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Pandemi Sonrası Dönemde Tedarik Zinciri Kesintilerine Uyum: Direnç ve İnovasyon Yaklaşımları

Yıl 2024, Cilt: 8 Sayı: 3, 581 - 600
https://doi.org/10.30586/pek.1497718

Öz

Çalışma, Türkiye'de imalat, ilaç, otomotiv, elektronik perakende ve gıda ve içecek gibi çeşitli sanayi sektörlerinde pandemi sonrası dönemde tedarik zinciri aksaklıklarına karşı stratejik yanıtları incelemektedir. Yarı yapılandırılmış görüşmelerden elde edilen nitel veriler ve NVivo ve Python kullanılarak yapılan nicel analizlere dayalı bir karma yöntem analizi kullanılmıştır. NVivo ve Python yardımıyla, bulgular tematik ve duygu analizi yardımıyla birleştirilmiştir. Benimsenmesi gereken yaygın stratejiler arasında tedarik kaynaklarının çeşitlendirilmesi, teknolojik entegrasyon ve geliştirilmiş risk yönetim teknikleri bulunmaktadır. Ayrıca, temel bulgular, dayanıklı ve çevik tedarik zinciri sistemleri oluşturma konusunda kalıcı ve ortak bir değişim olduğunu göstermiştir. Bununla birlikte, bulgular, farklı sektörler arasında benimsenmesi gereken ortak stratejiler olsa da belirli sektör zorluklarıyla başa çıkmak için özel olarak hazırlanmış bir strateji oluşturmanın doğasını nihayetinde gösteren sektörel farklılıkların da uygulandığını göstermektedir. Bu bağlamda çalışma, yalnızca pandemi sonrası Tedarik Zinciri Yönetimi konusunda ampirik bilgilerde önemli bir boşluğu doldurmakla kalmayıp, aynı zamanda yukarıda belirtilen sektörlerde tedarik zinciri dayanıklılığı ve inovasyonu ile ilgili önemli yönetsel ve politik öneriler de sunmaktadır.

