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Journals / İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi / 2022 / Cilt: 21 Sayı: 45

ANALYTIC NETWORK PROCESS APPROACH FOR EVALUATING SUSTAINABLE SUPPLY CHAIN MANAGEMENT

SÜRDÜRÜLEBİLİR TEDARİK ZİNCİRİ YÖNETİMİNİN DEĞERLENDİRİLMESİ İÇİN ANALİTİK AĞ SÜRECİ YAKLAŞIMI

Emine Elif Nebati(İSTANBUL SABAHATTİN ZAİM ÜNİVERSİTESİ)0000-0002-3950-4279
Mehmet Fatih Acar(İZMİR KATİP ÇELEBİ ÜNİVERSİTESİ, İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ, ULUSLARARASI TİCARET VE İŞLETMECİLİK BÖLÜMÜ)0000-0002-7388-8720
Pages
1032–1054
Publication Date
2022-12-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

With this study, it is hoped that sustainable supply chain management, whose importance is increasing day by day, will contribute to the sector and the literature with the construction sector application.

📌 3 Key Takeaways

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Objective & Hypothesis:Abstract Purpose– The aim of this study is to list the effective factors in improving sustainable supply chain management performance and to determine the most appropriate alternative activity.
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Key Findings & Data:The result of the study shows the main driving powers for achieving sustainable supply chains for both environmental, economic and social are environmental quality management, strategic management, sharing information, technology efficiency and voice of customers.
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Conclusion & Impact:With this study, it is hoped that sustainable supply chain management, whose importance is increasing day by day, will contribute to the sector and the literature with the construction sector application.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Analytic network process · Sustainable supply chain management · Construction industry

Abstract

Abstract Purpose– The aim of this study is to list the effective factors in improving sustainable supply chain management performance and to determine the most appropriate alternative activity. Design/methodology/approach – The data used in the study were obtained through face-to-face interviews with business managers working in construction industry and a literature review. With the ANP method, which is one of the multi-criteria decision making methods, the factors affecting supply chain management were prioritized and alternatives were evaluated. Fifteen sub-criteria and five alternatives were identified. Findings – Proposal of decision support model is presented for a sustainable supply chain management with ANP . The result of the study shows the main driving powers for achieving sustainable supply chains for both environmental, economic and social are environmental quality management, strategic management, sharing information, technology efficiency and voice of customers. Originality – With the increasing negative effects of industrialization, global and multinational companies are giving more importance to sustainable supply chain management. Companies must develop viable and integrated supply chain management to maintain customer satisfaction and develop an efficient operational and financial result. Members in supply chain management need to be in constant interaction. Otherwise, various problems such as customer dissatisfaction, distribution costs, and excess stock are encountered. Problems can be solved with effective supply chain management. With this study, it is hoped that sustainable supply chain management, whose importance is increasing day by day, will contribute to the sector and the literature with the construction sector application.

