1 Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, 2006 South Africa.
2 Department of Research, Education and Communication, UiT the Arctic University of Norway, Tromsø, 6050 Norway.
Email: 20117941@student.uj.ac.za or nch015@uit.no.
Manuscript submitted April 6, 2023; accepted May 9, 2023; published March 23, 2023.
Abstract: IKEA is a massive international conglomerate company, and the purpose of this exploratory qualitative research is to investigate how the burgeoning academic field known as “artificial intelligence” (AI) could assist IKEA in resolving some of the challenges that it is currently dealing with in relation to its efforts to source sustainable materials. According to the conclusions of this study, artificial intelligence has the potential to aid in the resolution of at least some of the issues associated with sustainable sourcing, at least to some degree. This was developed by mapping the issues, analyzing the potential for adopting artificial intelligence as a solution, and defining the components that are required for the efficient adoption of the technology. Several prerequisites need to be satisfied by businesses before artificial intelligence can be used around sustainable sourcing. In addition, several artificial intelligence constraints need to be addressed before the technology can be put into practice by the same businesses. In conclusion, the findings of this study offer some management implications and ideas for businesses that have the goal of sourcing in a way that is less harmful to the environment by making use of technological breakthroughs such as artificial intelligence. This can be accomplished through the utilization of innovative technologies.
Key words: Artificial intelligence, machine learning, project management.
Cite: Nwosu Obinnaya Chikezie Victor, "Exploring the Use of AI in Sustainable Sourcing: Insights into the Impact and Potential of Artificial Intelligence," Journal of Advances in Artificial Intelligence, Vol. 1, No. 1, pp. 20-44, 2023. doi: 10.18178/JAAI.2023.1.1.20-44
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