Kaynakça

  • Aday, S., & Aday, M. S. (2020). Impact of COVID-19 on the food supply chain. Food Quality and Safety, 4(4), 167-180.
  • Alam, S. T., Ahmed, S., Ali, S. M., Sarker, S., & Kabir, G. (2021). Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals. International Journal of Production Economics, 239, 108193.
  • Butt, A. S. (2022). Building resilience in retail supply chains: Lessons learned from COVID-19 and future pathways. Benchmarking: An International Journal, 29(10), 3057-3078.
  • Cebir, Y., & Akkartal, E. (2024). Digital Twin in Logistics and Supply Chain Management. In Strategic Innovations for Dynamic Supply Chains (pp. 170-192). IGI Global.
  • Chaker, B., & Damak, C. (2024). Integrating Blockchain Technology for Enhanced Transparency and Security in Supply Chains. In Strategic Innovations for Dynamic Supply Chains (pp. 147-169). IGI Global.
  • Chervenkova, T., & Ivanov, D. (2023). Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic. Transportation Research Part E: Logistics and Transportation Review, 177, 103249.
  • Chowdhury, M. T., Sarkar, A., Paul, S. K., & Moktadir, M. A. (2022). A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry. Operations Management Research, 15(1), 166-178.
  • Craighead, C. W., Ketchen Jr, D. J., & Darby, J. L. (2020). Pandemics and supply chain management research: toward a theoretical toolbox. Decision Sciences, 51(4), 838-866.
  • de Goeij, C., Gelsomino, L. M., Caniato, F., Moretto, A. M., & Steeman, M. (2021). Understanding SME suppliers' response to supply chain finance: a transaction cost economics perspective. International Journal of Physical Distribution & Logistics Management, 51(8), 813-836.
  • Dwivedi, A., Srivastava, S., Agrawal, D., Jha, A., & Paul, S. K. (2023). Analyzing the inter-relationships of business recovery challenges in the manufacturing industry: Implications for post-pandemic supply chain resilience. Global Journal of Flexible Systems Management, 24(Suppl 1), 31-48.
  • Edwards-Jones, A. (2014). Qualitative data analysis with NVIVO
  • Emenike, S. N., & Falcone, G. (2020). A review on energy supply chain resilience through optimization. Renewable and Sustainable Energy Reviews, 134, 110088.
  • Frederico, G. F. (2021). Towards a supply chain 4.0 on the post-COVID-19 pandemic: a conceptual and strategic discussion for more resilient supply chains. Rajagiri Management Journal, 15(2), 94-104.
  • Ghansah, F. A., & Lu, W. (2024). Managerial framework for quality assurance of cross-border construction logistics and supply chain during pandemic and post-pandemic: lessons from COVID-19 in the world’s factory. Engineering, Construction and Architectural Management.
  • He, Z., Zhang, R., Qiu, Q., & Chen, Z. (2024). Research on industrial structure adjustment and spillover effect in resource-based regions in the post-pandemic era. Plos one, 19(1), e0296772.
  • Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 171-176.
  • Ivanov, D. (2024). Exiting the COVID-19 pandemic: After-shock risks and avoidance of disruption tails in supply chains. Annals of Operations Research, 335(3), 1627-1644.
  • Ivanov, D. (2024). Transformation of supply chain resilience research through the COVID-19 pandemic. International Journal of Production Research, 1-22.
  • Judi, T. E., & Kurniawan, D. (2024). Public policy and organizational resilience: Leadership, innovation, and sustainability in the post-pandemic era. Manajemen dan Bisnis, 23(1), 197-212.
  • Karmaker, C. L., Bari, A. M., Anam, M. Z., Ahmed, T., Ali, S. M., de Jesus Pacheco, D. A., & Moktadir, M. A. (2023). Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy. International Journal of Production Economics, 258, 108806.
  • Kaur, C., & Sharma, A. (2020, October). Social issues sentiment analysis using python. In 2020 5th international conference on computing, communication and security (ICCCS) (pp. 1-6). IEEE.
