Araştırma Makalesi
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YAPAY ZEKA VE BLOKZİNCİR TEKNOLOJİLERİNİN TEDARİK ZİNCİRİ DAYANIKLILIĞI ÜZERİNE ETKİSİ

Yıl 2025, Cilt: 13 Sayı: 2, 58 - 76, 02.01.2026
https://doi.org/10.18825/iremjournal.1770609
https://izlik.org/JA83WH82HC

Öz

Bu çalışmanın amacı, yapay zeka ve blokzincir teknolojilerinin tedarik zinciri dayanıklılığı üzerindeki etkilerini ampirik olarak araştırmaktır. Bu amaç doğrultusunda, Kocaeli ve İstanbul’da çeşitli sektörlerde faaliyet gösteren firmaların orta ve üst düzey yöneticileriyle iletişime geçilerek, anket tekniğiyle 237 yöneticiden veri elde edilmiştir. Araştırma hipotezleri yapısal eşitlik modeli ile test edilmiştir. Bulgular, yapay zeka ile tedarik zinciri dayanıklılığı arasında pozitif bir ilişki olduğunu göstermektedir. Ancak, blokzincir teknolojisi ile tedarik zinciri dayanıklılığı arasında anlamlı bir ilişki bulunamamıştır.

Kaynakça

  • Al-Swidi, A. K., Al-Hakimi, M. A., Al-Hosam, A., & Al Koliby, I. S. (2024a). When does entrepreneurial leadership enhance supply chain resilience? A three-way interaction analysis. Journal of Enterprise Information Management, 37(6): 1788-1808.
  • Al-Swidi, A. K., Al-Hakimi, M. A., Al Halbusi, H., Al Harbi, J. A., & Al-Hattami, H. M. (2024b). Does blockchain technology matter for supply chain resilience in dynamic environments? The role of supply chain integration. Plos One, 19(1): e0295452.
  • Amoako, G., Omari, P., Kumi, D. K., Agbemabiase, G. C., & Asamoah, G. (2021). Conceptual framework—artificial intelligence and better entrepreneurial decision-making: The influence of customer preference, industry benchmark, and employee involvement in an emerging market. Journal of Risk and Financial Management, 14(12): 604.
  • Azzi, R., Chamoun, R. K., & Sokhn, M. (2019). The power of a blockchain-based supply chain. Computers & Industrial Engineering, 135: 582-592.
  • Beta, K., Nagaraj, S. S., & Weerasinghe, T. D. (2025). The role of artificial intelligence on supply chain resilience. Journal of Enterprise Information Management, 38(3): 950-973.
  • Casado-Vara, R., Prieto, J., De la Prieta, F., & Corchado, J. M. (2018). How blockchain improves the supply chain: Case study alimentary supply chain. Procedia Computer Science, 134: 393-398.
  • Cozzio, C., Viglia, G., Lemarie, L., & Cerutti, S. (2023). Toward an integration of blockchain technology in the food supply chain. Journal of Business Research, 162:113909.
  • Culot, G., Podrecca, M., & Nassimbeni, G. (2024). Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions. Computers in Industry, 162: 104132.
  • Datta, S., Jauhar, S. K., & Paul, S. K. (2023). Leveraging blockchain to improve nutraceutical supply chain resilience under post-pandemic disruptions. Computers & Industrial Engineering, 183: 109475.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1):39–51.
  • Gunasekaran, A., Subramanian, N., & Rahman, S. (2015). Supply chain resilience: Role of complexities and strategies. International Journal of Production Research, 53(22): 6809-6819.
  • Gupta, S., Modgil, S., Choi, T. M., Kumar, A., & Antony, J. (2023). Influences of artificial intelligence and blockchain technology on financial resilience of supply chains. International Journal of Production Economics, 261: 108868.
  • Gupta, R., Meena, A., & Dhir, S. (2024). Blockchain in the age of industrial revolution: A systematic literature review using bibliometric analysis. Global Business and Organizational Excellence, 43(5): 5-23.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
  • Helo, P., & Hao, Y. (2022). Artificial intelligence in operations management and supply chain management: An exploratory case study. Production Planning & Control, 33(16): 1573-1590.
  • Hohenstein, N. O., Feisel, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. International Journal of Physical Distribution & Logistics Management, 45(1/2): 90-117.
  • Huang, C.-K., & Lin, J.-S. (2025). Firm performance on artificial intelligence implementation. Managerial and Decision Economics, 46(3): 1856-1870.
  • Iansiti, M., & Lakhani, K. R. (2017). The truth about blockchain. Harvard Business Review, 95(1): 118-127.
  • Ivanov, D., Blackhurst, J., & Das, A. (2021). Supply chain resilience and its interplay with digital technologies: Making innovations work in emergency situations. International Journal of Physical Distribution & Logistics Management, 51(2): 97-103.
  • Jabbar, S., Lloyd, H., Hammoudeh, M., Adebisi, B., & Raza, U. (2021). Blockchain-enabled supply chain: Analysis, challenges, and future directions. Multimedia Systems, 27: 787-806.
  • Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Suman, R. (2021). Blockchain technology applications for Industry 4.0: A literature-based review. Blockchain: Research and Applications, 2(4): 100027.
  • Khan, S., Zehra, F. T., & Khan, S. (2024). Optimizing organizational agility: The symbiotic impact of AI-enhanced supply chain collaboration and risk management on performance and flexibility. Engineering Proceedings, 76(1): 68.
  • Khan, S. A. R., Sheikh, A. A., Shamsi, I. R. A., & Yu, Z. (2025). The implications of artificial intelligence for small and medium-sized enterprises’ sustainable development in the areas of blockchain technology, supply chain resilience, and closed-loop supply chains. Sustainability, 17(1): 334.
  • Köhler, S., & Pizzol, M. (2020). Technology assessment of blockchain-based technologies in the food supply chain. Journal of Cleaner Production, 269: 122193.
