Abstract
The use of artificial intelligence (AI) in purchasing and supply management (PSM) has great potential, e.g. for automating processes and supporting PSM employees. Nevertheless, the number of realized AI use cases in PSM is still limited, and mostly in large companies. This paper examines first requirements for the implementation of AI in PSM. Second, design principles are developed on the basis of the identified requirements. Third, exemplary AI use cases in PSM are presented. For this purpose, a literature analysis is first conducted and followed by interviews with 17 PSM and technology experts. Finally, 40 requirements for the implementation of AI in PSM are developed from the conducted expert interviews. Based on these 40 requirements, ten design principles are developed in the sense of the design science research (DSR) approach to describe the relevant activities for the implementation of AI in PSM. The artifacts developed in this paper will contribute to the implementation of AI in PSM. The applicable research results should facilitate the transfer of knowledge into practice and contribute to the establishment of the DSR method in PSM research.
Published Version
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