Evaluation of Knowledge Management Levels Based on Multi Criteria Analysis

Mohit Maheshwarkar, N. Sohani

Abstract


For thousands of years, humans have been discussing the meaning of knowledge, what it is to know something, and how people can generate and share new knowledge. It is interesting to consider, that despite the pervasiveness of epistemological discussions throughout history, the world of business has begun to recognize the importance of knowledge as a resource recently, and today, it is considered as a leading driving force behind any organization. Today, organizations are getting involved in more and more knowledge management (KM) activities, out of which performance of knowledge management has acquired prime importance. The performance evaluation of knowledge management is a scientific evaluation of the effectiveness of organizing knowledge management activity. In present research work, evaluation of knowledge management levels based on multi criteria analysis is proposed by the candidate. For this purpose, different Multi criteria analysis (MCA) techniques, Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and Višekriterijumsko Kompromisno Rangiranje or Compromise Ranking (VIKOR), are used for evaluation of alternatives. For the purpose hidden variable identification for a set of KM evaluation criteria, a well known multivariate technique Principal Component Analysis (PCA) is also used.


Keywords


Knowledge Management (KM); Multi criteria analysis (MCA; Analytical Hierarchy Process (AHP); Simple Additive Weighting (SAW); TOPSIS (Technique for Order Preference by Similarity to Ideal Solution); Višekriterijumsko Kompromisno Rangiranje or Compromise R

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References


Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511-515.

Bamgboje- Ayodele, A., & Ellis, L. (2015). Knowledge Management and the Nigerian Culture–A round peg in a square hole? The African Journal of Information Systems, 7(1), 1.

Bhatt, G. D. (2001). Knowledge management in organizations: Examining the interaction between technologies, techniques and people. Journal of Knowledge Managemen, 5(1), 68-75.

Binney, D. (2001). The knowledge management spectrum - Understanding the KM landscape. Journal of Knowledge Management, 5(1), 33-42.

Buchholz, T., Rametsteiner, E., Volk, T. A., & Luzadis, V. A. (2009). Multi criteria analysis for bioenergy systems assessments. Energy Policy, 37(2), 484-495.

Cao, M., Fan, J. J., Lü, H. P., & Chen, J. L. (2010, June). Evaluation of enterprise knowledge management performance based on gap analysis. In Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on (pp. 894-897). IEEE.

Chawla, D., & Joshi, H. (2010). Knowledge management initiatives in Indian public and private sector organizations. Journal of Knowledge Management, 14(6), 811-

827.

Davenport, T. H., De Long, D. W., & Beers, M. C. (1998). Successful knowledge management projects. Sloan Management Review, 39(2), 43-57.

Girard, J., & Girard, J. (2015). Defining knowledge management: Toward an applied compendium. Online Journal of Applied Knowledge Management, 3(1), 1-20.

Guilford, J. P. (1954). Psychometric methods (2nd ed.). McGraw Hills. NY.

Holder, R. D. (1991). Response to Holder’s comments on the analytic hierarchy process: Response to the response. Journal of the Operational Research Society, 914-

918.

Hsieh, P. J., Lin, B., & Lin, C. (2009). The construction and application of knowledge navigator model (KNM™): An evaluation of knowledge management maturity. Expert Systems With Applications, 36(2), 4087-4100.

Hubert, C., & Lemons, D. (2010). APQC’s levels of knowledge management maturity. Retrieved 2015, July 3 from http:// www.apqc.org

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications, a state of the art survey. Sprinnger-Verlag, New York, NY.

Ilin, A., & Raiko, T. (2010). Practical approaches to principal component analysis in the presence of missing values. The Journal of Machine Learning Research, 11, 1957-

2000.

Khatibian, N., Hasan gholoi pour, T., & Abedi Jafari, H. (2010). Measurement of knowledge management maturity level within organizations. Business Strategy Series, 11(1), 54-70.

Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.

Levett, G. P., & Guenov, M. D. (2000). A methodology for knowledge management implementation. Journal of Knowledge Management, 4(3), 258-270.

Linkov, I., Wenning, R. J., & Kiker, G. A. (2007). Managing critical infrastructure risks (pp.445-469). Springer: Springer Science & Business Media.