  • Le, T. T., & Behl, A. (2023). Linking artificial intelligence and supply chain resilience: Roles of dynamic capabilities mediator and open innovation moderator. IEEE Transactions on Engineering Management, 71: 8577-8590.
  • Li, P., Chen, Y., & Guo, X. (2025a). Digital transformation and supply chain resilience. International Review of Economics & Finance, 99: 104033.
  • Li, X., Zhao, H., Mehrotra, A., Gugnani, R., & Agarwal, V. (2025b). Harmonizing fintech and supply chain resilience: Unveiling the role of blockchain integration, incentives, and resilience. IEEE Transactions on Engineering Management, 72: 2661-2672.
  • Liu, Y., Fang, W., Feng, T., & Xi, M. (2024). Blockchain technology adoption and supply chain resilience: Exploring the role of transformational supply chain leadership. Supply Chain Management: An International Journal, 29(2): 371-387.
  • Lohmer, J., Bugert, N., & Lasch, R. (2020). Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study. International Journal of Production Economics, 228: 107882.
  • Manzoor, R., Sahay, B. S., & Singh, S. K. (2024). Examining the factors that facilitate or hinder the use of blockchain technology to enhance the resilience of supply chains. IEEE Transactions on Engineering Management, 71: 10626-10649.
  • Manzoor, R., Sahay, B. S., Gumte, K., & Singh, S. K. (2025). Blockchain-backed resilient strategies in a stochastic supply chain sourcing and distribution environment under disruption: Implications for B2B sector. Journal of Business & Industrial Marketing, 40(1): 223-249.
  • Mariani, M. M., Machado, I., Magrelli, V., & Dwivedi, Y. K. (2023). Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation, 122: 102623.
  • Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3): 103434.
  • Min, H. (2019). Blockchain technology for enhancing supply chain resilience. Business Horizons, 62(1): 35-45. Moosavi, J., Naeni, L. M., Fathollahi-Fard, A. M., & Fiore, U. (2021). Blockchain in supply chain management: A review, bibliometric, and network analysis. Environmental Science and Pollution Research, 1-15.
  • Nagariya, R., Mukherjee, S., Baral, M. M., & Chittipaka, V. (2024). Analyzing blockchain-based supply chain resilience strategies: Resource-based perspective. International Journal of Productivity and Performance Management, 73(4): 1088-1116.
  • Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
  • Pandey, A. K., Daultani, Y., & Pratap, S. (2024). Blockchain technology enabled critical success factors for supply chain resilience and sustainability. Business Strategy and the Environment, 33(2): 1533-1554.
  • Pattanayak, S., Arputham, R. M., Goswami, M., & Rana, N. P. (2023). Blockchain technology and its relationship with supply chain resilience: A dynamic capability perspective. IEEE Transactions on Engineering Management, 71: 10398-10412.
  • 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.
  • Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1): 124-143.
  • Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial intelligence applications in supply chain management. International Journal of Production Economics, 241: 108250.
  • Queiroz, M. M., Telles, R., & Bonilla, S. H. (2020). Blockchain and supply chain management integration: A systematic review of the literature. Supply Chain Management: An International Journal, 25(2): 241-254.
  • Roberta Pereira, C., Christopher, M., & Lago Da Silva, A. (2014). Achieving supply chain resilience: The role of procurement. Supply Chain Management: An International Journal, 19(5/6): 626-642.
  • Singh, R. K., Modgil, S., & Shore, A. (2024). Building artificial intelligence enabled resilient supply chain: A multi-method approach. Journal of Enterprise Information Management, 37(2): 414-436.
  • Singh, D., Sharma, A., Singh, R. K., & Rana, P. S. (2025). Artificial intelligence enabled supply chain resilience: Insights from FMCG industry. Journal of Global Operations and Strategic Sourcing, 18(2): 414-441.
  • Smyth, C., Dennehy, D., Fosso Wamba, S., Scott, M., & Harfouche, A. (2024). Artificial intelligence and prescriptive analytics for supply chain resilience: A systematic literature review and research agenda. International Journal of Production Research, 62(23): 8537-8561.
  • Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122: 502-517.
  • Tukamuhabwa, B. R., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: Definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18): 5592-5623.
  • Um, J., & Han, N. (2021). Understanding the relationships between global supply chain risk and supply chain resilience: The role of mitigating strategies. Supply Chain Management: An International Journal, 26(2): 240-255.
  • Vern, P., Panghal, A., Mor, R. S., & Kamble, S. S. (2025). Blockchain technology in the agri-food supply chain: A systematic literature review of opportunities and challenges. Management Review Quarterly, 75(1): 643-675.
  • Wamba, S. F. (2022). Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility. International Journal of Information Management, 67: 102544.
  • Yue, X., Kang, M., & Zhang, Y. (2025). The impact of artificial intelligence usage on supply chain resilience in manufacturing firms: A moderated mediation model. Journal of Manufacturing Technology Management, 36(4): 759-776.
  • Zhang, Y., Tavalaei, M. M., Parry, G., & Zhou, P. (2024). Evolution or involution? A systematic literature review of organisations’ blockchain adoption factors. Technological Forecasting and Social Change, 208: 123710.

