شناسایی و اولویت بندی عوامل مؤثر بر موفقیت مدیریت دانش با تکنیکهای SAW و FAHP
محورهای موضوعی :
مدیریت صنعتی
Elmira Rahimi
1
,
Majid Bagherzadeh Khajeh
2
1 - M.A, Department of Industrial Management, Operations Research, Islamic Azad University, Tabriz Branch, Tabriz, Iran
2 - Assistant Professor, Department of Management, Islamic Azad University, Tabriz Branch, Tabriz, Iran
تاریخ دریافت : 1394/12/01
تاریخ پذیرش : 1395/06/28
تاریخ انتشار : 1395/06/18
کلید واژه:
fuzzy analytical hierarchy process,
تحلیل سلسله مراتبی فازی,
t-test,
موفقیت مدیریت دانش,
عوامل کلیدی,
آزمون t- test,
مجموع ساده‌ی وزنی,
knowledge management success,
Critical success factors (CSF),
additive weighting method,
چکیده مقاله :
در عصر دانایی محور، دانش به عنوان مزیت رقابتی محسوب می شود که برای استفاده صحیح از آن باید به درستی مدیریت شود. اولین گام جهت اجرای یک سیستم، شناخت عوامل کلیدی می باشد. در طراحی و اجرای مدیریت دانش نیز عواملی وجود دارند که نقش حیاتی تر دارند و با تمرکز حول محورهای اصلی، روند اجرای سیستم را تسهیل و تسریع می گردانند. هدف این تحقیق شناسایی و اولویت بندی عوامل مؤثر بر موفقیت مدیریت دانش می باشد. جامعه آماری کلیه کارشناسان خبره پالایشگاه تبریز به تعداد ۳٠ نفر می باشد و به علت محدود بودن نیازی به نمونه گیری نبوده و کل جامعه مورد مطالعه قرار گرفت. برای جمع آوری داده ها، از 2 پرسشنامه محقق ساخته استفاده شده که با بررسی نظر خبرگان و استفاده از آزمون کرونباخ روایی و پایایی سؤالات مورد سنجش قرار گرفته است. برای شناسایی عوامل از آزمون T- test استفاده شد. براساس یافته ها 4 عامل رویه مدیریت، تلاش های سازمانی و توسعه، فناوری اطلاعات، نرخ تأمین و پذیرش به عنوان عوامل کلیدی شناسایی شده و اولویت بندی آنها طبق روش مجموع ساده وزنی به صورت رویه مدیریت، تلاش های سازمانی، نرخ تأمین و پذیرش و فناوری اطلاعات و با روش تحلیل سلسله مراتبی فازی رویه مدیریت، تلاش سازمانی، فناوری اطلاعات و نرخ تأمین و پذیرش می باشد. از جمله اهمیت مدیریت دانش می‌توان به تشخیص کمبودها در دانش سازمانی، بهره‌وری بیشتر از سرمایه‌های انسانی، ارائه کالاها با ارزش افزوده بیشتر، رضایتمندی مشتریان و کارکنان، تقویت موقعیت رقابتی سازمان، اشاره کرد.
چکیده انگلیسی:
In the knowledge-based age, knowledge is regarded as a competitive advantage which should be managed in a proper manner for an accurate use. The first step to implement a system is to identify the key factors. During designation and implementation of knowledge management, a series of factors exist which play a more vital role and they lead to facilitation and acceleration of the implementation process of the system by focusing on the main axes. This research is conducted in order to identify and prioritize the critical success factors (CSFs) of knowledge management. The statistical population consisted of managers and experts of Tabriz Oil Refinery which is equal to 30 persons. As the statistical population number is limited, there is no need for sampling and the whole population was surveyed. For data collection, two questionnaires were employed, the reliability and validity of questionnaires were assessed by experts’ reviews, opinions, and Cronbach test. For identifying the factors effective on the success of knowledge management T-test was performed. According to the findings and results, four critical success factors were identified, including management practices, organization efforts and development, information technology and supply and adoption rate. With regard to the simple Additive Weighting Method (SAW), the ranking of afore-mentioned factors are as follows: management practices, organizational efforts, supply, and adoption rate and IT. And with regard to the Fuzzy Analytical Hierarchy Process (FAHP), the ranking of these factors are as follows: management practices, organizational efforts, IT and supply, and adoption rate. In addition to the importance of knowledge management, we can refer to the identification of gaps in organization's knowledge, higher productivity of human capital; provide more value-added goods, the satisfaction of customers and employees, strengthening competitive position.
منابع و مأخذ:
Amirnejad, G., Gheitani, A., Goordagooni, I., & Ahmadifard, M. (2013). Prioritizing critical success factors of knowledge management using FAHP: A case study in Refah Bank branches of Iran. European Online Journal of Natural and Social Science, 2(3), 261-272.
