TY - GEN
T1 - Examining the Use of the Technology Acceptance Model for Adoption of Advanced Digital Technologies in Nuclear Power Plants
AU - Kovesdi, Casey
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The United States nuclear industry is being economically challenged and needs wide-scale adoption of enabling technology like advanced automation to remain viable. To enable wide-scale adoption of advanced technology, addressing the human-technology integration challenges and factors that influence technology acceptance (i.e., ‘buy in’) is pertinent. This work examines the Technology Acceptance Model as a framework for characterizing the factors influencing technology adoption in the nuclear industry. An outcome of this work is to support the development of future tools such as a technology acceptance survey that can be used to assess technology acceptance throughout the lifespan of a modernization program to provide a systematic way of ensuring stakeholder and operations ‘buy in’.
AB - The United States nuclear industry is being economically challenged and needs wide-scale adoption of enabling technology like advanced automation to remain viable. To enable wide-scale adoption of advanced technology, addressing the human-technology integration challenges and factors that influence technology acceptance (i.e., ‘buy in’) is pertinent. This work examines the Technology Acceptance Model as a framework for characterizing the factors influencing technology adoption in the nuclear industry. An outcome of this work is to support the development of future tools such as a technology acceptance survey that can be used to assess technology acceptance throughout the lifespan of a modernization program to provide a systematic way of ensuring stakeholder and operations ‘buy in’.
KW - Human factors engineering
KW - Nuclear power plant modernization
KW - Technology acceptance model
UR - https://www.scopus.com/pages/publications/85112344602
UR - https://www.mendeley.com/catalogue/3a05403d-5254-32c3-8954-ce1629d70251/
U2 - 10.1007/978-3-030-80624-8_63
DO - 10.1007/978-3-030-80624-8_63
M3 - Conference contribution
AN - SCOPUS:85112344602
SN - 9783030806231
T3 - Lecture Notes in Networks and Systems
SP - 502
EP - 509
BT - Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
A2 - Ahram, Tareq Z.
A2 - Karwowski, Waldemar
A2 - Kalra, Jay
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -