Covid-19 pandemisinin tedarik zinciri, yapay zeka ve teknoloji toplumu üzerindeki etkisi: Gini katsayısı ve ekonomik büyüme değerlendirmesi

Yıl 2022, Cilt: 15 Sayı: 4, 1074 - 1086, 25.10.2022

Hacı Bayram İrhan

Öz

Bu çalışmanın odak noktası tedarik zinciri, yapay zeka ve beşeri sermayenin dijitalleştirilmesidir. Bu çalışmanın amacı, ilgili alandaki çalışma boşluklarının giderilerek literatüre katkıda bulunmaktır. Ayrıca, Covıd-19 sonrası dönemde ve teknoloji toplumu ötesinde tedarik zinciri, yapay zeka ve istihdam arasındaki ilişkiyi açıklamayı amaçlamaktadır. Çalışmanın bulguları, pandemi sırasında tedarik zinciri mekanizmasındaki kırılganlıkların küresel ekonomik paradigmaları etkilediğini göstermektedir. Ayrıca bu çalışma, Covıd-19 döneminde ve sonrasında yapay zeka odaklı tedarik zincirini incelemektedir. Yapay zeka odaklı tedarik zincirini rekabet, istihdam ve sürdürülebilirlik ile ilişkilendirmesi önemlidir. Bu çalışma, Covıd-19'un tedarik zinciri üzerindeki etkisinin bileşenlerini bir küme olarak sunması bakımından benzersizdir.Makalenin ilk bölümünde ilgili literatür gözden geçirilmiştir. İkinci bölümde ise Covıd-19 pandemisi sırasında tedarik zinciri, yapay zeka, enflasyon ve reel ücretler arasındaki ilişki açıklanmaktadır. Çalışmanın üçüncü bölümünde Covıd-19 pandemisine ilişkin ekonomik büyüme değerlendirmeleri Gını katsayısına göre yapılmıştır. Sonuç olarak, bu çalışmayapay zeka odaklı tedarik zinciri ile teknoloji toplumunda,istihdam ve ekonomik gelişim arasında bağ kurarak Gini katsayısının düşürülmesini önermektedir.

Anahtar Kelimeler

Covid-19, Yapay Zeka, Teknoloji Toplumu, Ekonomik Büyüme

Destekleyen Kurum

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Proje Numarası

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Teşekkür

çalışmalarımızın devamına katkı sağlaması

The impact of the Covid-19 pandemic on supply chain, artificial intelligence, and technology community: The Gini coefficient and an economic growth assessment

Öz

The focus of this study is the digitalization of the supply chain, artificial intelligence, and human capital. It aims to contribute to the literature by addressing the gaps in this field. It also seeks to explain the relationship between supply chain, artificial intelligence, and employment in the post-Covid-19 era and in the post-technology society. Findings of the study show that vulnerabilities in the supply chain mechanism during the pandemic have affected global economic paradigms. In addition, this study examines the artificial intelligence-oriented supply chain during and after the Covid-19 era. It is important in that it associates artificial intelligence-oriented supply chain with competition, employment, and sustainability. This study is unique in that it presents the components of Covid-19’s impact on the supply chain as a cluster.
In the first part of the article, related literature is reviewed. In the second part, the relationship between supply chain, artificial intelligence, inflation, and real wages during the Covid-19 pandemic is explained. In the third part of the study, economic growth evaluations regarding the Covid-19 pandemic are made based on the Gini coefficient. As a result, it is worth noting that this study suggests lowering the Gini coefficient by linking the artificial intelligence- oriented supply chain to employment and development in the technology society.

