مدل نظری و عملیاتی ممیزی دانش در سازمان های پروژه محور

نویسندگان
فاطمه نویدی 1
محمد حسن زاده 2
یزدان منصوریان 3
1 پژوهشگاه فضایی ایران
2 دانشگاه تربیت مدرس
3 دانشگاه چالرز استوارت
چکیده
زمینه و هدف. با توجه به نقش اساسی مدیریت دانش در سازمان­های پروژه­ محور و با در نظر گرفتن ممیزی دانش به عنوان مهم­ترین گام تأمین، نگهداری و به ­هنگام­ سازی محتوای نظام­های مدیریت دانش؛ هدف از پژوهش حاضر، تدوین مدل مناسب ممیزی دانش با توجه به نیازها، الزامات و مؤلفه­ های ممیزی دانش در این نوع سازمان­هاست.

روش. پژوهش حاضر، پژوهشی کاربردی با رویکردی آمیخته (کمّی و کیفی) است که به روش مطالعه اسنادی، مطالعه اکتشافی، پیمایش، و تکنیک تحلیل عاملی و تحلیل مضمون به ارائه یک مدل ممیزی دانش وزن­ دهی شده بر اساس الزامات سازمان­های پروژه­ محور پرداخته است. جامعه آماری این پژوهش به منظور گردآوری داده­ های کیفی شامل 13 نفر از خبرگان حوزه مدیریت دانش و جامعه آماری داده­ های کمی شامل 220 نفر از مدیران پروژه، کنترل پروژه و مدیریت دانش چهار پژوهشگاه پروژه ­محور شامل پژوهشگاه ارتباطات و فناوری اطلاعات، پژوهشگاه صنعت نفت، پژوهشگاه نیرو و پژوهشگاه فضایی ایران بودند که به صورت تصادفی انتخاب شدند.

یافته­ ها. پنج مؤلفه ممیزی دانش شناسایی شده شامل تحلیل نیاز دانش، تحلیل موجودی دانش، ارزش­ گذاری دانش، تحلیل جریان دانش و تحلیل کاربست دانش، سازه نهایی مدل ممیزی دانش در سازمان­های پروژه ­محور را شکل می­ دهند که در این بین، مؤلفه ارزش­ گذاری دانش با بار عاملی 0.90 از بیشترین اهمیت برخوردار است.

نتیجه­ گیری. 5 مؤلفه و 54 زیرمؤلفه ممیزی دانش به دست آمده در این پژوهش دارای بار عاملی خیلی مطلوب بوده و در مدل ممیزی دانش در سازمان­های پروژه­ محور تأثیرگذار هستند و مدل نهایی ارائه شده از برازندگی خوبی برخوردار است.
کلیدواژه‌ها
ممیزی دانش
مؤلفه های ممیزی دانش
مدل ممیزی دانش
سازمان های پروژه محور

عنوان مقاله English

Developing a Theoretical and Operational Knowledge Audit Model for Project- Based Organizations

نویسندگان English

Fatemeh Navidi 1
Mohammad Hasanzadeh 2
Yazdan Mansourian 3
3 Charls Stuart University
چکیده English

Background/aim. Considering the underlying role played by knowledge management in project-based organizations; and, the fact that knowledge audit is the most important step in supplying, maintaining and updating the content of knowledge management systems; this research effort is aimed at designing an appropriate knowledge audit model based on the requirements and factors of knowledge audit in project-based organizations.

Methodology.This research is an applied research with a mixed-methods approach (both quantitative and qualitative). To be more exact, several methods such as documentary study method, exploratory study method, the survey method, factor analysis and thematic analysis were employed to establish a weighted knowledge audit model based on the requirements, associated with project- based organizations.The statistical population of this study for collecting qualitative data were 13 experts of knowledge management and the statistical population of collecting quantitative data were 220 project managers, project control experts and knowledge managers from 4 project-based organizations (ICT Research Institute, Research Institute of Petroleum Industry, Niroo Research Institute; and, Iranian Space Research Center).

Findings. The findings of this analysis demonstrate that all five factors of knowledge audit in project- based organizations constitute the final structural model for knowledge audit, and the appropriate knowledge audit model for project-based organizations includes five factors: (1) knowledge need analysis; (2) knowledge inventory analysis; (3) knowledge valuation, (4) knowledge flow analysis; and, (5) knowledge application analysis. Among these factors, knowledge valuation with its factor loading of 0.9 is the most important factor.