  • Li, G., Arisian, S., Chen, G., & Sethi, S. P. (2024). Editorial note for special issue on “Enhancing supply chain resiliency in an era of reglobalization”. International Journal of Logistics Research and Applications, 1-3.
  • Mahmoudi, A., Jemielniak, D., & Ciechanowski, L. (2024). Assessing Accuracy: A Study of Lexicon and Rule-Based Packages in R and Python for Sentiment Analysis. IEEE Access.
  • Mittal, R., & Sinha, P. (2022). Framework for a resilient religious tourism supply chain for mitigating post-pandemic risk. International Hospitality Review, 36(2), 322-339.
  • Mızrak, F. (2024). Strategic Innovations for Dynamic Supply Chains. IGI Global.
  • Moosavi, J., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2022). Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. International Journal of Disaster Risk Reduction, 75, 102983.
  • Nassaji, H. (2020). Good qualitative research. Language Teaching Research, 24(4), 427-431.
  • Nayak, B., Bhattacharyya, S. S., & Krishnamoorthy, B. (2023). Integrating the dialectic perspectives of resource-based view and industrial organization theory for competitive advantage–a review and research agenda. Journal of Business & Industrial Marketing, 38(3), 656-679.
  • Pandey, B. K., Kanike, U. K., George, A. S., & Pandey, D. (Eds.). (2024). AI and Machine Learning Impacts in Intelligent Supply Chain. IGI Global.
  • Paul, S. K., Chowdhury, P., Chowdhury, M. T., Chakrabortty, R. K., & Moktadir, M. A. (2023). Operational challenges during a pandemic: an investigation in the electronics industry. The International Journal of Logistics Management, 34(2), 336-362.
  • Phillips, M., & Lu, J. (2018). A quick look at NVivo. Journal of Electronic Resources Librarianship, 30(2), 104-106.
  • Praptika, I. P. G. E., Yusuf, M., & Heslinga, J. H. (2024). How can communities better prepare for future disasters? Learning from the tourism community resilience model from Bali, Indonesia. Journal of Tourism Futures.
  • Pujawan, I. N., & Bah, A. U. (2022, January). Supply chains under COVID-19 disruptions: literature review and research agenda. Supply Chain Forum: An International Journal, 23(1), 81-95.
  • Rahman, T., Paul, S. K., Shukla, N., Agarwal, R., & Taghikhah, F. (2022). Supply chain resilience initiatives and strategies: A systematic review. Computers & Industrial Engineering, 170, 108317.
  • Rathee, N., Joshi, N., & Kaur, J. (2018, June). Sentiment analysis using machine learning techniques on Python. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 779-785). IEEE.
  • Shih, W. C. (2020). Global supply chains in a post-pandemic world. Harvard Business Review, 98(5), 82-89.
  • Sim, S. (2023). Blockchain for Resilient Halal Food Certification during Post-COVID Era. Journal of Halal Science and Technology, 2(2), 1-18.
  • Sowmya, G., Sridevi, R., Rao, K. S., & Shiramshetty, S. G. (2024). Integrating AI, ML, Blockchain, and IoT for End-to-End Supply Chain Optimization. In Strategic Innovations for Dynamic Supply Chains (pp. 123-146). IGI Global.
  • Struckell, E., Ojha, D., Patel, P. C., & Dhir, A. (2022). Strategic choice in times of stagnant growth and uncertainty: An institutional theory and organizational change perspective. Technological Forecasting and Social Change, 182, 121839.
  • Sürücü, B. (2024). The Evolution of E-Commerce, Its Impact on Supply Chain Innovations, and Significance in the Pandemic Era and Beyond. In Strategic Innovations for Dynamic Supply Chains (pp. 103-122). IGI Global.
  • Tirivangani, T., Alpo, B., Kibuule, D., Gaeseb, J., & Adenuga, B. A. (2021). Impact of COVID-19 pandemic on pharmaceutical systems and supply chain–a phenomenological study. Exploratory Research in clinical and social pharmacy, 2, 100037.
  • Vindrola-Padros, C., & Johnson, G. A. (2020). Rapid techniques in qualitative research: a critical review of the literature. Qualitative health research, 30(10), 1596-1604.
  • Wieland, A., & Durach, C. F. (2021). Two perspectives on supply chain resilience. Journal of Business Logistics, 42(3), 315-322.

