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Service providers' intention to continue sharing: the moderating role of two-way review system

Jengchung Victor Chen (Institute of International Management, National Cheng Kung University, Tainan, Taiwan)
Sorawit Biamukda (Institute of International Management, National Cheng Kung University, Tainan, Taiwan)
Sinh Thi Thu Tran (Institute of International Management, National Cheng Kung University, Tainan, Taiwan)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 6 July 2020

Issue publication date: 11 August 2020

467

Abstract

Purpose

This study aims at investigating the effects of two-way review system and how reach and richness of information influence the perceptions of risks and benefits among service providers and their intention to continue sharing their property on sharing economy.

Design/methodology/approach

To generate the variance, a 2 × 2 × 2 full factorial experiment was conducted to collect data. The research model was then tested using the structural equation model technique.

Findings

The study finds that reach of information predicts the social and economic benefits among service providers, while richness of information negatively relates to perceived informational privacy risks, which, in turn, significantly influence the decision of the service providers to continue sharing. The results also suggest that the existence of the two-way review system weakens the effects of reach on perceived social benefits and of richness on perceived informational privacy risks.

Originality/value

The present study investigates the two-way review system as the intervention of platforms to protect the service providers. Also, the emphasis is on the service providers rather than on consumers on sharing economy platforms to investigate their behavioral intention as customers on such platforms.

Keywords

Citation

Chen, J.V., Biamukda, S. and Tran, S.T.T. (2020), "Service providers' intention to continue sharing: the moderating role of two-way review system", Industrial Management & Data Systems, Vol. 120 No. 8, pp. 1543-1564. https://doi.org/10.1108/IMDS-08-2019-0436

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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