Conclusion. 5 factors and 54 subfactors of Knowledge audit have highly-desired factor loading values and exert impact within the knowledge audit model for project-based organizations. Moreover, the final model displays a fair goodness-of-fit.

کلیدواژه‌ها English

Knowledge audit
knowledge audit factors
Knowledge audit model
Project- based organization
Burnett, S., Illingworth, L., & Webster, L. (2004). Knowledge auditing and mapping: a pragmatic approach. Knowledge and Process Management, 11(1), 25–37. Retrieved from http://doi.org/10.1002/kpm.194, Accessed: 95.02.26.
Cheung, C. F., Choy, S. Y., & Lee, W. B. (2004). A Systematic Approach for Knowledge Audit Analysis: Integration of Knowledge Inventory, Mapping and Knowledge Flow Analysis. JUCS - Journal of Universal Computer Science, (6). Retrieved from http://doi.org/10.3217/jucs-010-06-0674, Accessed: 94.06.22.
Cheung, C. F., Li, M. L., Shek, W. Y., Lee, W. B., & Tsang, T. S. (2007). A systematic approach for knowledge auditing: a case study in transportation sector. Journal of Knowledge Management, 11(4), 140–158. Retrieved from http://doi.org/10.1108/13673270710762774, Accessed: 94.12.23.
Chowdhury, N. (n.d.). knowledge audit: overview and sample questionnaire. Retrieved from http://203.157.7.7/KM/upload_file/data1/Knowledge%20Audit01.pdf, Accessed: 94.11.26.
Debenham, J., & Clark, J. (1994). The knowledge audit. Robotics and Computer Integrated Manufacturing Journal, 11(3), pp. 201– 211, Retrieved from http://www.sciencedirect.com/science/article/pii/0736584594900353, Accessed: 94.10.23.
Drus, S. M., & Shariff, S. S. (2011). Analysis of Knowledge Audit Models via Life Cycle Approach (Vol. 16, pp. p. 176–180). Presented at the 2011 International Conference on Information Communication and Management, Singapore: IPCSIT. Retrieved from http://www.ipcsit.com/vol16/33-ICICM2011M2008.pdf, Accessed: 95.04.01
Fai, C. C., Chin, K. K., Fu, C. K., & Bun, L. W. (2005). Systematic Knowledge Auditing With Applications. Journal of Knowledge Management Practice. Retrieved from http://www.tlainc.com/articl97.htm, Accessed: 95.03.08
Ganasan, A., & Dominic P, D. D. (2011). Knowledge audit made comprehensive thru 6 stages (pp. 1–6). IEEE. Retrieved from http://doi.org/10.1109/ICRIIS.2011.6125730, Accessed: 94.07.28.
Gourova, E., Antonova, A., & Todorova, Y. (2009). Knowledge audit concepts, processes and practice. WSEAS Transactions on Business and Economics, Retrieved from http://www.wseas.us/e-library/transactions/economics/2009/89-116.pdf 6(12), 605– 619, Accessed: 94.06.21.
Gourova, E., Atanassova, P., & Todorova, Y. (2011). knowledge audit tools. Retrieved from http://www.hillside.net/europlop/europlop2011/submission/shepherd.cgi?token=660665c6e0ade61f363ed924a0f9fdb828b5bf47&action=download&label=1309772928_37, Accessed: 95.04.14.
Gourova, E., & Todorova, Y. (2010). Knowledge audit data gathering and analysis (p. 1). ACM Press. Retrieved from http://doi.org/10.1145/2328909.2328927, Accessed: 94.06.16.
Gourova, E., Toteva, K., & Todorova, Y. (2012). Audit of knowledge flows and critical business processes (pp. 1–10). ACM Press. Retrieved from http://doi.org/10.1145/2602928.2603077, Accessed: 94.08.10.
Hylton, A. (2002). A KM initiative is unlikely to succeed without a knowledge audit. KnowledgeBoard. Com, 19. Retrieved from http://doi.org/http://www.providersedge.com/docs/km_articles/km_initiative_unlikely_to_succeed_without_a_k_audit.pdf, Accessed: 94.06.27.
Hylton, A. (2005). The knowledge audit is first and foremost an audit, Retrieved from http://www.annhylton.com/, Accessed: 94/05/10.
