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Otomotiv Sektöründeki Tedarik Zinciri Riskleriyle İlgili Bir Araştırma

Year 2021, Volume: 25 Issue: 4, 1710 - 1737, 28.12.2021
https://doi.org/10.53487/ataunisosbil.948617

Abstract

Tedarik zinciri ağında aksamalara neden olan riskler çok farklı noktalarda ortaya çıkabilmektedir. Tedarik zinciri üyelerinin maliyetlerini arttıracak olan risklerin ve bu riskleri oluşturan risk faktörlerinin belirlenmesi riskleri önlemek veya etkilerini azaltmak için oldukça önemlidir. Bu çalışmada, tedarik zincirinin yüksek seviyedeki karmaşıklığı ve zincir üyelerinin birbirlerine olan bağımlılığı nedeniyle risklere karşı hassasiyeti yüksek olan otomotiv sektörüne odaklanılmıştır. Otomotiv tedarik zincirindeki risk faktörlerinin belirlenmesi ve risklerin etkilerinin ortaya çıkarılması amacıyla yönetici kademesinde yer alan tedarik zinciri uzmanlarıyla yarı yapılandırılmış derinlemesine görüşmeler gerçekleştirilmiştir. Elde edilen bulgular tedarik zinciri risk yönetimi alanına ilgi duyan akademisyenlere ve uygulayıcılara yol gösterici bilgiler sunmaktadır. Literatürde, Türkiye’de otomotiv tedarik zinciri riskleri konusunda, tedarik zinciri yöneticilerinden edilen verilerin analiz edildiği benzer bir çalışmayla karşılaşılmaması çalışmayı orijinal kılmaktadır.