THE EFFECTS OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGIES ON SUPPLY CHAIN RESILIENCE

Yıl 2025, Cilt: 13 Sayı: 2, 58 - 76, 02.01.2026
https://doi.org/10.18825/iremjournal.1770609
https://izlik.org/JA83WH82HC

Öz

The purpose of this study is to empirically investigate the effects of artificial intelligence and blockchain technologies on supply chain resilience. To achieve this objective, data were collected from 237 mid- and senior-level managers through a survey conducted with firms operating in various sectors in Kocaeli and Istanbul. The research hypotheses were tested using structural equation modeling. The findings indicate a positive relationship between artificial intelligence and supply chain resilience. However, no significant relationship was found between blockchain technology and supply chain resilience.

Kaynakça

  • Al-Swidi, A. K., Al-Hakimi, M. A., Al-Hosam, A., & Al Koliby, I. S. (2024a). When does entrepreneurial leadership enhance supply chain resilience? A three-way interaction analysis. Journal of Enterprise Information Management, 37(6): 1788-1808.
  • Al-Swidi, A. K., Al-Hakimi, M. A., Al Halbusi, H., Al Harbi, J. A., & Al-Hattami, H. M. (2024b). Does blockchain technology matter for supply chain resilience in dynamic environments? The role of supply chain integration. Plos One, 19(1): e0295452.
  • Amoako, G., Omari, P., Kumi, D. K., Agbemabiase, G. C., & Asamoah, G. (2021). Conceptual framework—artificial intelligence and better entrepreneurial decision-making: The influence of customer preference, industry benchmark, and employee involvement in an emerging market. Journal of Risk and Financial Management, 14(12): 604.
  • Azzi, R., Chamoun, R. K., & Sokhn, M. (2019). The power of a blockchain-based supply chain. Computers & Industrial Engineering, 135: 582-592.
  • Beta, K., Nagaraj, S. S., & Weerasinghe, T. D. (2025). The role of artificial intelligence on supply chain resilience. Journal of Enterprise Information Management, 38(3): 950-973.
  • Casado-Vara, R., Prieto, J., De la Prieta, F., & Corchado, J. M. (2018). How blockchain improves the supply chain: Case study alimentary supply chain. Procedia Computer Science, 134: 393-398.
  • Cozzio, C., Viglia, G., Lemarie, L., & Cerutti, S. (2023). Toward an integration of blockchain technology in the food supply chain. Journal of Business Research, 162:113909.
  • Culot, G., Podrecca, M., & Nassimbeni, G. (2024). Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions. Computers in Industry, 162: 104132.
  • Datta, S., Jauhar, S. K., & Paul, S. K. (2023). Leveraging blockchain to improve nutraceutical supply chain resilience under post-pandemic disruptions. Computers & Industrial Engineering, 183: 109475.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1):39–51.
  • Gunasekaran, A., Subramanian, N., & Rahman, S. (2015). Supply chain resilience: Role of complexities and strategies. International Journal of Production Research, 53(22): 6809-6819.
  • Gupta, S., Modgil, S., Choi, T. M., Kumar, A., & Antony, J. (2023). Influences of artificial intelligence and blockchain technology on financial resilience of supply chains. International Journal of Production Economics, 261: 108868.
  • Gupta, R., Meena, A., & Dhir, S. (2024). Blockchain in the age of industrial revolution: A systematic literature review using bibliometric analysis. Global Business and Organizational Excellence, 43(5): 5-23.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
  • Helo, P., & Hao, Y. (2022). Artificial intelligence in operations management and supply chain management: An exploratory case study. Production Planning & Control, 33(16): 1573-1590.
  • Hohenstein, N. O., Feisel, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. International Journal of Physical Distribution & Logistics Management, 45(1/2): 90-117.
  • Huang, C.-K., & Lin, J.-S. (2025). Firm performance on artificial intelligence implementation. Managerial and Decision Economics, 46(3): 1856-1870.
