Online review manipulation by asymmetrical firms: Is a firm’s manipulation of online reviews always detrimental to its competitor?

Cao, Huanhuan

doi:10.1016/j.im.2019.103244

Cited by 26 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These conclusions are consistent with the previous literature. 101 , 102 These findings can motivate platform designers to consider the targeted design for review components with attaining certain affordances to satisfy consumer-specific demands. 103 For example, the intelligent topic mining of review components’ positive effect on perceived enjoyment suggests that the smarter the review components designed by platforms, the more enjoyable consumers could feel.…”

Section: Discussionmentioning

confidence: 99%

Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty

Jia¹,

Li²,

Wang³

2022

PRBM

View full text Add to dashboard Cite

Background: Online review system contains multiple components, such as ratings, review text, product pictures, and video uploads, that could affect consumer loyalty. However, how the affordance of such components influences perceptions and behaviors of consumers remains unclear. We extend stimulus-organism-response (S-O-R) theory to the online review system. Specifically, we combine affordance theory and the technology acceptance model (TAM) to investigate the relations among the affordance of review systems, consumers' perceived beliefs, and their loyalty. Methods: We surveyed 320 customers on their online shopping experiences in China. We tested our hypotheses using the partial least squares path structural equation modeling (PLS-SEM) method. We report the direct effect of affordances of review components on consumer loyalty and its indirect effects on consumer loyalty through perceived beliefs. Results: Our results show that integrity and social interaction affordance of review components have significant relations with perceived ease of use, perceived usefulness, and perceived enjoyment. Intelligent topic mining reveals a positive relation on perceived enjoyment. Operability has a positive relation with perceived ease of use and perceived usefulness. These three consumer-perceived beliefs can mediate, to different degrees, the relationship between affordance of review components and consumer loyalty. Conclusion:This research takes an innovative approach to offer insights into the relationships between IT affordances and consumer perceptions. We examine S-O-R theory through the lens of information technology and extend S-O-R theory by integrating IT affordances. Our research findings pave the way for businesses to design and implement more effective online review systems.

show abstract

Section: Discussionmentioning

confidence: 99%

Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty

Jia¹,

Li²,

Wang³

2022

PRBM

View full text Add to dashboard Cite

show abstract

“…Furthermore, it would be interesting to extend the method proposed in this paper to Pythagorean fuzzy uncertain environment [62]. In addition, as merchants become aware of the impact online reviews have on consumers, they are beginning to resort to online review manipulation [63,64]. Consequently, how to identify genuine and valid online reviews in the case of online review manipulation is something that needs further research.…”

Section: Discussionmentioning

confidence: 99%

A Method of Product Selection Based on Online Reviews

Liang

Guo

Sun

et al. 2021

Mobile Information Systems

View full text Add to dashboard Cite

With the rapid development of information technology and market economy, global e-commerce platform develops rapidly. Recently, online reviews are widely available on e-commerce platforms to express customers’ experience of products. When ranking alternative products based on online reviews, how to make full use of the information in online reviews to represent the sentiment analysis results of online reviews is an important prerequisite for decision analysis. To this end, we propose a method for measuring the time utility and support utility of online reviews. Then a method for representing the sentiment analysis results of online reviews in the form of linguistic distribution is proposed. In addition, in view of the attributes and their weights being unknown, we propose a method for extracting product attributes from online reviews by using the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm; and the objective weights of attributes are determined through the Criteria Importance through Intercriteria Correlation (CRITIC) method. Additionally, in order to highlight the differences between the alternatives, the roulette wheel selection algorithm is first used to randomly select product attributes. Then the alternative products can be ranked by the extended Multi-Attributive Border Approximation area Comparison (MABAC) method with mixed information. Finally, we illustrate the applicability of the proposed method through a case study of selecting a 5G mobile phone and simulation experiment.

show abstract

“…Paid posters. Along with the intensifying competition within the platform economy, self-boasting behaviors or malicious defamation among competitors have begun to widespread (Cao, 2020). Some vendors could employ paid posters to make fake reviews to boost their stores' sales volume and improve their ranking to make profits and obtain competitive advantages.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

What makes deceptive online reviews? A linguistic analysis perspective

Zhang,

Wang,

et al. 2023

Humanit Soc Sci Commun

View full text Add to dashboard Cite

With the rapid development of e-commerce, online reviews have become an important information source for consumers and e-commerce businesses. While the negative impact of deceptive online reviews has been well recognized, more research has to be done to help understand the linguistic manifestations of deceptive online reviews in order to help identify deceptive reviews and help increase the value and sustainability of e-commerce businesses. This study explores the linguistic manifestations of deceptive online reviews based on the reality monitoring theory, and then uses the data from Amazon.com online product reviews to examine perceptual cues, affective cues, detail cues, relevance cues, and cognitive cues of various deceptive online reviews. The results show that reviews for emotional catharsis are more extreme with affective cues, while perfunctory reviews often lack details with fewer prepositions and adjectives. In addition, deceptive reviews often lack relevance cues when these reviews are made to obtain the rewards provided by the vendors while paid posters tend to use more cognitive cues in deceptive reviews. Moreover, deceptive online reviews under all motives often lack perceptual cues. These findings provide a deeper understanding of the linguistic manifestations of deceptive online reviews and provide significant managerial implications for e-commerce businesses to employ high-quality online reviews for sustainable growth.

show abstract

Online review manipulation by asymmetrical firms: Is a firm’s manipulation of online reviews always detrimental to its competitor?

Cited by 26 publications

References 19 publications

Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty

Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty

A Method of Product Selection Based on Online Reviews

What makes deceptive online reviews? A linguistic analysis perspective

Contact Info

Product

Resources

About