A Comparative Analysis of Social Commerce and Open Market Using User Reviews in Korean Mobile Commerce

Chae, Seung Hoon; Lim, Jay Ick; Kang, Juyoung

doi:10.13088/jiis.2015.21.4.053

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…소셜커머스(social commerce)는 전자상거래의 일종으 로 소셜미디어(social media)와 e-커머스(e-commerce)가 합쳐져서 만들어진 용어로 소셜 쇼핑(social shopping)이 라고도 불리운다 (Wang & Kwon, 2012 Wang & Kwon, 2012 (Hong & Lee, 2015;Kim, 2013;Kim & Chung, 2015;Lee, 2013;Lee, 2014;Lee, Chung, & Jeun, 2012;Woo & Hwang, 2013), 충동구매와 충성도에 영향을 미치는 변인 연 구 Chen, 2012;Lee & Shin, 2013), 소셜 커머스와 오픈 마켓의 이용 경험을 비교, 분석한 연 구가 있고 (Chae, Lim, & Kang, 2015)…”

Section: Introductionunclassified

Study of the influential factors of repurchase intention and word-of-mouth intention of men in their 20's and 30's in social commerce - Focused on social commerce characteristics and consumers' personal characteristics -

Shin¹

2017

The Research Journal of the Costume Culture

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Social commerce is a kind of internet shopping mall in which consumers purchase the products with other consumers through mutual interactions including the development of SNS(social network service). Social commerce has expanded rapidly as a mainstream online shopping mall over the past five years driving consumers to purchase more fashion products providing the cheaper prices than open market internet shopping mall. The purpose of this study is to identify the important parameters of social commerce characteristics and consumer characteristics that affect repurchase intention and wordof-mouth intention. A 221 survey questionnaire was distributed to men in their 20's and 30's who live in Seoul metropolitan area. The data were analyzed utilizing Cronbach's ⍺, factor analysis, and regression analysis using the SPSS 18.0 program. The results revealed, first, that in terms of social commerce characteristics, three variables(website reputation, interactivity, and product scarcity) influenced repurchase intention. Among them, website reputation identified as the most important factor influencing repurchase intention and word-of-mouth intention. Second, with regard to consumer characteristics, interest and a tendency toward impulse buying affected the repurchase intention, and interest and internet shopping experience have influenced the word-of-mouth intention. Among three variables interest in social commerce identified as the key factor affecting both repurchase intention and word-of-mouth intention. The results of the study provide the practical implications and suggest the business strategies to enhance social commerce in the future by identifying the key social commerce characteristics and consumer characteristics that influence male consumers' buying behaviors.

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Section: Introductionunclassified

Study of the influential factors of repurchase intention and word-of-mouth intention of men in their 20's and 30's in social commerce - Focused on social commerce characteristics and consumers' personal characteristics -

Shin¹

2017

The Research Journal of the Costume Culture

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“…Particularly, the open market and Social commerce take up 70 percent of transaction share in Korea mobile commerce. Specifically, three-quarter of sales share in Social commerce is purchased via mobile [6]. Social commerce is a new trend of the transactional method, it was made to commercially use the online platform, SNS.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Factors Influencing Food Purchasing Behavior of Consumers In Mobile Shopping Malls : Focusing on the Comparison of Three Types of Mobile Shopping Malls

Eom¹,

Moon²,

Lee³

2016

International Journal of Contents

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This study focuses on finding ways to stimulate the growth of agricultural sectors in m-businesses, by analyzing and comparing the factors that influence the purchasing behavior of consumers in the open market, social commerce, and integrated shopping malls. Consumers at various mobile shopping malls answered a survey. Among the nine factors considered, one important factor was the frequency of purchasing agrifoods. Regression analysis produced three results. First, in the open market, in addition to various other advantages, the brand image, reasonable pricing, simple payment system, and convenience of using an app were important factors that influenced the purchasing behavior of the individual consumer. Second, in social commerce, the major factors influencing purchase were the reasonable pricing, quick delivery service, and convenience of using an app. Third, in integrated shopping malls, the brand image, guaranteed after-sale service, the variety of products, quick delivery service, and convenience of using an app were the significant factors.

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“…With the ubiquitous nature of e-WOM these days, more and more online retailers rely on the influencing power of customer product reviews to improve and assist the online shopping experience (Chae et al, 2015;Choi and Lee, 2011;Chun and Ahn, 2015). E-commerce companies like Amazon.com and Yelp.com use online customer reviews to provide quality information to consumers and feedback to their affiliates and partners.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Sentiment and Readability on Useful Votes for Customer Reviews with Count Type Review Usefulness Index

Cruz

Lee

2016

Journal of Intelligence and Information Systems

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Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author.The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible.The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor re...

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A Comparative Analysis of Social Commerce and Open Market Using User Reviews in Korean Mobile Commerce

Cited by 5 publications

References 26 publications

Study of the influential factors of repurchase intention and word-of-mouth intention of men in their 20's and 30's in social commerce - Focused on social commerce characteristics and consumers' personal characteristics -

Study of the influential factors of repurchase intention and word-of-mouth intention of men in their 20's and 30's in social commerce - Focused on social commerce characteristics and consumers' personal characteristics -

Analysis of Factors Influencing Food Purchasing Behavior of Consumers In Mobile Shopping Malls : Focusing on the Comparison of Three Types of Mobile Shopping Malls

The Effects of Sentiment and Readability on Useful Votes for Customer Reviews with Count Type Review Usefulness Index

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