Comparative Reviews vs. Regular Consumer Reviews

Vali, Hessam; Xu, Jingjun; Yildirim, Mehmet Bayram

doi:10.4018/jgim.20211101.oa7

Cited by 7 publications

(4 citation statements)

References 51 publications

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“…In addition, the arousal generated from reading the review content and star ratings received also positively affect review helpfulness. Sometimes, the presentation format of the reviews may also play a part in the review processing (Vali et al, 2021). Apart from applying CTML in this study, we find that although ELM and HSM theories are widely acknowledged in the related literature (see Table A1 in Appendix), they do not directly address how multimedia can influence the helpfulness of online reviews.…”

Section: Cognitive Theory Of Multimedia Learning Multimedia Reviews A...mentioning

confidence: 89%

“…For instance, Wang and Tong (2022) have studied online product reviews and have shown from their results that along with characteristics of the review text, the perceived product quality and product-unrelated information from review images would also influence product sales. In another study, Vali et al (2021) propose and evaluate the effect of mixed comparative reviews on review value. The authors compare the results with separate comparative and regular reviews.…”

Section: Cognitive Theory Of Multimedia Learning Multimedia Reviews A...mentioning

confidence: 99%

See 1 more Smart Citation

What are the significant determinants of helpfulness of online review? An exploration across product-types

Ganguly,

Sengupta,

Biswas

2024

Journal of Retailing and Consumer Services

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Section: Cognitive Theory Of Multimedia Learning Multimedia Reviews A...mentioning

confidence: 89%

Section: Cognitive Theory Of Multimedia Learning Multimedia Reviews A...mentioning

confidence: 99%

What are the significant determinants of helpfulness of online review? An exploration across product-types

Ganguly,

Sengupta,

Biswas

2024

Journal of Retailing and Consumer Services

View full text Add to dashboard Cite

“…In other words, potential customers' purchasing decisions are somehow influenced by what previous customers have commented on, so studying online reviews may help to understand customers' purchasing behavior (Ashraf et al. 2020; Vali, Xu, & Yildirim, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Previous buyers may describe the product based on their use of the item, and in this way, provide other potential customers with helpful information to assist them in further confirming that the product may match their needs. In other words, potential customers' purchasing decisions are somehow influenced by what previous customers have commented on, so studying online reviews may help to understand customers' purchasing behavior (Ashraf et al 2020;Vali, Xu, & Yildirim, 2021).…”

Section: Introductionmentioning

confidence: 99%

The differential effect of three types of conflicting online reviews on perceived informativeness

Xian,

Vali,

Tian

et al. 2023

JEBDE

Self Cite

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PurposeThe authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of an item and the intensity of conflicting reviews of an item) on the potential customers' perceived informativeness, which is expected to affect the perceived correct purchase.Design/methodology/approachTo test their proposed hypotheses, the authors conducted an experiment using a 2 × 2 × 2 factorial design for each conflict type comprising two levels (low vs high).FindingsThe results of this study found that conflicting opinions on product attributes can enhance potential customers' perceptions of informativeness and subsequent correct purchase decisions while conflicting ratings and the intensity of conflicting reviews can diminish potential customers' perceptions of informativeness. In addition, conflicting ratings negatively moderate the effect of conflicting attributes on perceived informativeness such that the positive effect of conflicting attributes on perceived informativeness will be less prominent when conflicting ratings are present (vs absent).Originality/valueWhile potential customers are browsing product descriptions, reviews and comments from other purchasers are also playing a role in influencing a potential customer's purchase decision. However, given the different experiences and temperaments of individuals, the subjective remarks and ratings of individuals are sometimes inconsistent or even conflicting, which can lead to confusion among potential customers. The authors categorize the positive or negative effects of the three conflicting reviews based on the two dimensions of ease of capture and product diagnosticity. The findings can help platforms optimize the display of product reviews to help potential customers make more accurate purchase decisions.

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Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach

et al. 2022

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The paper examines whether the structure of the risk factor disclosure in an IPO prospectus helps explain the cross-section of first-day returns in a sample of Chinese initial public offerings. This paper analyzes the semantics and content of risk disclosure based on an unsupervised machine learning algorithm. From both long-term and short-term perspectives, this paper explores how the information effect and risk effect of risk disclosure play their respective roles. The results show that risk disclosure has a stronger risk effect at the semantic novelty level and a more substantial information effect at the risk content level. A novel aspect of the paper lies in the use of text analysis (semantic novelty and content richness) to characterize the structure of the risk factor disclosure. The study shows that initial IPO returns negatively correlate with semantic novelty and content richness. We show the interaction between risk effect and information effect on risk disclosure under the nature of the same stock plate. When enterprise information transparency is low, the impact of semantic novelty and content richness on the IPO market is respectively enhanced.

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Comparative Reviews vs. Regular Consumer Reviews

Cited by 7 publications

References 51 publications

What are the significant determinants of helpfulness of online review? An exploration across product-types

What are the significant determinants of helpfulness of online review? An exploration across product-types

The differential effect of three types of conflicting online reviews on perceived informativeness

Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach

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