Does national culture explain consumers’ reliance on online reviews? Cross-cultural variations in the effect of online review ratings on consumer choice

Kim, Rae Yule

doi:10.1016/j.elerap.2019.100878

Cited by 23 publications

(19 citation statements)

References 49 publications

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“…The research model developed by (Chen & Xie, 2008;Flanagin & Metzger, 2007;Frederick F.Reichheld, 2003;Tuk et al, 2009; Y. Zhang et al, 2017) found that review ratings can shape consumer confidence and (Heng et al, 2018;Ichsan et al, 2018;R. Y. Kim, 2019;J.…”

Section: Rating Reviewmentioning

confidence: 99%

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Purchase Behavior : Online Tour Package

Hamdan

Yuliantini

2021

DIJMS

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The purpose of this study was to analyze a model of online tour package purchasing behavior which is influenced by the perceptual aspects of review ratings, perceived risk, trust and purchase intention. The research design used a combination of exploratory, descriptive-quantitative research. The population and sample selection uses consumers in West Jakarta who will purchase tour packages online. Determining the number of samples using purposive sampling technique and will be distributed to 203 consumers. These findings prove that the rating review positive effect on trust and perceptions of risk. Perceptions of risk have a negative effect on trust and purchase intention. Trust has a positive effect on purchase intention. This is an important consideration for business actors in making future marketing strategy decisions to achieve competitive advantage.

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Section: Rating Reviewmentioning

confidence: 99%

“…Previous findings suggest that positive online reviews can improve buying behavior (R. Y. Kim, 2019;V. Wangenheim & Bayón, 2007).…”

Section: Introductionmentioning

confidence: 99%

Purchase Behavior : Online Tour Package

Hamdan

Yuliantini

2021

DIJMS

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“…Uncertainty avoidance can also affect consumers' use of eWOM. Kim (2019) posits that uncertainty avoidance has a positive impact on customers' use of online reviews. In addition, Broeder and van Hout (2019) observe in a study conducted with Russian and Dutch respondents, as representatives of high and low uncertainty avoidance cultures respectively, that the purchase interests of both groups are strongly influenced by the eWOM shared by strong ties, compared with that given by weak ties.…”

Section: Ewom Usagementioning

confidence: 99%

National cultures and their impact on electronic word of mouth: a systematic review

Dang

Raška

2021

IMR

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PurposeThis paper aims to summarize peer-reviewed journal articles on national cultures and electronic word of mouth (eWOM) behavior, identify the main findings and patterns among those studies and discuss research gaps that need to be addressed in the future.Design/methodology/approachA systematic review process was utilized to analyze peer-reviewed journal articles on both eWOM and national cultures. The main research questions were defined, then proceeded by the identification of exclusive and inclusive criteria to search for relevant articles, which were further filtered based on abstracts and full texts, and then scrutinized for main findings and major variables such as countries, cultural variables and data collection methods.FindingsAn analysis of 52 papers shows that national cultures, primarily Hofstede's dimensions, influence the willingness of individuals to share eWOM, how they write eWOM and the extent to which they use eWOM to make decisions. Although the reviewed studies have provided insightful implications for marketing theory and practice, the present paper has identified a number of important questions that warrant future research attention.Originality/valueeWOM is continually being employed as a popular source of information for consumers throughout different countries to make their purchase decisions. However, eWOM behavior differs from country to country due to national cultures, and managers' eWOM strategies that work in one country may not be applicable in another. Therefore, there has been an increasing interest in this topic. Nevertheless, it remains unclear which subjects have been addressed and what areas are yet to be investigated. This paper presents a comprehensive review of how national cultures affect eWOM behavior by drawing upon prior research and provides directions for future research contributions.

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“…Among research on this meta-topic, one stream focuses on the sentiment analysis of online reviews with the goal of mining desirable product/service features [9], evaluating product/service quality [10], and predicting review helpfulness [11] and star ratings [12]. However, relatively few studies explore this research topic from a cross-cultural perspective, such as the impact of national culture on consumer reliance on reviews [13] or the culture-of-origin effect [14]. Virtually no studies compare review sentiments and their correlation with star ratings from the cross-cultural perspective.…”

Section: Introductionmentioning

confidence: 99%

A Sentiment Analysis of Star-rating: a Cross-Cultural Perspective

Wan¹,

Nakayama²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Consumer-generated reviews and ratings are critical for the tourism industry. The star rating distribution of services can significantly influence a consumer's decision-making and choice of services. We analyze the star rating distribution of restaurant reviews from three nations (Japan, China, and the U.S.) and find two distribution patterns: bimodal and unimodal. Then, we analyze the sentiment correlation with each star rating across the three cultures. We find the inconsistency of positive sentiment correlation with 5-and 4-star ratings generated by Japanese consumers. Possible contributing factors, including biases, national culture, and socioeconomic conditions, are discussed.

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Does national culture explain consumers’ reliance on online reviews? Cross-cultural variations in the effect of online review ratings on consumer choice

Cited by 23 publications

References 49 publications

Purchase Behavior : Online Tour Package

Purchase Behavior : Online Tour Package

National cultures and their impact on electronic word of mouth: a systematic review

A Sentiment Analysis of Star-rating: a Cross-Cultural Perspective

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