Innovative Knowledge Productivity in Community of Practice in Public Hospitals of Thailand: A Model Comparison Approach

A. Punpukdee
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Abstract

The Innovative Knowledge Productivity (INN) is the ability of health care professionals to survive will come to depend on their "comparative advantage" in making the knowledge worker more productive. The current research represents a conceptual replication of several previous model comparison studies. The particular models under investigation are Knowledge sharing (KS) model (KSM model) of Van den Hooff and De Ridder (2004) and Absorptive capacity (ACAP) Model (ACM model) of Todorova and Durisin (2007), potentially adequate in the targeted healthcare professional setting. These models are empirically examined and compared, using samples consisted of 428 Registered Nurses of the Knowledge Management Network for Caring Patients with Diabetes at Public Hospitals in the Northern Region of Thailand. We employed a model comparison approach to identify the best fitting model to predict Innovative Knowledge Productivity. Results of the study highlight Absorptive capacity Model (ACM) can predict The Innovative Knowledge Productivity of healthcare professional more than Knowledge sharing model (KSM) based on using the three criteria — (1) minimum discrepancy per degree of freedom (CMIN/DF); (2) The coefficient of determination (R 2 ) of The Innovative Knowledge Productivity; and (3) Root Mean Square Residual (RMR). ACM Model has a total effect on the dependent variable 0.524, which more than KSM Model (Total effect= 0.221). Moreover, the ACM model was identified as the best fitting model to predict Innovative Knowledge Productivity.
泰国公立医院社区实践中的创新知识生产力:一种模式比较方法
创新知识生产力(INN)是指卫生保健专业人员的生存能力将取决于他们在使知识工作者更有生产力方面的“比较优势”。目前的研究是对先前几个模型比较研究的概念复制。正在研究的特定模型是Van den Hooff和De Ridder(2004)的知识共享(KS)模型(KSM模型)和Todorova和Durisin(2007)的吸收能力(ACAP)模型(ACM模型),它们在目标医疗保健专业环境中可能是适当的。使用泰国北部地区公立医院糖尿病患者知识管理网络的428名注册护士组成的样本,对这些模型进行了实证检验和比较。我们采用模型比较的方法来确定预测创新知识生产率的最佳拟合模型。研究结果表明,吸收能力模型(ACM)比知识共享模型(KSM)更能预测医疗保健专业人员的创新知识生产力(1)每自由度最小差异(CMIN/DF);(2)创新知识生产率的决定系数r2;(3)均方根残差(RMR)。ACM模型对因变量的总效应为0.524,大于KSM模型(总效应= 0.221)。此外,ACM模型被认为是预测创新知识生产率的最佳拟合模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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