The power of internet exposure: influence of online news coverage on restaurant survival

Hui, Li; Chen, Qian-Xia; Liang, Sai; Yang, Jingjing

doi:10.1108/ijchm-08-2021-1018

Cited by 6 publications

(7 citation statements)

References 48 publications

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“…Negative information mixed with positive information can have a positive impact on customers’ purchase behavior in some contexts (Sidnam-Mauch and Bighash, 2021). This result expands the knowledge of the relationship between news inconsistency and firm survival from linear (Li et al , 2022) to non-linear. With the inconsistency calculation method proposed in this study to quantify the degree of inconsistency, we can go deeply to investigate how different degrees of media coverage inconsistency affect the long-term survival of hotels.…”

Section: Resultssupporting

confidence: 56%

“…inconsistent product reviews (Byun et al , 2021). Among them, Li et al (2022) introduced the concept of inconsistency into the online news coverage context and regarded it as a dummy variable to indicate whether online news articles of one firm are inconsistent in tone. However, this study failed to quantify the degree of inconsistency and explore the different impacts of different degrees of media coverage inconsistency on firm survival.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

“…On the one hand, inconsistent media coverage may damage hotel survival by reducing purchase intention and behavior of prospective customers. Inconsistent media coverage is more likely to trigger customers’ cognitive dissonance than consistent one (Li et al , 2022). When consumers read the inconsistent media coverage, they will experience psychological discomfort according to the cognitive dissonance theory.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

“…The hospitality industry’s expansion coincides with the proliferation of online users (Mariani and Baggio, 2022), which has resulted in the rapid growth of social media’s influence on customer behavior (Ampountolas and Legg, 2021). Against this background, more hospitality firms have increasingly come to rely on Internet sales and conduct online marketing on social media platforms in the form of online media coverage covering their activities to attract more potential customers (Li et al , 2022). Online media coverage is regarded as authoritative by potential clients and has a wide influence on customers’ perceptions of hotels (Qiu et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

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Can inconsistent media coverage increase hotel survival? The bright side of controversy

Yuan

Liang

et al. 2022

IJCHM

Self Cite

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Purpose The impact of a mixture of positive and negative media coverage on long-run hotel survival remains unknown. This paper aims to investigate how the mixed positive and negative media coverage, namely, inconsistent media coverage, influences long-run hotel survival. Design/methodology/approach A yearly panel data set covering 792 news-reported hotels in Guangdong province of China, over the period 2010–2020, is analyzed using an inconsistency analysis framework consisting of text mining and survival analysis. The estimates of exponential models on the same observations and Cox estimates on alternative observations are used for robustness checks. Findings The inconsistency calculation method proposed here can measure the controversy degree well. There exists a U-shaped relationship between inconsistency of media coverage and hotel longevity, and hotel survival is significantly reduced only when the degree of inconsistency is within the range of 17.8%–53.6%. The U-shaped relationship is moderated by negative hotel image and by online media coverage on hotel operation strategy topics. Practical implications This study provides suggestions for hotel managers to use media coverage inconsistency to increase long-run hotel survival in the digital era. Originality/value To the best of the authors’ knowledge, this paper is one of the first to investigate long-run hotel survival factors from the perspective of media coverage inconsistency. It also proposes a method to calculate the degree of media coverage controversy, which helps to quantify the relationship between the degree of inconsistency and hotel survival.

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Section: Resultssupporting

confidence: 56%

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Can inconsistent media coverage increase hotel survival? The bright side of controversy

Yuan

Liang

et al. 2022

IJCHM

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, it is expected that people will ignore the negative aspects of the presented information and will be attracted only by the interesting properties of the variance itself. We argue that when the volume of online reviews is large, the facilitative effect of online reviews on consumers' purchase decisions will significantly outweigh the negative effects of online review variance (Li H. et al, 2022). Thus, the interaction between online review volume and variance of a new product has a facilitative effect on consumer purchase decisions.…”

Section: The Interaction Between Online Review Metrics and Consumer P...mentioning

confidence: 90%

A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com

et al. 2022

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With the prevalence of the Internet and new media channels, consumer reviews have become one of the main determinants of Consumers’ purchasing decisions. This paper uses the Latent Dirichlet Allocation (LDA) model to identify the key factors that are of major concern to consumers, including design factors, laptop setup factors, logistics factors, after-sales factors, and user experience factors. And, we classify these factors into product quality factors and supporting service factors for new products. We then explore the relationship between online reviews and purchase decisions under these different factors, and also further explore the impact of interactions between online review metrics on purchase decisions. Our findings suggest that the impact of online reviews on consumer purchase decisions also varies considerably across different consumer focus factors. In addition, we find that the impact of the interaction between online review features is complex. In particular, consumers do not follow the positive guidance and make purchase decisions as we would expect when confronted with a large number of positive emotional polarity online reviews. Meanwhile, the interaction between negative emotional polarity and variance of online reviews had no significant effect on consumer purchase decisions. The variance of online reviews has a limited role in reducing consumer risk perceptions triggered by negative emotional polarity. Our study provides new evidence for the study of the impact of online reviews through text mining.

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Survival characteristics of food and beverage businesses in a gentrified commercial area—A case study in Seoul, Korea

Cho,

Kwon,

Jeong

et al. 2023

Heliyon

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The power of internet exposure: influence of online news coverage on restaurant survival

Cited by 6 publications

References 48 publications

Can inconsistent media coverage increase hotel survival? The bright side of controversy

Can inconsistent media coverage increase hotel survival? The bright side of controversy

A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com

Survival characteristics of food and beverage businesses in a gentrified commercial area—A case study in Seoul, Korea

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