ارزیابی میزان موفقیت مدیریت دانش در زنجیره تأمین سبز: رویکرد خبره محور ترکیبی تصمیم‌گیری چندشاخصه فازی
محورهای موضوعی : مدیریت صنعتی
Fatemeh Zahra Rajabi kafshgar
1
,
Mehrdad Madhoushi2
2
,
Hamidreza Fallah Lajimi3
3
1 - MSc. in Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran
2 - Prof. of Industrial Management, Mazandaran University, Babolsar, Iran
3 - Assistant Prof. of Industrial Management, Mazandaran University, Babolsar, Iran
کلید واژه: استراتژی سازمان, دیمتل فازی, فرهنگ سازمان, مدیریت دانش, زنجیره تأمین سبز,
چکیده مقاله :
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.
چکیده انگلیسی:
Todays, the success of organizations, is directly related to the knowledge that they can generate and distribute, the speed of producing, the amount of accumulation and usage of this knowledge. On the other hand, environmental concerns about manufacturing industries induce organizations to use green practices in various supply chain processes. The successful implementation of knowledge management in the green supply chain improves the efficiency, effectiveness, profitability and competitive advantage of organizations. Since the implementation of knowledge management requires a lot of time and cost, the present study examines the success rate of knowledge management in the green supply chain based on fuzzy decision making. In this paper, after reviewing the literature, five main dimensions including employee attributes, organizational strategy, organizational culture, technological factors and management factors and 25 indicators for assessing the success of knowledge management in the green supply chain are determined. Using the opinions of 10 experts of Farasanat company, 21 indicators of knowledge management success in the green supply chain have been identified and the weight of each index is calculated by using the FDEMATEL method. In the next step, the rank of each index is calculated with by FSAW. Finally, by using the calculated weight and index rank, the success rate of knowledge management implementation in the green supply chain is determined. The results show that Farasanat company has a success rate of 0.72 in implementing knowledge management in the green supply chain.
منابع و مأخذ:
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).
Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70, 382-390.
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.
Boatca, M. E., Draghici, A., & Carutasu, N. (2018). A Knowledge Management Approach for Ergonomics Implementation within Organizations. Procedia-Social and Behavioral Sciences, 238, 199-206.
Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of operations management, 29(3), 163-180.
Capó-Vicedo, J., Mula, J., & Capó, 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.
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.
Craighead, C. W., Hult, G. T. 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(5), 405-421.
Davenport Thomas, H., & Probst Gilbert, J. B. (2002). Knowledge Management Case Book, Best Practises.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: Managing what your organization knows. Harvard Business School Press, Boston, MA, 210.
Desai, A., & Rai, S. (2016). Knowledge Management for Downstream Supply Chain Management of Indian Public Sector Oil Companies. Procedia Computer Science, 79, 1021-1028.
Feijoo, H. M. P., Ordaz, M. G., & López, F. J. M. (2015). Barriers for the implementation of knowledge management in employee portals. Procedia Computer Science, 64, 506-513.
Fletcher, L., & Polychronakis, Y. E. (2007). Capturing knowledge management in the supply chain. EuroMed Journal of Business, 2(2), 191-207.
Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, Switzerland, 1-8.
Giannakis, M. (2008). Facilitating learning and knowledge transfer through supplier development. Supply Chain Management: An International Journal, 13(1), 62-72
Gulati, R. (1999). Network location and learning: The influence of network resources and firm capabilities on alliance formation. Strategic management journal, 20(5), 397-420.
Jafarnezhad, Ch, A., Kazemi, A., Arab, A. (2016). Investigation And Evaluation Of Resiliency Criteria Using Bwm. Journal Of Industrial Management Perspective, (23), 186-159. (in persian).
Jasimuddin, S. M., & Zhang, Z. (2011). Transferring stored knowledge and storing transferred knowledge. Information Systems Management, 28(1), 84-94.
Khalfan, M. M., Kashyap, M., Li, X., & Abbott, C. (2010). Knowledge management in construction supply chain integration. International Journal of Networking and Virtual Organisations, 7(2-3), 207-221.
Kumar, S., & Thondikulam, G. (2006). Knowledge management in a collaborative business framework. Information Knowledge Systems Management, 5(3), 171-187.
Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93.
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.
Lim, M. K., Tseng, M. L., Tan, K. H., & Bui, T. D. (2017). Knowledge management in sustainable supply chain management: Improving performance through an interpretive structural modelling approach. Journal of cleaner production, 162, 806-816.
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.
