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Online service quality and perceived value in mobile government success: An empirical study of mobile police in China

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  • Wang, Changlin
  • Teo, Thompson S.H.

Abstract

Measuring the success of mobile government (m-government) is a significant challenge faced by the public sector today, as governments are increasingly using mobile technology to provide public services to citizens and m-government endeavors have often fallen short of their potential. To address this gap, we draw on DeLone and McLean’s (2003) updated information systems (IS) success model in order to develop an m-government success model that theorizes service quality as comprising online and offline service quality and further uses perceived value to measure net benefits. The results of a survey of 286 m-government users in China indicate that information quality and online service quality, but not system quality, are positively associated with citizen satisfaction, which in turn is positively associated with perceived value. The results also show that the relationship between online service quality and citizen satisfaction is positively moderated by offline service quality, while citizen satisfaction partially mediates the relationships between information quality/online service quality (but not system quality) and perceived value. This study extends the updated IS success model by differentiating between online and offline service quality, as well as by introducing the notion of perceived value. Our results provide guidance to researchers and practitioners regarding the role of service quality and perceived value in measuring m-government system success.

Suggested Citation

  • Wang, Changlin & Teo, Thompson S.H., 2020. "Online service quality and perceived value in mobile government success: An empirical study of mobile police in China," International Journal of Information Management, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:ininma:v:52:y:2020:i:c:s0268401219309909
    DOI: 10.1016/j.ijinfomgt.2020.102076
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    Cited by:

    1. Shilpa Agarwal & Priyanka Malik & Shalini Gautam, 2024. "Customer experience and loyalty analysis with PLS-SEM digital payment loyalty model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(12), pages 5469-5483, December.
    2. Banafo Akrong, Godwin & Yunfei, Shao & Owusu, Ebenezer, 2022. "Development and validation of an improved DeLone-McLean IS success model - application to the evaluation of a tax administration ERP," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    3. Pang, Hua & Zhang, Kaige, 2024. "Determining influence of service quality on user identification, belongingness, and satisfaction on mobile social media: Insight from emotional attachment perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Md. Al Amin & Abureza M. Muzareba & Imtiaz Uddin Chowdhury & Mubina Khondkar, 2024. "Understanding e-satisfaction, continuance intention, and e-loyalty toward mobile payment application during COVID-19: an investigation using the electronic technology continuance model," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 318-340, June.
    5. Kim, Yaeri & Seok, Junhee & Roh, Taewoo, 2023. "The linkage between quality of information systems and the impact of trust-based privacy on behavioral outcomes in unmanned convenience store: Moderating effect of gender and experience," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. Adriana Grigorescu & Oana Oprisan & Cristina Lincaru & Camelia Speranta Pirciog, 2023. "E-Banking Convergence and the Adopter’s Behavior Changing Across EU Countries," SAGE Open, , vol. 13(4), pages 21582440231, December.

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