References

  • Altunışık, R., Çoşkun, R., & Bayraktaroğlu, S. (2012). Sosyal Bilimlerde Araştırma Yöntemleri (7. Baskı). Sakarya Yayıncılık.
  • Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067–4081.
  • Blackhurst, Jennifer V., Scheibe, K. P., & Johnson, D. J. (2008). Supplier risk assessment and monitoring for the automotive industry. International Journal of Physical Distribution & Logistics Management, 38(2), 143–165.
  • Cavinato, J. L. (2004). Supply chain logistics risks: From the back room to the board room. International Journal of Physical Distribution & Logistics Management, 34(5), 383–387. 7
  • Ceryno, P. S., Scavarda, L. F., & Klingebiel, K. (2015). Supply chain risk: Empirical research in the automotive industry. Journal of Risk Research, 18(9), 1145–1164.
  • Chopra, S., & Sodhi, M. M. S. (2004). Managing risk to avoid: Supply-chain breakdown. Içinde MIT Sloan Management Review (C. 46, Sayı 1).
  • Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1–14.
  • Chu, C. Y., Park, K., & Kremer, G. E. (2020). A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks. Advanced Engineering Informatics, 45, 101053.
  • Cooper, D., & Schindler, P. (2014). Business research methods (12. Baskı). McGraw-Hill.
  • Deloitte. (2012). Supply Chain Resilience: A Risk Intelligent approach to managing global supply chains. Erişim adresi: https://www2.deloitte.com/global/en/pages/governance-risk-and-compliance/articles/risk-intelligent-approach-managing-supply-chains.html (Erişim tarihi: 17/08/ 2019)
  • Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology and Health, 25(10), 1229–1245.
  • Hahn, G. J., & Kuhn, H. (2012). Value-based performance and risk management in supply chains: A robust optimization approach. International Journal of Production Economics, 139(1), 135–144.
  • Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9(2), 51–62.
  • Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53(16), 5031–5069.
  • Junaid, M., Xue, Y., & Syed, M. W. (2020). Construction of index system for risk assessment in supply chains of automotive industry. International Journal of Supply Chain Management, 9(4), 91-106
  • Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics Research and Applications, 6(4), 197–210.
  • Kull, T. J., & Talluri, S. (2008). A Supply Risk Reduction Model Using Integrated Multicriteria Decision Making. IEEE Transactions on Engineering Management, 55(3), 409–419.
  • Kumar, S. K., Tiwari, M. K., & Babiceanu, R. F. (2010). Minimisation of supply chain cost with embedded risk using computational intelligence approaches. International Journal of Production Research, 48(13), 3717–3739.
  • Lin, Y., & Zhou, L. (2011). The impacts of product design changes on supply chain risk: A case study. International Journal of Physical Distribution and Logistics Management, 41(2), 162–186.
  • Lune, H., & Berg, B. L. (2017). Qualitative Research Methods for the Social Sciences (9. Baskı). Pearson.
  • Meyer, A., Niemann, W., Uys, G., & Beetge, D. (2019). An exploration of supply chain risk management in the South African third-party logistics industry. Acta Commercii, 19(1), 1–14.
  • Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667.
  • Nakandala, D., Lau, H., & Zhao, L. (2017). Development of a hybrid fresh food supply chain risk assessment model. International Journal of Production Research, 55(14), 4180–4195.
  • Olson, D. L., & Dash Wu, D. (2010). A review of enterprise risk management in supply chain. Kybernetes, 39(5), 694–706.
  • Percy, W. H., Kostere, K., & Kostere, S. (2015). Generic qualitative research in psychology. Qualitative Report, 20(2), 76–85.
  • Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: Development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46–76.
  • Prakash, S., Soni, G., & Rathore, A. P. S. (2017). A critical analysis of supply chain risk management content: a structured literature review. Journal of Advances in Management Research, 14(1), 69–90.
  • Pişkin, S. (2017). Otomotiv sektör raporu: Türkiye otomotiv sanayii rekabet gücü ve talep dinamikleri perspektifinde 2020 iç pazar beklentileri. TSKB Ekonomik Araştırmalar, Erişim adresi: http://www.tskb.com.tr/i/content/3081_1_Otomotiv%20Sektor%20Raporu.pdf (Erişim tarihi: 15/04/2020).
  • Punniyamoorthy, M., Thamaraiselvan, N., & Manikandan, L. (2013). Assessment of supply chain risk: Scale development and validation. Benchmarking, 20(1), 79–105.
  • Qazi, A., & Akhtar, P. (2020). Risk matrix driven supply chain risk management: Adapting risk matrix based tools to modelling interdependent risks and risk appetite. Computers and Industrial Engineering, 139.
  • Rangel, D. A., De Oliveira, T. K., & Leite, M. S. A. (2015). Supply chain risk classification: Discussion and proposal. International Journal of Production Research, 53(22), 6868–6887.
  • Ravindran, A. R., Ufuk Bilsel, R., Wadhwa, V., & Yang, T. (2010). Risk adjusted multicriteria supplier selection models with applications. International Journal of Production Research, 48(2), 405–424.
  • Samvedi, A., Jain, V., & Chan, F. T. S. (2013). Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. International Journal of Production Research, 51(8), 2433–2442.
  • Schlegel, G. L., & Trent, R. J. (2014). Supply Chain Risk Management: An Emerging Discipline (1. Baskı). CRC Press.
  • Shahbaz, M. S., RM Rasi, R. Z., & Bin Ahmad, M. F. (2019). A novel classification of supply chain risks: Scale development and validation. Journal of Industrial Engineering and Management, 12(1), 201.
  • Sodhi, M. S., & Tang, C. S. (2012). Managing Supply Chain Risk. Springer.
  • Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.
  • Tang, C., & Tomlin, B. (2008). The power of flexibility for mitigating supply chain risks. International Journal of Production Economics, 116(1), 12–27.
  • Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25–34.
  • Thun, J. H., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242–249.
  • Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments-A conceptual model for managing supply chain network risk. International Journal of Production Economics, 119(2), 247–258.
  • Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP). Supply Chain Management, 16(6), 474–483.
  • Tuncel, G., & Alpan, G. (2010). Risk assessment and management for supply chain networks: A case study. Computers in Industry, 61(3), 250–259.
  • Venkatesh, V. G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153–167.
  • Wagner, S. M., & Bode, C. (2008). an Empirical Examination of Supply Chain Performance Along Several Dimensions of Risk. Journal of Business Logistics, 29(1), 307–325.
  • Wagner, S. M., & Neshat, N. (2010). Assessing the vulnerability of supply chains using graph theory. International Journal of Production Economics, 126(1), 121–129.
  • Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis. Computers in Industry, 57(4), 350–365.
  • Yıldırım, A., & Şimsek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (9. Baskı). Seçkin.
  • Zhu, S. (2018). Supply Chain Risk Management in Automotive Industry (Yayınlanmamış Doktora Tezi). University of Windsor, Ontario
Year 2021, Volume: 25 Issue: 4, 1710 - 1737, 28.12.2021
https://doi.org/10.53487/ataunisosbil.948617

