Research and development projects related to the adoption of artificial intelligence in the supply chain

Authors

DOI:

https://doi.org/10.5585/gep.v15i2.26210

Keywords:

R&D projects, Adoption of artificial intelligence, Supply chain, Technological cooperation, Knowledge flows

Abstract

This article aims to investigate the determinants of the innovation effort of organizations responsible for Research and Development (R&D) projects related to the adoption of Artificial Intelligence (AI) in the supply chain (SC) (R&D-AI-SC). To this end, 4,698 we analyzed patents and patent families as proxies for successful R&D-AI-SC projects. The main organizations responsible for R&D-IA-SC projects were multinationals, especially North American and European, with strong technological dominance and cooperation. The results indicate that the organizations responsible for the most relevant R&D-AI-SC projects are of technological nature, with strong ties to universities and research institutes. Furthermore, in this study we found that the innovation effort of such organizations is positively driven by technological cooperation, the impact of technology on the technical domain, and the strategic importance of technology to the entity. On the other hand, patent and scientific knowledge flows lead to a negative influence on the innovation effort, indicating that organizations responsible for R&D-IA-SC projects tend to develop technologies less based on prior knowledge, prioritizing the creation of new knowledge to obtain competitive advantage and technological distinction.

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Author Biographies

Priscila Rezende da Costa, University Nove de Julho - Uninove / São Paulo (SP)

PhD in Administration from the University of São Paulo, FEA USP, 2012. Master in Administration from the University of São Paulo, FEA RP USP, 2007. Graduated in Administration from the Federal University of Lavras, UFLA, 2005. Bachelor's degree in Business Administration from Universidade Nove de Julho, PPGA UNINOVE (rank 6 in the last four-year evaluation by CAPES), and professor of the Master's and Doctorate courses in Business Administration, Line of Innovation, Entrepreneurship and Sustainable Business (IEN). Also at UNINOVE, she is a professor of the Graduate Administration course, chairs the Local Monitoring and Evaluation Committee (CLAA) of the Tutorial Education Program (PET) and is a member of the Research Ethics Committee. She was Coordinator of the Graduate Course in Administration at UNINOVE, 2010-2014. She is a member of the Organizing Committee of SINGEP CIK, an international event promoted by UNINOVE in partnership with Bentley University (USA). She is editor in chief of the International Journal of Innovation (IJI), associate editor of the Innovation Management Review (IMR), and associate editor of the IEEE Engineering Management Review. She is leader of the Theme of Innovation and Digital Transformation in Emerging Market Organizations of the Innovation, Technology and Entrepreneurship Academic Division (ITE) of ANPAD. She leads the Socio-Environmental Management and Innovation Theme at EMPRAD (USP). She is part of the scientific committee of the International Forum on Management-IFM (Polytechnic Institute of Setúbal, Portugal). He is the leader of the CNPq Research Group, entitled Innovation Strategy, and within the scope of the group he coordinated research projects funded by CNPq (1-Project CNPq Bolsa PQ2 n 309294/2019-3, 2-Project CNPq Universal n 422922/2018- 8 and 3-Project CNPq Social Sciences n 471875/2014-7) and by FAPESP (1-Process n 2019/20222-4 and 2-Process n 2006/54755-9). She has experience in the area of Administration and her main research topics are: dynamic capabilities, relational capacity, absorptive capacity, company-university-government cooperation, internationalization of innovation, entrepreneurial ecosystems, networks and technological routes. She is a CNPq Research Productivity Scholar. Gael's mother, she was on maternity leave from 08/2021 to 01/2022.

Adriana de Castro Pires, Universidade Nove de Julho – Uninove

Doutoranda PPGA UNINOVE

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Published

2024-07-11

How to Cite

Rezende da Costa, P., & Pires, A. de C. (2024). Research and development projects related to the adoption of artificial intelligence in the supply chain. Revista De Gestão E Projetos, 15(2), 354–379. https://doi.org/10.5585/gep.v15i2.26210

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Vol. 15 No. 2 (2024): (maio/ago.)

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