نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مدیریت بازرگانی، موسسه آموزش عالی غیر انتفاعی- غیر دولتی راه دانش، بابل، ایران.

2 گروه مدیریت بازرگانی، دانشگاه مازندران، بابلسر، ایران.

3 گروه مدیریت بازرگانی، دانشگاه آزاد اسلامی واحد اراک. ایران.

10.22105/imos.2021.280242.1044

چکیده

هدف: هدف از این تحقیق، شناسایی و اولویت‌بندی عوامل حیاتی موفقیت در مدیریت زنجیره تأمین با روش دیماتل مبتنی بر تحلیل شبکه در مخابرات استان مازندران بوده است.
روش‌شناسی پژوهش: برای این منظور، ضمن مطالعه عمیق ادبیات این حوزه و استخراج عوامل حیاتی موفقیت زنجیره تأمین (شامل چهار بعد ایمنی، هزینه‌ای، سازمانی و تعمیر و نگهداری و همچنین معیارهای هرکدام از آن­ها)، از 15 نفر از خبرگان، شامل مدیران و کارشناسان مخابرات استان مازندران، خواسته شد تا این عوامل را در حوزه موفقیت زنجیره تأمین مخابرات استان مازندران اولویت­بندی نمایند.
یافته‌ها: نتایج حاکی از این است که بعد تعمیر و نگهداری دارای بیشترین وزن بوده و به‌عنوان حیاتی­‌ترین مؤلفه موفقیت در مدیریت زنجیره تأمین مخابرات استان مازندران می­‌باشد. نتایج حاصله می‌تواند راهگشای سیاست­گذاری­های مناسب در حوزه مخابرات ایران باشد.
اصالت/ارزش‌افزوده علمی: نتایج پژوهش نشان داد که با شناسایی و اولویت‌بندی عوامل حیاتی موفقیت در مدیریت زنجیره تأمین شرکت‌ها می‌توانند مزیت رقابتی زیادی را به دست بیاورند.

کلیدواژه‌ها

عنوان مقاله [English]

Identification and Prioritization of Critical Success Factors in Telecommunication Supply Chain Management in Mazandaran Province using DANP

نویسندگان [English]

  • Hooman Shababi 1
  • Mahmoud Yahyazadefar 2
  • Maryam Ghiasabadi Farahani 3
  • Roshanak Motamedi 1
  • Peyman Ghafari Ashtiani 3

1 Department of Business Management, Rahedanesh Institute of Higher Education, Babol, Iran.

2 Professor of Business Management Department, University of Mazandaran, Babolsar, Iran.

3 Department of Business Management, Faculty of Management, Islamic Azad University, Arak Branch. Iran.

چکیده [English]

Purpose: The purpose of this research is to identify and prioritize the critical factors of success in managing the telecommunication supply chain of Mazandaran province with the help of the DEMATEL Analytical Network Process (DANP).
Methodology: The present study is exploratory survey research and an applied case study. The statistical population is 15 experts of telecommunication of Mazandaran province. Their opinions are used to prioritize the criteria. Since the study population of this study is limited, it was decided to examine the whole society and to sampling should be avoided. In this research, using the DANP technique in MATLAB software, it has been proposed that the variables that have been collected from the articles have been prepared and tested in conjunction with the experts. Among the different criteria, four main dimensions of safety dimension, cost dimension, organizational dimension, and after repair and maintenance were determined.
Findings: According to the experts' answers and the results of the analysis, repair and maintenance are described as the most important component in prioritizing the critical factors of success in managing the telecommunication supply chain of Mazandaran province. The results will shed light on better policymaking in the field.
Originality/Value: The results showed that by identifying and prioritizing the critical factors of success in supply chain management, companies can gain a great competitive advantage.

کلیدواژه‌ها [English]