Malhotra, A., Gosain, S., Sawy, O.A.E., 2005. Absorptive capacity configurations in supply chains: gearing for partner-enabled market knowledge creation. MIS Q. 145e187.
Maqsood, T., Walker, D., & Finegan, A. (2007). Extending the “knowledge advantage”: creating learning chains. The Learning Organization, 14(2), 123-141.
Marra, M., Ho, W., & Edwards, J. S. (2012). Supply chain knowledge management: A literature review. Expert systems with applications, 39(5), 6103-6110.
Moorman, C., & Miner, A. S. (1997). The impact of organizational memory on new product performance and creativity. Journal of marketing research, 91-106.
Morovati, S. A., & Jamshidi, Z. (2016). Analyzing the Factors Affecting the Satisfaction of Domestic Tourists in Yazd Province Using Fuzzy DEMATEL. Tourism Management Studies (Tourism Studies), (33), 85-104. (in persian).
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.
Pandey, A., & Kumar, A. (2017). Commentary on “Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach”. Applied Soft Computing, 51, 351-352.
Patil, S. K., & Kant, R. (2014). A Hybrid Approach Based on Fuzzy DEMATEL and FSAW to Predict Success of Knowledge Management Adoption in Supply Chain. Applied Soft Computing, 18, 126-135.
Paton, R. A., & McLaughlin, S. (2008). Services innovation: Knowledge transfer and the supply chain. European Management Journal, 26(2), 77-83.
Pezzillo Iacono, M., Martinez, M., Mangia, G., & Galdiero, C. (2012). Knowledge creation and inter-organizational relationships: the development of innovation in the railway industry. Journal of Knowledge Management, 16(4), 604-616.
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).
Sahebi, I. G., Arab, A., & Moghadam, M. R. S. (2017). Analyzing the barriers to humanitarian supply chain management: A case study of the Tehran Red Crescent Societies. International Journal of Disaster Risk Reduction, 24, 232-241.
Samuel, K. E., Goury, M. L., Gunasekaran, A., & Spalanzani, A. (2011). Knowledge Management In Supply Chain: An Empirical Study from France. The Journal of Strategic Information Systems, 20(3), 283-306.
Sangaiah, A. K., Samuel, O. W., Li, X., Abdel-Basset, M., & Wang, H. (2018). Towards an efficient risk assessment in software projects–Fuzzy reinforcement paradigm. Computers & Electrical Engineering, 71, 833-846.
Shakerian, H., Dehnavi, H. D., & Shateri, F. (2016). A framework for the implementation of knowledge management in supply chain management. Procedia-Social and Behavioral Sciences, 230, 176-183.
Sivakumar, K., & Roy, S. (2004). Knowledge redundancy in supply chains: a framework. Supply Chain Management: An International Journal, 9(3), 241-249. ISO 690.
Spekman, R. E., Spear, J., & Kamauff, J. (2002). Supply chain competency: learning as a key component. Supply chain management: An international journal, 7(1), 41-55.
Talari, m., Alimohamadi, A. (2013). The role of knowledge management in the evolution of the supply chain of the company. Business Review, 58, 36-52. (in persian).
Tobin, T. (2003). Ten principles for knowledge management success. ServiceWare Technologies. ISO 690.
Tooranloo, H. S., Azadi, M. H., & Sayyahpoor, A. (2017). Analyzing Factors Affecting Implementation Success of Sustainable Human Resource Management (SHRM) using a Hybrid Approach of FAHP and Type-2 Fuzzy DEMATEL. Journal of Cleaner Production.
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(6), 915.
Van Joolingen, W.R., de Jong, T., Lazonder, A.W., Savelsbergh, E.R., Manlove, S., 2005. Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning. Comput. Hum. Behav. 21 (4), 671e688.
Vickery, S.K., Droge, C., Setia, P., Sambamurthy, V., 2010. Supply chain information technologies and organisational initiatives: complementary versus independent effects on agility and firm performance. Int. J. Prod. Res. 48 (23), 7025e7042.
Wadhwa, S., & Saxena, A. (2006). Flexible supply chains: A context for decision knowledge sharing and decision delays. Global Journal of Flexible Systems Management, 7(3/4), 25.
Wang, C., & Hu, Q. (2017). Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance. Technovation.
Wang, M., Zheng, M., Tian, L., Qiu, Z., & Li, X. (2017). A full life cycle nuclear knowledge management framework based on digital system. Annals of Nuclear Energy, 108, 386-393.
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human resource management review, 20(2), 115-131.