Abstract

References

  • Altunışık, R., Çoşkun, R., & Bayraktaroğlu, S. (2012). Sosyal Bilimlerde Araştırma Yöntemleri (7. Baskı). Sakarya Yayıncılık.
  • Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067–4081.
  • Blackhurst, Jennifer V., Scheibe, K. P., & Johnson, D. J. (2008). Supplier risk assessment and monitoring for the automotive industry. International Journal of Physical Distribution & Logistics Management, 38(2), 143–165.
  • Cavinato, J. L. (2004). Supply chain logistics risks: From the back room to the board room. International Journal of Physical Distribution & Logistics Management, 34(5), 383–387. 7
  • Ceryno, P. S., Scavarda, L. F., & Klingebiel, K. (2015). Supply chain risk: Empirical research in the automotive industry. Journal of Risk Research, 18(9), 1145–1164.
  • Chopra, S., & Sodhi, M. M. S. (2004). Managing risk to avoid: Supply-chain breakdown. Içinde MIT Sloan Management Review (C. 46, Sayı 1).
  • Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15(2), 1–14.
  • Chu, C. Y., Park, K., & Kremer, G. E. (2020). A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks. Advanced Engineering Informatics, 45, 101053.
  • Cooper, D., & Schindler, P. (2014). Business research methods (12. Baskı). McGraw-Hill.
  • Deloitte. (2012). Supply Chain Resilience: A Risk Intelligent approach to managing global supply chains. Erişim adresi: https://www2.deloitte.com/global/en/pages/governance-risk-and-compliance/articles/risk-intelligent-approach-managing-supply-chains.html (Erişim tarihi: 17/08/ 2019)
  • Francis, J. J., Johnston, M., Robertson, C., Glidewell, L., Entwistle, V., Eccles, M. P., & Grimshaw, J. M. (2010). What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychology and Health, 25(10), 1229–1245.
  • Hahn, G. J., & Kuhn, H. (2012). Value-based performance and risk management in supply chains: A robust optimization approach. International Journal of Production Economics, 139(1), 135–144.
  • Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9(2), 51–62.
  • Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53(16), 5031–5069.
  • Junaid, M., Xue, Y., & Syed, M. W. (2020). Construction of index system for risk assessment in supply chains of automotive industry. International Journal of Supply Chain Management, 9(4), 91-106
  • Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics Research and Applications, 6(4), 197–210.
  • Kull, T. J., & Talluri, S. (2008). A Supply Risk Reduction Model Using Integrated Multicriteria Decision Making. IEEE Transactions on Engineering Management, 55(3), 409–419.
  • Kumar, S. K., Tiwari, M. K., & Babiceanu, R. F. (2010). Minimisation of supply chain cost with embedded risk using computational intelligence approaches. International Journal of Production Research, 48(13), 3717–3739.
  • Lin, Y., & Zhou, L. (2011). The impacts of product design changes on supply chain risk: A case study. International Journal of Physical Distribution and Logistics Management, 41(2), 162–186.
  • Lune, H., & Berg, B. L. (2017). Qualitative Research Methods for the Social Sciences (9. Baskı). Pearson.
  • Meyer, A., Niemann, W., Uys, G., & Beetge, D. (2019). An exploration of supply chain risk management in the South African third-party logistics industry. Acta Commercii, 19(1), 1–14.
  • Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667.
  • Nakandala, D., Lau, H., & Zhao, L. (2017). Development of a hybrid fresh food supply chain risk assessment model. International Journal of Production Research, 55(14), 4180–4195.
  • Olson, D. L., & Dash Wu, D. (2010). A review of enterprise risk management in supply chain. Kybernetes, 39(5), 694–706.
  • Percy, W. H., Kostere, K., & Kostere, S. (2015). Generic qualitative research in psychology. Qualitative Report, 20(2), 76–85.
  • Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: Development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46–76.
