Evaluating the Knowledge Management Practices in State Welfare Organization (Behzisti): Application of Fuzzy MCDM Approach
This study aims to evaluate the most important knowledge management practices in Behzisti organizations through integrating fuzzy set theory with both qualitative and quantitative approaches. The most important criteria for the evaluation of knowledge management practices are gathered through the literature survey. This study suggests a model based on fuzzy multiple criteria decision making, including the fuzzy Delphi method and fuzzy analytic hierarchy process (FAHP). In the fuzzy Delphi method step of the study, 21 practices were selected from among a total of 74 knowledge management practices and categorized from four perspectives. The fuzzy analytic hierarchy process was used for the ranking of knowledge management practices in three Behzisti organizations. Results of this study indicated that the information technology infrastructure from a technological perspective was ranked as the first most important factor and human resource management from organizational perspective as the second.
Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals. International journal of medical informatics, 84(3), 166-188.
Ahmed, P. K., Lim, K. K., & Zairi, M. (1999). Measurement practice for knowledge management. Journal of Workplace Learning, 11, 304-311.
Ajmal, M., Helo, P., & Kekäle, T. (2010). Critical factors for knowledge management in project business. Journal of Knowledge Management, 14, 156-168.
Akhavan, P., & Jafari, M. (2006). Critical issues for knowledge management implementation at a national level. VINE, 36, 52-66.
Akhavan, P., Hosnavi, R., & Sanjaghi, M. E. (2009). Identification of knowledge management critical success factors in Iranian academic research centers. Education, Business and Society: Contemporary Middle Eastern Issues, 2, 276-288.
Akhavan, P., Jafari, M., & Fathian, M. (2006). Critical success factors of knowledge management systems: a multi-case analysis. European business review, 18, 97-113.
Akkermans, H. A., Bogerd, P., Yücesan, E., & Van Wassenhove, L. N. (2003). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of Operational Research, 146, 284-301.
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. Mis Quarterly, 107-136.
Al-Mabrouk, K. (2006). Critical success factors affecting knowledge management adoption: A review of the literature. In Innovations in Information Technology, 2006 (pp. 1-6): IEEE.
Alsadhan, A. O., Zairi, M., & Keoy, K. H. A. (2008). From P Economy to K Economy: An empirical study on knowledge-based quality factors. Total Quality Management, 19, 807-825.
Anantatmula, V. S., & Kanungo, S. (2010). Modeling enablers for successful KM implementation. Journal of Knowledge Management, 14, 100-113.
Anderson, T., Liam, R., Garrison, D. R., & Archer, W. (2001). Assessing teacher presence in a computer conferencing context.
APQC. (1999). Knowledge Management: Executive Summary. Consortium Benchmarking
Artail, H. A. (2006). Application of KM measures to the impact of a specialized groupware system on corporate productivity and operations. Information & Management, 43, 551-564.
Banerjee, G. (2008). Adaptive fuzzy cognitive maps vs neutrosophic cognitive maps: decision support tool for knowledge based institutions. Journal of scientific & industrial research, 67, 665-673.
Basu, B., & Sengupta, K. (2007). Assessing Success Factors of Knowledge Management Initiatives of Academic Institutions--a Case of an Indian Business School. Electronic Journal of Knowledge Management, 5.
Becerra-Fernandez, I., & Sabherwal, R. (2001). Organizational knowledge management: A contingency perspective. Journal of management information systems, 18, 23-56.
Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17, B-141-B-164.
Berawi, M., & Woodhead, R. (2005). Application of knowledge management in production management. Human Factors and Ergonomics in Manufacturing & Service Industries, 15, 249-257.
Bhardwaj, K. K. (2000). Knowledge Management: A Learning Perspective At NIIT. JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH, 59, 683-688.
Bhatt, G. D. (2000). Organizing knowledge in the knowledge development cycle. Journal of Knowledge Management, 4, 15-26.