Özet

Özet Amaç– Bu çalışmanın amacı, sürdürülebilir tedarik zinciri yönetimi performansını iyileştirmede etkili faktörleri listelemek ve en uygun alternatif faaliyeti belirlemektir. Yöntem– Çalışmada kullanılan veriler inşaat sektöründe çalışan işletme yöneticileri ile yüz yüze görüşmeler ve literatür taraması yoluyla elde edilmiştir. Çok kriterli karar verme yöntemlerinden biri olan ANP yöntemi ile tedarik zinciri yönetimini etkileyen faktörlere öncelik verilmiş ve alternatifler değerlendirilmiştir. On beş alt kriter ve beş alternatif belirlendi. Bulgular – ANP ile sürdürülebilir bir tedarik zinciri yönetimi için karar destek modeli önerisi sunulmuştur. Çalışmanın sonucu, çevresel, ekonomik ve sosyal açıdan sürdürülebilir tedarik zincirlerine ulaşmak için ana itici güçlerin çevresel kalite yönetimi, stratejik yönetim, bilgi paylaşımı, teknoloji verimliliği ve müşterilerin sesi olduğunu göstermektedir. Özgünlük– Sanayileşmenin artan olumsuz etkileriyle birlikte küresel ve çok uluslu şirketler sürdürülebilir tedarik zinciri yönetimine daha fazla önem vermektedir. Şirketler, müşteri memnuniyetini sürdürmek ve verimli bir operasyonel ve finansal sonuç geliştirmek için uygulanabilir ve entegre tedarik zinciri yönetimi geliştirmelidir. Tedarik zinciri yönetimindeki üyelerin sürekli etkileşim içinde olması gerekir. Aksi takdirde müşteri memnuniyetsizliği, dağıtım maliyetleri, stok fazlası gibi çeşitli sorunlarla karşılaşılmaktadır. Sorunlar etkin tedarik zinciri yönetimi ile çözülebilir. Bu çalışma ile, kısıtlı alandaki sürdürülebilir tedarik zinciri yönetiminin inşaat sektörü uygulaması ile sektöre ve yazına katkı sağlaması umulmaktadır.

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Cite This Article

Nebati, E. E., Acar, M. F. (2022). ANALYTIC NETWORK PROCESS APPROACH FOR EVALUATING SUSTAINABLE SUPPLY CHAIN MANAGEMENT. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, Cilt: 21 Sayı: 45, 1032–1054. https://doi.org/10.46928/iticusbe.1066741

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References (46)

