Adoção da inteligência artificial na cadeia de suprimentos sob a ótica da inovação aberta

Abstract

The adoption of artificial intelligence (AI) in the supply chain has become a critical factor in transforming logistics operations, posing significant challenges for companies. These include the integration of advanced technologies and the management of partnerships to balance open innovation with the protection of strategic assets. Although recent literature provides insights into how individual firms are adopting AI, there remains limited guidance on how AI is appropriated across the supply chain. In this context, the main objective of this thesis is to investigate the adoption of artificial intelligence in the supply chain from the perspective of open innovation. To achieve this, four interdependent studies were conducted. The first study comprises a systematic literature review, aiming to consolidate the knowledge base on AI and supply chains under the lens of open innovation. The second study involves patent-based research to examine the determinants of innovation effort among organizations engaged in R&D projects related to AI adoption in the supply chain. Drawing on the findings of the first two studies, the third is an empirical investigation conducted in Southern Brazil, analyzing international supply chains and the AI solutions they have adopted within an open innovation framework. Finally, the theoretical foundations supported the development of an artifact, an open management platform for international supply chains, using the Design Science Research (DSR) method.