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How does social overload lead to withdrawal behavior? The case of social communities on social networking sites

Thac Dang-Van (Applied Economics Research Group, Faculty of Economics-Management, Dong Nai Technology University, Bien Hoa, Vietnam) (School of International Business-Marketing, University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam)
Phuoc-Thien Nguyen (Faculty of Business Administration, University of Economics and Finance Ho Chi Minh City, Ho Chi Minh, Vietnam)
Thinh Truong Vu (Faculty of Economics–Management, Dong Nai Technology University, Bien Hoa, Vietnam)
Manh Quynh Doan (Applied Economics Research Group, Faculty of Economics-Management, Dong Nai Technology University, Bien Hoa, Vietnam)

Information Technology & People

ISSN: 0959-3845

Article publication date: 21 January 2025

34

Abstract

Purpose

On the basis of the conservation of resources theory (CORT), this study investigates the relationship between social overload and users’ withdrawal intention from social communities on social networking sites (SNSs), with the serial mediating mechanisms of social-psychological distance and emotional exhaustion and the moderating mechanism of (similar) linguistic style.

Design/methodology/approach

Data were collected from 489 users in different social communities on SNSs in an emerging market. Structural equation modeling was used to analyze the sample data and test the hypotheses.

Findings

Results show that social overload has a positive influence on withdrawal intention from social communities on SNSs. Furthermore, social-psychological distance and emotional exhaustion have a serial mediating effect in this relationship. In addition, (similar) linguistic style negatively moderates the link between social overload and emotional exhaustion and that between social overload and withdrawal intention.

Originality/value

This study extends CORT to propose and test a unique research model that clarifies the mechanisms leading to users’ withdrawal behavior from social communities on SNSs. The findings of this study provide implications for researchers, individual users, administrators/managers of social communities, and SNS providers to understand and make better decisions to retain member users.

Keywords

Acknowledgements

This research is funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) (No: 19/2022/TN). (This research was conducted during the time Dr. Thac Dang-Van was working at Dong Nai Technology University. However, the reviewing process of this paper was addressed when he changed to work at the University of Economics Ho Chi Minh City).

Citation

Dang-Van, T., Nguyen, P.-T., Vu, T.T. and Doan, M.Q. (2025), "How does social overload lead to withdrawal behavior? The case of social communities on social networking sites", Information Technology & People, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ITP-02-2024-0224

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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