  • Iansiti, M., & Lakhani, K. R. (2017). The truth about blockchain. Harvard Business Review, 95(1): 118-127.
  • Ivanov, D., Blackhurst, J., & Das, A. (2021). Supply chain resilience and its interplay with digital technologies: Making innovations work in emergency situations. International Journal of Physical Distribution & Logistics Management, 51(2): 97-103.
  • Jabbar, S., Lloyd, H., Hammoudeh, M., Adebisi, B., & Raza, U. (2021). Blockchain-enabled supply chain: Analysis, challenges, and future directions. Multimedia Systems, 27: 787-806.
  • Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Suman, R. (2021). Blockchain technology applications for Industry 4.0: A literature-based review. Blockchain: Research and Applications, 2(4): 100027.
  • Khan, S., Zehra, F. T., & Khan, S. (2024). Optimizing organizational agility: The symbiotic impact of AI-enhanced supply chain collaboration and risk management on performance and flexibility. Engineering Proceedings, 76(1): 68.
  • Khan, S. A. R., Sheikh, A. A., Shamsi, I. R. A., & Yu, Z. (2025). The implications of artificial intelligence for small and medium-sized enterprises’ sustainable development in the areas of blockchain technology, supply chain resilience, and closed-loop supply chains. Sustainability, 17(1): 334.
  • Köhler, S., & Pizzol, M. (2020). Technology assessment of blockchain-based technologies in the food supply chain. Journal of Cleaner Production, 269: 122193.
  • Le, T. T., & Behl, A. (2023). Linking artificial intelligence and supply chain resilience: Roles of dynamic capabilities mediator and open innovation moderator. IEEE Transactions on Engineering Management, 71: 8577-8590.
  • Li, P., Chen, Y., & Guo, X. (2025a). Digital transformation and supply chain resilience. International Review of Economics & Finance, 99: 104033.
  • Li, X., Zhao, H., Mehrotra, A., Gugnani, R., & Agarwal, V. (2025b). Harmonizing fintech and supply chain resilience: Unveiling the role of blockchain integration, incentives, and resilience. IEEE Transactions on Engineering Management, 72: 2661-2672.
  • Liu, Y., Fang, W., Feng, T., & Xi, M. (2024). Blockchain technology adoption and supply chain resilience: Exploring the role of transformational supply chain leadership. Supply Chain Management: An International Journal, 29(2): 371-387.
  • Lohmer, J., Bugert, N., & Lasch, R. (2020). Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study. International Journal of Production Economics, 228: 107882.
  • Manzoor, R., Sahay, B. S., & Singh, S. K. (2024). Examining the factors that facilitate or hinder the use of blockchain technology to enhance the resilience of supply chains. IEEE Transactions on Engineering Management, 71: 10626-10649.
  • Manzoor, R., Sahay, B. S., Gumte, K., & Singh, S. K. (2025). Blockchain-backed resilient strategies in a stochastic supply chain sourcing and distribution environment under disruption: Implications for B2B sector. Journal of Business & Industrial Marketing, 40(1): 223-249.
  • Mariani, M. M., Machado, I., Magrelli, V., & Dwivedi, Y. K. (2023). Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation, 122: 102623.
  • Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3): 103434.
  • Min, H. (2019). Blockchain technology for enhancing supply chain resilience. Business Horizons, 62(1): 35-45. Moosavi, J., Naeni, L. M., Fathollahi-Fard, A. M., & Fiore, U. (2021). Blockchain in supply chain management: A review, bibliometric, and network analysis. Environmental Science and Pollution Research, 1-15.
  • Nagariya, R., Mukherjee, S., Baral, M. M., & Chittipaka, V. (2024). Analyzing blockchain-based supply chain resilience strategies: Resource-based perspective. International Journal of Productivity and Performance Management, 73(4): 1088-1116.
  • Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