  1. Abbas, J. (2020). Impact of Total Quality Management on Corporate Sustainability Through the Mediating Effect of Knowledge Management. Journal of Cleaner Production, 244, 118806. https://doi.org/10.1016/j.jclepro.2019.118806.
  2. Aljoghaiman, A., Saad, M. & Kumar, V. (2020). Investigating the Motivators, Barriers and Enablers Associated with the Implementation of Sustainable Supply Chain in Saudi Manufacturing Industry. 3rd IEOM European International Conference on Industrial Engineering and Operations Management. Retrieved from https://uwe-repository.worktribe.com/output/850732.
  3. Babagolzadeh, M., Shrestha, A., Abbasi, B. & Zhang, Y. (2020). Sustainable Cold Supply Chain Management Under Demand Uncertainty and Carbon Tax Regulation. Transportation Research Part D, 80, 102245. https://doi.org/10.1016/j.trd.2020.102245.
  4. Büyüközkan, G. & Çifçi, G. (2012). Evaluation of the Green Supply Chain Management Practices: A Fuzzy ANP Approach. Production Planning and Control, 23(6), 405-418. https://doi.org/10.1080/09537287.2011.561814.
  5. Carter, C. R. & Rogers, D. S. (2008). A Framework of Sustainable Supply Chain Management: Moving Toward New Theory. International Journal of Physical Distribution and Logistics Management, 38, 360–387. https://doi.org/10.1108/09600030810882816. Carter, C. R. & Jennings, M. M. (2002). Social Responsibility and Supply Chain Relationships. Transportation Research Part E: Logistics and Transportation Review, 38(1), 37-52. https://doi.org/10.1016/S1366-5545(01)00008-4. Campos-Guzmán, V., García-Cáscales, M. S., Espinosa, N. & Urbina, A. (2019). Life Cycle Analysis with Multi-Criteria Decision Making: A Review of Approaches for the Sustainability Evaluation of Renewable Energy Technologies. Renewable and Sustainable Energy Reviews, 104, 343-366. doi: https://doi.org/10.1016/j.rser.2019.01.031.
  6. Chen, L., Zhao, X., Tang, O., Price, L., Zhang, S. & Zhu, W. (2017). Supply Chain Collaboration for Sustainability: A Literature Review and Future Research Agenda. International Journal of Production Economics, 194, 73-87. https://doi.org/10.1016/j.ijpe.2017.04.005.
  7. Chen, J. Y., Dimitrov, S. & Pun, H. (2019). The Impact of Government Subsidy on Supply Chains’ Sustainability Innovation. Omega, 86, 42-58. https://doi.org/10.1016/j.omega.2018.06.012.
  8. Cruz, J. M. (2008). Dynamics of Supply Chain Networks with Corporate Social Responsibility Through Integrated Environmental Decision-Making. European Journal of Operational Research, 184(3), 1005-1031. https://doi.org/10.1016/j.ejor.2006.12.012.
  9. Cruz, J. M. & Wakolbinger, T. (2008). Multiperiod Effects of Corporate Social Responsibility on Supply Chain Networks, Transaction Costs, Emissions, and Risk. International Journal of Production Economics, 116(1), 61-74. https://doi.org/10.1016/j.jclepro.2019.118806.
  10. Cooper, M. C., Lambert, D. M. & Pagh, J. D. (1997). Supply Chain Management: More Than A New Name for Logistics. The International Journal of Logistics Management, 8(1), 1-14. https://doi.org/10.1108/09574099710805556.
  11. Dağdeviren, M., Dönmez, N. & Kurt, M. (2013). Bir İşletmede Tedarikçi Değerlendirme Süreci İçin Yeni Bir Model Tasarımı ve Uygulaması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 21 (2), 247-255. Dai, R., Liang, H. & Ng, L. (2021). Socially Responsible Corporate Customers. Journal of Financial Economics, 142(2), 598-626. https://doi.org/10.1016/j.jfineco.2020.01.003.
  12. Ellegood, W. A., Solomon, S., North, J. & Campbell, J. F. (2020). School Bus Routing Problem: Contemporary Trends and Research Directions. Omega, 95, 102056. https://doi.org/10.1016/j.omega.2019.03.014.
  13. Faisal, M. N. (2010). Sustainable Supply Chains: A Study of Interaction Among the Enablers. Business Process Management Journal, 16(3), 508–529. https://doi.org/10.1108/14637151011049476.
  14. Figueira, J., Greco, S. & Ehrgott, M. (Eds.). (2005). Multiple Criteria Decision Analysis: State of the Art Surveys. New York, NY: Science and Business Media Springer, 78. Retrieved from https://link.springer.com/content/pdf/10.1007/978-1-4939-3094-4.pdf.
