The knowledge system and organisational learning sequences of enterprises serving the elderly: evidence from China

Yunqi Chen, Yusen Xu, Kehang Ma and Aimeng Chen

Knowledge Management Research & Practice, 2023, vol. 21, issue 4, 677-690

Abstract: The study explores the knowledge system and organisational learning activities of enterprises serving the elderly using the case study of two Chinese enterprises, and the following findings were obtained. The analysis shows that the complexity of the knowledge system of comprehensive enterprises for the elderly is not weaker than that of the professional technical service industry. The knowledge system of enterprises serving the elderly presents sequential characteristics. We ague that the types of knowledge elements of enterprises serving the elderly should be integrated and contained to form a knowledge system with holographic characteristics. Furthermore, the knowledge accumulation of enterprises serving the elderly depend on the selection of appropriate organisational learning strategies, showing an obvious spiral process of stimulus-response model. This paper provides valuable insights for the enterprises serving the elderly to determine the development direction and path.

Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/14778238.2021.1978885 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:21:y:2023:i:4:p:677-690

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1080/14778238.2021.1978885

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().