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The influence of artificial intelligence adoption on circular economy practices in manufacturing industries

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  • Mohammad Hossein Ronaghi

    (Shiraz University)

Abstract

Considering the increase in the stakeholders’ supervision and the change of production processes, sustainable development plays a crucial role in the survival of businesses. In order to achieve sustainable development, the circular economy (CE) seeks to manage the flow of materials and energy to closed-loop systems. Circular economy has led to the formation of sustainable business models. Artificial intelligence (AI) capabilities change work activities, data flows, and organizational processes. The purpose of this study is to identify the impact of adoption of AI on circular economy practices in the organization. The research questions include: What are the factors affecting the adoption of AI in manufacturing companies? What effect does the adoption of AI have on the CE practices in the organization? In the first phase, research constructs are identified and a conceptual model is developed based on previous studies. In the second phase, the research model is evaluated among 97 manufacturing companies in the Middle East. Structural equation model and Smart PLS software have been used for data analysis. The findings show that the technology characteristics, organizational capabilities and external task environment have an effect on adoption of AI, and adoption of AI has a positive effect on circular economy practices. Based on the results, AI technology can be a solution to change the production process and reduce the destructive effects of industry on the environment. Managers of manufacturing companies can use the capabilities of machine learning, intelligence and neural networks to manage resources and optimize product production.

Suggested Citation

  • Mohammad Hossein Ronaghi, 2023. "The influence of artificial intelligence adoption on circular economy practices in manufacturing industries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 14355-14380, December.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:12:d:10.1007_s10668-022-02670-3
    DOI: 10.1007/s10668-022-02670-3
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    1. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    2. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    3. Elena Aurelia Botezat & Anca Otilia Dodescu & Sebastian Văduva & Silvia Liana Fotea, 2018. "An Exploration of Circular Economy Practices and Performance Among Romanian Producers," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    4. Hakan Sevik & Mehmet Cetin & Halil Baris Ozel & Abdullah Erbek & Ilknur Zeren Cetin, 2021. "The effect of climate on leaf micromorphological characteristics in some broad-leaved species," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6395-6407, April.
    5. Zhu, Qinghua & Sarkis, Joseph & Cordeiro, James J. & Lai, Kee-Hung, 2008. "Firm-level correlates of emergent green supply chain management practices in the Chinese context," Omega, Elsevier, vol. 36(4), pages 577-591, August.
    6. Gustavo Cattelan Nobre & Elaine Tavares, 2017. "Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 463-492, April.
    7. V.V. Gedam & R.D. Raut & Ana Beatriz Lopes de Sousa Jabbour & A.N. Tanksale & B.E. Narkhede, 2021. "Circular Economy Practices in a Developing Economy: Barriers to Be Defeated," Post-Print hal-04275963, HAL.
    8. Kirchherr, Julian & Reike, Denise & Hekkert, Marko, 2017. "Conceptualizing the circular economy: An analysis of 114 definitions," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 221-232.
    9. Princely Ifinedo, 2011. "An Empirical Analysis Of Factors Influencing Internet/E-Business Technologies Adoption By Smes In Canada," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 731-766.
    10. Jae-Nam Lee & Shaila M. Miranda & Yong-Mi Kim, 2004. "IT Outsourcing Strategies: Universalistic, Contingency, and Configurational Explanations of Success," Information Systems Research, INFORMS, vol. 15(2), pages 110-131, June.
    11. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    12. Dash, Ganesh & Paul, Justin, 2021. "CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. Kevin Zhu & Shutao Dong & Sean Xin Xu & Kenneth L Kraemer, 2006. "Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies," European Journal of Information Systems, Taylor & Francis Journals, vol. 15(6), pages 601-616, December.
    14. Garrison, Gary & Wakefield, Robin L. & Kim, Sanghyun, 2015. "The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations," International Journal of Information Management, Elsevier, vol. 35(4), pages 377-393.
    15. Hong Chen & Ling Li & Yong Chen, 2021. "Explore success factors that impact artificial intelligence adoption on telecom industry in China," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 36-68, January.
    16. Flah Aymen & Chokri Mahmoudi, 2019. "A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City," Energies, MDPI, vol. 12(5), pages 1-22, March.
    17. Wan-Chu Yen & Hsin-Hui Lin & Yi-Shun Wang & Ying-Wei Shih & Kai-Hong Cheng, 2019. "Factors affecting users’ continuance intention of mobile social network service," The Service Industries Journal, Taylor & Francis Journals, vol. 39(13-14), pages 983-1003, October.
    18. Fahad Alrukaibi & Rushdi Alsaleh & Tarek Sayed, 2019. "Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    19. Yuri Merizalde & Luis Hernández-Callejo & Oscar Duque-Perez & Víctor Alonso-Gómez, 2019. "Maintenance Models Applied to Wind Turbines. A Comprehensive Overview," Energies, MDPI, vol. 12(2), pages 1-41, January.
    20. Gupta, Shivam & Chen, Haozhe & Hazen, Benjamin T. & Kaur, Sarabjot & Santibañez Gonzalez, Ernesto D.R., 2019. "Circular economy and big data analytics: A stakeholder perspective," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 466-474.
    21. Qinghua Zhu & Yong Geng & Kee‐hung Lai, 2011. "Environmental Supply Chain Cooperation and Its Effect on the Circular Economy Practice‐Performance Relationship Among Chinese Manufacturers," Journal of Industrial Ecology, Yale University, vol. 15(3), pages 405-419, June.
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