AI and emerging technology adoption: a research agenda for operations management

被引:8
|
作者
Venkatesh, Viswanath [1 ,3 ]
Raman, Raji [1 ]
Cruz-Jesus, Frederico [2 ]
机构
[1] Virginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA USA
[2] Univ NOVA Lisboa, NOVA Informat Management Sch NOVA IMS, Lisbon, Portugal
[3] Virginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA 24061 USA
关键词
Adoption; artificial intelligence; emerging technologies; operations management; research agenda; MIXED-METHODS RESEARCH; UNIFIED THEORY; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; DIGITAL DIVIDE; SUPPLY CHAIN; SYSTEMS; GUIDELINES; DIRECTIONS; DECISIONS;
D O I
10.1080/00207543.2023.2192309
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Artificial intelligence (AI) is becoming a critical engine that powers a range of technology solutions. It is rapidly playing a vital role in supply chain and operations management. In this paper, we present a research agenda of how researchers and practitioners alike can study the potential adoption of AI-powered tools for benefits in the supply chain. We draw on the unified theory of acceptance and use of technology and suggest directions for research that leverage a mixed-methods research approach. Because these technologies are in a nascent stage and evolving rapidly, a mixed-methods approach will allow for a careful examination of potential features and how their adoption can be fostered, with specific benefits in mind. We present three-specific research directions rooted in the developmental, completeness, and expansion purposes of mixed-methods research.
引用
收藏
页码:5367 / 5377
页数:11
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