Predicting the acceptance of e-government: a systematic review

Xiaohe Wu, Alain Yee Loong Chong, Yi Peng, Haijun Bao

    Research output: Journal PublicationReview articlepeer-review

    Abstract

    Purpose: This study uses a systematic review to explore the potential causes of previous findings related to e-government acceptance research. By identifying the most frequently used, best, promising or worst factors that affect the acceptance of e-government, this research presents a research agenda for e-government researchers. Design/methodology/approach: Through conducting a systematic review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) procedure, this research first selected 109 papers. Subsequently, this research analyzed the predictors and linkages of e-government acceptance by adopting a weight-analysis method proposed by Jeyaraj et al. (2006). Findings: The results first revealed the five most frequently used predictors and five best predictors of e-government acceptance at a comprehensive level. Furthermore, this study summarized the best predictors affecting the acceptance of e-government from the perspectives of adopter types and e-government stages. The results also illustrated the promising and the worst predictors influencing e-government acceptance. Originality/value: The contribution of this research is twofold. First, this study identified the linkages between e-government acceptance at the individual and organizational levels and between different e-government development stages. Second, this research provided a research direction that could offer useful insights for future e-government studies.

    Original languageEnglish
    JournalInternet Research
    DOIs
    Publication statusAccepted/In press - 2024

    Keywords

    • E-government
    • Electronic government
    • Systematic review
    • Technology acceptance
    • Technology adoption

    ASJC Scopus subject areas

    • Communication
    • Sociology and Political Science
    • Economics and Econometrics

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