  • Critical Factors
  • Supply Chain Management
  • DANP
Aghajani, H., Akbarzadeh, Z., & Ravansetan, K. (2014). Choosing supply chain competitive strategy based on a MCDM model (a case study in Iran). International journal of economics and management engineering, 4(5), 84-91.
Ahi, P., & Searcy, C. (2013). A comparative literature analysis of definitions for green and sustainable supply chain management. Journal of cleaner production, 52, 329-341.
Ahmadi, A. A., Afshari, M. A., & Shekari, H. (2017). A model for evaluating the success of green supply chain management with green supplier approach (case study: Iran alloy steel).  Iranian journal of trade studies, 17(66), 95-127. (In Persian). URL: https://www.sid.ir/en/journal/ViewPaper.aspx?ID=339126 
Andalib Ardakani, D., & Shams, S. (2020). Identification and modeling of green supply chain management in small and medium sized industries. Journal of business administration researches, 12(23), 169-193. (In Persian). URL: http://bar.yazd.ac.ir/article_1947.html?lang=en
Bigliardi, B., & Bottani, E. (2014). Supply chain performance measurement: a literature review and pilot study among Italian manufacturing companies. International journal of engineering, science and technology6(3), 1-16.
Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. K. (2015). Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International journal of production economics, 166, 163-176.
Christopher, M. (2000). The agile supply chain: competing in volatile markets. Industrial marketing management29(1), 37-44.
Deshmukh, A. K., & Mohan, A. (2017). Analysis of Indian retail demand chain using total interpretive modeling. Journal of modelling in management, 12(3), 322-348.
Ejeli, M., & Ghasemian Sahebi, I. (2016). Ranking reffecfive factors on gas industry supply chain quality management by using installation analysis technique to evaluate weighting gredad. Andisheh Amad scientific-extension quarterly, 75(15), 135-155. (In Persian). URL: http://journals.police.ir/article_12655.html?lang=en
Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, conservation and recycling, 163, 150-164.
Fallah, M., & Nozari, H. (2020). Quantitative analysis of cyber risks in IoT-based supply chain (FMCG industries). Decisions and operations research, 5(4), 510-521. (In Persian). URL: http://www.journal-dmor.ir/article_120744.html
Fox, M. S., Barbuceanu, M., & Teigen, R. (2001). Agent-oriented supply-chain management. In Information-Based Manufacturing (pp. 81-104). Springer, Boston, MA.
Ghahremani Nahr, J. (2020). Improvement the efficiency and efficiency of the closed loop supply chain: whale optimization algorithm and novel priority-based encoding approach. Decisions and operations research, 4(4), 299-315. (In Persian). URL: http://www.journal-dmor.ir/article_103943.html
Golpîra, H., Najafi, E., Zandieh, M., & Sadi-Nezhad, S. (2017). Robust bi-level optimization for green opportunistic supply chain network design problem against uncertainty and environmental risk. Computers & industrial engineering, 107, 301-312.
Govindan, K., Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2015). Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach. International journal of environmental science and technology12(1), 15-34.
Govindan, K., Muduli, K., Devika, K., & Barve, A. (2016). Investigation of the influential strength of factors on adoption of green supply chain management practices: an Indian mining scenario. Resources, conservation and recycling107, 185-194.
Gunasekaran, A., & Ngai, E. W. (2005). Build-to-order supply chain management: a literature review and framework for development. Journal of operations management, 23(5), 423-451.
Hajikhani, A., Khalilzadeh, M., & Sadjadi, S. J. (2018). A fuzzy multi-objective multi-product supplier selection and order-allocation problem in supply chain under coverage and price considerations: an urban agricultural case study. Scientia Iranica. transaction e, industrial engineering, 25(1), 431-449.
Harland, C. M. (1996). Supply chain management, purchasing and supply management, logistics, vertical integration, materials management and supply chain dynamics. Blackwell Encyclopedic Dictionary of Operations Management. UK: Blackwell.
Hong, J., Shen, Q., & Xue, F. (2016). A multi-regional structural path analysis of the energy supply chain in China's construction industry. Energy policy92, 56-68.
Khaksar, E., Abbasnejad, T., Esmaeili, A., & Tamošaitienė, J. (2016). The effect of green supply chain management practices on environmental performance and competitive advantage: a case study of the cement industry. Technological and economic development of economy22(2), 293-308.
Kim, K., & Umanath, N. (1999). An empirical investigation of electronic integration in a supply chain relationship. ICIS 1999 Proceedings, 62.
Kozlenkova, I. V., Hult, G. T. M., Lund, D. J., Mena, J. A., & Kekec, P. (2015). The role of marketing channels in supply chain management. Journal of retailing, 91(4), 586-609.
Lambert, D. M. (2008). Supply chain management: processes, partnerships, performance. Supply Chain Management Inst.
Lavastre, O., Gunasekaran, A., & Spalanzani, A. (2012). Supply chain risk management in French companies. Decision support systems52(4), 828-838.
