Validating a Knowledge Transfer Framework in Health Services

被引:0
|
作者
Orendorff, Doug [1 ]
Ramirez, Alex [1 ]
Coakes, Elayne [1 ]
机构
[1] Carleton Univ, Sprott Sch Business, Ottawa, ON K1S 5B6, Canada
来源
关键词
Horizontal knowledge transfer; health services; case study; clinical practice guidelines; tacit knowledge transfer;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The study of knowledge transfer (KT) has been proceeding in parallel but independently in health services and in business, presenting an opportunity for synergy and sharing. This paper uses a survey of 32 empirical KT studies with their 96 uniquely named determinants of KT success to identify ten unique determinants for horizontal knowledge transfer success. These determinants, the outcome measure of Knowledge Use, and separate explicit and tacit transfer flows constitute the KT Framework, extending the work of previous KT framework authors. Our Framework was validated through a case study of the transfer of clinical practice guideline knowledge between the cardiac teams of selected Ontario hospitals, using a survey of senders and receivers developed from the KT literature. The study findings were: 8 of 10 determinants were supported by the Successful Transfer Hospitals; and 4 of 10 determinants were found to a higher degree in the Successful than non-Successful transfer hospitals. Taken together, the results show substantive support for the KT Framework determinants, indicating aggregate support of 9 of these determinants, but not the 10th - Knowledge Complexity. The transfer of tacit knowledge was found to be related to the transfer of the explicit knowledge and expressed as the transfer or recreation of resource profile and internal process tacit knowledge, where this tacit transfer did not require interactions between Sender and Receiver. This study provides managers with the building blocks to assess and improve the success rates of their knowledge transfers.
引用
收藏
页码:116 / +
页数:5
相关论文
共 50 条
  • [41] A Secure and Robust Knowledge Transfer Framework via Stratified-Causality Distribution Adjustment in Intelligent Collaborative Services
    Jia, Ju
    Ma, Siqi
    Wang, Lina
    Liu, Yang
    Deng, Robert H.
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2024, 73 (01) : 58 - 72
  • [42] The Health of the Nation Outcome Scales: validating factorial structure and invariance across two health services
    Preston, NJ
    [J]. AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2000, 34 (03): : 512 - 519
  • [43] An IoT Knowledge Reengineering Framework for Semantic Knowledge Analytics for BI-Services
    Mishra, Nilamadhab
    Chang, Hsien-Tsung
    Lin, Chung-Chih
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [44] Future utility services' (un)knowns framework: Knowledge existence and knowledge reach
    Grubic, Tonci
    Varga, Liz
    Varga, Stephen
    [J]. FUTURES, 2013, 54 : 68 - 86
  • [45] A novel framework of knowledge transfer system for construction projects based on knowledge graph and transfer learning
    Xu, Jin
    He, Mengqi
    Jiang, Ying
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 199
  • [46] Validating and modelling technological pedagogical content knowledge framework among Asian preservice teachers
    Chai, Ching Shing
    Ng, Eugenia M. W.
    Li, Wenhao
    Hong, Huang-Yao
    Koh, Joyce H. L.
    [J]. AUSTRALASIAN JOURNAL OF EDUCATIONAL TECHNOLOGY, 2013, 29 (01) : 41 - 53
  • [47] Connected Health Services: Framework for an Impact Assessment
    Chouvarda, Ioanna
    Maramis, Christos
    Livitckaia, Kristina
    Trajkovik, Vladimir
    Burmaoglu, Serhat
    Belani, Hrvoje
    Kool, Jan
    Lewandowski, Roman
    Moen, Anne
    Maglaveras, Nikolaos
    Schonenberg, Helen
    Gaveikaite, Violeta
    Lee, Cecilia
    Caulfield, Brian
    Mountford, Nicola
    Bikulciene, Liepa
    Todorovic, Igor
    Fernandez, Estefania Guisado
    Dimitrakopoulos, George
    Kautsch, Marcin
    Turukalo, Tatjana Loncar
    Perala-Heape, Maritta
    Luque, Luis Fernandez
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (08)
  • [48] A framework for evaluating underutilization of health care services
    Fetterolf, DE
    [J]. AMERICAN JOURNAL OF MEDICAL QUALITY, 1999, 14 (02) : 89 - 97
  • [49] CONTINGENCY BETWEEN KNOWLEDGE CHARACTERISTICS AND KNOWLEDGE TRANSFER MECHANISM: AN INTEGRATIVE FRAMEWORK
    Li, Ziye
    Xi, Youmin
    [J]. MANAGING KNOWLEDGE FOR GLOBAL AND COLLABORATIVE INNOVATIONS, 2010, 8 : 93 - +
  • [50] An Organizing Framework for Translation in Public Health: The Knowledge to Action Framework
    Wilson, Katherine M.
    Brady, Teresa J.
    Lesesne, Catherine
    [J]. PREVENTING CHRONIC DISEASE, 2011, 8 (02):