Binney, D. (2001). The knowledge management spectrum–understanding the KM landscape. Journal of knowledge management, 5, 33-42.
Boender, C., De Graan, J., & Lootsma, F. (1989). Multi-criteria decision analysis with fuzzy pairwise comparisons. Fuzzy sets and systems, 29, 133-143.
Buckley, J. J. (1985a). Fuzzy hierarchical analysis. Fuzzy sets and systems, 17, 233-247.
Buckley, J. J. (1985b). Ranking alternatives using fuzzy numbers. Fuzzy sets and systems, 15, 21-31.
Buckman, R. (1999). Collaborative knowledge. Human resource planning, 22, 22-33.
Cebeci, U., & Ruan, D. (2007). A multi-attribute comparison of Turkish quality consultants by fuzzy AHP. International Journal of Information Technology & Decision Making, 6, 191-207.
Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649-655.
Chang, N.-B., Chen, H.-W., & Ning, S.-K. (2001). Identification of river water quality using the fuzzy synthetic evaluation approach. Journal of Environmental Management, 63, 293-305.
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.
Chen, C.-J., & Huang, J.-W. (2009). Strategic human resource practices and innovation performance—The mediating role of knowledge management capacity. Journal of Business Research, 62, 104-114.
Chen, L., & Mohamed, S. (2008). Contribution of knowledge management activities to organisational business performance. Journal of Engineering, Design and Technology, 6, 269-285.
Chen, M.-F., Tzeng, G.-H., & Tang, T.-I. (2005). Fuzzy MCDM approach for evaluation of expatriate assignments. International Journal of Information Technology & Decision Making, 4, 277-296.
Chen, M.-Y., & Chen, C.-C. (2011). Options analysis and knowledge management: Implications for theory and practice. Information sciences, 181, 3861-3877.
Chin-Loy, C., & Mujtaba, B. (2007). Organizational Learning and Knowledge. In: BG Mujtaba; Workforce Diversity Management: Challenges, Competencies and Strategies. Llumina Press.
Choi, Y. S. (2000). An empirical study of factors affecting successful implementation of knowledge management.
Chong, S. C. (2006). KM critical success factors: a comparison of perceived importance versus implementation in Malaysian ICT companies. Learning Organization, The, 13, 230-256.
Chong, S. C., & Choi, Y. S. (2005). Critical factors in the successful implementation of knowledge management. Journal of Knowledge Management Practice, 6, 1-21.
Choudhury, S. R. (2000). Knowledge Management At Shop Floor Level in Japanese Multinationals-A Case Study of Honda and Sanyo and Their Joint Ventures in India. Journal of Scientific and Industrial Research, 59, 720-731.
Civi, E. (2000). Knowledge management as a competitive asset: a review. Marketing Intelligence & Planning, 18, 166-174.
Cohen, S. L., & Backer, N. K. (1999). Making and Mining Intellectual Capital: Method or Madness? Training and Development, 53, 46-50.
Corso, M., Martini, A., Pellegrini, L., & Paolucci, E. (2003). Technological and organizational tools for knowledge management: in search of configurations. Small business economics, 21, 397-408.
Cristina, T. M. (2009). CRITICAL FACTORS TO KNOWLEDGE MANAGEMENT
Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management science, 9, 458-467.
Dalvi-Esfahani, M., Ramayah, T., & Nilashi, M. (2017). Modelling upper echelons’ behavioural drivers of Green IT/IS adoption using an integrated Interpretive Structural Modelling–Analytic Network Process approach. Telematics and Informatics, 34(2), 583-603.
Datta, A. (2000). Knowledge management in a consulting engineering company in the process industry. JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH, 59, 741-748.
Davenport, T. H. (1998). Successful knowledge management projects. Sloan Management Review.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: Managing what your organization knows. Harvard Business School Press, Boston, MA.
