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ارزیابی مدیریت دانش در زنجیره تامین با استفاده از چارچوب EFQM و روشهای تصمیمگیری چند شاخصه فازی (FMADM) و برنامهریزی چندهدفه | ||
| مطالعات مدیریت صنعتی | ||
| مقاله 6، دوره 19، شماره 60، فروردین 1400، صفحه 193-235 اصل مقاله (3.73 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22054/jims.2021.40704.2289 | ||
| نویسندگان | ||
| سیدجمال الدین حسینی1؛ جلال رضایی نور* 2؛ محمدحسین معصومی کاشانی3؛ امیرحسین اکبری4 | ||
| 1استادیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه قم، قم، ایران | ||
| 2دانشیار گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه قم ،قم، ایران | ||
| 3دانشجوی دکتری مدیریت صنعتی ، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران | ||
| 4دانشجوی دکتری مهندسی صنایع ، دانشکده مهندسی صنایع ، دانشگاه علم و صنعت ، تهران ، ایران | ||
| چکیده | ||
| مدیریت دانش یکی از عوامل موثر در ارتقای عملکرد زنجیره تامین سازمان است که این عامل می تواند با استفاده از چارچوب هایی همچون مدل تعالی EFQM در راستای کسب مزیت رقابتی بهتر تقویت گردد. در این پژوهش، ابتدا توانمندسازهای مدیریت دانش بر اساس معیارهای توانمندساز EFQM دسته بندی می گردد و سپس، به منظور برآورد دقیق وزن (اهمیت) هر توانمندساز مدیریت دانش با استفاده از روش ANP فازی، روابط علت – معلولی میان معیارهای توانمندساز EFQM با استفاده از روش دیمتل فازی ارزیابی می گردد. همچنین، به منظور برآورد میزان اهمیت هر توانمندساز مدیریت دانش در تسهیم دانش میان افراد زنجیره از روش AHP استفاده می گردد. به منظور بهینه سازی مدیریت دانش و اتخاذ یک استراتژی مدیریت دانش در هرقسمت از زنجیره تامین و انتخاب افراد ذی صلاح جهت بهینه سازی نشر دانش در بخش تحقیق و توسعه از برنامه ریزی چند هدفه مختلط استفاده می گردد. نتایج این مدل نشان می دهد که هر بخش از زنجیره تامین باید بر توسعه برخی توانمندسازها تمرکز نموده و هر کدام استراتژی مشخصی را اتخاذ می نمایند. همچین این نتایج بر اثرگذاری توانمندسازها و توسعه آنها در زمینه انتخاب افراد ذی صلاح تاکید دارد. | ||
| کلیدواژهها | ||
| مدیریت دانش؛ زنجیره تامین؛ EFQM؛ تصمیم گیری چندمعیاره فازی؛ برنامه ریزی چندهدفه | ||
| مراجع | ||
|
Akhavan, P., Ebrahim Sanjaghi, M., Rezaeenour, J., & Ojaghi, H. (2014). Examining the relationships between organizational culture, knowledge management and environmental responsiveness capability. VINE: The journal of information and knowledge management systems, 44(2), 228-248.
Akhavan, P., Hosseini, S. M., & Abbasi, M. (2016). Selecting new product development team members with knowledge sharing approach: A fuzzy bi-objective optimization model. Program, 50(2), 195-214.
Akhavan, P., Shahabipour, A., & Hosnavi, R. (2018). How supplier knowledge impacts on organizational capabilities and willingness. VINE Journal of Information and Knowledge Management Systems, 48(1), 140-158.
Akhavan, P., Shahabipour, A., & Hosnavi, R. (2018). A Model to Optimize Knowledge Flow in Team Working. JOURNAL OF ORGANISATIONAL STUDIES AND INNOVATION, 5(1), 1-20.
Arab, A., Sahebi, I. G., & Alavi, S. A. (2017). Assessing the Key Success Factors of Knowledge Management Adoption in Supply Chain. International Journal of Academic Research in Business and Social Sciences, 7(4), 401-418.
