19’s rapid spread has caused a global pandemic. Consequently, it is imperative that healthcare organisations conduct crisis management (CM) to cope with this calamity. This study presents a set of operational guidelines for healthcare organisations to launch effective countermeasures against such crises by means of effective knowledge management (KM) practices. Additionally, information-technology (IT) applications can significantly improve organisations’ CM and KM capabilities by enhancing organisational responsiveness and flexibility. This study thus aims to articulate how the use of innovative IT-enabled mechanisms (e.g., non-contact monitoring devices, intelligent robots, and telemedicine) can reduce the risk of exposure and leverage an artificial intelligence-based epidemic intelligence dashboard to support appropriate decision-making by taking the operation of healthcare organisations in Taiwan during COVID-19 crisis as an example. The research results demonstrate the effectiveness of the employment of IT-enabled KM practices in CM settings in terms of preventing or minimising undesirable crisis consequences.

Original languageEnglish
Pages (from-to)468-474
Number of pages7
JournalKnowledge Management Research and Practice
Volume19
Issue number4
DOIs
Publication statusPublished - 2021

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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