Delen, D., Zaim, H., Kuzey, C., & Zaim, S. (2013). A comparative analysis of machine learning systems for measuring the impact of knowledge management practices. Decision Support Systems, 54, 1150-1160.
Ebrahimi, M., Bushehr, I., Abbaszadeh, M. A., & Fotouhi, H. (2010). Developing a causal model of critical success factors for knowledge management implementation. International Conference on Education and Management Technology, 701-705.
Ergazakis, K., Karnezis, K., Metaxiotis, K., & Psarras, I. (2005). Knowledge management in enterprises: a research agenda. Intelligent systems in accounting, finance and management, 13, 17-26.
Farzin, M. R., Kahreh, M. S., Hesan, M., & Khalouei, A. (2014). A Survey of Critical Success Factors for Strategic Knowledge Management Implementation: Applications for Service Sector. Procedia-Social and Behavioral Sciences, 109, 595-599.
Fong, P. S., & Choi, S. K. (2009). The processes of knowledge management in professional services firms in the construction industry: a critical assessment of both theory and practice. Journal of Knowledge Management, 13, 110-126.
Garai, A. (2013). Weighted intuitionistic fuzzy Delphi method. Journal of Global Research in Computer Science, 4, 38-42.
Garrido-Moreno, A., & Padilla-Meléndez, A. (2011). Analyzing the impact of knowledge management on CRM success: The mediating effects of organizational factors. International Journal of Information Management, 31, 437-444.
Geraint, J. (1998). Share strength: developing a culture of knowledge sharing. People Management, 4, 44-47.
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: an organizational capabilities perspective. J. of Management Information Systems, 18, 185-214.
Greco, J. (1999). Knowledge is power. Journal of Business Strategy, 20, 19-22.
Greengard, S. (1998). Going for distance. Industry week, 247, 22-29.
Gumus, A. T. (2009). Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Systems with Applications, 36, 4067-4074.
Gupta, B., Iyer, L. S., & Aronson, J. E. (2000). A study of knowledge management practices using grounded theory approach. Journal of Scientific and Industrial Research, 59, 668-672.
Haas, M. R. (2002). Acting on what others know: Distributed knowledge and team performance. Harvard University.
Hall, H. (2001). Input-friendliness: motivating knowledge sharing across intranets. Journal of information science, 27, 139-146.
Hasan, S., Pal, A., Dhawan, S., & Luthra, R. (2008). Contribution of Human Resource Development Group (CSIR) towards knowledge sharing in India: State-wise performance analysis. Journal of Scientific and Industrial Research, 67, 117.
Hasan, S., Pal, A., Dhawan, S., & Luthra, R. (2008). Role of Indian educational and R & D institutions in knowledge sharing. Journal of Scientific and Industrial Research, 67, 589.
Hassan, S., & Al-Hakim, L. A. Y. (2011). The Relationships among Critical success factors of Knowledge Management, Innovation and Organizational Performance: A Conceptual Framework. International Proceedings of Economics Development & Research, 6.
Heisig, P. (2009). Harmonisation of knowledge management–comparing 160 KM frameworks around the globe. Journal of Knowledge Management, 13, 4-31.
Heras Saizarbitoria, I. (2006). How quality management models influence company results–conclusions of an empirical study based on the Delphi method. Total Quality Management & Business Excellence, 17, 775-794.
Hickins, M. (2000). Xerox shares its knowledge: Butterworth-Heinemann, Woburn, UK.
Hirai, C., Uchida, Y., & Fujinami, T. (2007). A knowledge management system for dynamic organizational knowledge circulation. International Journal of Information Technology & Decision Making, 6, 509-522.
Hlupic, V., Pouloudi, A., & Rzevski, G. (2002). Towards an integrated approach to knowledge management:‘hard’,‘soft’and ‘abstract’issues. Knowledge and Process Management, 9, 90-102.
Holsapple, C. W., & Joshi, K. D. (2001). Organizational knowledge resources. Decision Support Systems, 31, 39-54.
