TY - GEN
T1 - A review of predictors in e-government adoption research
AU - Wu, Xiaohe
AU - Chong, Alain Yee Loong
N1 - Publisher Copyright:
© 2021 42nd International Conference on Information Systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action". All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - The applications of e-government systems continue to attract the interests of both practitioners and researchers. Despite the extant literature on e-government adoption research, most of these studies have similar theories and predictors. Furthermore, many of these studies have presented e-government adoption predictors that are contradictory with each other or have inconsistent findings. The purpose of this study is to conduct a comprehensive review of existing e-government adoption research and find out the most frequently examined and best predictors of e-government adoption by users. Through the use of 75 relevant studies, we found that that service preference, perceived behavioral control, attitude, satisfaction and perceived usefulness are the best predictors of e-government adoption. Based on these results, we suggest that future researchers should consider these predictors in e-government adoption. We also provided a comprehensive e-government adoption model as well as recommended research directions for future e-government research.
AB - The applications of e-government systems continue to attract the interests of both practitioners and researchers. Despite the extant literature on e-government adoption research, most of these studies have similar theories and predictors. Furthermore, many of these studies have presented e-government adoption predictors that are contradictory with each other or have inconsistent findings. The purpose of this study is to conduct a comprehensive review of existing e-government adoption research and find out the most frequently examined and best predictors of e-government adoption by users. Through the use of 75 relevant studies, we found that that service preference, perceived behavioral control, attitude, satisfaction and perceived usefulness are the best predictors of e-government adoption. Based on these results, we suggest that future researchers should consider these predictors in e-government adoption. We also provided a comprehensive e-government adoption model as well as recommended research directions for future e-government research.
KW - adoption
KW - e-gov
KW - e-government
KW - eGovernment
KW - electronic government
UR - http://www.scopus.com/inward/record.url?scp=85192369791&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85192369791
T3 - 42nd International Conference on Information Systems, ICIS 2021 TREOs: "Building Sustainability and Resilience with IS: A Call for Action"
BT - 42nd International Conference on Information Systems, ICIS 2021 TREOs
PB - Association for Information Systems
T2 - 42nd International Conference on Information Systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs
Y2 - 12 December 2021 through 15 December 2021
ER -