ارزیابی عوامل بحرانی مدیریت دانص در کسب و کار های مبتنی بر پروشه با استفاده از مدل سازی ساختاری تفسیری

محورهای موضوعی : مدیریت صنعتی

Mostafa Jafarie ¹ ( Assistant Professor, Iran University of Science and Technology, Tehran, Iran )
Payman Akhavann ² ( Associate Professor, Malek-Ashtar University of Technology, Tehran, Iran )
Hamid Reza Naienie ³ ( M.A Student in Industrial Engineering, Iran University of Science and Technology, Tehran, Iran )
Hamed Shoaray Nejati ⁴ ( M.A Student in Industrial Engineering, Iran University of Science and Technology, Tehran, Iran )

تاریخ دریافت : 1396/10/20 تاریخ پذیرش : 1396/10/20 تاریخ انتشار : 1391/10/01

کلید واژه: مدیریت دانش, مدل سازی ساختاری تفسیری, عوامل بحرانی, کسب و کارمبتنی برپروژه,

چکیده مقاله :

امروزه سازمان هادریافته اندکه رمز ماندگاری در عرصه رقابت, پرداختنبه مقوله دانش و مدیریت صحیح آن می باشد. در عین حال بسیاری از سازمان هاء کسب و کار خود را برحسب پروژه ها سازماندهی می کنند. موققیت مدیریت دانش در سازمان هایمبتنی برپروژه بهدلیل ویژگی های متفاوت شان باسایر سازمان ها, مستلزم توجه به یک سری عوامل بحرانی موفقیت می باشد. هدف این پژوهش شناسایی عوامل بحرانی مدیریت دانش درکسب و کار هایمبتنی برپروژه و ارزیابی روابطبین آنهابااستفاده از مدل سازی ساختاریتفسیری می باشد. در این مطالعه؛ جامعهتحقیق تعدادی از مدیران پروژه هایصنعت خودرو سازی ایران بودهکهبااستفاده ازتکنیکدلفی و طی مدت ۲ ماه, نظرات آنها جمع آوری و تحلیل شده است.نتایج نشان می دهد عامل مدیریت بالاترین قدرتنفوذ و کمترینوابستگی را دربین ۸ عامل بحرانی دیگر شامل: ساختار سازمانی, فرهنگ متدولوژی مدیریت دانش, زیر ساخت های اطلاعاتی محتوای دانش مدیریت پروژه سازمانی انگیزش و پاداش و کارکنان دارد. شناختکلیه این عوامل و درک روابطبین آن هاء برای موفقیت مدیریت دانشدرکسب و کار هایمبتنی برپروژه امری ضروری است.

منابع و مأخذ:

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2. Ajmal, M., Kekale, T., & Takala, J. (2009). Cultural impacts on knowledge management
and learning in project-based firms. Information and knowledge management systems,
39(4), 339-352.
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4. Akhavan, P., & Jafari, M. (2006). Critical Issuse for Knowledge Management
Implementation at a National Level. Information and knowledge management systems,
36(1), 52-66.
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and Knowledge management. Procedia Computer Science, 3, 1224–1236.
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exploration of personalization-retention and codification-recruitment configurations.
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Information and Organization, 17(1), 27–58.
8. Chandramowli, S., & Transue. M. (2011). Analysis of barriers to development in landfill
communities using interpretive structural modeling. Habitat International, 35(2), 246_253.
9. Chua, A., & Lam, W. (2005). Why KM projects fail: a multi-case analysis. Knowledge
Management, 9(3), 6-17.
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management projects. Sloan Management Review, 39(2), 43-57.
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30(3), 374–384.
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Management Journal, 21(1), 62-70.
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Management, 6(5), 512–520.
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competitive strategy of the firm. The Learning Organization, 13(4), 384-397.
15. Hanisch, B., Lindner, F., Mueller, A., & Wald, A. (2009). Knowledge management in
project environments. Knowledge Management, 13(4),148-160.
16. Jamali, G., & Abaszadeh, M. (2008). Implementation of Interpretive structural modeling
for analysis of competitive strategy. 4th International Strategic Management Conference.
17. Karina S. C., & Heine K. B. (2003). Knowledge management in a project-oriented
organization :tree perspective. Knowledge Management, 7(3), 116-128.
18. Leseure M. J., & Brookes N. J. (2004). Knowledge management benchmarks for project
management. Knowledge Management, 8(1), 103-116.
19. Lindner, F., & Wald, A. (2010). Success factors of knowledge management in temporary
organizations. Project Management, 29(7), 877-888.
20. Moffett, S., McAdam, R., & Parkinson, S. (2003). An empirical analysis of knowledge
management applications. Journal of Knowledge Management, 7(3), 6-26.
21. Organizational Project Management Maturity Model (OPM3). (2003). Project
Management Institute (PMI).
22. Ryan, S. D., & Prybutok, V. R. (2001). Factors affecting knowledge management
technologies: a discriminative approach. Computer Information Systems, 41(3), 31-7.
23. Schindler, M., & Eppler, M. (2003). Harvesting project knowledge: a review of project
learning methods and success factors. International Journal of Project Management, l2(3),
219–228.
24. Singh, M .D., & Kant, R. (2008). Knowledge management barriers: An interpretive
structural modeling approach. International Journal of Management Science and
Engineering Management, 3(2), 141-150.
25. Vittal, A., & Shivraj, k. (2008). Role of IT and KM in improving project management
performance. Information and knowledge management systems, 38(3), 357-369.
26. Yeh, Y. J., Lai, S.Q., & Ho, C. T. (2006). Knowledge management enablers: a case study.
Industrial Management & Data Systems, 106(6), 793-810.