Hori, K. (2000). An ontology of strategic knowledge: key concepts and applications. Knowledge-Based Systems, 13, 369-374.
Hsieh, C.-t., Yang, H., & Lin, B. (2002). Roles of knowledge management in online procurement systems. Industrial Management & Data Systems, 102, 365-370.
Hsieh, T.-Y., Lu, S.-T., & Tzeng, G.-H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22, 573-584.
Huang, G., Baetz, B., Patry, G., & Terluk, V. (1997). Capacity planning for an integrated waste management system under uncertainty: a North American case study. Waste Management & Research, 15, 523-546.
Huang, L.-S., & Lai, C.-P. (2012). An investigation on critical success factors for knowledge management using structural equation modeling. Procedia-Social and Behavioral Sciences, 40, 24-30.
Huang, S.-J., Wu, M.-S., & Chen, L.-W. (2013). Critical success factors in aligning IT and business objectives: A Delphi study. Total Quality Management & Business Excellence, 24, 1219-1240.
Hung, Y.-C., Huang, S.-M., & Lin, Q.-P. (2005). Critical factors in adopting a knowledge management system for the pharmaceutical industry. Industrial Management & Data Systems, 105, 164-183.
IMPLEMENTATION. The International Conference on Economics and Administration, 817-823.
Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets and systems, 55, 241-253.
Jennex, M. E., & Olfman, L. (2004). Assessing knowledge management success/effectiveness models. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 10 pp.): IEEE.
Jennex, M. E., Smolnik, S., & Croasdell, D. T. (2009). Towards a consensus knowledge management success definition. VINE, 39, 174-188.
Jennex, M., & Zakharova, I. (2005). Knowledge management critical success factors. Management. com. ua.
Jiacheng, W., Lu, L., & Francesco, C. A. (2010). A cognitive model of intra-organizational knowledge-sharing motivations in the view of cross-culture. International Journal of Information Management, 30, 220-230.
Kazemi, M., & Allahyari, M. Z. (2010). Defining a knowledge management conceptual model by using MADM. Journal of Knowledge Management, 14, 872-890.
Kim, S., & Lee, H. (2006). The Impact of Organizational Context and Information Technology on Employee Knowledge‐Sharing Capabilities. Public Administration Review, 66, 370-385.
Kuo, Y.-F., & Chen, P.-C. (2008). Constructing performance appraisal indicators for mobility of the service industries using Fuzzy Delphi Method. Expert Systems with Applications, 35, 1930-1939.
Lakshman, C. (2006). A theory of leadership for quality: Lessons from TQM for leadership theory 1. Total Quality Management & Business Excellence, 17, 41-60.
Lakshman, C., & Parente, R. C. (2008). Supplier‐Focused Knowledge Management in the Automobile Industry and Its Implications for Product Performance. Journal of Management Studies, 45, 317-342.
Lee, A. H., Kang, H.-Y., & Chang, C.-C. (2011). An integrated interpretive structural modeling–fuzzy analytic network process–benefits, opportunities, costs and risks model for selecting technologies. International Journal of Information Technology & Decision Making, 10, 843-871.
Lee, S., Kim, B. G., & Kim, H. (2012). An integrated view of knowledge management for performance. Journal of Knowledge Management, 16, 183-203.
Liao, C.-N. (2013). A Fuzzy Approach To Business Travel Airline Selection Using An Integrated Ahp-Topsis-Msgp Methodology. International Journal of Information Technology & Decision Making, 12, 119-137.
Liao, S.-h., & Wu, C.-c. (2009). The relationship among knowledge management, organizational learning, and organizational performance. International journal of business and management, 4, P64.
Liebowitz, J. (1999). Knowledge management handbook: CRC press.
Lim, T. T. (2002). Organizational culture and knowledge management. Journal of Information & Knowledge Management, 1, 57-63.
