To read this content please select one of the options below:

Satisfaction with information services among individuals in China’s urban communities during the COVID-19 pandemic

Wang Shen (Department of Information Management, Jilin University, Changchun, China)
Junyao Wang (Department of Information Management, Jilin University, Changchun, China)
Xin Feng (Department of Information Management, Jilin University, Changchun, China)
Yuming He (Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, Virginia, USA)

The Electronic Library

ISSN: 0264-0473

Article publication date: 14 July 2023

Issue publication date: 24 July 2023

138

Abstract

Purpose

This paper aims to study individuals’ information service satisfaction during the COVID-19 pandemic lockdown in China’s urban communities.

Design/methodology/approach

The researchers analyse people’s uncertainties during the pandemic and argue that uncertainties caused by the lockdown can negatively affect people. By reducing people’s uncertainty during the pandemic, community staff members can improve individuals’ information service satisfaction and social order. This study constructs a conceptual model that includes key transparency and self-disclosure constructs and their relationships that can contribute to the trust and satisfaction of the community information service phenomenon. The researchers collected 489 responses to test their hypothesis from an online survey of Chinese residents in areas where the strict lockdown policy was implemented.

Findings

The empirical results show that policy and goods information transparency significantly affect information service satisfaction in a positive way, with goods information transparency having the highest impact. Second, self-disclosure of community staff members is also an effective way to increase information service satisfaction. Finally, trust plays a mediating role in the influence of information transparency and self-disclosure on information service satisfaction.

Originality/value

This paper innovatively uses uncertainty reduction theory to examine the effects of information transparency and self-disclosure on satisfaction with community information services. It expands the research in the field of information service satisfaction and extends the scope of the research subjects of self-disclosure.

Keywords

Acknowledgements

This work was supported by the National Social Science Fund of China [grant number 20&ZD125].

Declaration of interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

CRediT authorship contribution statement: Wang Shen: Conceptualization, Methodology, Formal analysis, Validation, Resources, Investigation, Writing – review and editing, Supervision. Junyao Wang: Methodology, Validation, Formal analysis, Investigation, Data curation, Writing – original draft. Yuming He: Writing – review and editing.

Citation

Shen, W., Wang, J., Feng, X. and He, Y. (2023), "Satisfaction with information services among individuals in China’s urban communities during the COVID-19 pandemic", The Electronic Library, Vol. 41 No. 4, pp. 474-502. https://doi.org/10.1108/EL-02-2023-0045

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

Related articles