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Bayesian Consideration for Trust in Ewom: Evidence from Vietnam

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Machine Learning for Econometrics and Related Topics

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 508))

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Abstract

The chapter discovers elements influencing trust in electronic word of mouth when using the goods and services of shop** malls through variables: information quality, care information, social influence, and perceived risk awareness. We gathered the data for the study from highly reliable information sources and primary data collected through a survey of 180 clients. Through research results show that most customers are most concerned with the factors of quality of information and perceived risk of trust in electronic word of mouth (eWOM). Based on the analysis results received, please give some solutions and recommendations to contribute a small part of your opinion on the development of optimal power and enhanced power of electronic word of mouth to Shop** malls in competitive conditions between banks higher and higher today. Finally, the author presents the research implications for administrators and the next research direction. Previous studies revealed that using linear regression. The paper uses the optimum selection by Bayesian consideration for Trust in power and enhanced power of electronic word of mouth.

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Author information

Authors and Affiliations

  1. Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Bui Huy Khoi

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  1. Bui Huy Khoi
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Correspondence to Bui Huy Khoi .

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Editors and Affiliations

  1. University of Texas at El Paso, Department of Computer Science, El Paso, TX, USA

    Vladik Kreinovich

  2. Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand

    Songsak Sriboonchitta

  3. Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand

    Woraphon Yamaka

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Khoi, B.H. (2024). Bayesian Consideration for Trust in Ewom: Evidence from Vietnam. In: Kreinovich, V., Sriboonchitta, S., Yamaka, W. (eds) Machine Learning for Econometrics and Related Topics. Studies in Systems, Decision and Control, vol 508. Springer, Cham. https://doi.org/10.1007/978-3-031-43601-7_20

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  • DOI: https://doi.org/10.1007/978-3-031-43601-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43600-0

  • Online ISBN: 978-3-031-43601-7

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