  15. Gianni, M., Gotzamani, K. & Tsiotras, G. (2017). Multiple Perspectives on Integrated Management Systems and Corporate Sustainability Performance. Journal of Cleaner Production, 168, 1297-1311. https://doi.org/10.1016/j.jclepro.2017.09.061.
  16. Govindan, K., Mina, H., & Alavi, B. (2020). A Decision Support System for Demand Management in Healthcare Supply Chains Considering the Epidemic Outbreaks: A Case Study of Coronavirus Disease 2019 (COVID-19). Transportation Research Part E: Logistics and Transportation Review, 138, 101967. https://doi.org/10.1016/j.tre.2020.101967.
  17. Gunasekaran, A. & Spalanzani, A. (2012). Sustainability of Manufacturing and Services: Investigations for Research and Applications. International Journal of Production Economics, 140(1), 35-47. https://doi.org/10.1016/j.ijpe.2011.05.011.
  18. Huang, Y. S., Fang, C. C. & Lin, Y. A. (2020). Inventory Management in Supply Chains with Consideration of Logistics, Green Investment and Different Carbon Emissions Policies. Computers & Industrial Engineering, 139, 106207. https://doi.org/10.1016/j.cie.2019.106207.
  19. Jayant, A. (2016). An Application Of Analytic Network Process (ANP) to Evaluate Green Supply Chain Management Strategies: A Case Study. In MATEC Web of Conferences (Vol. 57, p. 03003). EDP Sciences. https://doi.org/10.1051/matecconf/20165703003.
  20. Jerónimo, H. M., Henriques, P. L., de Lacerda, T. C., da Silva, F. P. & Vieira, P. R. (2020). Going Green and Sustainable: The Influence of Green HR Practices on the Organizational Rationale for Sustainability. Journal of Business Research, 112, 413-421. https://doi.org/10.1016/j.jbusres.2019.11.036.
  21. Kainuma, Y. & Tawara, N. (2006). A Multiple Attribute Utility Theory Approach to Lean and Green Supply Chain Management. International Journal of Production Economics, 101(1), 99-108. https://doi.org/10.1016/j.ijpe.2005.05.010
  22. Kay, M. J., Kay, S. A. & Tuininga, A. R. (2018). Green Teams: A Collaborative Training Model. Journal of Cleaner Production, 176, 909-919. https://doi.org/10.1016/j.jclepro.2017.12.032
  23. Kumar, A., Aswin, A. & Gupta, H. (2020). Evaluating Green Performance of the Airports Using Hybrid BWM and VIKOR Methodology. Tourism Management, 76, 103941. https://doi.org/10.1016/j.tourman.2019.06.016
  24. Lechler, S., Canzaniello, A. & Hartmann, E. (2019). Assessment Sharing Intra-Industry Strategic Alliances: Effects on Sustainable Supplier Management within Multi-tier Supply Chains. International Journal of Production Economics, 217, 64-77.
  25. Luthra, S., Garg, D. & Haleem, A. (2015). Critical Success Factors of Green Supply Chain Management for Achieving Sustainability in Indian Automobile Industry. Production Planning & Control, 26(5), 339-362. https://doi.org/10.1016/j.ijpe.2019.01.005
  26. Mani, V., Gunasekaran, A., Papadopoulos, T., Hazen, B. & Dubey, R. (2016). Supply Chain Social Sustainability for Developing Nations: Evidence From India. Resources, Conservation and Recycling, 111, 42-52. https://doi.org/10.1016/j.resconrec.2016.04.003
  27. Melkonyan, A., Krumme, K., Gruchmann, T., Spinler, S., Schumacher, T. & Bleischwitz, R. (2019). Scenario and Strategy Planning for Transformative Supply Chains within a Sustainable Economy. Journal of Cleaner Production, 231, 144-160. https://doi.org/10.1016/j.jclepro.2019.05.222
  28. Padhi, S. S., Pati, R. K. & Rajeev, A. (2018). Framework for Selecting Sustainable Supply Chain Processes and Industries Using an Integrated Approach. Journal of Cleaner Production, 184, 969-984. https://doi.org/10.1016/j.jclepro.2018.02.306
  29. Panda, S. (2014). Coordination of a Socially Responsible Supply Chain Using Revenue Sharing Contract. Transportation Research Part E: Logistics and Transportation Review, 67, 92-104. https://doi.org/10.1016/j.tre.2014.04.002
  30. Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, K. H. (2021). Supply Chain Recovery Challenges in the Wake of COVID-19 Pandemic. Journal of Business Research, 136, 316-329. https://doi.org/10.1016/j.jbusres.2021.07.056 Porter, P. K., & Scully, G. W. (1995). Institutional Technology and Economic Growth. Public Choice, 82(1), 17-36. https://doi.org/10.1007/BF01047727
