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2024 | 15 | nr 2 | 359--366
Tytuł artykułu

Transitioning from Net-Zero to Climate-Positive Supply Chains

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In our collective quest for sustainability, the notion of achieving net-zero carbon emissions has long been regarded as a crucial milestone.
The literature suffers from a gap regarding usage of emerging/disruptive technologies to transitioning from net-zero to climate-positive supply chains. There is a need for exploratory research that gather experts' insights and provides research directions. The usability of emerging/disruptive technologies and the timeline for their usage should also be cleared. Even the body of knowledge needs theoretical research or grounded theory-based studies, the practical usage of such technologies and solution-based research should not be omitted. (fragment of text)
Rocznik
Tom
15
Numer
Strony
359--366
Opis fizyczny
Twórcy
  • Amrita School of Engineering, India
  • Hungarian University of Agriculture and Life Sciences (MATE), Hungary
  • John von Neumann University, Hungary; Hungarian University of Agriculture and Life Sciences (MATE), Hungary; Eötvös Loránd University, Hungary
Bibliografia
  • Bagh, T., Naseer, M. M., Khan, M. A., Pypłacz, P., & Oláh, J. (2023). Sustainable growth rate, corporate value of US firms within capital and labor market distortions: The moderating effect of institutional quality. Oeconomia Copernicana, 14(4), 1211-1255. https://doi.org/10.24136/oc.2023.036.
  • Bai, T., Xu, D., Yang, Q., Dudás Piroska, V., Dénes Dávid, L., & Zhu, K. (2023). Paths to low-carbon development in China: The role of government environmental target constraints. Oeconomia Copernicana, 14(4), 1139-1173. https://doi.org/10.24136/oc.2023.034.
  • Balcerzak, A. B., & MacGregor Pelikánová, R. (2020). Projection of SDGs in codes of ethics-case study about lost in translation. Administrative Sciences, 10(4), 95. https://doi.org/10.3390/admsci10040095.
  • Balcerzak, A. P., Uddin, G. S., Igliński, B., & Pietrzak, M. B. (2023). Global energy transition: From the main determinants to economic challenges. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(3), 597-608. https://doi.org/10.24136/eq.2023.018.
  • Belas, J., Balcerzak, A. P., Dvorsky, J., & Streimikis, J. (2024). Influencing ESG perception in SMEs through CSR, business ethics, and HRM: An empirical study in V4 countries. Amfiteatru Economic, 26(66), 532-549, https://doi.org/10.24818/EA/2024/66/532.
  • Chavali, B., Khatri, S. K., & Hossain, S. A. (2020). AI and blockchain integration. In 8th international conference on reliability, infocom technologies and optimization (Trends and future directions) (ICRITO) (pp. 548-552). IEEE. https://doi.org/10.1109/ICRITO48877.2020.9197847.
  • Chen, L., Chen, Z., Zhang, Y., Liu, Y., Osman, A. I., Farghali, M., Hua, J., Al-Fatesh, A., Ihara, I., Rooney, D. W., & Yap, P.-S. (2023). Artificial intelligence-based solutions for climate change: A review. Environmental Chemistry Letters, 21(5), 2525-2557. https://doi.org/10.1007/s10311-023-01617-y
  • Chen, Y., & Jin, S. (2023). Artificial intelligence and carbon emissions in manufacturing firms: The moderating role of green innovation. Processes, 11(9), 2705. https://doi.org/10.3390/pr11092705.
  • Christiansen, K. L., & Carton, W. (2021). What 'climate positive future'? Emerging sociotechnical imaginaries of negative emissions in Sweden. Energy Research & Social Science, 76, 102086. https://doi.org/10.1016/j.erss.2021.102086.
  • Dadkhah, M., Nedungadi, P., Raman, R., & Dávid, L. D. (2024). Emerging and disruptive technologies and the sustainable development goals: A state of art and research agenda. Equilibrium. Quarterly Journal of Economics and Economic Policy, 19(1), 13-21. https://doi.org/10.24136/eq.2985.
  • Dávid, L. D., & Dadkhah, M. (2023). Artificial intelligence in the tourism sector: Its sustainability and innovation potential. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(3), 609-613. https://doi.org/10.24136/eq.2023.019.
  • Dhane, A. S., Sarode, S., Sarode, G., & Singh, S. (2024). A reality check on chatbot- generated references in global health research. Oral Oncology Reports, 10, 100246. https://doi.org/10.1016/j.oor.2024.100246.
  • Dvorský, J., Bednarz, J., & Blajer-Gołębiewska, A. (2023a). The impact of corporate reputation and social media engagement on the sustainability of SMEs: Perceptions of top managers and the owners. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(3), 779-811. https://doi.org/10.24136/eq.2023.025.
  • Dvorský, J., Švihlíková, I., Kozubíková, Ľudmila, Frajtova Michalíková, K., & Balcerzak, A. P. (2023b). Effect of CSR implementation and crisis events in business on the financial management of SMEs. Technological and Economic Development of Economy, 29(5), 1496-1519. https://doi.org/10.3846/tede.2023.19821.
