Proposed Methods for Evaluating Customer Well-Being and Store Satisfaction Using Online Product Reviews

Author(s):  
Atsuki Tanaka ◽  
Michiko Tsubaki
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Omer Cem Kutlubay ◽  
Mesut Cicek ◽  
Serdar Yayla

Purpose The ongoing COVID-19 pandemic has led to drastic changes in the lives of customers. Social isolation, financial difficulties, fear of being infected and many other factors have caused the psychological well-being of customers to deteriorate. By taking up the role of online reviews in the regulation of consumers’ moods, this study aims to examine the changes that have occurred in online product ratings, as well as the negative tone and word counts of product reviews during the COVID-19 pandemic. Design/methodology/approach This study examines the online reviews of 321 products in the pre-COVID, immediate COVID and extended COVID periods. This paper compares the changes that have taken place in product evaluations via various analysis of variance analyses. The authors also test the effect of COVID-related deaths on product evaluations via regression analyses. Findings The results indicate that online product ratings decreased sharply just after the outbreak of COVID-19. The study also found that the tone of reviews was found to be more negative and the length of reviews appeared to be longer in comparison to the pre-COVID-19 period. The results also revealed that the product type (experience vs search) moderated the effect of the pandemic in online reviews and the impact of COVID-19 on online product reviews diminished in the later stages of the ongoing pandemic. Practical implications Managers should be aware of the detrimental impact of pandemics on online product reviews and be more responsive to customer problems during the early stages of pandemics. Originality/value To the best of the authors’ knowledge, this is the first study that analyzes the effects of a pandemic on online product ratings and review content. As such, this study offers a timely contribution to the marketing literature.


2018 ◽  
Vol 51 (1-3) ◽  
pp. 25-49
Author(s):  
Ravi KUMAR ◽  
Teja SANTOSH DANDIBHOTLA ◽  
Vishnu VARDHAN BULUSU

2018 ◽  
Vol 13 (4) ◽  
pp. 192 ◽  
Author(s):  
Li Yang

It is widely proved that positive online word-of-mouth (WOM) can boost sales and negative online WOM harm sales. Then will more positivity or negativity of messages in online product reviews text have greater impact on product sales? This research attempts to tackle this ignored research question. The answer is counter-intuitive: it depends on how positive or negative they are! The results of a two-way fixed-effects panel data analysis based on the data about tablet market in Amazon and a novel sentiment analysis technique demonstrate that the most and least polarized online product reviews actually have no effect on sales and only moderate positive / negative reviews can affect sales. Such effects can be explained by the optimal arousal theory and attribution theory. Inspired by the findings, three strategies for user-generated content (UGC) management are proposed.


2021 ◽  
Author(s):  
Joanne DiNova

This paper examines the use of language in user generated online product reviews on the website Yelp.ca. Using both Relevance Theory and the Co-operative Principle this study identifies nine linguistic devices to analyze within restaurant reviews on this website. Yelp.ca administrators identify some reviewers as “Elite Reviewers.” This study contrasted twenty-five Elite reviews with twenty-five Non-Elite reviews in order to determine which linguistic devices were more prevalent within Elite reviews. The findings illustrate that there are concrete differences between these two types of reviews. Assuming that Elite Reviews are in fact more persuasive, these findings suggest that there may be concrete attributes of a review that make it more persuasive in an online, user generated context.


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