Lin, C. (2013). Application of fuzzy Delphi method (FDM) and fuzzy analytic hierarchy process (FAHP) to criteria weights for fashion design scheme evaluation. International Journal of Clothing Science and Technology, 25, 171-183.
Lindner, F., & Wald, A. (2011). Success factors of knowledge management in temporary organizations. International Journal of Project Management, 29, 877-888.
Lopez‐Cabrales, A., Pérez‐Luño, A., & Cabrera, R. V. (2009). Knowledge as a mediator between HRM practices and innovative activity. Human Resource Management, 48, 485-503.
Luan, J., & Serban, A. M. (2002). Technologies, products, and models supporting knowledge management. New Directions for Institutional Research, 2002, 85-104.
Luxhøj, J. T., Riis, J. O., & Stensballe, B. (1996). A hybrid econometric—neural network modeling approach for sales forecasting. International Journal of Production Economics, 43, 175-192.
Manning, P. (2010). Explaining and developing social capital for knowledge management purposes. Journal of Knowledge Management, 14, 83-99.
Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert Systems with Applications, 42, 4126-4148.
Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja, 28, 516-571.
Mardani, A., Jusoh, A., Zavadskas, E. K., Cavallaro, F., & Khalifah, Z. (2015). Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches. Sustainability, 7, 13947-13984.
Mardani, A., Jusoh, A., Zavadskas, E. K., Kazemilari, M., Ahmad, U. N. U., & Khalifah, Z. (2016). Application of multiple criteria decision making techniques in tourism and hospitality industry: A systematic review. Transformations in Business & Economics, 15, 192-213.
Mardani, A., Jusoh, A., Zavadskas, E. K., Khalifah, Z., & Nor, K. M. (2015). Application of multiple-criteria decision-making techniques and approaches to evaluating of service quality: a systematic review of the literature. Journal of Business Economics and Management, 16, 1034-1068.
Mardani, A., Jusoh, A., Zavadskas, E. K., Zakuan, N., Valipour, A., & Kazemilari, M. (2016). Proposing a new hierarchical framework for the evaluation of quality management practices: a new combined fuzzy hybrid MCDM approach. Journal of Business Economics and Management, 17, 1-16.
Mardani, A., Zavadskas, E. K., Govindan, K., Amat Senin, A., & Jusoh, A. (2016). VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications. Sustainability, 8, 37.
Mardani, A., Zavadskas, E. K., Khalifah, Z., Jusoh, A., & Nor, K. M. (2015). Multiple criteria decision-making techniques in transportation systems: A systematic review of the state of the art literature. Transport, 1-27.
Mardani, A., Zavadskas, E. K., Khalifah, Z., Zakuan, N., Jusoh, A., Nor, K. M., & Khoshnoudi, M. (2017). A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015. Renewable and Sustainable Energy Reviews, 71, 216-256.
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298-1322.
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., Nor, K. M. D., & Khoshnoudi, M. (2016). Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework. Energy, 117, Part 1, 131-148.
Mas-Machuca, M., & Martínez Costa, C. (2012). Exploring critical success factors of knowledge management projects in the consulting sector. Total Quality Management & Business Excellence, 23, 1297-1313.
McCampbell, A. S., Clare, L. M., & Gitters, S. H. (1999). Knowledge management: the new challenge for the 21st century. Journal of Knowledge Management, 3, 172-179.
McCUNE, J. C. (1999). Thirst for knowledge. Management Review, 88, 10-12.
McDermott, R., & O’Dell, C. (2001). Overcoming cultural barriers to sharing knowledge. Journal of knowledge management, 5, 76-85.
Megdadi, Y. A., Al-Sukkar, A. S., & Hammouri, M. A. (2012). Factors and Benefits of Knowledge Management Practices by SMEs in Irbed District of Jordan: An Empirical Study. International Journal of Business and Social Science, 3, 325-331.
