The Impact of Knowledge Management Strategy on Service Innovation Performance in Private and Public Hospitals
Publish place: Iranian Journal of Management Studies، Vol: 12، Issue: 1
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 105
This Paper With 24 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JIJMS-12-1_001
تاریخ نمایه سازی: 6 شهریور 1402
Abstract:
The main objective of this research is to investigate the comparative effect of knowledge management strategy on the service innovation performance in public and private hospitals through the mediating role of knowledge management practices. Drawing in knowledge management theory, all the organizations require a suitable knowledge management strategy to perform successfully. Therefore, this research focuses on this under-researched subject. This research benefits from quantitative and hypothetical-deductive approach. The sample of the research includes ۸۵۲ therapy sections of both public and private hospitals in Tabriz. The data was collected via research questionnaire. The data has been analyzed using structural equation modeling (SEM) methodology. The results indicate a significant positive relationship between the knowledge management strategy and the knowledge management practices. Moreover, the mediating role of knowledge management practices was confirmed in the relationship between knowledge management strategy and service innovation performance in public and private hospitals.
Keywords:
Authors
سید صمد حسینی
Department of Management, University of Tabriz, Tabriz, Iran
یونس نیکخواه تکمه داش
Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
اژدر کرمی
Department of Management, University of Tabriz, Tabriz, Iran & Bangor Business School, Bangor University, UK
یونس جبارزاده
Department of Management, University of Tabriz, Tabriz, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :