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The match and mismatch between providers and customers in accommodation sharing: a cognitive style perspective

Aihui Chen (College of Management and Economics, Tianjin University, Tianjin, China)
Ying Yu (College of Management and Economics, Tianjin University, Tianjin, China)
Yaobin Lu (School of Management, Huazhong University of Science and Technology, Wuhan, China)

Information Technology & People

ISSN: 0959-3845

Article publication date: 5 April 2021

Issue publication date: 1 April 2022

657

Abstract

Purpose

The peer-to-peer (P2P) accommodation-sharing market has developed rapidly on the strength of information technology in recent years. Matching providers and customers in an information technology (IT)-enabled platform is a key determinant of both parties' experiences and the healthy development of the platform. However, previous research has not sufficiently explained the mechanism of provider–customer matching in accommodation sharing, especially at the psychological level. Based on field cognitive style theory, this study examines how the match and mismatch affect customers' online and offline satisfaction and whether a significant difference exists between online and offline satisfaction under different matching patterns.

Design/methodology/approach

The authors test the proposed theoretical model using 122 provider–customer dyad data collected through a field study.

Findings

The results suggest that customers' online and offline satisfaction under match is significantly higher than that under mismatch. In addition, customers' online satisfaction is significantly higher than their offline satisfaction under mismatch, but there is no significant difference between the two under match. The perceived price fairness also plays a moderating role in the case of mismatch.

Originality/value

In summary, these findings provide a novel understanding about the matching patterns and their outcomes in the accommodation-sharing context and expand the contents and applications of field cognitive style theory and matching theory. This study will help these IT-enabled platforms to provide personalized matching services at the psychological level, thereby enhancing user experience and corporate competitiveness. 10; 10;

Keywords

Acknowledgements

This work was supported by the grants of NSFC (71502126 & 71810107003) and the grant of NSSFC (18ZDA109).

Citation

Chen, A., Yu, Y. and Lu, Y. (2022), "The match and mismatch between providers and customers in accommodation sharing: a cognitive style perspective", Information Technology & People, Vol. 35 No. 3, pp. 899-924. https://doi.org/10.1108/ITP-01-2020-0001

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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