Melnyk, S. A., Lummus, R. R., Vokurka, R. J., Burns, L. J., & Sandor, J. (2009). Mapping the future of supply chain management: a Delphi study. International Journal of Production Research, 47, 4629-4653.
Migdadi, M. (2009). Knowledge management enablers and outcomes in the small-and-medium sized enterprises. Industrial Management & Data Systems, 109, 840-858.
Milovanović, S. (2011). Aims and critical success factors of knowledge management system projects. Facta universitatis-series: Economics and Organization, 8, 31-40.
Moffett, S., McAdam, R., & Parkinson, S. (2002). Developing a model for technology and cultural factors in knowledge management: a factor analysis. Knowledge and Process Management, 9, 237-255.
Moffett, S., McAdam, R., & Parkinson, S. (2003). An empirical analysis of knowledge management applications. Journal of knowledge Management, 7, 6-26.
Mohrman, S. A., Cohen, S. G., & Morhman Jr, A. M. (1995). Designing team-based organizations: New forms for knowledge work: Jossey-Bass.
Mollahosseini, A., & Barkhordar, M. (2010). Supplier Knowledge Management For Supplier Development. Review of Business Information Systems, 14.
Moradi, M., Aghaie, A., & Hosseini, M. (2013). Knowledge-collector agents: Applying intelligent agents in marketing decisions with knowledge management approach. Knowledge-Based Systems, 52, 181-193.
Murray, T. J., Pipino, L. L., & van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5, 76-80.
Nguyen, T. N., Truong, Q., & Buyens, D. (2010). THE RELATIONSHIP BETWEEN TRAINING AND FIRM PERFORMANCE: A LITERATURE REVIEW. Research & Practice in Human Resource Management, 18.
Nieto-Morote, A., & Ruz-Vila, F. (2011). A fuzzy AHP multi-criteria decision-making approach applied to combined cooling, heating, and power production systems. International Journal of Information Technology & Decision Making, 10, 497-517.
Nilashi, M., & Ibrahim, O. B. (2014). A model for detecting customer level intentions to purchase in B2C websites using TOPSIS and fuzzy logic rule-based system. Arabian Journal for Science and Engineering, 39(3), 1907-1922.
Nilashi, M., Ahmadi, H., Ahani, A., Ravangard, R., & bin Ibrahim, O. (2016). Determining the importance of hospital information system adoption factors using fuzzy analytic network process (ANP). Technological Forecasting and Social Change, 111, 244-264.
Nilashi, M., Ibrahim, O., Mirabi, V. R., Ebrahimi, L., & Zare, M. (2015). The role of Security, Design and Content factors on customer trust in mobile commerce. Journal of Retailing and Consumer Services, 26, 57-69.
Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M. Z. A., Zin, R. M., Chugtai, M. W., ... & Yakubu, D. A. (2015c). A knowledge-based expert system for assessing the performance level of green buildings. Knowledge-Based Systems, 86, 194-209.
Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M., Zin, R., & Farahmand, M. (2015a). MCPCM: A DEMATEL-ANP-Based Multi-criteria Decision-Making Approach to Evaluate the Critical Success Factors in Construction Projects. Arabian Journal for Science & Engineering (Springer Science & Business Media BV), 40(2).
Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M., Zin, R., & Farahmand, M. (2015b). MCPCM: A DEMATEL-ANP-Based Multi-criteria Decision-Making Approach to Evaluate the Critical Success Factors in Construction Projects. Arabian Journal for Science & Engineering (Springer Science & Business Media BV), 40(2).
O'Brien, R. C. (1995). Employee involvement in performance improvement: a consideration of tacit knowledge, commitment and trust. Employee Relations, 17, 110-120.
Omerzel, D. G. (2010). The impact of knowledge management on SME growth and profitability: a structural equation modelling study. African Journal of Business Management, 4, 3417-3432.
