تدوین الگویی برای بررسی نقش زیرساخت‏های پویای مدیریت دانش بر ارتقاء بهره‏وری شرکت‏های دانش بنیان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار گروه مدیریت صنعتی، دانشگاه آزاد اسلامی واحد تبریز

2 عضو هیأت علمی دانشکده مدیریت و حسابداری، دانشگاه پیام نور تهران

چکیده

هدف از این پژوهش تدوین الگویی برای بررسی چگونگی تاثیر زیرساخت­های پویای مدیریت دانش بر ارتقاء بهره­وری شرکت­های دانش بنیان که در حوزه­های مدیریت دانش فعال هستند، می­باشد. روش تحقیق در این مقاله از نوع توصیفی-همبستگی است. جامعه آماری تحقیق تعداد 724 نفر از مدیران و کارشناسان شاغل در شرکت­های فعال در حوزه مدیریت دانش و سیستم­های مدیریت دانش می باشد که در مجموعه پارک علم و فناوری تهران حضور دارند. در این تحقیق، با استفاده از روش نمونه گیری طبقه ای-نسبتی با در نظر گرفتن سطح خطای05/0 تعداد 293 نفر انتخاب گردیدند، که در نهایت، اطلاعات 286پرسشنامه صحیح بین مدیران و کارشناسان ارشد شرکت‏های مورد تحقیق توزیع و با استفاده از روش تجزیه و تحلیل عاملی تأییدی روایی پرسشنامه­ها بررسی شد. مقدارپایایی ترکییی درمحدوده 88/0تا93/0و بالاتر از مقدار استاندارد 7/0 است مقادیرave در بازه 55/0 تا 77/0 و بالاتر از مقدار استاندارد 50/0 است این نتایج نشان می‏دهدکه مدل اندازه­گیری دارای پایایی رضایت بخش است. همچنین، برای آزمون فرضیه­های تحقیق از مدل معادلات ساختاری استفاده گردید. نتایج تحقیق نشان داد که قابلیت­های مدیریت دانش از طریق دو متغیر میانجی ظرفیت جذب و زنجیره تأمین چابک بر ارتقاء بهره­وری شرکت تأثیر دارند.

کلیدواژه‌ها


عنوان مقاله [English]

Develop a model to investigate how the dynamic infrastructure knowledge-based enterprise knowledge management to enhance productivity

نویسندگان [English]

  • Soleyman Iranzadeh 1
  • Yosof Mohammad Karimi 2
1 Department of Management, Faculty of Management, Tabriz Branch, Islamic Azad University, Iran
2 Department of Management, Payame Noor University
چکیده [English]

Extended Abstract
This study was to examine the direct effects of dynamic capabilities on increasing the productivity of the company's knowledge management due to the effects of other functionality is faced with new results. So, their influence on corporate information systems through complementary relationships with other assets, capacities and capabilities of the company in some capacity. Following this concept, this study is based on a dynamic vision of the capabilities of the underlying mechanisms of effective knowledge management capabilities are examined.
In this study, using stratified sampling people were chosen between managers and senior corporate investigated the distribution and using confirmatory factor analysis was assessed validity. Also, structural equation modeling was used to test the hypothesis. The results showed that knowledge management capabilities through the mediating variable absorption capacity and agile supply chain impact on improving company productivity.
The results showed that knowledge management capabilities involved in the development of absorptive capacity, however, the results of this study support the hypothesis that a direct link between knowledge management capabilities and supply chain agility is not approved.
In other words, the effects of knowledge management capabilities in agile supply chain is fully mediated uptake capacity. The results mediating role of absorptive capacity in the relationship between knowledge management capabilities and supply chain agility shows. This view is consistent with previous research, which assumes that the effects of knowledge management capabilities, as lower-order capabilities to enhance productivity by dynamic capabilities and operational capabilities, the higher the impact.
 
Case study
Subject: Develop a model to investigate how the dynamic infrastructure knowledge-based enterprise knowledge management to enhance productivity
Researched it in: The study involved 724 managers and experts working in companies active in the field of knowledge management systems that are present in the collection Science and Technology Park of Tehran, Iran.
 
Materials and Methods
Using SPSS software by Alpha Test total credit and collection questionnaire was independent and dependent variables. Cronbach's alpha ranging from 81/0 to 90/0, which is higher than the value of the standard 70/0 is a value in the range of 88/0 to 93/0 reliability combined and higher than the standard 7/0. AVE values ​​in the range of 55/0 to 77/0 and more than standard 50/0. The results showed that the measurement model reliability satisfactory. To assess the validity of the method used exploratory factor analysis and confirmatory. Analysis and confirmatory factor analysis showed a correlation between the measurement and data collection was satisfactory.
 
Discussion and Results
Based on the results of the structural model can be concluded that there is a fit between the model and data set. Results showed that the structural model of the research hypotheses, (except H4b and H5b) in the relationship between knowledge management capabilities and supply chain agility are confirmed. The results showed that flexible knowledge management infrastructure (36 / 0β =, p <.01) and matched KM (32 / 0β =, p <0.01) had a positive effect on absorption capacity, therefore, hypotheses H4a and H5a are confirmed. In addition, higher supply chain agility (74 / 0β =, p <0.01) and higher absorption capacity (27 / 0β =, p <0.01) had positive effect on improving the company's productivity, thus hypotheses H1 and H2 confirmed are. In addition, the adsorption capacity was positively associated with supply chain agility (61 / 0β =, p <0.01), then it can be concluded that the hypothesis H3 is confirmed.
 
 
 
Conclusion
The study suggests three roles: First, the study of separate studies on knowledge management, dynamic capabilities, supply chain efficiency and promote the communications company has created and to empirically test their relationships in the context of the supply chain. Second, although knowledge management capabilities have a direct impact on improving the company's productivity, but they indirectly by attracting capacity and agility in their supply chain on it. Third, this study examined how the absorption capacity of the company can be directly and indirectly affected through the formation of supply chain agility.

کلیدواژه‌ها [English]

  • Knowledge management infrastructure
  • supply chain agility
  • absorption capacity
  • Productivity
  • integration of knowledge management
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