AI and emerging technology adoption: a research agenda for operations management
被引:9
|
作者:
Venkatesh, Viswanath
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机构:
Virginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA USA
Virginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA 24061 USAVirginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA USA
Venkatesh, Viswanath
[1
,3
]
Raman, Raji
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机构:
Virginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA USAVirginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA USA
Raman, Raji
[1
]
Cruz-Jesus, Frederico
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h-index: 0
机构:
Univ NOVA Lisboa, NOVA Informat Management Sch NOVA IMS, Lisbon, PortugalVirginia Tech, Pamplin Coll Business, Business Informat Technol Dept, Blacksburg, VA USA
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
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.
机构:
Paulista Univ UNIP, Postgrad Program Business Adm, BR-04026002 Sao Paulo, BrazilPaulista Univ UNIP, Postgrad Program Business Adm, BR-04026002 Sao Paulo, Brazil
Queiroz, Maciel M.
Wamba, Samuel Fosso
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机构:
TBS Business Sch, Informat Operat & Management Sci, Toulouse, FrancePaulista Univ UNIP, Postgrad Program Business Adm, BR-04026002 Sao Paulo, Brazil
Wamba, Samuel Fosso
De Bourmont, Marc
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机构:
NEOMA Business Sch, Informat Syst Supply Chain & Decis Making, Rouen, FrancePaulista Univ UNIP, Postgrad Program Business Adm, BR-04026002 Sao Paulo, Brazil
De Bourmont, Marc
Telles, Renato
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机构:
Paulista Univ UNIP, Postgrad Program Business Adm, BR-04026002 Sao Paulo, BrazilPaulista Univ UNIP, Postgrad Program Business Adm, BR-04026002 Sao Paulo, Brazil
机构:
Iowa State Univ, Ivy Sales Forum Ivy Coll Business, 2167 Union Dr, Ames, IA 50011 USAIowa State Univ, Ivy Sales Forum Ivy Coll Business, 2167 Union Dr, Ames, IA 50011 USA
Agnihotri, Raj
Chaker, Nawar N.
论文数: 0引用数: 0
h-index: 0
机构:
Louisiana State Univ, EJ Ourso Coll Business, 501 South Quad Dr, Baton Rouge, LA 70803 USAIowa State Univ, Ivy Sales Forum Ivy Coll Business, 2167 Union Dr, Ames, IA 50011 USA
Chaker, Nawar N.
Dugan, Riley
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h-index: 0
机构:
Univ Dayton, Sch Business Adm, Miriam Hall 714,300 Coll Pk, Dayton, OH 45469 USAIowa State Univ, Ivy Sales Forum Ivy Coll Business, 2167 Union Dr, Ames, IA 50011 USA
Dugan, Riley
Galvan, John M.
论文数: 0引用数: 0
h-index: 0
机构:
Missouri State Univ, Coll Business, 252 Glass Hall, Springfield, MO 65897 USAIowa State Univ, Ivy Sales Forum Ivy Coll Business, 2167 Union Dr, Ames, IA 50011 USA