OuYang, Y.-C., Yeh, J.-Y., & Lee, T.-C. (2010). The critical success factors for knowledge management adoption-a review study. In Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on (pp. 445-448): IEEE.
Özdağoğlu, A., & Özdağoğlu, G. (2007). Comparison of AHP and fuzzy AHP for the multi-criteria decision making processes with linguistic evaluations. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 6, 65-85.
Patil, S. K. (2014). A Hybrid Approach based on Fuzzy DEMATEL and FMCDM to Predict Success of Knowledge Management Adoption in Supply Chain. Applied Soft Computing.
Patil, S. K., & Kant, R. (2014a). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with Applications, 41, 679-693.
Patil, S. K., & Kant, R. (2014b). Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach. International Journal of Business Performance and Supply Chain Modelling, 6, 75-93.
Perumal, V., & Woods, P. C. (2007). The Need for Knowledge Management in the Malaysian Film Industry: A Case Study. Journal of Information & Knowledge Management, 6, 173-180.
Phatak, A. (2000). Knowledge Management-Converting Expertise into Processes and Systems: Lessons from the Mature Industry. Journal of scientific and industrial research, 59, 738-740.
Phillips, A. (1994). Creating space in the learning company. Towards the Learning Company: Concepts and Practices, 98-109.
Ramezani, A., Fathain, M., & Tajdin, A. (2013). Investigating Critical success factors of knowledge management in research organizations: a case study concerning one of the research organizations of Iran. Education, Business and Society: Contemporary Middle Eastern Issues, 6, 3-3.
Ryan, S. D., & Prybutok, V. R. (2001). Factors affecting the adoption of knowledge management technologies: a discriminative approach. Journal of Computer Information Systems, 41, 31-37.
Saaty, T. L. (1999). Decision making for leaders: the analytic hierarchy process for decisions in a complex world (Vol. 2): RWS publications.
Sackman, H. (1974). Delphi assessment: Expert opinion, forecasting, and group process. In: DTIC Document.
Scholl, W., König, C., Meyer, B., & Heisig, P. (2004). The future of knowledge management: an international Delphi study. Journal of knowledge management, 8, 19-35.
Seethamraju, R. (2000). Knowledge management issues in the management of professional engineers. JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH, 59, 710-719.
Sharma, S. (2000). Total Knowledge Management (TKM): Enhancing Competitiveness through Knowledge Management Systems. JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH, 59, 673-682.
Shaverdi, M., Akbari, M., & Tafti, S. F. (2011). Combining fuzzy MCDM with BSC approach in performance evaluation of Iranian private banking sector. Advances in fuzzy Systems, 2011, 1.
Shehzad, R., Khan, A., & Naeem, M. (2013). Integrating Knowledge Management with Business Intelligence Processes for Enhanced Organizational Learning. International Journal of Software Engineering & Its Applications, 7.
Siddique, C. M. (2012). Knowledge management initiatives in the United Arab Emirates: a baseline study. Journal of knowledge Management, 16, 702-723.
Skyrme, D., & Amidon, D. (1997). The knowledge agenda. Journal of knowledge management, 1, 27-37.
Slagter, F. (2007). Knowledge management among the older workforce. Journal of Knowledge Management, 11, 82-96.
Study Best-Practice Report, American Productivity & Quality Center.
Sugiyama, K. (2007). Post-analysis of knowledge-creation processes in small research projects. International Journal of Information Technology & Decision Making, 6, 541-557.
Taminiau, Y., Smit, W., & De Lange, A. (2009). Innovation in management consulting firms through informal knowledge sharing. Journal of Knowledge Management, 13, 42-55.
Toloie-Eshlaghy, A., & Akbari-Yusefvand, A. (2011). Identifying and prioritizing critical success factors (CSFs) in practicing knowledge management in small and medium firms using decision making techniques. European Journal of Economics, Finance and Administrative Sciences, 101-117.