  • Prakash, S., Soni, G., & Rathore, A. P. S. (2017). A critical analysis of supply chain risk management content: a structured literature review. Journal of Advances in Management Research, 14(1), 69–90.
  • Pişkin, S. (2017). Otomotiv sektör raporu: Türkiye otomotiv sanayii rekabet gücü ve talep dinamikleri perspektifinde 2020 iç pazar beklentileri. TSKB Ekonomik Araştırmalar, Erişim adresi: http://www.tskb.com.tr/i/content/3081_1_Otomotiv%20Sektor%20Raporu.pdf (Erişim tarihi: 15/04/2020).
  • Punniyamoorthy, M., Thamaraiselvan, N., & Manikandan, L. (2013). Assessment of supply chain risk: Scale development and validation. Benchmarking, 20(1), 79–105.
  • Qazi, A., & Akhtar, P. (2020). Risk matrix driven supply chain risk management: Adapting risk matrix based tools to modelling interdependent risks and risk appetite. Computers and Industrial Engineering, 139.
  • Rangel, D. A., De Oliveira, T. K., & Leite, M. S. A. (2015). Supply chain risk classification: Discussion and proposal. International Journal of Production Research, 53(22), 6868–6887.
  • Ravindran, A. R., Ufuk Bilsel, R., Wadhwa, V., & Yang, T. (2010). Risk adjusted multicriteria supplier selection models with applications. International Journal of Production Research, 48(2), 405–424.
  • Samvedi, A., Jain, V., & Chan, F. T. S. (2013). Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. International Journal of Production Research, 51(8), 2433–2442.
  • Schlegel, G. L., & Trent, R. J. (2014). Supply Chain Risk Management: An Emerging Discipline (1. Baskı). CRC Press.
  • Shahbaz, M. S., RM Rasi, R. Z., & Bin Ahmad, M. F. (2019). A novel classification of supply chain risks: Scale development and validation. Journal of Industrial Engineering and Management, 12(1), 201.
  • Sodhi, M. S., & Tang, C. S. (2012). Managing Supply Chain Risk. Springer.
  • Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.
  • Tang, C., & Tomlin, B. (2008). The power of flexibility for mitigating supply chain risks. International Journal of Production Economics, 116(1), 12–27.
  • Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25–34.
  • Thun, J. H., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242–249.
  • Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments-A conceptual model for managing supply chain network risk. International Journal of Production Economics, 119(2), 247–258.
  • Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP). Supply Chain Management, 16(6), 474–483.
  • Tuncel, G., & Alpan, G. (2010). Risk assessment and management for supply chain networks: A case study. Computers in Industry, 61(3), 250–259.
  • Venkatesh, V. G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153–167.
  • Wagner, S. M., & Bode, C. (2008). an Empirical Examination of Supply Chain Performance Along Several Dimensions of Risk. Journal of Business Logistics, 29(1), 307–325.
  • Wagner, S. M., & Neshat, N. (2010). Assessing the vulnerability of supply chains using graph theory. International Journal of Production Economics, 126(1), 121–129.
  • Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis. Computers in Industry, 57(4), 350–365.
  • Yıldırım, A., & Şimsek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (9. Baskı). Seçkin.
  • Zhu, S. (2018). Supply Chain Risk Management in Automotive Industry (Yayınlanmamış Doktora Tezi). University of Windsor, Ontario
There are 49 citations in total.

Details

Primary Language Turkish
Journal Section Makaleler
Authors

Sinan Çıkmak 0000-0002-4704-3409

Mustafa Cahit Ungan 0000-0003-2041-1344

Publication Date December 28, 2021
Published in Issue Year 2021 Volume: 25 Issue: 4

Cite

APA Çıkmak, S., & Ungan, M. C. (2021). Otomotiv Sektöründeki Tedarik Zinciri Riskleriyle İlgili Bir Araştırma. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 25(4), 1710-1737. https://doi.org/10.53487/ataunisosbil.948617

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