ارزیابی میزان موفقیت مدیریت دانش در زنجیره تأمین سبز: رویکرد خبره محور ترکیبی تصمیم‌گیری چندشاخصه فازی
الموضوعات :
Fatemeh Zahra Rajabi kafshgar
1
(MSc. in Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran)
Mehrdad Madhoushi2
2
(Prof. of Industrial Management, Mazandaran University, Babolsar, Iran)
Hamidreza Fallah Lajimi3
3
(Assistant Prof. of Industrial Management, Mazandaran University, Babolsar, Iran)
الکلمات المفتاحية: استراتژی سازمان, دیمتل فازی, فرهنگ سازمان, مدیریت دانش, زنجیره تأمین سبز,
ملخص المقالة :
امروزه موفقیت سازمان‌ها، با دانشی که می‌توانند تولید و توزیع کنند، سرعت تولید این دانش و میزان انباشت و استفاده از این دانش تولیدشده، ارتباط مستقیم دارد. از طرفی دغدغه‌های محیط زیستی پیرامون عملیات تولیدی صنایع، سازمان‌ها را بر آن داشته تا از اقدامات سبز در فرآیندهای مختلف زنجیره تأمین استفاده کنند. پیاده‌سازی موفق مدیریت دانش در زنجیره تأمین سبز موجب افزایش کارایی، اثربخشی، سود و مزیت رقابتی برای سازمان‌هاست. ازآنجایی‌که پیاده‌سازی مدیریت دانش نیازمند وقت و هزینه زیادی می‌باشد، مطالعه حاضر به بررسی میزان موفقیت مدیریت دانش در زنجیره تأمین سبز، بر اساس تصمیم‌گیری فازی پرداخته است. در این مقاله پس از مرور ادبیات، پنج بعد اصلی شامل صفات کارمندان، استراتژی سازمانی، فرهنگ سازمان، عوامل تکنولوژیکی و عوامل مدیریتی و 25 شاخص جهت بررسی میزان موفقیت مدیریت دانش در زنجیره تأمین سبز تعیین گردید. با استفاده از نظرات ۱۰ خبره شرکت فراصنعت و بومی‌سازی، 21 شاخص موفقیت مدیریت دانش در زنجیره تأمین سبز شناسایی و با استفاده از روش FDEMATEL وزن هریک از شاخص‌ها محاسبه شد. در مرحله بعد امتیاز موفقیت هر شاخص در شرکت با کمک FSAW محاسبه و درنهایت با استفاده از وزن محاسبه‌شده و امتیاز موفقیت شاخص‌ها، میزان موفقیت پیاده‌سازی مدیریت دانش در زنجیره تأمین سبز مشخص گردید. نتایج نشان دهنده این بود که شرکت فرا صنعت به میزان ۰٫۷۲ در پیاده‌سازی مدیریت دانش در زنجیره تأمین سبز موفق می‌باشد.
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Abdullah, L., Adawiyah, C. W. R., & Kamal, C. W. (2018). A decision making method based on interval type-2 fuzzy sets: An approach for ambulance location preference. Applied computing and informatics, 14(1), 65-72.
Aggestam, L., Soderstrom, E., & Persson, A. (2010). Seven Types of Knowledge Loss in the Knowledge Capture Process. In ECIS.
Ahmadi, S., Afshari, M. A., & Shekari, H. (2013). A model for evaluating the success of green supply chain management with green supplier approach (case study: Iran alloy steel). Trade studies, 17, 127-95. (in persian).
ALhawamdeh, M. A. (2007). The Role of Knowledge Management in Building E-Business Strategy. organization, 9, 20.
Al-Mutawah, K., Lee, V., & Cheung, Y. (2009). A new multi-agent system framework for tacit knowledge management in manufacturing supply chains. Journal of Intelligent Manufacturing, 20(5), 593-610.
Angappa Gunasekaran, (2015) Green Supply Chain Management Enablers: Mixed Methods Research. Sustainable Production And Consumption.