Tseng, M.-L. (2010). Using linguistic preferences and grey relational analysis to evaluate the environmental knowledge management capacity. Expert Systems with Applications, 37, 70-81.
Tseng, S.-M. (2010). The correlation between organizational culture and knowledge conversion on corporate performance. Journal of Knowledge Management, 14, 269-284.
Tseng, S.-M. (2014). The impact of knowledge management capabilities and supplier relationship management on corporate performance. International Journal of Production Economics, 154, 39-47.
Tynan, S. A. (1999). FEATURES-LEADERSHIP-Best Behaviors-It's no secret that companies must learn to manage employee knowledge to thrive in an e-speed environment. But closing the gap between mandate and practice is. Management Review, 88, 58-61.
Valmohammadi, C. (2010). Identification and prioritization of critical success factors of knowledge management in Iranian SMEs: An experts’ view. African Journal of Business Management, 4, 915-924.
Wang, T.-C., & Chang, T.-H. (2007a). Application of consistent fuzzy preference relations in predicting the success of knowledge management implementation. European Journal of Operational Research, 182, 1313-1329.
Wang, T.-C., & Chang, T.-H. (2007b). Forecasting the probability of successful knowledge management by consistent fuzzy preference relations. Expert Systems with Applications, 32, 801-813.
Wild, R. H., Griggs, K. A., & Downing, T. (2002). A framework for e-learning as a tool for knowledge management. Industrial Management & Data Systems, 102, 371-380.
Willem, A., & Buelens, M. (2009). Knowledge sharing in inter-unit cooperative episodes: The impact of organizational structure dimensions. International Journal of Information Management, 29, 151-160.
Winslow, C. D., & Bramer, W. L. (1994). FutureWork: Putting knowledge to work in the knowledge economy: Free Press.
Wong, K. Y. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial Management & Data Systems, 105, 261-279.
Wong, K. Y., & Aspinwall, E. (2005). An empirical study of the important factors for knowledge-management adoption in the SME sector. Journal of knowledge management, 9, 64-82.
Wu, J.-H., & Wang, Y.-M. (2006). Measuring KMS success: A respecification of the DeLone and McLean's model. Information & Management, 43, 728-739.
Wu, W.-W. (2012). Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method. Applied Soft Computing, 12, 527-535.
Wu, W.-Z., & Zhang, W.-X. (2004). Constructive and axiomatic approaches of fuzzy approximation operators. Information sciences, 159, 233-254.
Yahya, S., & Goh, W.-K. (2002). Managing human resources toward achieving knowledge management. Journal of knowledge management, 6, 457-468.
Yang, C.-W., Fang, S.-C., & Lin, J. L. (2010). Organisational knowledge creation strategies: A conceptual framework. International Journal of Information Management, 30, 231-238.
Yeh, Y.-J., Lai, S.-Q., & Ho, C.-T. (2006). Knowledge management enablers: a case study. Industrial Management & Data Systems, 106, 793-810.
Yılmaz, Y. (2012). Knowledge Management in E-Learning Practices. Turkish Online Journal of Educational Technology, 11.
Yu, S.-H., Kim, Y.-G., & Kim, M.-Y. (2004). Linking organizational knowledge management drivers to knowledge management performance: an exploratory study. In System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on (pp. 10 pp.): IEEE.
Zack, M., McKeen, J., & Singh, S. (2009). Knowledge management and organizational performance: an exploratory analysis. Journal of Knowledge Management, 13, 392-409.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8, 338-353.
Zamani Moghaddam, A., Mosakhani, M., & Aalabeiki, M. (2013). A study on relationships between critical success factors of knowledge management and competitive advantage. Management Science Letters, 3.
Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multi-criteria decision making approach in E-learning: A systematic review and classification. Applied Soft Computing, 45, 108-128.
Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016). Development of TOPSIS method to solve complicated decision-making problems: An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 645-682.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.