Woolliscroft, P., Caganova, D., Cambal, M., Holecek, J., & Pucikova, L. (2013). Implications for Optimisation of the Automotive Supply Chain through Knowledge Management. Procedia CIRP, 7, 211-216.
Yew Wong, K. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial Management & Data Systems, 105(3), 261-279. ISO 690 .
Yew Wong, K., & Aspinwall, E. (2005). An empirical study of the important factors for knowledge-management adoption in the SME sector. Journal of knowledge management, 9(3), 64-82.
Zhang, Y., Liu, S., Tan, J., Jiang, G., & Zhu, Q. (2018). Effects of risks on the performance of business process outsourcing projects: The moderating roles of knowledge management capabilities. International Journal of Project Management, 36(4), 627-639.
Zhou, M., Liu, X. B., Chen, Y. W., & Yang, J. B. (2018). Evidential reasoning rule for MADM with both weights and reliabilities in group decision making. Knowledge-Based Systems, 143, 142-161.
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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).
Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70, 382-390.
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.
Boatca, M. E., Draghici, A., & Carutasu, N. (2018). A Knowledge Management Approach for Ergonomics Implementation within Organizations. Procedia-Social and Behavioral Sciences, 238, 199-206.
Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of operations management, 29(3), 163-180.
Capó-Vicedo, J., Mula, J., & Capó, 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.
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.
Craighead, C. W., Hult, G. T. 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(5), 405-421.
Davenport Thomas, H., & Probst Gilbert, J. B. (2002). Knowledge Management Case Book, Best Practises.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: Managing what your organization knows. Harvard Business School Press, Boston, MA, 210.
Desai, A., & Rai, S. (2016). Knowledge Management for Downstream Supply Chain Management of Indian Public Sector Oil Companies. Procedia Computer Science, 79, 1021-1028.
Feijoo, H. M. P., Ordaz, M. G., & López, F. J. M. (2015). Barriers for the implementation of knowledge management in employee portals. Procedia Computer Science, 64, 506-513.
Fletcher, L., & Polychronakis, Y. E. (2007). Capturing knowledge management in the supply chain. EuroMed Journal of Business, 2(2), 191-207.
Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, Switzerland, 1-8.
Giannakis, M. (2008). Facilitating learning and knowledge transfer through supplier development. Supply Chain Management: An International Journal, 13(1), 62-72
Gulati, R. (1999). Network location and learning: The influence of network resources and firm capabilities on alliance formation. Strategic management journal, 20(5), 397-420.
Jafarnezhad, Ch, A., Kazemi, A., Arab, A. (2016). Investigation And Evaluation Of Resiliency Criteria Using Bwm. Journal Of Industrial Management Perspective, (23), 186-159. (in persian).
Jasimuddin, S. M., & Zhang, Z. (2011). Transferring stored knowledge and storing transferred knowledge. Information Systems Management, 28(1), 84-94.
Khalfan, M. M., Kashyap, M., Li, X., & Abbott, C. (2010). Knowledge management in construction supply chain integration. International Journal of Networking and Virtual Organisations, 7(2-3), 207-221.
Kumar, S., & Thondikulam, G. (2006). Knowledge management in a collaborative business framework. Information Knowledge Systems Management, 5(3), 171-187.
Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93.
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.
Lim, M. K., Tseng, M. L., Tan, K. H., & Bui, T. D. (2017). Knowledge management in sustainable supply chain management: Improving performance through an interpretive structural modelling approach. Journal of cleaner production, 162, 806-816.
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.
Malhotra, A., Gosain, S., Sawy, O.A.E., 2005. Absorptive capacity configurations in supply chains: gearing for partner-enabled market knowledge creation. MIS Q. 145e187.
Maqsood, T., Walker, D., & Finegan, A. (2007). Extending the “knowledge advantage”: creating learning chains. The Learning Organization, 14(2), 123-141.
Marra, M., Ho, W., & Edwards, J. S. (2012). Supply chain knowledge management: A literature review. Expert systems with applications, 39(5), 6103-6110.
Moorman, C., & Miner, A. S. (1997). The impact of organizational memory on new product performance and creativity. Journal of marketing research, 91-106.
Morovati, S. A., & Jamshidi, Z. (2016). Analyzing the Factors Affecting the Satisfaction of Domestic Tourists in Yazd Province Using Fuzzy DEMATEL. Tourism Management Studies (Tourism Studies), (33), 85-104. (in persian).
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.
Pandey, A., & Kumar, A. (2017). Commentary on “Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach”. Applied Soft Computing, 51, 351-352.
