{"title":"Developing design principles for the implementation of AI in PSM: An investigation with expert interviews","authors":"Dennis Meyer, Michael Henke","doi":"10.1016/j.pursup.2023.100846","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":47950,"journal":{"name":"Journal of Purchasing and Supply Management","volume":null,"pages":null},"PeriodicalIF":6.8000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Purchasing and Supply Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1478409223000341","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 2
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.
期刊介绍:
The mission of the Journal of Purchasing & Supply Management is to publish original, high-quality research within the field of purchasing and supply management (PSM). Articles should have a significant impact on PSM theory and practice. The Journal ensures that high quality research is collected and disseminated widely to both academics and practitioners, and provides a forum for debate. It covers all subjects relating to the purchase and supply of goods and services in industry, commerce, local, national, and regional government, health and transportation.