Awaza, Y., & Desouza, K. (2004). The Knowledge Chiefs: CKO, CLOs and CPOs. European Management Journal, 22(3), 339.
Bandyopadhyay, S., & Pathak, P. (2007). Knowledge sharing and cooperation in outsourcing projects-A game theoretical analysis. Decision Support Systems, 43(2), 349–358.
Bozbura, F.T., Beskese, A. and Kahraman, C. (2007), “Prioritization of human capital measurement indicators using fuzzy AHP”, Expert Systems with Applications, Vol. 32, No. 4, pp. 1100–1112. Calvo-Mora, A., Navarro-García, A., & Periañez-Cristobal, R. (2015). Project to improve knowledge management and key business results through the EFQM excellence model. International Journal of Project Management, 33(8), 1638-1651.
Calvo-Mora, A., Picón, A., Ruiz, C., & Cauzo, L. (2013). The relationships between soft-hard TQM factors and key business results. International Journal of Operations & Production Management, 34(1), 115-143.
Calvo-Mora, A., Navarro-García, A., Rey-Moreno, M., & Perianez-Cristobal, R. (2016). Excellence management practices, knowledge management and key business results in large organisations and SMEs: A multi-group analysis. European Management Journal, 34(6), 661-673.
Cheng, J. H., Yeh, C. H., & Tu, C. W. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283-295.
Cheng, J. H. (2011). Inter-organizational relationships and knowledge sharing in green supply chains—moderating by relational benefits and guanxi. Transportation Research Part E: Logistics and Transportation Review, 47(6), 837-849.
Collette, Y., & Siarry, P. (2013). Multiobjective optimization: principles and case studies. Springer Science & Business Media.
Craighead, C. W., Tomas, G., Hult, M., & Ketchen, D. J. (2009). The effects of innovation cost strategy, knowledge and action in the supply chain on firm performance. Journal of Operations Management, 27, 405---421.
Dalalah, D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert systems with applications, 38(7), 8384-8391.
Elgazzar, S., Tipi, N., Hubbard, N. J., & Leach, D. Z. (2012). Linking supply chain processes’ performance to a companies financial strategic objectives. European Journal of Operational Research, 223, 276---289.
Estampe, D., Lamouri, S., Paris, J. L. and BrahimDjelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), pp. 247-258.
Ezzabadi, J. H., Saryazdi, M. D., & Mostafaeipour, A. (2015). Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study. Applied Soft Computing, 36, 165-176.
Giannikas, M. (2008). Facilitating learning and knowledge transfer through supplier development. Supply Chain Management: An International Journal, 13(1), 62---72.
Halley, A., Nollet, J., Beaulieu, M., Roy, J., & Bigras, Y. (2009). The impact of the supply chain on core competencies and knowledge management: directions for future research. International Journal of Technology Management, 49(4), 297-313.
Hammervoll, T. (2009). Value-Creation Logic in Supply. Journal of Business-to-Business, 16(3), 220-241.
He, Q., Ghobadin, A., & Gallear, D. (2013). Knowledge acquisition in supply chain partnerships: The role of power. International Journal Production Economics, 141(2), 605 --618.
Hutzschenreuter, T., & Horstkotte, J. (2010). Knowledge transfer to partners: A firm level perspective. Journal of Knowledge Management, 14(3), 428---448.
Ho, C. F., Hsieh, P. H., & Hung, W. H. (2014). Enablers and processes for effective knowledge management. Industrial Management & Data Systems, 114(5), 734-754.
Im, Y., & Rai, A. (2008). Knowledge sharing ambidexterity in long-term interorganizational relationships. Management Science, 54(7), 1281–1296.
Kumar, S., & Thondikulam, G. (2006). Knowledge management in a collaborative business framework. Information Knowledge Systems Management, 12(5), 171---187.
Kwong, C. K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of intelligent manufacturing, 13(5), 367-377.
Lee, H. L. (2004). The triple-A supply chain. Harvard business review, 82(10), 102-113.
