Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvement

Eslami, Seyed Pouyan; Ghasemaghaei, Maryam

doi:10.1016/j.jretconser.2018.08.003

Cited by 57 publications

(33 citation statements)

References 59 publications

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“…Five studies belonging to this cluster (Agnihotri and Bhattacharya, 2016;Eslami and Ghasemaghaei, 2018;Heng et al, 2018;Rathan et al, 2018;Costa et al, 2019) employed Amazon reviews mainly for conducting sentiment analysis. Uniquely Heng et al (2018) applied topic modelling approach by employing linear discriminant analysis (LDA) for determining helpfulness of reviews on consumers' coffee purchase decisions, and identified four factors (Amazon service, physical feature, flavor feature, and subjective expression) that impact the helpfulness of customer reviews.…”

Section: Proposed Classification Technique Increases Accuracy Of Review Polarity Calculation From %70s To %80smentioning

confidence: 99%

“…Readers find objective reviews more helpful, and helpfulness has a concave relationship with the text length. Eslami & Ghasemaghaei (2018) Investigating ( 1) review positiveness' impact on product sales, (2) online review score inconsistency's impact on sales, (3) the extent to which the impacts of online review positiveness and review score inconsistency on product sales are different between high and low involvement products.…”

Section: Liwcmentioning

confidence: 99%

“…Amazon reviews and conducted sentiment analysis via VADER (Valence Aware Dictionary and Sentiment Reasoner) library for anticipating if a review on published book/electronics was incentivized, and generated decision tree models were capable of correctly predicting bias reviews over 75% of times, based on some characteristics including length of review, helpfulness rate and the sentiment polarity. Eslami and Ghasemaghaei (2018) aimed to investigate impact of review positiveness and online review score inconsistency on product sales by analyzing over 15.000 Amazon reviews on musical instruments and digital music through Comprehensive R Archive Network (CRAN), and concluded that for high involvement products, review sentiment, review score and score inconsistency impact sales, and for low involvement products review sentiment, and review score impact sales. Finally, Rathan et al (2018) developed a sentiment analysis model through Support Vector Machine (SVM) by analyzing 400.000 Amazon reviews on phones and developed model provided 80% accuracy in detecting sentiment.…”

Section: Proposed Classification Technique Increases Accuracy Of Review Polarity Calculation From %70s To %80smentioning

confidence: 99%

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Sosyal Medya Analitiğinde Makine Öğrenmesi Uygulamaları: Literatür İncelemesi

Dobrucalı¹,

Ilter²

2020

Journal of Yaşar University

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Social media analytics (SMA), referring to the collection and analysis of user generated data from social media platforms, attract attention of both researchers and practitioners striving to derive consumer insights. The SMA domain grows multifariously, with a highlight on the capability of machine learning algorithms in capturing noteworthy insights through processing high-volume and complex data in a cost effective way. As machine learning applications draw attention as a fertile area that may re-shape the future of SMA, there is a need to comprehend trends and approaches in an integrative framework. Accordingly, this study aims to present an integrative framework by portraying machine learning application trends and approaches in SMA. 42 scientific articles published in refereed scientific business, management, and computational science journals between the years 2013 and 2019 are analyzed via systematic literature review based on visual text mining method (SLR-VTM). The results revealed five distinctive research clusters as: (1) review sites, (2) microblogs, (3) social networking sites, (4) content communities, (5) cross-media. This analysis plays a crucial role for enhancing our understanding regarding the intellectual structure of the field, acknowledging the leading studies of the domain, better positioning future research, and determining gaps and new paths for researchers.

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Section: Proposed Classification Technique Increases Accuracy Of Review Polarity Calculation From %70s To %80smentioning

confidence: 99%

Section: Liwcmentioning

confidence: 99%

Section: Proposed Classification Technique Increases Accuracy Of Review Polarity Calculation From %70s To %80smentioning

confidence: 99%

See 1 more Smart Citation

Sosyal Medya Analitiğinde Makine Öğrenmesi Uygulamaları: Literatür İncelemesi

Dobrucalı¹,

Ilter²

2020

Journal of Yaşar University

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“…eWOM is defined as "the dynamic and ongoing information exchange process between potential, actual, or former consumers regarding a product, service, brand or company, which is available to a multitude of people and institutions via the Internet" (Ismagilova et al, 2017, p.18). Studies have found positive relationships between eWOM and information adoption (Chang & Wu, 2014;Wang et al, 2015), change in attitude (Hsu et al, 2013;Huang & Korfiatis, 2015;Martin & Lueg, 2013;Pan & Chiou, 2011;Shareef et al, 2018), purchase intention (Bi et al, 2017;Chen et al, 2016;Hernandez & Handan, 2014;Pappas, 2016;Pereira et al, 2016;Plotkina & Munzel, 2016;Pookulangara & Koesler, 2011;Sweeney et al, 2014;Weisstein et al, 2017) and sales of products/services (Blal & Sturman, 2014;Cadario, 2014;Eslami & Ghasemaghaei, 2018;. However, information overload from vast quantities of eWOM can cause confusion and result in a negative effect on purchase intention (Furner & Zinko, 2017;Singh et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Perceived helpfulness of eWOM: Emotions, fairness and rationality

Ismagilova

Dwivedi

Slade

2020

Journal of Retailing and Consumer Services

109

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Consumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions.

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“…Finally, the characteristics of an advertised product could moderate a celebrity's ability to influence consumers' purchase decisions (Schouten, Janssen & Verspaget, 2020). Eslami and Ghasemaghaei (2018) stated that consumers were more engaged in information search and evaluation when they search for high involvement products, compared to those who are looking for low involvement products due to the financial and social risk. Thus, a celebrity's credibility could increase the perceived quality of high-involvement products and stimulate their purchasing (Al Zoubi & Bataineh, 2011;Punyatoya, 2011;Renton, 2009).…”

Section: Introductionmentioning

confidence: 99%

National or Global? Moderated Mediation Impact of Sports Celebrity Credibility on Consumer’s Purchase Intention

Dikčius

Ilciukiene²

2021

OMEE

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The paper aims to examine the role of localness of a sports celebrity and a level of product involvement in the mediated impact of the perceived product quality on the relationship between a sports celebrity’s credibility and consumers’ purchase intention in a developing economy. A total of 253 respondents participated in an experiment including the localness of 2 sports celebrities (global vs national) and2 product involvement (high vs low) levels. The study determined that sports celebrity credibility had both direct and indirect effects on respondents’ intention to buy, but product involvement moderated the direct impact of sports celebrity credibility on the consumer’s intention to buy a product. The direct impact was noticed in the case of low involvement products, and no impact was observed in the situation of high involvement. Besides, the study showed that global sports celebrities enjoyed a higher level of attractiveness, but the trustworthiness was higher for national celebrities. Finally, moderation analysis showed that the mediation effect of the localness of a sports celebrity on the relationship between credibility and intention to purchase depended on the type of measured effect – direct or indirect. This study expands the research on the effects of celebrity credibility on the consumer’s intention to purchase in developing economies.

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Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvement

Cited by 57 publications

References 59 publications

Sosyal Medya Analitiğinde Makine Öğrenmesi Uygulamaları: Literatür İncelemesi

Sosyal Medya Analitiğinde Makine Öğrenmesi Uygulamaları: Literatür İncelemesi

Perceived helpfulness of eWOM: Emotions, fairness and rationality

National or Global? Moderated Mediation Impact of Sports Celebrity Credibility on Consumer’s Purchase Intention

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