Electronic word of mouth and hotel performance: A meta-analysis

Yang Yang; Sangwon Park; Xingbao Hu

doi:10.1016/j.tourman.2018.01.015

Electronic word of mouth and hotel performance: A meta-analysis

Yang Yang, Sangwon Park, Xingbao Hu

Research output: Journal article publication › Journal article › Academic research › peer-review

162 Citations (Scopus)

Abstract

This study synthesizes existing empirical results about the relationship between electronic word of mouth (eWOM) and hotel performance via meta-analysis. Based on estimates from 25 articles, the average eWOM valence-based elasticity is estimated to be 0.888, whereas the average volume-based elasticity is 0.055. A hierarchical linear model is applied to uncover five aspects that explain variations in eWOM elasticities: research setting, data structure, variable measurement, model specification, and research outlet. The estimation results highlight several significant aspects affecting elasticity, such as year of study, geographic setting, panel data structure, data frequency, performance measurement, control of price variable, and function form. Finally, implications are provided for researchers and hoteliers.

Original language	English
Pages (from-to)	248-260
Number of pages	13
Journal	Tourism Management
Volume	67
DOIs	https://doi.org/10.1016/j.tourman.2018.01.015
Publication status	Published - 1 Aug 2018

Keywords

eWOM effect
Hierarchical linear model (HLM)
Hotel performance
Meta-analysis

ASJC Scopus subject areas

Development
Transportation
Tourism, Leisure and Hospitality Management
Strategy and Management

More information

10.1016/j.tourman.2018.01.015

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title = "Electronic word of mouth and hotel performance: A meta-analysis",

abstract = "This study synthesizes existing empirical results about the relationship between electronic word of mouth (eWOM) and hotel performance via meta-analysis. Based on estimates from 25 articles, the average eWOM valence-based elasticity is estimated to be 0.888, whereas the average volume-based elasticity is 0.055. A hierarchical linear model is applied to uncover five aspects that explain variations in eWOM elasticities: research setting, data structure, variable measurement, model specification, and research outlet. The estimation results highlight several significant aspects affecting elasticity, such as year of study, geographic setting, panel data structure, data frequency, performance measurement, control of price variable, and function form. Finally, implications are provided for researchers and hoteliers.",

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N2 - This study synthesizes existing empirical results about the relationship between electronic word of mouth (eWOM) and hotel performance via meta-analysis. Based on estimates from 25 articles, the average eWOM valence-based elasticity is estimated to be 0.888, whereas the average volume-based elasticity is 0.055. A hierarchical linear model is applied to uncover five aspects that explain variations in eWOM elasticities: research setting, data structure, variable measurement, model specification, and research outlet. The estimation results highlight several significant aspects affecting elasticity, such as year of study, geographic setting, panel data structure, data frequency, performance measurement, control of price variable, and function form. Finally, implications are provided for researchers and hoteliers.

AB - This study synthesizes existing empirical results about the relationship between electronic word of mouth (eWOM) and hotel performance via meta-analysis. Based on estimates from 25 articles, the average eWOM valence-based elasticity is estimated to be 0.888, whereas the average volume-based elasticity is 0.055. A hierarchical linear model is applied to uncover five aspects that explain variations in eWOM elasticities: research setting, data structure, variable measurement, model specification, and research outlet. The estimation results highlight several significant aspects affecting elasticity, such as year of study, geographic setting, panel data structure, data frequency, performance measurement, control of price variable, and function form. Finally, implications are provided for researchers and hoteliers.

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DO - 10.1016/j.tourman.2018.01.015

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JO - Tourism Management

JF - Tourism Management

ER -

Electronic word of mouth and hotel performance: A meta-analysis

Abstract

Keywords

ASJC Scopus subject areas

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