Innovation adoption in inter-organizational healthcare networks – the role of artificial intelligence

Chiara Cannavale, Anna Esempio Tammaro, Daniele Leone and Francesco Schiavone

European Journal of Innovation Management, 2022, vol. 25, issue 6, 758-774

Abstract: Purpose - This paper explores innovation adoption in inter-organizational healthcare networks. The authors develop theoretical speculations to investigate better the role of artificial intelligence (AI) as an innovative tool to improve buyer-supplier relationships, creating better performance outcomes. Design/methodology/approach - The research is based on a theoretical investigation aiming at exploring the role of AI-based solutions for managing buyer-supplier relationships. The conceptual approach allows us to identify some research streams (e.g. co-working collaborations in supply chain management) by proposing a matrix that helps clarify the analysis's directions. Findings - The results show the importance of AI that can help the operator in accessing supplier information, including current prices, available stocks, and delivery status, thereby reducing the risk of information asymmetry. AI is intended not only as a technology tool but also as an innovative solution to promote business relationships and support vertical alliances through the value chain between buyer and supplier. Originality/value - This paper can help healthcare actors examine the choices behind their operational strategies by providing transparency of the activities and availability of information in real-time. Finally, our study reflects the future directions to enhance the cooperation and innovation adoption among healthcare operators.

Keywords: Innovation adoption; Buyer-supplier relationships; Inter-organizational healthcare networks; Artificial intelligence (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejimpp:ejim-08-2021-0378

DOI: 10.1108/EJIM-08-2021-0378

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