Liao, S. H., Chen, C. M., & Wu, C. H. (2008). Mining customer knowledge for product line and brand extension in retailing. Expert Systems with Applications, 34, 1763---1776.
Martín-Castilla, J. I., & Rodríguez-Ruiz, O. (2008). EFQM model: Knowledge governance and competitive advantage. Journal of Intellectual Capital, 9(1), 133e156.
Nätti, S., & Ojasalo, J. (2008). Loose coupling as an inhibitor of internal customer knowledge transfer: findings from an empirical study in B-to-B professional services. Journal of Business & Industrial Marketing, 23(3), 213-223.
Patil, S. K., & Kant, R. (2014). A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Applied Soft Computing, 18, 126-135.
Patil, S. K., & Kant, R. (2016). Evaluating the impact of Knowledge Management adoption on Supply Chain performance by BSC-FANP approach: An empirical case study. Tékhne, 14(1), 52-74.
Perçin, S. (2010). Use of analytic network process in selecting knowledge management strategies. Management Research Review, 33(5), 452-471.
Pereira, J. (2009). The new supply chain’s frontier: Information management. International Journal of Information Management, 29(5), 372–379.
Ranganathan, C., Teo, T. S., & Dhaliwal, J. (2011). Web-enabled supply chain management: Key antecedents and performance impacts. International Journal of Information Management, 31(6), 533-545.
Rusjan B. (2005). Usefulness of the EFQM excellence model: theoretical explanation of some conceptual and methodological issues, Total Quality Management & Business Excellence, 16(3), 363–- 380.
Saaty, T. (1980). The analytic hierarchy process (AHP) for decision making. In Kobe, Japan.
Saaty, T. L. (1996). Decision making with dependence and feedback. The analytic network process. Pittsburgh, PA: RWS.
Sadegh Amalnick, M., & Zarrin, M. (2017). Performance assessment of human resource by integration of HSE and ergonomics and EFQM management system: A fuzzy-based approach. International journal of health care quality assurance, 30(2), 160-174.
Saen, R. F. (2010). A new model for harmonising scores growth among multiple criteria of excellence model of EFQM: a case study in Sepahan Industrial Group Co. International Journal of Society Systems Science, 2(1), 100-108.
Samuel, K. E., Goury, M. L., Gunasekaran, A., & Spalanzani, A. (2011). Knowledge management in supply chain: An empiricalstudy from France. Journal of Strategic Information Systems, 20(3), 283---306.
Sayadi, Sina; Poursheik, Ali, (2014), Knowledge management systems in government agencies, First international conference on accounting, auditing and management.
Shih, S. C., Hsu, S., Zhu, Z., & Balasubramanian, S. (2012). Knowledge sharing-A key role in the downstream supply chain. Information & Management, 49(2), 70---80.
Sivakumar, K., & Roy, S. (2004). Knowledge redundancy in supply chains: A framework. Supply Chain Management: An International Journal, 9, 241---249.
Sung, A. (2006). A strategic management framework for leveraging knowledge innovation. International Journal of The Computer, the Internet and Management, 14(3), 32-49.
Tan, C. N. L., & Md. Noor, S. (2013). Knowledge management enablers, knowledge sharing and research collaboration: a study of knowledge management at research universities in Malaysia. Asian Journal of Technology Innovation, 21(2), 251-276.
Vicedo, J. C., Mula, J., & Capo, J. (2011). A social network-based organizational model for improving knowledge management in supply chains. Supply Chain Management: An International Journal, 16(4), 284---293.
Weske, M. (2007). Business Process Management–Concepts, Languages, Architectures, Verlag.
Yasir, M., & Majid, A. (2017). Impact of knowledge management enablers on knowledge sharing: is trust a missing link in SMEs of emerging economies?. World Journal of Entrepreneurship, Management and Sustainable Development, 13(1), 16-33.
Zhang, L. and Zhang, X. (2013), “Multi-objective team formation optimization for new product development”, Computers & Industrial Engineering, Vol. 64 No. 3, pp. 804–811.
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