Bello, K., & Margilaj, E. (2015). Critical Success Factors of Knowledge Management in Albania Business Organizations. European Journal of Research and Reflection in Management Sciences, 3(2), 15-24.
Chang, T. H., & Wang, T. C. (2009). Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management. Information Sciences, 179, 355-370.
Goonesekera, T. (2012). Measuring Knowledge Management Maturity Levels in the Manufacturing Sector Using Fuzzy Logic Theory (Doctoral dissertation). La Trobe University Bundoora, Victoria 3086, Australia.
Hafezi, Sh. (2014). To evaluate the ability of knowledge management in organizations. Retrieved from http://www.researchmethod90.blogfa.com/post-504.aspx.
Hwang, C. L. & Yoon, K. (1981), Multiple Attribute Decision Making: Method and Applications A State-of-the-Art Survey, Springer Verlag.
Latifi, M. H. (2004). Knowledge management (Success in the global economy based on information), 1st edition. Tehran: Semat press.
Liao, S.H. (2003). Knowledge management technologies and applications – literature review from 1995 to 2002. Expert Systems with Applications, 25, 155–164.
Mogheli, A. (2006). The role of knowledge management critical success factors in gaining competitive advantage. Noor Magazine, 6(1), 82- 85.
Momeni, M. (2010). New topics in Operations Research (5th Ed). Moalef. Press.
Nikfetrat, B. (2004). Knowledge Management in a Week, Tehran: Quality and Management Press.
Sanjaghi, M. A., Jonidi Jafari, Y., & Ghazanfari, M.J. (2013). Measurement processes and key success factors of knowledge management. Journal of protective security research Imam Hussein University, 2(2), 83- 85.
Sarvary, M. (1999). Knowledge Management and Competition in the Consulting Industry. California Management Review, 41(2), 95- 107.
Shojaie, A. A., Torabi, G., & Sedighi, M. M. (2012). Proposing a novel method for assessment of Knowledge Management performance: using Balanced Scorecard. WULFENIA Journal KLAGENFURT, AUSTRIA, 19(8).
Wiig, K. (1997). Knowledge Management: Where Did It Come From and Where Will It Go. Expert Systems with Applications, 13(1), 1- 14.
Wong, K. Y., & Aspinwall E. (2004). Characterizing Knowledge Management in the small business environment. Journal of Knowledge Management, 8 (3), 44-61.
_||_
Amirnejad, G., Gheitani, A., Goordagooni, I., & Ahmadifard, M. (2013). Prioritizing critical success factors of knowledge management using FAHP: A case study in Refah Bank branches of Iran. European Online Journal of Natural and Social Science, 2(3), 261-272.
Bello, K., & Margilaj, E. (2015). Critical Success Factors of Knowledge Management in Albania Business Organizations. European Journal of Research and Reflection in Management Sciences, 3(2), 15-24.
Chang, T. H., & Wang, T. C. (2009). Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management. Information Sciences, 179, 355-370.
Goonesekera, T. (2012). Measuring Knowledge Management Maturity Levels in the Manufacturing Sector Using Fuzzy Logic Theory (Doctoral dissertation). La Trobe University Bundoora, Victoria 3086, Australia.
Hafezi, Sh. (2014). To evaluate the ability of knowledge management in organizations. Retrieved from http://www.researchmethod90.blogfa.com/post-504.aspx.
Hwang, C. L. & Yoon, K. (1981), Multiple Attribute Decision Making: Method and Applications A State-of-the-Art Survey, Springer Verlag.
Latifi, M. H. (2004). Knowledge management (Success in the global economy based on information), 1st edition. Tehran: Semat press.
Liao, S.H. (2003). Knowledge management technologies and applications – literature review from 1995 to 2002. Expert Systems with Applications, 25, 155–164.
Mogheli, A. (2006). The role of knowledge management critical success factors in gaining competitive advantage. Noor Magazine, 6(1), 82- 85.
Momeni, M. (2010). New topics in Operations Research (5th Ed). Moalef. Press.
Nikfetrat, B. (2004). Knowledge Management in a Week, Tehran: Quality and Management Press.
Sanjaghi, M. A., Jonidi Jafari, Y., & Ghazanfari, M.J. (2013). Measurement processes and key success factors of knowledge management. Journal of protective security research Imam Hussein University, 2(2), 83- 85.
Sarvary, M. (1999). Knowledge Management and Competition in the Consulting Industry. California Management Review, 41(2), 95- 107.
Shojaie, A. A., Torabi, G., & Sedighi, M. M. (2012). Proposing a novel method for assessment of Knowledge Management performance: using Balanced Scorecard. WULFENIA Journal KLAGENFURT, AUSTRIA, 19(8).
Wiig, K. (1997). Knowledge Management: Where Did It Come From and Where Will It Go. Expert Systems with Applications, 13(1), 1- 14.
Wong, K. Y., & Aspinwall E. (2004). Characterizing Knowledge Management in the small business environment. Journal of Knowledge Management, 8 (3), 44-61.