Liu, H., Wei, S., Ke, W., Wei, K. K., & Hua, Z. (2016). The configuration between supply chain integration and information technology competency: a resource orchestration perspective. Journal of operations management44, 13-29.
London, K. A., & Kenley, R. (2001). An industrial organization economic supply chain approach for the construction industry: a review. Construction management and economics19(8), 777-788.
Mahmudi, A., Mojibian, F., & Noory Sabet, A. (2019). A mathematical model for supplier selection in supply chain considering inventory control and pricing problems. Decisions and operations research, 4(1), 88-99. (In Persian). URL: http://www.journal-dmor.ir/article_89845.html
Modarresi, M., & Arab, A. R. (2017). Analysis of critical success factors of sustainable supply chain management based on BWM method. Second international conference on management and accounting, Tehran, (pp.1-15).
Mohaghar, A., Molaei, M., & Afzalian, M. (2014). The ranking of key factors of agility supply chain’s success in designing and producing of cultural production. Iranian journal of supply chain management, 16(43), 54-60. (In Persian). URL: https://scmj.ihu.ac.ir/article_203528.html?lang=en
Prado-Prado, J. C., García-Arca, J., & Fernández-González, A. J. (2020). People as the key factor in competitiveness: a framework for success in supply chain management. Total quality management & business excellence, 31(3-4), 297-311.
Ross, D. F. (2015). Distribution planning and control: managing in the era of supply chain management. Springer.
Ross, J. W., Weill, P., & Robertson, D. (2006). Enterprise architecture as strategy: Creating a foundation for business execution. Harvard business press.
Salehi Sedighiani, J., Ghaseminezhad Aliabadi, Y., & Ghasemzade Guri, F. (2017). Evaluation of structural-interpretive modeling approach in order to evaluate and prioritize the main factors of agile supply chain success in dairy industry. Business management quarterly, 9(35), 97-122. (In Persian). URL: http://bmj.iauctb.ac.ir/article_539185.html?lang=fa
Schneeweiss, C. (2003). Distributed decision making in supply chain management. International journal of production economics, 84(1), 71-83.
Schneeweiss, C., & Zimmer, K. (2004). Hierarchical coordination mechanisms within the supply chain. European journal of operational research153(3), 687-703..
Schönsleben, P. (2016). Integral logistics management: operations and supply chain management within and across companies. CRC Press.
Seifi Shojaei, H. (2016). Evaluating the effective factors on improving the supply chain management performance using the hierarchical analysis process in the food industry. Value chain management, 1(2), 1-16. (In Persian). URL: http://journals.iau.ir/article_650407.html
Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E., & Shankar, R. (2008). Designing and managing the supply chain: concepts, strategies and case studies. Tata McGraw-Hill Education.
Soliman, K. S., Janz, B. D., & Sherer, S. A. (2005). From supply‐chain management to value network advocacy: implications for e‐supply chains. Supply chain management: an international journal, 10(2), 77-83.
Stadtler, H. (2005). Supply chain management and advanced planning––basics, overview and challenges. European journal of operational research163(3), 575-588.
Stank, T. P., Keller, S. B., & Daugherty, P. J. (2001). Supply chain collaboration and logistical service performance. Journal of business logistics22(1), 29-48.
Stock, J. R., & Boyer, S. L. (2009). Developing a consensus definition of supply chain management: a qualitative study. International journal of physical distribution & logistics management, 39(8), 690-711.
Sufiyan, M., Haleem, A., Khan, S., & Khan, M. I. (2019). Evaluating food supply chain performance using hybrid fuzzy MCDM technique. Sustainable production and consumption, 20, 40-57.
Tan, K. C. (2001). A framework of supply chain management literature. European journal of purchasing & supply management7(1), 39-48.
Tan, M., Adem, A., & Dagdeviren, M. (2016). Using the analytic hierarchy process (AHP) for supply chain risk management (SCRM): a case study in automotive sector. In LM-SCM XIV international logistics and supply chain congress (pp. 191-202).
Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Expert systems with applications, 32(4), 1028-1044.
Vanalle, R. M., Ganga, G. M. D., Godinho Filho, M., & Lucato, W. C. (2017). Green supply chain management: An investigation of pressures, practices, and performance within the Brazilian automotive supply chain. Journal of cleaner production151, 250-259.
Wang, H. F., & Gupta, S. M. (2011). Green supply chain management: product life cycle approach. McGraw-Hill Education.
Wieland, A., Handfield, R. B., & Durach, C. F. (2016). Mapping the landscape of future research themes in supply chain management. Journal of business logistics, 37(3), 205-212.
Yadav, S., & Singh, S. P. (2020). Blockchain critical success factors for sustainable supply chain. Resources, conservation and recycling, 152, 104-115.
Yusuf, Y. Y., Gunasekaran, A., Adeleye, E. O., & Sivayoganathan, K. J. E. J. O. O. R. (2004). Agile supply chain capabilities: determinants of competitive objectives. European journal of operational research159(2), 379-392.