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Reducing Online Sellers’ Opportunistic Behavior: Designing Information Consistency and Information Relevancy

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Human Interaction, Emerging Technologies and Future Systems V (IHIET 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 319))

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Abstract

Due to the anonymity of Internet, it has created fertile ground for exacerbating online sellers’ opportunistic behavior. Social academic community’s interest in studying opportunistic behavior is still developing. This study aims to develop a model that depicts a set of mitigating factors (e.g., information consistency and relevancy) on sellers’ opportunistic behavior. A survey was used to collect data from online consumers. The results indicate that fears of seller opportunism mediated the relationship between information consistency and perceived risk. Also, information relevancy moderates the effects of information consistency on fears of seller opportunism. The theoretical and practical implications of this study are discussed.

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Acknowledgments

This research was supported by the grants from the National Natural Science Foundation of China (No. 71601168; 71172113).

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Authors and Affiliations

  1. School of Management, Zhejiang University of Technology, Hangzhou, 310023, People’s Republic of China

    Chunping Jiang

  2. School of Management, Zhejiang University, Hangzhou, 310012, People’s Republic of China

    Fan Zhou

Authors
  1. Chunping Jiang
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  2. Fan Zhou
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Corresponding author

Correspondence to Chunping Jiang .

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Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Campus du Moulin de la Housse, Université de Reims Champagne Ardenne GRESPI, Reims Cedex, France

    Redha Taiar

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Jiang, C., Zhou, F. (2022). Reducing Online Sellers’ Opportunistic Behavior: Designing Information Consistency and Information Relevancy. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_19

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  • DOI: https://doi.org/10.1007/978-3-030-85540-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85539-0

  • Online ISBN: 978-3-030-85540-6

  • eBook Packages: EngineeringEngineering (R0)

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