Lorenzo-Seva, U. (2013). How to report the percentage of explained common variance in exploratory factor analysis. Retrievceed from http://psico. fcep. urv. Es/utilitats/factor/documentation/Percentage_of_explained_common_variance. pdf

Meihami, B., & Meihami, H. (2014). Knowledge management a way to gain a competitive advantage in firms (evidence of manufacturing companies). International Letters of Social and Humanistic Sciences, (03), 80-91.

Minonne, C., & Turner, G. (2009). Evaluating knowledge management performance. Electronic Journal of Knowledge Management, 7(5), 583 – 592.

Mohanty, S., & Chand, M. (2005). 5iKM3 knowledge management maturity model. Tata Consulting Services White Paper. Retrieved from http://www.tcs.com/NAndI/default1.aspx

Niu, D., & Li, J. (2010). Evaluation on the level of generation enterprise knowledge management based on AHP and gray relational analysis. In IEEE International

Conference.

Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.

Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514-

529.

Paliszkiewicz, J. (2007). Knowledge management: An integrative view and empirical examination. Cybernetics and Systems: An International Journal, 38(8), 825-

836.

Pee, L.G. and Kankanhalli, A. (2009). A model of organisational knowledge management maturity based on people, process, and technology. Journal of information & knowledge management, 8(2) 79-99.

Pinkscan Assesment Report. (2012). Pink Elephant Inc., University of Alaska Office of Information Technology.

Poh, P., & Wee, Y. G. (2004). Improving Supply Chain Performance Through Strategic Knowledge Management. Business Briefing Global Purchasing and Supply Chain Strategies, 1-4.

Recchia, L., Boncinelli, P., Cini, E., Vieri, M., Pegna, F. G., & Sarri, D. (2011). Multicriteria analysis and LCA techniques: With applications to agro-engineering problems. Springer Science & Business Media.

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281.

Saaty, T.L. (1980). The analytic hierarchy process. McGraw Hill, New York.

Siemens (2004). Knowledge management maturity model (KMMM). Retrieved 2014, November 23 from http://www.w4.siemens.de/ct/en/technologies/ic/beispiele/kmmm.html

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.

Storey, J., & Barnett, E. (2000). Knowledge management initiatives: Learning from future. Journal of Knowledge Management, 4(2), 145-156.

Tissayakorn, K., Akagi, F., & Song, Y. (2013). A Model of organization knowledge management maturity. International Journal of Bioscience, Biochemistry and Bioinformatics, 3(6), 614.

Tiwana, A. (2002). The Knowledge management toolkit: Orchestrating IT, Strategy and knowledge platforms. Pearson Education India.

Tong, Y. (2009, December). Summary research of risk identification in the process of knowledge management (pp.210-213). In Future Information Technology and Management Engineering, 2009. FITME’09. Second International Conference on. IEEE.

Tong, Z. H., Chen, P., & Yao, W. (2011, September). Research on the evaluation of enterprise knowledge integration capability based on Fussy-GRNN (pp.347-351). In Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18th International Conference on. IEEE.

Vanini, U., & Bochert, S. (2014). An empirical investigation of maturity levels in knowledge management. Electronic Journal of Knowledge Management, 12(4), 221- 231.

Wang, X., Cao, X., & Zhang, X. H. (2011, September). Knowledge management performance evaluation based on triangular fuzzy number and the theory of knowledge cycle (pp.323-328). In Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18th International Conference on. IEEE.

Wenzhi, P. (2010, August). Research on the evaluation of knowledge management performance of enterprise (Vol.2, pp.68-71). In Information Science and Management Engineering (ISME), 2010 International Conference of. IEEE.

Wu, Y. L., Wang, X., & Wu, H. S. (2009, May). Research on the performance measurement of knowledge management based on principal component analysis (pp.1-4). In Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on. IEEE.

Zhu, X. Y., & Wu, Y. L. (2010, May). Research on the evaluation method for enterprise knowledge management performance based on triangular fuzzy number (pp.1911-1914). In E-Business and E-Government (ICEE), 2010 International Conference on. IEEE.




DOI: http://dx.doi.org/10.3968/n

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