Patil, S. K., & Kant, R. (2014). A Hybrid Approach Based on Fuzzy DEMATEL and FSAW to Predict Success of Knowledge Management Adoption in Supply Chain. Applied Soft Computing, 18, 126-135.
Paton, R. A., & McLaughlin, S. (2008). Services innovation: Knowledge transfer and the supply chain. European Management Journal, 26(2), 77-83.
Pezzillo Iacono, M., Martinez, M., Mangia, G., & Galdiero, C. (2012). Knowledge creation and inter-organizational relationships: the development of innovation in the railway industry. Journal of Knowledge Management, 16(4), 604-616.
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).
Sahebi, I. G., Arab, A., & Moghadam, M. R. S. (2017). Analyzing the barriers to humanitarian supply chain management: A case study of the Tehran Red Crescent Societies. International Journal of Disaster Risk Reduction, 24, 232-241.
Samuel, K. E., Goury, M. L., Gunasekaran, A., & Spalanzani, A. (2011). Knowledge Management In Supply Chain: An Empirical Study from France. The Journal of Strategic Information Systems, 20(3), 283-306.
Sangaiah, A. K., Samuel, O. W., Li, X., Abdel-Basset, M., & Wang, H. (2018). Towards an efficient risk assessment in software projects–Fuzzy reinforcement paradigm. Computers & Electrical Engineering, 71, 833-846.
Shakerian, H., Dehnavi, H. D., & Shateri, F. (2016). A framework for the implementation of knowledge management in supply chain management. Procedia-Social and Behavioral Sciences, 230, 176-183.
Sivakumar, K., & Roy, S. (2004). Knowledge redundancy in supply chains: a framework. Supply Chain Management: An International Journal, 9(3), 241-249. ISO 690.
Spekman, R. E., Spear, J., & Kamauff, J. (2002). Supply chain competency: learning as a key component. Supply chain management: An international journal, 7(1), 41-55.
Talari, m., Alimohamadi, A. (2013). The role of knowledge management in the evolution of the supply chain of the company. Business Review, 58, 36-52. (in persian).
Tobin, T. (2003). Ten principles for knowledge management success. ServiceWare Technologies. ISO 690.
Tooranloo, H. S., Azadi, M. H., & Sayyahpoor, A. (2017). Analyzing Factors Affecting Implementation Success of Sustainable Human Resource Management (SHRM) using a Hybrid Approach of FAHP and Type-2 Fuzzy DEMATEL. Journal of Cleaner Production.
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(6), 915.
Van Joolingen, W.R., de Jong, T., Lazonder, A.W., Savelsbergh, E.R., Manlove, S., 2005. Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning. Comput. Hum. Behav. 21 (4), 671e688.
Vickery, S.K., Droge, C., Setia, P., Sambamurthy, V., 2010. Supply chain information technologies and organisational initiatives: complementary versus independent effects on agility and firm performance. Int. J. Prod. Res. 48 (23), 7025e7042.
Wadhwa, S., & Saxena, A. (2006). Flexible supply chains: A context for decision knowledge sharing and decision delays. Global Journal of Flexible Systems Management, 7(3/4), 25.
Wang, C., & Hu, Q. (2017). Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance. Technovation.
Wang, M., Zheng, M., Tian, L., Qiu, Z., & Li, X. (2017). A full life cycle nuclear knowledge management framework based on digital system. Annals of Nuclear Energy, 108, 386-393.
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human resource management review, 20(2), 115-131.
Woolliscroft, P., Caganova, D., Cambal, M., Holecek, J., & Pucikova, L. (2013). Implications for Optimisation of the Automotive Supply Chain through Knowledge Management. Procedia CIRP, 7, 211-216.
Yew Wong, K. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial Management & Data Systems, 105(3), 261-279. ISO 690 .
Yew Wong, K., & Aspinwall, E. (2005). An empirical study of the important factors for knowledge-management adoption in the SME sector. Journal of knowledge management, 9(3), 64-82.
Zhang, Y., Liu, S., Tan, J., Jiang, G., & Zhu, Q. (2018). Effects of risks on the performance of business process outsourcing projects: The moderating roles of knowledge management capabilities. International Journal of Project Management, 36(4), 627-639.
Zhou, M., Liu, X. B., Chen, Y. W., & Yang, J. B. (2018). Evidential reasoning rule for MADM with both weights and reliabilities in group decision making. Knowledge-Based Systems, 143, 142-161.
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