Hylton, A. (2008). KM readiness assessment is essential in a KM and knowledge audit initiative. Retrieved from http://hosteddocs.ittoolbox.com/ah100708.pdf, Accessed: 94.11.16.
Jafari, A., & Payani, N. (2013). A systematic approach for knowledge auditing. African Journal of Business Management, 7(32), 3159–3167. https://doi.org/10.5897/AJBM11.819, Accessed: 95.11.03.urinjak, I., & Kliček, B. (2008).
Kumar, A. (2013). Knowledge Audit: Its Learning Lessons. SSRN Electronic Journal. Retrieved from http://doi.org/10.2139/ssrn.2319723, Accessed: 94.11.18.
Lee, W. B., Shek, V., & Cheung, B. (2007). Auditing and Mapping the Knowledge Assets of Business Processes – An Empirical Study. In Z. Zhang & J. Siekmann (Eds.), Knowledge Science, Engineering and Management (Vol. 4798, pp. 11–16). Berlin, Heidelberg: Springer Berlin Heidelberg. Retrieved from http://link.springer.com/10.1007/978-3-540-76719-0_4, Accessed: 94.08.27.
Levantakis, T., Helms, R., & Spruit, M. (2008). Developing a Reference Method for Knowledge Auditing. In T. Yamaguchi (Ed.), Practical Aspects of Knowledge Management (Vol. 5345, pp. 147–159). Berlin, Heidelberg: Springer Berlin Heidelberg. Retrieved from http://link.springer.com/10.1007/978-3-540-89447-6_15, Accessed:94.06.29.
Levy, M., Hadar, I., Greenspan, S., & Hadar, E. (2010). Uncovering cultural perceptions and barriers during knowledge audit. Journal of Knowledge Management, 14(1), 114–127. Retrieved from http://doi.org/10.1108/13673271011015606, Accessed: 94.10.12.
Liebowitz, J. (2005). Linking social network analysis with the analytic hierarchy process for knowledge mapping in organizations. Journal of Knowledge Management, 9(1), 76–86. Retrieved from http://doi.org/10.1108/13673270510582974, Accessed: 95.04.08.
Liebowitz, J., Rubenstein-Montano, B., McCaw, D., Buchwalter, J., Browning, C., Newman, B., & Rebeck, K. (2000). The knowledge audit. Knowledge and Process Management, 7(1), 3–10. Retrieved from http://doi.org/10.1002/(SICI)1099-1441(200001/03)7:1<3::AID-KPM72>3.0.CO;2-0, Accessed: 94.10.19.
Perez-Soltero, A., Barcelo-Valenzuela, M., Sanchez-Schmitz, G., Martin-Rubio, F., Palma-Mendez, J. T., & Vanti, A. A. (2007). A model and methodology to knowledge auditing considering core processes. ICFAI Journal of Knowledge Management, 5(1), 7– 23, Retrieved from http://aperez.mx/Knowledge_Audit_ICFAI2007.pdf Accessed: 94.06.21.
Serrat, O. (2009). Learning Lessons with Knowledge Audits. Knowledge Solutions, (51), 14. Retrieved from http://www.adb.org/sites/default/files/publication/27606/learning-lessons-knowledge-audits.pdf, Accessed: 95.04.10.
Sharma, R., & Chowdhury, N. (2007). On The Use Of A Diagnostic Tool For Knowledge Audits. Journal of Knowledge Management Practice, 8(4). Retrieved from http://www.tlainc.com/articl145.htm, Accessed: 94.12.04.
Suo, B., Wang, J., Dong, F., & Zhao, Z. (2008). The fuzzy evaluation on enterprise knowledge management capability based on knowledge audit (pp. 792–796). IEEE. Retrieved from http://doi.org/10.1109/SOLI.2008.4686506, Accessed: 94.10.27.
Suo, B., Wang, J., & Zhang, H. (2009). Primarily Research on Knowledge Audit for Evaluating Enterprise Knowledge Management Capability (pp. 1–5). IEEE. Retrieved from http://doi.org/10.1109/ICMSS.2009.5302226, Accessed: 94.09.26.
Wang, J., & Xiao, J. (2009). Knowledge management audit framework and methodology based on processes. Journal of Technology Management in China, 4(3), 239–249. Retrieved from http://doi.org/10.1108/17468770911013546, Accessed: 94.06.28.
Wu, Y.-L., & Li, Y.-H. (2008). Research on the Model of Knowledge Audit (pp. 1–4). IEEE. Retrieved from http://doi.org/10.1109/WiCom.2008.2667, Accessed: 94.06.28.
تعامل انسان و اطلاعات
دوره 5، شماره 3
پاییز 1397
صفحه 75-90