  31. Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A. & Nobar, H. B. K. (2018). Evaluation of Sustainable Supply Chain Risk Management Using an Integrated Fuzzy TOPSIS-CRITIC Approach. Journal of Cleaner Production, 175, 651-669. https://doi.org/10.1016/j.jclepro.2017.12.071
  32. Saaty, T. L., & Ozdemir, M. S. (2021). The Encyclicon-Volume 1: A Dictionary of Decisions with Dependence and Feedback Based on the Analytic Network Process. RWS Publications. Retrieved from https://www.researchgate.net/publication/258258276_The_Encyclicon_A_Dictionary_of_Decisions_with_Dependence_and_Feedback_Based_on_the_Analytic_Network_Process
  33. Saaty, T. L. & Vargas, L. G. (2006). Decision Making with the Analytic Network Process. New York: Science + Business Media, LLC, Springer, 282. Retrieved from https://link.springer.com/book/10.1007/978-1-4614-7279-7 Sarkis, J., Gonzalez, E. D. S. & Koh, S. L. (2019). Effective Multi-tier Supply Chain Management for Sustainability. International Journal of Production Economics, 217, 1–10. https://doi.org/10.1016/j.ijpe.2019.09.014
  34. Seuring, S. & Müller, M. (2008). From a Literature Review to a Conceptual Framework for Sustainable Supply Chain Management. Journal of Cleaner Production, 16(15), 1699-1710. https://doi.org/10.1016/j.jclepro.2008.04.020
  35. Suhi, S. A., Enayet, R., Haque, T., Ali, S. M., Moktadir, M. A. & Paul, S. K. (2019). Environmental Sustainability Assessment in Supply Chain: An Emerging Economy Context. Environmental Impact Assessment Review, 79, 106306. https://doi.org/10.1016/j.eiar.2019.106306
  36. Tjader, Y., May, J. H., Shang, J., Vargas, L. G., & Gao, N. (2014). Firm-Level Outsourcing Decision Making: A Balanced Scorecard-based Analytic Network Process Model. International Journal of Production Economics, 147, 614-623. https://doi.org/10.1016/j.ijpe.2013.04.017
  37. Todeschini, B. V., Cortimiglia, M. N. & de Medeiros, J. F. (2020). Collaboration Practices in the Fashion Industry: Environmentally Sustainable Innovations in the Value Chain. Environmental Science & Policy, 106, 1-11. https://doi.org/10.1016/j.envsci.2020.01.003
  38. Triantaphyllou, E. (2000). Multi-Criteria Decision Making Methods. In Multi-Criteria Decision Making Methods: A Comparative Study, Boston: Science and Business Media Springer, 5-21. Retrieved from https://link.springer.com/chapter/10.1007/978-1-4757-3157-6_2
  39. Tzeng, G. H. & Huang, J. J. (2011). Multiple Attribute Decision Making: Methods and Applications. Boca Raton, FI, USA: CRC Press. https://doi.org/10.1201/b11032
  40. Vachon, S. (2007). Green Supply Chain Practices and the Selection of Environmental Technologies. International Journal of Production Research, 45(18-19), 4357-4379. https://doi.org/10.1080/00207540701440303
  41. Walley, N. & Whitehead, B. (1994). It’s Not Easy Being Green. Harvard Business Review, 72, 46-52. Retrieved from https://hbr.org/1994/05/its-not-easy-being-green
  42. Walker, H., Di Sisto, L. & McBain, D. (2008). Drivers and Barriers to Environmental Supply Chain Management Practices: Lessons From the Public and Private Sectors. Journal of Purchasing and Supply Management, 14(1), 69-85. https://doi.org/10.1016/j.pursup.2008.01.007
  43. Wang, J., & Dai, J. (2018). Sustainable Supply Chain Management Practices and Performance. Industrial Management & Data Systems, 118(1), 2–21. https://doi.org/10.1108/IMDS-12-2016-0540
  44. Yadavalli, V. S., Darbari, J. D., Bhayana, N., Jha, P. C. & Agarwal, V. (2019). An Integrated Optimization Model for Selection of Sustainable Suppliers Based on Customers’ Expectations. Operations Research Perspectives, 6, 100113. https://doi.org/10.1016/j.orp.2019.100113
  45. Yu, M. & Cruz, J. M. (2019). The Sustainable Supply Chain Network Competition with Environmental Tax Policies. International Journal of Production Economics, 217, 218-231. https://doi.org/10.1016/j.ijpe.2018.08.005
  46. Dağdeviren, M., Dönmez, N. & Kurt, M. (2013). Bir İşletmede Tedarikçi Değerlendirme Süreci İçin Yeni Bir Model Tasarımı ve Uygulaması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 21 (2), 247-255.