  • Pandey, A. K., Daultani, Y., & Pratap, S. (2024). Blockchain technology enabled critical success factors for supply chain resilience and sustainability. Business Strategy and the Environment, 33(2): 1533-1554.
  • Pattanayak, S., Arputham, R. M., Goswami, M., & Rana, N. P. (2023). Blockchain technology and its relationship with supply chain resilience: A dynamic capability perspective. IEEE Transactions on Engineering Management, 71: 10398-10412.
  • 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.
  • Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1): 124-143.
  • Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial intelligence applications in supply chain management. International Journal of Production Economics, 241: 108250.
  • Queiroz, M. M., Telles, R., & Bonilla, S. H. (2020). Blockchain and supply chain management integration: A systematic review of the literature. Supply Chain Management: An International Journal, 25(2): 241-254.
  • Roberta Pereira, C., Christopher, M., & Lago Da Silva, A. (2014). Achieving supply chain resilience: The role of procurement. Supply Chain Management: An International Journal, 19(5/6): 626-642.
  • Singh, R. K., Modgil, S., & Shore, A. (2024). Building artificial intelligence enabled resilient supply chain: A multi-method approach. Journal of Enterprise Information Management, 37(2): 414-436.
  • Singh, D., Sharma, A., Singh, R. K., & Rana, P. S. (2025). Artificial intelligence enabled supply chain resilience: Insights from FMCG industry. Journal of Global Operations and Strategic Sourcing, 18(2): 414-441.
  • Smyth, C., Dennehy, D., Fosso Wamba, S., Scott, M., & Harfouche, A. (2024). Artificial intelligence and prescriptive analytics for supply chain resilience: A systematic literature review and research agenda. International Journal of Production Research, 62(23): 8537-8561.
  • Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122: 502-517.
  • Tukamuhabwa, B. R., Stevenson, M., Busby, J., & Zorzini, M. (2015). Supply chain resilience: Definition, review and theoretical foundations for further study. International Journal of Production Research, 53(18): 5592-5623.
  • Um, J., & Han, N. (2021). Understanding the relationships between global supply chain risk and supply chain resilience: The role of mitigating strategies. Supply Chain Management: An International Journal, 26(2): 240-255.
  • Vern, P., Panghal, A., Mor, R. S., & Kamble, S. S. (2025). Blockchain technology in the agri-food supply chain: A systematic literature review of opportunities and challenges. Management Review Quarterly, 75(1): 643-675.
  • Wamba, S. F. (2022). Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility. International Journal of Information Management, 67: 102544.
  • Yue, X., Kang, M., & Zhang, Y. (2025). The impact of artificial intelligence usage on supply chain resilience in manufacturing firms: A moderated mediation model. Journal of Manufacturing Technology Management, 36(4): 759-776.
  • Zhang, Y., Tavalaei, M. M., Parry, G., & Zhou, P. (2024). Evolution or involution? A systematic literature review of organisations’ blockchain adoption factors. Technological Forecasting and Social Change, 208: 123710.
Toplam 53 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İnovasyon Yönetimi, Strateji, Yönetim ve Örgütsel Davranış (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Salih Zeki İmamoğlu 0000-0002-7160-2370

Hülya Türkcan 0000-0001-7452-0461

Levent Özdemir 0009-0003-7281-2016

Gönderilme Tarihi 22 Ağustos 2025
Kabul Tarihi 8 Ekim 2025
Yayımlanma Tarihi 2 Ocak 2026
DOI https://doi.org/10.18825/iremjournal.1770609
IZ https://izlik.org/JA83WH82HC
Yayımlandığı Sayı Yıl 2025 Cilt: 13 Sayı: 2

Kaynak Göster

APA İmamoğlu, S. Z., Türkcan, H., & Özdemir, L. (2026). YAPAY ZEKA VE BLOKZİNCİR TEKNOLOJİLERİNİN TEDARİK ZİNCİRİ DAYANIKLILIĞI ÜZERİNE ETKİSİ. International Review of Economics and Management, 13(2), 58-76. https://doi.org/10.18825/iremjournal.1770609