{"title":"多阶段采用人工智能的关键成功因素:必要条件分析","authors":"Sam Solaimani, Lucas Swaak","doi":"10.1016/j.jengtecman.2023.101760","DOIUrl":null,"url":null,"abstract":"<div><p>Notwithstanding the widespread publicity, Artificial Intelligence (AI) adoption has remained relatively limited. One important reason is a lack of insight into critical factors in the adoption process. This study reviews the literature on AI and several similar technologies to identify success factors and employs Necessary Condition Analysis (NCA) to empirically assess the criticality of the identified factors across various stages of adoption. The findings evidence the necessity of performance expectancy, top management support, technical competencies and resources, perceived ease of use, organizational compatibility, and trading partner leverage with varying levels of criticality across various stages of AI adoption.</p></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"69 ","pages":"Article 101760"},"PeriodicalIF":3.7000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Critical Success Factors in a multi-stage adoption of Artificial Intelligence: A Necessary Condition Analysis\",\"authors\":\"Sam Solaimani, Lucas Swaak\",\"doi\":\"10.1016/j.jengtecman.2023.101760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Notwithstanding the widespread publicity, Artificial Intelligence (AI) adoption has remained relatively limited. One important reason is a lack of insight into critical factors in the adoption process. This study reviews the literature on AI and several similar technologies to identify success factors and employs Necessary Condition Analysis (NCA) to empirically assess the criticality of the identified factors across various stages of adoption. The findings evidence the necessity of performance expectancy, top management support, technical competencies and resources, perceived ease of use, organizational compatibility, and trading partner leverage with varying levels of criticality across various stages of AI adoption.</p></div>\",\"PeriodicalId\":50209,\"journal\":{\"name\":\"Journal of Engineering and Technology Management\",\"volume\":\"69 \",\"pages\":\"Article 101760\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering and Technology Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0923474823000309\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Technology Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0923474823000309","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Critical Success Factors in a multi-stage adoption of Artificial Intelligence: A Necessary Condition Analysis
Notwithstanding the widespread publicity, Artificial Intelligence (AI) adoption has remained relatively limited. One important reason is a lack of insight into critical factors in the adoption process. This study reviews the literature on AI and several similar technologies to identify success factors and employs Necessary Condition Analysis (NCA) to empirically assess the criticality of the identified factors across various stages of adoption. The findings evidence the necessity of performance expectancy, top management support, technical competencies and resources, perceived ease of use, organizational compatibility, and trading partner leverage with varying levels of criticality across various stages of AI adoption.
期刊介绍：
The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.
The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.
The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.
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