Anahtar Kelimeler

Covid-19, Artificial Intelligence, Technology Community, Economic Growth

Proje Numarası

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Kaynakça

• Abuselidze, G. & L. Mamaladze (2021). “The impact of artificial intelligence on employment before and during pandemic: A Comparative analysis”, Journal of Physics: Conference Series- 1840-012040, IOP Publishing. doi: 10.1088/1742-6596/1840/1/012040.
• Albanico, M., Mladenov, Z. & Sharma, R. (2020), “How the COVID-19 Crisis is Affecting U.K.” Small and Medium-Sized Enterprises, McKinsey and Company.
• Amin, I., Zailani, S. & Khalilurrahman, M. (2021). “Predicting employees’ engagement in environmental behaviours with supply chain firms”, Management Research Review- Vol.44(6)-ISSN:2040-8269.
• Azzi, R., Rima, K.C. & Sokhn, M. (2019). “The Power of a Blockchain-Based Supply Chain”, Computers and Industrial Engineering–Elsevier Publ. Vol.135. https:// doi.org/10. 10 16/j.cie.2019.06.042.
• Barua, S. (2020), “Understanding coronanomics: the economic implications of the coronavirus (COVID19) pandemic”, SSRN Electronic Journal, doi: 10.2139/ssrn.3566477.
• Beech, N. & Anseel, F. (2020), “COVID-19 and its impact on management research and education: threats, opportunities, and a manifesto”, British Journal of Management, Vol. 31 No. 4.
• Bofinger, P., Dullien, S., Felbermayr, G., Fuest, C., Hüther, M., Südekum, J. & Weder di Mauro, B. (2020), “Economic implications of the corona crisis and economic policy measures”, Wirtschaftsdienst, Vol. 100 -No. 4.
• Botev, J., Egert, B., Smidova, Z. & Turner, D. (2019). “A New Macro Economıc Measure of Human Capıtal with Strong Empırıcal Lınks to Productıvıty”, OECD: Economics Department Working Papers No:1575. https://doi.org/10.1787/d12d7305-en
• Budhwar, P. & Cumming, D. (2020), “New directions in management research and communication: lessons from the COVID-19 pandemic”, British Journal of Management, Vol. 31 No. 3, p. 441.
• Caligiuri, P., De Cieri, H., Minbaeva, D., Verbeke, A. & Zimmermann, A. (2020), “International HRM insights for navigating the COVID-19 pandemic: implications for future research and practice”, Journal of International Business Studies, Vol. 1.
• Chandra, G., Gupta, R. & Agarwal, N.(2020).”Role of Artificial Intelligence in Transformating the Justice Delivery System in COVID-19 Pandemic”, International Journal on Emerging Technologies,11(3).
• Chen, Z. (2020), “COVID-19: a revelation – a reply to Ian Mitroff”, Technological Forecasting and Social Change, Vol. 156, p. 120072.
• Coe, N.M., Dicken, P. & Hess, M. (2008). Global Production Networks: Realizing the Potential. Journal of Economic Geography, 8(3), Economic Geography Research Group – Wprking Paper Series No.05.07. doi:10.1093/jeg/lbn002
• Cui, Y.(2015). “Improving Supply Chain Resilience with Employment of IoT”, MISCN- Multidisciplinary Social Networks Research Vol.540, Springer- Berlin-Heidelberg. Online ISBN978-3-662-48319-. https://doi.org/10.1007/978-662-48319-0_33.
• Chris, W.F. & Kaine, S. (2015). “Supply chains , production networks and the employment relationship”, Journal of Industrial Relations-Vol.57(4). https:// doi.org/ 10. 11 77/ 0022185 6 15589447.
• Dujak, Davor & Sajter, D. (2018). “Blockchain Applications in Supply Chain”, Smart Supply Network-Springer. doi: 10.1007/978-3-319-91668-2_2.
• Gary, J., Nyaga, G.N. & Zepeda, E.D. (2016). “Hospital employment of physicians and supply chain performance An empirical investigation”, Health Care Management Review: 7/9 Vol. 41(3). doi: 10.1097/HMR.0000000000000074.
• Flabbi, L. & Gatti, R.(2018), “A Primer on Human Capital”, World Bank Policy Research Paper No. 8309.
• Fomina, S., Sizikova, V., Shimanovskaya, S. & Kozlovskaya, A. (2019). “The Effect of Teaching and Supply Chain Management on Employees’ Skills in Small and Medium Sized Enterprises of Russia “, International Journal of Supply Chain Management -IJSCM, Vol.8(4). ISSN: 2050-7399.
• Jorda, O., Singh, S.R. & Taylor, A.M. (2020). Longer-run economic consequences of pandemics (No. w26934), National Bureau of Economic Research. Kaiser, V.T. (2018). “Roboter werden in Deutschland besonders viele Jobs vernichten” OECD-STUDIE, in Brüssel.
• Keynes, J. M. (1937). “The General Theory of Employment” The Quarterly Journal of Economics vol.51(2).
• Kummitha, R.K.R. (2020), “Smart technologies for fighting pandemics: the techno-and human-driven approaches in controlling the virus transmission”, Government Information Quarterly, Vol. 37 No. 3.
• Moser, T. F.(1993). “Promotingn Sustainable Development Through The Enhancement and Supply Chain Opportunities Generated by Energy Companies”, Social Performance Management Unit, Shell International –UK.
• Naudé, W.(2020). ”Artificial Intelligence Against COVID-19: An Early Review”, IZA Discussion Paper No.13110, IZA Institute of Labor Economics. OECD (2018). Economic Policy Reforms -2018: Going for Growth Interim Report, OECD Publishing, Paris.
• OECD(2020). OECD Economic Outlook -2020. OECD Publishing, Paris. OECD(2021). OECD Economic Outlook No :109.(Edition:2021/1). Robinson, P. K. & Rainbird H. (2013). “Internatıonal Supply Chains and The Labour Process”, Competition and Change vol.17(1)-SAGE Journals, https://doi.org/ 10. 11 7 9/10245 2 9412Z.00000000027.
• Singsa, A., Sriyakul, T., Sutduean, J. & Jermsittıparsert, K.(2019). “Willingness of Supply Chain Employees to Support Disability Management at Workplace: A Case of Indonesian Supply Chain Companies”, Journal of Computational and Theoretical Nano science-American Scientific Publ., Vol.16(7). https:// doi.org /10.116 6/jctn.2019.8205.
• Sriyakul, T., Sutduean, J., Jermsittıparsert, K. & Singsa, A. (2019). “Effect of Cultural Traits, Leadership Styles and Commitment to Change on Supply Chain Operational Excellence”, Journal of Computational and Theoretical Nanoscience-American Scientific Publishers, Vol.16(7). https:// doi.org /10.116 6/jctn.2019.8203.
• Stiglitz, J., Ahmed, F., Ahmed, N.E. & Pissarides, C. (2020), “Why inequality could spread COVID-19”, The Lancet Public Health, Vol. 5 No. 5. TÜİK: https:// www. tüik.gov.tr (Erişim tarihi: 10.10.2021).
• Van Barneveld, K., Quinlan, M., Kriesler, P., Junor, A., Baum, F., Chowdhury & A., Friel, S. (2020). “The COVID-19 pandemic: lessons on building more equal and sustainable societies”, The Economic and Labour Relations Review, Vol. 31 No. 2.
• Yeganeh, H.(2021). “Emerging social and business trends associated with the Covid-19 pandemic” , Critical Perspectives on International Business, Vol. 17 No. 2, Emerald Publishing 1742-2043 DOI 10.1108/cpoib-05-2020-0066.
• Young, G. J., Zepeda, E.D. & Nyaga G.N.(2016). “Supply Chain Risk Management and Hospital Inventory: Effects of System Affilition”, Journal of Operations Management- vol.44, Elsevier Publisher. https://doi.org/10.1016/j.jom.2016.04.002.