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Ajmal, M., Helo, P., & Kekale, T. (2010). Critical factors for knowledge management in
project business. Knowledge Management, 14(1), 156_168.
2. Ajmal, M., Kekale, T., & Takala, J. (2009). Cultural impacts on knowledge management
and learning in project-based firms. Information and knowledge management systems,
39(4), 339-352.
3. Akhavan, P., & Bagheri, R. (2009). Knowledge Management. Tehran: Ati Negar.
4. Akhavan, P., & Jafari, M. (2006). Critical Issuse for Knowledge Management
Implementation at a National Level. Information and knowledge management systems,
36(1), 52-66.
5. Allameh, M., & Zamani, M. (2011). The Relationship between Organizational Culture
and Knowledge management. Procedia Computer Science, 3, 1224–1236.
6. Astrid, H., & Peter, B. (2005). When knowledge management meets HR strategy: an
exploration of personalization-retention and codification-recruitment configurations.
Human Resource Management, 16(11), 55-75.
7. Boh, W. F. (2007). Mechanisms for sharing knowledge in project-based organizations.
Information and Organization, 17(1), 27–58.
8. Chandramowli, S., & Transue. M. (2011). Analysis of barriers to development in landfill
communities using interpretive structural modeling. Habitat International, 35(2), 246_253.
9. Chua, A., & Lam, W. (2005). Why KM projects fail: a multi-case analysis. Knowledge
Management, 9(3), 6-17.
10. Davenport, T. H., De Long, D.W., & Beers, M.C. (1998). Successful knowledge
management projects. Sloan Management Review, 39(2), 43-57.
11. Demarest, M. (1997). Understanding knowledge management. Long Range Planning,
30(3), 374–384.
12. Desouza, K., & Evaristo, R. (2003). Global knowledge management strategies. European
Management Journal, 21(1), 62-70.
13. Disterer, G. (2000). Management of project knowledge and experience. Knowledge
Management, 6(5), 512–520.
14. Halawi, L.A., McCarthy, R.V., & Aronson, J.E. (2006). Knowledge management and the
competitive strategy of the firm. The Learning Organization, 13(4), 384-397.
15. Hanisch, B., Lindner, F., Mueller, A., & Wald, A. (2009). Knowledge management in
project environments. Knowledge Management, 13(4),148-160.
16. Jamali, G., & Abaszadeh, M. (2008). Implementation of Interpretive structural modeling
for analysis of competitive strategy. 4th International Strategic Management Conference.
17. Karina S. C., & Heine K. B. (2003). Knowledge management in a project-oriented
organization :tree perspective. Knowledge Management, 7(3), 116-128.
18. Leseure M. J., & Brookes N. J. (2004). Knowledge management benchmarks for project
management. Knowledge Management, 8(1), 103-116.
19. Lindner, F., & Wald, A. (2010). Success factors of knowledge management in temporary
organizations. Project Management, 29(7), 877-888.
20. Moffett, S., McAdam, R., & Parkinson, S. (2003). An empirical analysis of knowledge
management applications. Journal of Knowledge Management, 7(3), 6-26.
21. Organizational Project Management Maturity Model (OPM3). (2003). Project
Management Institute (PMI).
22. Ryan, S. D., & Prybutok, V. R. (2001). Factors affecting knowledge management
technologies: a discriminative approach. Computer Information Systems, 41(3), 31-7.
23. Schindler, M., & Eppler, M. (2003). Harvesting project knowledge: a review of project
learning methods and success factors. International Journal of Project Management, l2(3),
219–228.
24. Singh, M .D., & Kant, R. (2008). Knowledge management barriers: An interpretive
structural modeling approach. International Journal of Management Science and
Engineering Management, 3(2), 141-150.
25. Vittal, A., & Shivraj, k. (2008). Role of IT and KM in improving project management
performance. Information and knowledge management systems, 38(3), 357-369.
26. Yeh, Y. J., Lai, S.Q., & Ho, C. T. (2006). Knowledge management enablers: a case study.
Industrial Management & Data Systems, 106(6), 793-810.