Abstract
The rapid development of artificial intelligence (AI) has augmented the functionalities of information systems for purchasing. Many researchers have applied technology acceptance theories to study the adoption of these new tools but have not focused on individual or organizational level. This study aims to determine what drives the adoption of such systems, by gathering the views of the three main stakeholders involved in successful IS adoption: users (buyers), IS consultants, and IS vendors. We report on a series of factors, categorized as ease of usage, functional coverage, and technology strategy. This study provides valuable extensions to technology acceptance models in the context of the purchasing function, and a clear set of criteria for practitioners to consider before investing in an AI-based information system for purchasing.
Recommended Citation
Constant, François, "Purchasing Information Systems based on Artificial Intelligence: Exploring the Drivers for their Adoption" (2024). CACAIS 2024 Proceedings. 9.
https://aisel.aisnet.org/cacais2024/9