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Virtual community users’ travel information-seeking continuance intention: an empirical study based on the cognitive load theory and flow theory

Zhangxiang Zhu (College of Tourism, Hunan Normal University, Changsha, China)
Kening Yang (College of Tourism, Hunan Normal University, Changsha, China)

Journal of Systems and Information Technology

ISSN: 1328-7265

Article publication date: 14 March 2023

Issue publication date: 29 March 2023

324

Abstract

Purpose

Virtual communities are useful sources of travel information for tourists. To better promote the sustainable development of virtual communities and provide theoretical guidance, this study aims to explore how the cognitive load generated by tourists in the information-seeking process facilitates the formation of their continuance intention.

Design/methodology/approach

Built on the cognitive load theory and flow theory, this study investigates the formation mechanism of virtual community users’ continuance intention to seek travel information. A total of 328 valid questionnaires were collected and used for hypothesis testing.

Findings

The results show that perceived usefulness, perceived information consistency and prior experience positively affect continuance intention. Concentration and time distortion have significant effects on continuance intention. Moreover, concentration and time distortion mediate between prior experience and continuance intention.

Originality/value

This study clarifies the formation mechanism of virtual community users’ continuance intention of travel information seeking from a new perspective. The conclusions enrich the research on consumer behavior in the information search field and provide a reference for virtual communities.

Keywords

Acknowledgements

Research funding: This work was supported by the Hunan Provincial Natural Science Foundation of China [Grant No. 2022JJ30409].

Declarations of interest: No potential conflict of interest was reported by the authors.

Citation

Zhu, Z. and Yang, K. (2023), "Virtual community users’ travel information-seeking continuance intention: an empirical study based on the cognitive load theory and flow theory", Journal of Systems and Information Technology, Vol. 25 No. 1, pp. 91-108. https://doi.org/10.1108/JSIT-07-2022-0178

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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