TY - JOUR
T1 - Acceptance of automation manufacturing technology in China
T2 - an examination of perceived norm and organizational efficacy
AU - Cao, D.
AU - Tao, H.
AU - Wang, Y.
AU - Tarhini, A.
AU - Xia, S.
N1 - Funding Information:
The work was partly supported by National Natural Science Foundation of China under Grant NSFC [71834006]. We acknowledge Professor Albert Jolink and Dr Devon Barrow for their constructive comments on an early draft of this paper.
Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/6/10
Y1 - 2020/6/10
N2 - With a shift to more automation technology, social acceptance of technology plays an important role in the manufacturing sector. To what extent this occurs, and affects the adoption of technology, has been less researched, but is important in deciding how such technology is introduced, and the nature of the shift from labour-intensive manufacturing to automation. This research applies the revised technology acceptance model (TAM) to examine the impact of social and individual antecedents on the acceptance of automation manufacturing technology. Survey data are collected from 258 Chinese manufacturers. Results suggest that perceived norms significantly affect organizational intention to use automation manufacturing technology both directly and via perceived usefulness; organizational efficacy explains the intention to use via mediating effect of perceived usefulness and perceived ease of use. This research is one of the first extending and applying TAM from individuals to organizations.
AB - With a shift to more automation technology, social acceptance of technology plays an important role in the manufacturing sector. To what extent this occurs, and affects the adoption of technology, has been less researched, but is important in deciding how such technology is introduced, and the nature of the shift from labour-intensive manufacturing to automation. This research applies the revised technology acceptance model (TAM) to examine the impact of social and individual antecedents on the acceptance of automation manufacturing technology. Survey data are collected from 258 Chinese manufacturers. Results suggest that perceived norms significantly affect organizational intention to use automation manufacturing technology both directly and via perceived usefulness; organizational efficacy explains the intention to use via mediating effect of perceived usefulness and perceived ease of use. This research is one of the first extending and applying TAM from individuals to organizations.
KW - China
KW - Perceived norm
KW - automation manufacturing
KW - organizational efficacy
KW - technology acceptance
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U2 - 10.1080/09537287.2019.1669091
DO - 10.1080/09537287.2019.1669091
M3 - Article
AN - SCOPUS:85074050129
SN - 0953-7287
VL - 31
SP - 660
EP - 672
JO - Production Planning and Control
JF - Production Planning and Control
IS - 8
ER -