شناسایی و اولویت بندی عوامل موثر بر ارزیابی مدیریت زنجیره تأمین مالی(FSCM) با استفاده از از رویکرد آمیخته در صنایع تولید فولاد اصفهان
محورهای موضوعی : مدیریت صنعتی
1 - Ph.D. of production and operations management, Alborz Campus College, Tehran University, Tehran, Iran
2 - Faculty Member, Department of Financial Management, Islamic Azad University, Semnan Branch
کلید واژه: مدیریت زنجیره تأمین مالی, فولاد اصفهان, زنجیره تأمین,
چکیده مقاله :
در سال‌های اخیر با توجه به اهمیت مسایل مالی، ذینفعان زنجیره تأمین انتظار دارند که مسایل مالی نیز در زنجیره تأمین مورد توجه قرار گیرد. بنابراین هدف پژوهش شناسایی و اولویت بندی عوامل موثر بر ارزیابی مدیریت زنجیره تأمین مالی در صنایع تولید فولاد اصفهان بود. پژوهش حاضر کاربردی بوده و بصورت آمیخته انجام گرفت. با استفاده از روش نمونه‌گیری هدفمند 12 خبره آشنا به پژوهش تعیین گردید. در بخش کیفی برای کدگذاری و شناسایی عوامل از تحلیل مضمون با به کارگیری نرم افزار مکسکیودا استفاده گردید. برای اولویت بندی عوامل در بخش کمی تحلیل سلسه مراتبی با استفاده از نرم افزار سوپردسیژن به کار گرفته شد. نتایج حاصل نشان داد که عوامل موثر بر ارزیابی مدیریت زنجیره تأمین مالی شامل 8 مضمون کلی سرعت تحویل، رعایت قوانین، کارایی زنجیره تأمین، حمایت مدیران ارشد، پاسخگویی، فناوری اطلاعات، هزینه‌های زنجیره تأمین و قابلیت اطمینان می‌باشند. که حمایت مدیران ارشد با وزن 275/0 در اولویت اول و قابلیت اطمینان با وزن 021/0 در اولویت آخر قرار دارد. این پژوهش از اولین مطالعاتی می باشد که عوامل موثر بر ارزیابی مدیریت زنجیره تأمین مالی در صنایع تولید فولاد اصفهان را شناسایی کرده و به شرکت‌های مربوطه برای به کارگیری مدیریت زنجیره تأمین مالی کمک می‌کند.
In recent years due to the importance of financial issues, supply chain stakeholders expect that financial issues will also be addressed in the supply chain. Therefore, the purpose of this study was to identify and prioritize the factors affecting the evaluation of financing chain management in Isfahan steel industry. Developmental research was applied and mixed. Using familiar sampling method, 12 experts were identified. In the qualitative part, content analysis Using MAXQDA software was used for coding and identifying the factors. Prioritization of factors in quantitative part of hierarchical analysis was performed using supersession software. The results showed that factors affecting the evaluation of financing chain management include 8 general themes of delivery speed, compliance, supply chain efficiency, senior management support, accountability, information technology, supply chain costs and reliability. That supporting senior executives with a weight of 0.275 is the first priority and reliability with a weight of 0.021 is the last priority. This study is one of the first studies to identify the factors affecting the evaluation of financing chain management in the Esfahan Steel Industry and to assist companies in applying financing chain management.
Azar, A, Salmaninejad, R. (2017). Capital-Based Financing Services Chain: A Soft Modeling Approach to Management (Case Study: Tehran Stock Exchange). Khatam Modern Management Research 1 (1), 141-166. (in persian)
Chaharsoughi, K, khakbazan, E.(2018). Integrate physical and financial decisions into a value-based supply chain. Modeling in Engineering, 16 (54), 227-239. (in persian)
Fath Allah, M, Najafi, M. (2016). Development of Supply Chain Financial Management Model and Supply Chain Financing. Journal of Industrial Engineering Research in Production Systems, 4 (9), 269-257. (in persian)
Jia, F., Blome, C., Sun, H., Yang, Y., & Zhi, B. (2019). Towards an integrated conceptual framework of supply chain finance: An information processing perspective. International Journal of Production Economics.18-30.
Gelsomino, L.M., Mangiaracina, R., Perego, A., Tumino, A., (2016). Supply chain finance: a literature review. Int. J. Phys. Distrib. Logist. Manag. 46 (4), 348–366.
Gordy, M., (2000). “A comparative anatomy of credit risk models”, Journal of Bank Finance, 24(1): 119-149.
Li, S., Chen, X., (2019). The role of supply chain finance in third-party logistics industry: a case study from China. Int. J. Logist. Res. Appl. 22 (2), 154–171.
Liebl, J., Hartmann, E., Feisel, E.,(2016). Reverse factoring in the supply chain: objectives, antecedents and implementation barriers. Int. J. Phys. Distrib. Logist. Manag. 46 (4),393–413.
Liu, X., Zhou, L., Wu, Y.-C.J., (2015). Supply chain finance in China: business innovation and theory development. Sustainability, 7 (11), 14689–14709.
Martin, J., Hofmann, E., (2017),Involving financial service providers in supply chain financepractices: company needs and service requirements. J. Appl. Account. Res. 18(1), 42–62.
Pellegrino, R., Costantino, N., & Tauro, D. (2019). Supply Chain Finance: A supply chain-oriented perspective to mitigate commodity risk and pricing volatility. Journal of Purchasing and Supply Management, 25(2), 118-133.
Salkhordeh, M, Sadeghi, T, Masoudifar, H, (2015), Designing a Strategic Decision Making Model for Financing Supply Chain and Selecting Strategic Suppliers for a Comprehensive Financing System Case Study: Social Security Organization of Khorasan Razavi, International Conference Modern Researches in Industrial Management and Engineering, Tehran, Ilyas Capital Idea Managers Co., (in persian)
Saeedi Kaljahi, A, (2015), Investigation and Evaluation of Financial Flow Management in Supply Chain and Identification of the Best Financial Institution Using Fuzzy GTMA Technique (Case Study: Iran Tractor Company, MSc, Financial Management, University of Tehran. (in persian)
Wuttke, D.A., Blome, C., Henke, M., (2013). Focusing the financial flow of supply chains: an empirical investigation of financial supply chain management. Int. J. Prod. Econ. 145 (2), 773–789.
Xu, X.H., Chen, X.F., Jia, F., Brown, S., Gong, Y., Xu, Y.F, (2018). Supply chain finance: asystematic literature review and bibliometric analysis. Int. J. Prod. Econ. 204, 160–173.
_||_Azar, A, Salmaninejad, R. (2017). Capital-Based Financing Services Chain: A Soft Modeling Approach to Management (Case Study: Tehran Stock Exchange). Khatam Modern Management Research 1 (1), 141-166. (in persian)
Chaharsoughi, K, khakbazan, E.(2018). Integrate physical and financial decisions into a value-based supply chain. Modeling in Engineering, 16 (54), 227-239. (in persian)
Fath Allah, M, Najafi, M. (2016). Development of Supply Chain Financial Management Model and Supply Chain Financing. Journal of Industrial Engineering Research in Production Systems, 4 (9), 269-257. (in persian)
Jia, F., Blome, C., Sun, H., Yang, Y., & Zhi, B. (2019). Towards an integrated conceptual framework of supply chain finance: An information processing perspective. International Journal of Production Economics.18-30.
Gelsomino, L.M., Mangiaracina, R., Perego, A., Tumino, A., (2016). Supply chain finance: a literature review. Int. J. Phys. Distrib. Logist. Manag. 46 (4), 348–366.
Gordy, M., (2000). “A comparative anatomy of credit risk models”, Journal of Bank Finance, 24(1): 119-149.
Li, S., Chen, X., (2019). The role of supply chain finance in third-party logistics industry: a case study from China. Int. J. Logist. Res. Appl. 22 (2), 154–171.
Liebl, J., Hartmann, E., Feisel, E.,(2016). Reverse factoring in the supply chain: objectives, antecedents and implementation barriers. Int. J. Phys. Distrib. Logist. Manag. 46 (4),393–413.
Liu, X., Zhou, L., Wu, Y.-C.J., (2015). Supply chain finance in China: business innovation and theory development. Sustainability, 7 (11), 14689–14709.
Martin, J., Hofmann, E., (2017),Involving financial service providers in supply chain financepractices: company needs and service requirements. J. Appl. Account. Res. 18(1), 42–62.
Pellegrino, R., Costantino, N., & Tauro, D. (2019). Supply Chain Finance: A supply chain-oriented perspective to mitigate commodity risk and pricing volatility. Journal of Purchasing and Supply Management, 25(2), 118-133.
Salkhordeh, M, Sadeghi, T, Masoudifar, H, (2015), Designing a Strategic Decision Making Model for Financing Supply Chain and Selecting Strategic Suppliers for a Comprehensive Financing System Case Study: Social Security Organization of Khorasan Razavi, International Conference Modern Researches in Industrial Management and Engineering, Tehran, Ilyas Capital Idea Managers Co., (in persian)
Saeedi Kaljahi, A, (2015), Investigation and Evaluation of Financial Flow Management in Supply Chain and Identification of the Best Financial Institution Using Fuzzy GTMA Technique (Case Study: Iran Tractor Company, MSc, Financial Management, University of Tehran. (in persian)
Wuttke, D.A., Blome, C., Henke, M., (2013). Focusing the financial flow of supply chains: an empirical investigation of financial supply chain management. Int. J. Prod. Econ. 145 (2), 773–789.
Xu, X.H., Chen, X.F., Jia, F., Brown, S., Gong, Y., Xu, Y.F, (2018). Supply chain finance: asystematic literature review and bibliometric analysis. Int. J. Prod. Econ. 204, 160–173.