Resilience and Innovation Strategies: How Businesses Adapt to Supply Chain Disruptions in the Post-Pandemic Era

Yıl 2024, Cilt: 8 Sayı: 3, 581 - 600
https://doi.org/10.30586/pek.1497718

Öz

The study explores strategies for dealing with supply chain disruptions in various industries in Turkey after the pandemic. The industries studied include manufacturing, pharmaceuticals, automotive, consumer electronics, retail, and food and beverage. The analysis involved using both qualitative data from interviews with six industry experts and quantitative analysis using NVivo and Python. NVivo and Python were utilized for thematic and sentiment analysis to summarize the findings. Common strategies identified include diversifying supply sources, integrating technology, and improving risk management. The study also revealed a consistent shift towards building resilient and agile supply chain systems. Additionally, the findings highlighted that while common strategies apply across different sectors, sector-specific differences also need to be considered when developing tailored strategies to address sector-specific challenges. This study not only addresses a significant gap in empirical insights into post-pandemic supply chain management but also provides managerial and policy recommendations for building supply chain resilience and fostering innovation in these sectors.

Kaynakça

  • Aday, S., & Aday, M. S. (2020). Impact of COVID-19 on the food supply chain. Food Quality and Safety, 4(4), 167-180.
  • Alam, S. T., Ahmed, S., Ali, S. M., Sarker, S., & Kabir, G. (2021). Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals. International Journal of Production Economics, 239, 108193.
  • Butt, A. S. (2022). Building resilience in retail supply chains: Lessons learned from COVID-19 and future pathways. Benchmarking: An International Journal, 29(10), 3057-3078.
  • Cebir, Y., & Akkartal, E. (2024). Digital Twin in Logistics and Supply Chain Management. In Strategic Innovations for Dynamic Supply Chains (pp. 170-192). IGI Global.
  • Chaker, B., & Damak, C. (2024). Integrating Blockchain Technology for Enhanced Transparency and Security in Supply Chains. In Strategic Innovations for Dynamic Supply Chains (pp. 147-169). IGI Global.
  • Chervenkova, T., & Ivanov, D. (2023). Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic. Transportation Research Part E: Logistics and Transportation Review, 177, 103249.
  • Chowdhury, M. T., Sarkar, A., Paul, S. K., & Moktadir, M. A. (2022). A case study on strategies to deal with the impacts of COVID-19 pandemic in the food and beverage industry. Operations Management Research, 15(1), 166-178.
  • Craighead, C. W., Ketchen Jr, D. J., & Darby, J. L. (2020). Pandemics and supply chain management research: toward a theoretical toolbox. Decision Sciences, 51(4), 838-866.
  • de Goeij, C., Gelsomino, L. M., Caniato, F., Moretto, A. M., & Steeman, M. (2021). Understanding SME suppliers' response to supply chain finance: a transaction cost economics perspective. International Journal of Physical Distribution & Logistics Management, 51(8), 813-836.
  • Dwivedi, A., Srivastava, S., Agrawal, D., Jha, A., & Paul, S. K. (2023). Analyzing the inter-relationships of business recovery challenges in the manufacturing industry: Implications for post-pandemic supply chain resilience. Global Journal of Flexible Systems Management, 24(Suppl 1), 31-48.
  • Edwards-Jones, A. (2014). Qualitative data analysis with NVIVO
  • Emenike, S. N., & Falcone, G. (2020). A review on energy supply chain resilience through optimization. Renewable and Sustainable Energy Reviews, 134, 110088.
  • Frederico, G. F. (2021). Towards a supply chain 4.0 on the post-COVID-19 pandemic: a conceptual and strategic discussion for more resilient supply chains. Rajagiri Management Journal, 15(2), 94-104.
  • Ghansah, F. A., & Lu, W. (2024). Managerial framework for quality assurance of cross-border construction logistics and supply chain during pandemic and post-pandemic: lessons from COVID-19 in the world’s factory. Engineering, Construction and Architectural Management.
  • He, Z., Zhang, R., Qiu, Q., & Chen, Z. (2024). Research on industrial structure adjustment and spillover effect in resource-based regions in the post-pandemic era. Plos one, 19(1), e0296772.
  • Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 171-176.
  • Ivanov, D. (2024). Exiting the COVID-19 pandemic: After-shock risks and avoidance of disruption tails in supply chains. Annals of Operations Research, 335(3), 1627-1644.
  • Ivanov, D. (2024). Transformation of supply chain resilience research through the COVID-19 pandemic. International Journal of Production Research, 1-22.
  • Judi, T. E., & Kurniawan, D. (2024). Public policy and organizational resilience: Leadership, innovation, and sustainability in the post-pandemic era. Manajemen dan Bisnis, 23(1), 197-212.