  • Fankhauser, S., Smith, S. M., Allen, M., Axelsson, K., Hale, T., Hepburn, C., Kendall, J. M., Khosla, R., Lezaun, J., Mitchell-Larson, E., Obersteiner, M., Rajamani, L., Rickaby, R., Seddon, N., & Wetzer, T. (2022). The meaning of net zero and how to get it right. Nature Climate Change, 12(1), 15-21. https://doi.org/ 10.1038/s41558-021-01245-w
  • Fu, Q., Zhao, X., & Chang, C.-P. (2023). Does ESG performance bring to enterprises' green innovation? Yes, evidence from 118 countries. Oeconomia Copernicana, 14(3), 795-832. https://doi.org/10.24136/oc.2023.024.
  • Kaur, K., Kaur, G., Singh, B., Sehgal, S., & Trehan, S. (2024). Artificial intelligence (AI) as a transitional tool for sustainable food systems. In M. Thakur (Ed.). Sustainable food systems (Vol. II) (pp. 305-328). Springer Science and Business Media. https://doi.org/10.1007/978-3-031-46046-3_15.
  • Lazaroiu, G., Androniceanu, A., Grecu, I., Grecu, G., & Neguriță, O. (2022). Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing. Oeconomia Copernicana, 13(4), 1047-1080. https://doi.org/10.24136/oc.2022.030.
  • Lăzăroiu, G., Bogdan, M., Geamănu, M., Hurloiu, L., Luminița, L., & Ștefănescu, R. (2023). Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management. Oeconomia Copernicana, 14(3), 707-730. https://doi.org/10.24136/oc.2023.021.
  • MacGregor Pelikánová, R., & Sani, M. (2023). Luxury, slow and fast fashion: A case study on the (un)sustainable creating of shared values. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(3), 813-851. https://doi.org/10.24136/eq.2023.026.
  • Madancian, M., Taherdoost, H., Javadi, M., Khan, I. U., Kalantari, A., & Kumar, D. (2024). The impact of artificial intelligence on supply chain management in modern business. In Y. Farhaoui, A. Hussain, T. Saba, H. Taherdoost & A. Verma (Eds.). Lectere notes networks systems: Vol. 838 LNNS (pp. 566-573). Springer Science and Business Media. https://doi.org/10.1007/ 978-3-031-48573-2_82
  • Małys, Ł. (2023). The approach to supply chain cooperation in the implementation of sustainable development initiatives and company's economic performance. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(1), 255-286. https://doi.org/10.24136/eq.2023.008.
  • Niranjan, K., Narayana, K. S., & Rao, M. V. A. L. N. (2021). Role of artifical intelligence in logistics and supply chain. In 2021 International conference on com- puter communication and informatics (ICCCI). IEEE. https://doi.org/10.1109/ICCCI50826.2021.9402625.
  • Peña, I., Andrade, S. M., Muñoz, R. M., & Martínez, I. (2023). A grouping of the Sustainable Development Goals (SDGs) and their influence on business results: An analysis for Spanish companies. Oeconomia Copernicana, 14(2), 551-583. https://doi.org/10.24136/oc.2023.015.
  • Saad, S. M., & Khamkham, M. (2022). The applications of AI in GSCM-A systematic literature review. In M. Shafik & K. Case (Eds.). Advances in transdisciplinary engineering. Vol. 25 (pp. 348-353). IOS Press BV. https://doi.org/10.3233/ATDE220615.
  • Suslina, A., Savin, K., & Suslina, I. (2024). Greening telecom: Harnessing the power of artificial intelligence for sustainable communications. In A. V. Samsonovich & T. Liu (Eds.). Biologically inspired cognitive architectures 2023. Proceedings of the 14th annual meeting of the BICA Society (pp. 867-874). Springer Science and Business Media. https://doi.org/ 10.1007/978-3-031-50381-8_94.
  • Taddeo, M., Tsamados, A., Cowls, J., & Floridi, L. (2021). Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations. One Earth, 4(6), 776-779. https://doi.org/ 10.1016/j.oneear.2021.05.018.
  • Tingting, B., Dong, X., Qianyi, Y., Vargáné, D. P., Dávid, L. D., & Zhu, K. (2023). Paths to low-carbon development in China: The role of government environmental target constraints. Oeconomia Copernicana, 14(4), 1139-1173. https://doi.org/10.24136/oc.2023.034.
  • Turek, J., Ocicka, B., Rogowski, W., & Jefmański, B. (2023). The role of Industry 4.0 technologies in driving the financial importance of sustainability risk management. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 1009-1044. https://doi.org/10.24136/eq.2023.032.
  • Yin, H.-T., Wen, J., & Chang, C.-P. (2023). Going green with artificial intelligence: The path of technological change towards the renewable energy transition. Oeconomia Copernicana, 14(4), 1059-1095. https://doi.org/10.24136/oc.2023.032.
  • Zheng, M., Feng, G.-F., & Chang, C.-P. (2023). Is green finance capable of promoting renewable energy technology? Empirical investigation for 64 economies worldwide. Oeconomia Copernicana, 14(2), 483-510. https://doi.org/10.24136/oc.2023.013.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171692820

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