Online product review as an indicator of users’ degree of innovativeness and product adoption time: a longitudinal analysis of text reviews

Safi, Roozmehr; Yu, Yang

doi:10.1057/s41303-017-0045-2

Cited by 16 publications

(8 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, Helm et al (2013) provide empirical evidence that introversion is related to posting of product ratings, but do not study review language. The only article explicitly relating reviewer personality to review language is Safi and Yu's (2017) work that links reviewers' innate innovativeness to various properties of product reviews, e.g., expressed concern with cost or degrees of uncertainty and optimism.…”

Section: Online Consumer Reviewsmentioning

confidence: 99%

“…Despite the prominence of research on the effects of review language, however, little is known about why reviewers vary in the ways they use language, build arguments, and expend effort on their reviews. Particularly, while some nascent research has emerged in this field (e.g., Hu et al 2008;Willemsen et al 2011), only one study (Safi and Yu 2017) has so far specifically illuminated the influence of reviewer personality on the characteristics of online consumer review language. This is surprising given that personality has long been considered an important factor to explain differences in e-commerce behavior (e.g., Gefen 2000) and information systems use in general (Zmud 1979).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language

et al. 2020

View full text Add to dashboard Cite

Online reviews, i.e., evaluations of products and services posted on websites, are ubiquitous. Prior research observed substantial variance in the language of such online reviews and linked it to downstream consequences like perceived helpfulness. However, the understanding of why the language of reviews varies is limited. This is problematic because it might have vital implications for the design of IT systems and user interactions. To improve the understanding of online review language, the paper proposes that consumers’ personality, as reflected in their political ideology, is a predictor of such online review language. Specifically, it is hypothesized that reviewers’ political ideology as measured by degree of conservatism on a liberal–conservative spectrum is negatively related to review depth (the number of words and the number of arguments in a review), cognitively complex language in reviews, diversity of arguments, and positive valence in language. Support for these hypotheses is obtained through the analysis of a unique dataset that links a sample of online reviews to reviewers’ political ideology as inferred from their online news consumption recorded in clickstream data.

show abstract

Section: Online Consumer Reviewsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language

et al. 2020

View full text Add to dashboard Cite

show abstract

“…With the increasing importance of online product reviews, the amount and diversity of research in this area has increased dramatically. The purposes of these works are to analyze user characteristics [29], provide product purchase suggestions [30], and improve product design [31], etc.…”

Section: Mining Online Product Reviewsmentioning

confidence: 99%

User experience evaluation method based on online product reviews

Cheng

Qin

et al. 2021

IFS

View full text Add to dashboard Cite

Evaluating the quality of the user experience (UX) of existing products is important for new product development. Conventional UX evaluation methods, such as questionnaire, have the disadvantages of the great subjective influence of investigators and limited number of participants. Meanwhile, online product reviews on e-commerce platforms express user evaluations of product UX. Because the reviews objectively reflect the user opinions and contain a large amount of data, they have potential as an information source for UX evaluation. In this context, this study explores how to evaluate product UX through using online product reviews. A pilot study is conducted to define the key elements of a review. Then, a systematic method of product UX evaluation based on reviews is proposed. The method includes three parts: extraction of key elements, integration of key elements, and quantitative evaluation based on rough number. The effectiveness of the proposed method is demonstrated by a case study using reviews of a wireless vacuum cleaner. Based on the proposed method, designers can objectively evaluate the UX quality of existing products and obtain detailed suggestions for product improvement.

show abstract

“…Saura et al [44] analyzed sentiments in Twitter users' comments in response to Black Friday marketing efforts. Text mining of users' reviews can also be undertaken from a longitudinal perspective [45].…”

Section: Analyzing Promotional Texts With Web Extraction and Text Miningmentioning

confidence: 99%

Strategies for Marketing Really New Products to the Mass Market: A Text Mining-Based Case Study of Virtual Reality Games

Zhang

2020

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

This paper reports on a text mining-based case study aimed at determining how virtual reality (VR) games, as examples of really new products (RNPs), market themselves when they are introduced to the mass market. The goal was to examine the marketing foci of RNPs and any subsequent changes over time when the RNPs survive. VR games are a type of RNP offering several unique benefits, such as immersive gameplay and storytelling, which are advanced compared with their earlier counterparts. To examine the marketing foci of VR games, we collected 17,000 pieces of promotional text from a major online gaming marketplace, Steam Store, published from the beginning of the second quarter of 2016 to the third quarter of 2018. We performed text analysis (topic modeling) and found that game marketers paid particular attention to the VR nature of VR games when they first entered the marketplace. However, game content increasingly was emphasized in subsequent quarters. In addition, the marketing foci for VR games seemed to go through an exploratory process, which was not observed among non-VR games in the same period. The results offer insights into how the focus of RNPs’ marketing evolves as their newness fades.

show abstract

Online product review as an indicator of users’ degree of innovativeness and product adoption time: a longitudinal analysis of text reviews

Cited by 16 publications

References 64 publications

Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language

Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language

User experience evaluation method based on online product reviews

Strategies for Marketing Really New Products to the Mass Market: A Text Mining-Based Case Study of Virtual Reality Games

Contact Info

Product

Resources

About