  • Karmaker, C. L., Bari, A. M., Anam, M. Z., Ahmed, T., Ali, S. M., de Jesus Pacheco, D. A., & Moktadir, M. A. (2023). Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy. International Journal of Production Economics, 258, 108806.
  • Kaur, C., & Sharma, A. (2020, October). Social issues sentiment analysis using python. In 2020 5th international conference on computing, communication and security (ICCCS) (pp. 1-6). IEEE.
  • Li, G., Arisian, S., Chen, G., & Sethi, S. P. (2024). Editorial note for special issue on “Enhancing supply chain resiliency in an era of reglobalization”. International Journal of Logistics Research and Applications, 1-3.
  • Mahmoudi, A., Jemielniak, D., & Ciechanowski, L. (2024). Assessing Accuracy: A Study of Lexicon and Rule-Based Packages in R and Python for Sentiment Analysis. IEEE Access.
  • Mittal, R., & Sinha, P. (2022). Framework for a resilient religious tourism supply chain for mitigating post-pandemic risk. International Hospitality Review, 36(2), 322-339.
  • Mızrak, F. (2024). Strategic Innovations for Dynamic Supply Chains. IGI Global.
  • Moosavi, J., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2022). Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. International Journal of Disaster Risk Reduction, 75, 102983.
  • Nassaji, H. (2020). Good qualitative research. Language Teaching Research, 24(4), 427-431.
  • Nayak, B., Bhattacharyya, S. S., & Krishnamoorthy, B. (2023). Integrating the dialectic perspectives of resource-based view and industrial organization theory for competitive advantage–a review and research agenda. Journal of Business & Industrial Marketing, 38(3), 656-679.
  • Pandey, B. K., Kanike, U. K., George, A. S., & Pandey, D. (Eds.). (2024). AI and Machine Learning Impacts in Intelligent Supply Chain. IGI Global.
  • Paul, S. K., Chowdhury, P., Chowdhury, M. T., Chakrabortty, R. K., & Moktadir, M. A. (2023). Operational challenges during a pandemic: an investigation in the electronics industry. The International Journal of Logistics Management, 34(2), 336-362.
  • Phillips, M., & Lu, J. (2018). A quick look at NVivo. Journal of Electronic Resources Librarianship, 30(2), 104-106.
  • Praptika, I. P. G. E., Yusuf, M., & Heslinga, J. H. (2024). How can communities better prepare for future disasters? Learning from the tourism community resilience model from Bali, Indonesia. Journal of Tourism Futures.
  • Pujawan, I. N., & Bah, A. U. (2022, January). Supply chains under COVID-19 disruptions: literature review and research agenda. Supply Chain Forum: An International Journal, 23(1), 81-95.
  • Rahman, T., Paul, S. K., Shukla, N., Agarwal, R., & Taghikhah, F. (2022). Supply chain resilience initiatives and strategies: A systematic review. Computers & Industrial Engineering, 170, 108317.
  • Rathee, N., Joshi, N., & Kaur, J. (2018, June). Sentiment analysis using machine learning techniques on Python. In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 779-785). IEEE.
  • Shih, W. C. (2020). Global supply chains in a post-pandemic world. Harvard Business Review, 98(5), 82-89.
  • Sim, S. (2023). Blockchain for Resilient Halal Food Certification during Post-COVID Era. Journal of Halal Science and Technology, 2(2), 1-18.
  • Sowmya, G., Sridevi, R., Rao, K. S., & Shiramshetty, S. G. (2024). Integrating AI, ML, Blockchain, and IoT for End-to-End Supply Chain Optimization. In Strategic Innovations for Dynamic Supply Chains (pp. 123-146). IGI Global.
  • Struckell, E., Ojha, D., Patel, P. C., & Dhir, A. (2022). Strategic choice in times of stagnant growth and uncertainty: An institutional theory and organizational change perspective. Technological Forecasting and Social Change, 182, 121839.
  • Sürücü, B. (2024). The Evolution of E-Commerce, Its Impact on Supply Chain Innovations, and Significance in the Pandemic Era and Beyond. In Strategic Innovations for Dynamic Supply Chains (pp. 103-122). IGI Global.
  • Tirivangani, T., Alpo, B., Kibuule, D., Gaeseb, J., & Adenuga, B. A. (2021). Impact of COVID-19 pandemic on pharmaceutical systems and supply chain–a phenomenological study. Exploratory Research in clinical and social pharmacy, 2, 100037.
  • Vindrola-Padros, C., & Johnson, G. A. (2020). Rapid techniques in qualitative research: a critical review of the literature. Qualitative health research, 30(10), 1596-1604.
  • Wieland, A., & Durach, C. F. (2021). Two perspectives on supply chain resilience. Journal of Business Logistics, 42(3), 315-322.
Toplam 43 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Makaleler
Yazarlar

Filiz Mızrak 0000-0002-3472-394X

Erken Görünüm Tarihi 25 Eylül 2024
Yayımlanma Tarihi
Gönderilme Tarihi 7 Haziran 2024
Kabul Tarihi 3 Ağustos 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 3

Kaynak Göster

APA Mızrak, F. (2024). Resilience and Innovation Strategies: How Businesses Adapt to Supply Chain Disruptions in the Post-Pandemic Era. Politik Ekonomik Kuram, 8(3), 581-600. https://doi.org/10.30586/pek.1497718

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