Ansari, M., Rahmany, Y. H,. Rahmani, K., Ali Asgari, M. (2013). Presenting a Model the Effects of Knowledge Management Enablers in Order to Gain Competitive Advantages SMEs. Business Management, 5, 40-21. (in persian).
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Asrawi, I., Salah, Y., & Othman, M. (2017). Integrating Drivers' Differences in Optimizing Green Supply Chain Management at Tactical and Operational Levels. Computers & Industrial Engineering. (in Persian).
Atoufi, N. A. M., & Banihashemi, S. A. (2013). Submit of Knowledge management model in the industry based on contextual factors. Journal of Public Administration, 5, 72-55. (in persian).
Baydoun, A., & El-Den, J. (2017). A Framework for Knowledge Based Software Service Supply Chain (SSSC): A Comparative Analysis with Existing Frameworks. Procedia Computer Science, 124, 205-215.
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Chong, S. (2006). KM critical success factors: a comparison of perceived importance versus implementation in Malaysian ICT companies. The learning organization, 13(3), 230-256. ISO 690.
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Davenport, T. H., & Prusak, L. (1998). Working knowledge: Managing what your organization knows. Harvard Business School Press, Boston, MA, 210.
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Li, Y. H., & Huang, J. W. (2017). The moderating role of relational bonding in green supply chain practices and performance. Journal of Purchasing and Supply Management, 23(4), 290-299.
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(3), 1763-1776.
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Lin, C., Hung, H. C., Wu, J. Y., & Lin, B. (2002). A knowledge management architecture in collaborative supply chain. Journal of Computer Information Systems, 42(5), 83-94.
Lin, C. J., & Wu, W. W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205-213.
Lin, K. P., Tseng, M. L., & Pai, P. F. (2018). Sustainable supply chain management using approximate fuzzy DEMATEL method. Resources, Conservation and Recycling, 128, 134-142.
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Müller, M., Seuring, S., (2007). Reducing information technology-based transaction costs in supply chains. Ind. Manag. Data Syst. 107 (4), 484e500.
Nagurney, A.& Yu, M. (2012). Sustainable Fashion Supply Chain Management Under Oligopolistic. International Journal of Production Economics, 135(2):532-540.
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.
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Pirannejad, A. (2016). A Meta-analysis Study of Knowledge Management Researches in Iran's Public Organizations. Journal of Public Administration, 80, 299-324.
Plesa, S., & Prostean, G. (2018). Business Process Management for Model Based Design Automotive Projects. Procedia-Social and Behavioral Sciences, 238, 313-322.
Rehman, M., Mahmood, A. K., Sugathan, S. K., & Amin, A. (2010). Implementation of knowledge management in small and medium enterprises. Journal of Knowledge Management Practice, 11(1), 234-259.
Rezaei nor, J., Bagheri dehnavi, M., Fayazi, M. (2014). Providing a Framework for Assessing the Effect of Participatory Knowledge Management on Supply Chain Integration by Using Multi-Criteria Decision Making Techniques. Scientific Journal of Standard and Quality Management, 4(4), 89-109. (in persian).
Rodgers, W., Mubako, G. N., & Hall, L. (2017). Knowledge management: The effect of knowledge transfer on professional skepticism in audit engagement planning. Computers in Human Behavior, 70, 564-57.
Rodríguez-Enríquez, C. A., Alor-Hernández, G., Mejia-Miranda, J., Sánchez-Cervantes, J. L., Rodríguez-Mazahua, L., & Sánchez-Ramírez, C. (2016). Supply Chain Knowledge Management Supported by A Simple Knowledge Organization System. Electronic Commerce Research and Applications, 19, 1-18.
Rudnik, K., & Kacprzak, D. (2017). Fuzzy TOPSIS method with ordered fuzzy numbers for flow control in a manufacturing system. Applied Soft Computing, 52, 1020-1041.
Safaie, N., Taleghaninia, F., Kiamanesh, A. (2017). Identifying And Ranking Key Factors Of Success In Knowledge Management In Knowledge-Based Companies (Case Study: Science And Technology Park In Tehran University). Roshd-E-Fanavari, (13), 21-28. (in persian).
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