Consumer skepticism and online reviews: An Elaboration Likelihood Model perspective

Sher, Peter J.; Lee, Sheng-Hsien

doi:10.2224/sbp.2009.37.1.137

Cited by 202 publications

(149 citation statements)

References 9 publications

(13 reference statements)

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“…Consistent with social learning theory (Cheung & Thadani, 2012;Kulmala, 2011;Mudambi & Schuff, 2010;Rabjohn, Cheung, & Lee, 2008;Sher & Lee, 2009), this research asserts online social interactions bring benefits to consumers, as they can learn about products and services, which may relieve their perceived risks during online shopping. However, impediments of social learning, concerns with doubt of credibility of learning, can also be raised through interacting with others because online communications suffer from a lack of face-to-face experience with unknown individuals.…”

Section: Concerns When Interactive With Others Onlinesupporting

confidence: 64%

“…However, impediments of social learning, concerns with doubt of credibility of learning, can also be raised through interacting with others because online communications suffer from a lack of face-to-face experience with unknown individuals. Thus, online reviews may be less trustworthy than traditional face-to-face, word-of-mouth messages (Cheung & Thadani, 2012;Sher & Lee, 2009). Specifically, consumers with a higher tendency towards disbelief of online information are less likely to be influenced by online reviews (Sher & Lee, 2009).…”

Section: Concerns When Interactive With Others Onlinementioning

confidence: 99%

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Millennials' Online Apparel Purchase Decisions through Social Interactions

Son¹,

Sun²,

Hughes³

2017

Fashion, Industry and Education

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The purpose of this research is to explore how Millennials mitigate perceived risks that occur during online apparel purchasing decisions through social interactions based on social learning theory. Also, this research investigates concerns generated from interactions with others when consuming apparel online. An exploratory investigation was undertaken with 78 undergraduate students using an online survey that included open and closed questions. Qualitative data revealed positive relationships between consumers' social interactions and purchases of apparel products online. Specifically, information searches through social interactions with trusted individuals utilizing online channels were found to validate purchasing decisions and alleviate perceived risks with purchasing apparel products online. However, consumers were also concerned with certain interactions due to the lack of credibility regarding reviewers, channels, and conflicting information. These findings provide an insight into millennial consumers' learning processes through consumerto-consumer interactions in social media environments for apparel purchases. As online and mobile shopping along with consumers' social media usage for interacting continue to increase, these research findings guide retailers how to turn their attention to investing and utilizing these channels to enhance millennial consumers' positive purchasing experiences online.

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Section: Concerns When Interactive With Others Onlinesupporting

confidence: 64%

Section: Concerns When Interactive With Others Onlinementioning

confidence: 99%

Millennials' Online Apparel Purchase Decisions through Social Interactions

Son¹,

Sun²,

Hughes³

2017

Fashion, Industry and Education

View full text Add to dashboard Cite

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“…Under low involvement, the effect of proportion of high-quality negative reviews is the same as that of low-quality negative reviews . Finally, as for personality, online shoppers with high skepticism were not influenced by the argument quality of online reviews, and those with low skepticism were influenced more by argument quantity than by the quality of online reviews (Sher & Sheng-Hsien, 2009). …”

Section: Product Judgmentmentioning

confidence: 89%

A Review for the Influential Factors in E-WOM Research

Yang¹,

Sarathy²,

Feng³

2015

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Although substantial literature is available on customer reviews or e-WOM (electronic word of mouth), the topic is still under development and offers potential opportunities for further research. Since the topic is still at the stage of development, a review of the literature on customer reviews with the objective of summarizing existing findings will initial further studies on the growth of e-WOM technologies. This paper reviews the literature on e-WOM using a suitable classification scheme to identify the gap between theory and practice. Aiming to provide useful insights into the anatomy of e-WOM literature and be a good source for anyone who is interested in e-WOM, nine categories of findings are ultimately presented based on dependent-independent-variable relationship, along with a comprehensive list of reference. The paper ends up with discussions on future directions for research.

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“…P. J. Sher and S. Lee, (2009) in their research paper suggest online review systems have been suggested to be one of the most influential communication channels because online consumers can obtain information related to products and retailers. J.…”

Section: Review Of Literaturementioning

confidence: 99%

A study on parameters of online reviews content that influence consumers buying behaviour- an Indian perspective

devedi¹,

Sujatha²,

Pathak³

2017

JBRMR

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The 21 The present study tries to fill the gap in the literature relating online product or service reviews in influencing the consumer buying behaviour. The objective of the study is to understand the parameters of review content on which consumer check online reviews before buying a product or service. To achieve the research objectives of the present study, a descriptive research design is used with primary data collection methodology through a structured questionnaire. The sample size for the study is 104. The analysis was conducted through mean, one sample t-test and correlations. The study identified that consumers view online reviews such as understanding quality of the product, product usage information, cost benefit of the product, information relevant to deals or discounts, and product information on warranty or guarantee or replacement details, Brand reputation among reviewers, Sales service availability for deciding to buy. It was observed that parameters of online review content influence the consumer's decision to buy.

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Consumer skepticism and online reviews: An Elaboration Likelihood Model perspective

Cited by 202 publications

References 9 publications

Millennials' Online Apparel Purchase Decisions through Social Interactions

Millennials' Online Apparel Purchase Decisions through Social Interactions

A Review for the Influential Factors in E-WOM Research

A study on parameters of online reviews content that influence consumers buying behaviour- an Indian perspective

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