TY - JOUR
T1 - AI and emerging technology adoption
T2 - a research agenda for operations management
AU - Venkatesh, Viswanath
AU - Raman, Raji
AU - Cruz-Jesus, Frederico
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
Venkatesh, V., Raman, R., & Cruz-Jesus, F. (2024). AI and emerging technology adoption: a research agenda for operations management. International Journal Of Production Research, 62(15), 5367-5377. https://doi.org/10.1080/00207543.2023.2192309
PY - 2024/8/2
Y1 - 2024/8/2
N2 - 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.
AB - 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.
KW - Adoption
KW - artificial intelligence
KW - emerging technologies
KW - operations management
KW - research agenda
UR - http://www.scopus.com/inward/record.url?scp=85152430959&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000963935800001
U2 - 10.1080/00207543.2023.2192309
DO - 10.1080/00207543.2023.2192309
M3 - Article
SN - 0020-7543
VL - 62
SP - 5367
EP - 5377
JO - International Journal Of Production Research
JF - International Journal Of Production Research
IS - 15
ER -
