• Journal of Korean Society for Quality Management
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• v.35 no.2
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• pp.63-83
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• 2007

As the mobile internet service market is rapidly growing, measuring and managing the service quality become a more critical issue to the service providers. Thus the purpose of this study is to compare SERVQUAL, SERVPERF, and non-difference score measures and to determine which one is superior to measure the service quality of the mobile internet service. This study also aims to analyze the structural relationship between the service quality, customer satisfaction and behavioral intentions (repurchase intention and word-of-mouth). For the purpose, survey data were gathered from the respondents who have used the mobile internet services and an empirical test was conducted. As the first research result, it was revealed that the non-difference score measure showed a much better model than other service measuring models (SERVQUAL, SERVPERF). And the second result was that two service quality factors (tangibles and empathy) among the mobile internet service quality factors significantly influenced the customer satisfaction and also the customer satisfaction had a significant effect on the repurchase and word-of-mouth.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.787-800
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• 2011

This study investigated service recovery justice perception, purchase satisfaction, positive word-of- mouth (WOM) intention, and repurchase intention of fashion consumers according to the types of internet shopping malls. A survey was conducted from December 20 in 2010 to January 28 in 2011, and 324 respondents who had complaint with internet shopping malls were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and multiple regression analysis. The results of this study were as follows. First, in case of integrated internet shopping malls, the procedure justice influenced the purchase satisfaction and the interaction justice influenced the positive WOM intention. In addition, the distribution justice influenced the repurchase intention of fashion consumers. In the case of an open market, the interaction justice influenced the purchase satisfaction and the distribution justice influenced the positive WOM intention. In case of specialized internet shopping malls, the distribution justice influenced the purchase satisfaction and the interaction justice influenced the repurchase intention. Second, there was a difference in the procedure justice, positive WOM intention, and repurchase intention according to gender.

• The Research Journal of the Costume Culture
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• v.25 no.1
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• pp.1-15
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• 2017

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 word-of-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 ${\alpha}$, 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.

• Culinary science and hospitality research
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• v.24 no.1
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• pp.151-163
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• 2018

Today, the development of internet brings many changes in formation exploration and acceptance. Not only the customers can come into contact much information about the firm and its product by quick and easy search, but also they produce information by themselves or can spread the information via the internet. Nowadays, customers are progressive information explorer and producer on online. In this sense, this study examined the effects of e-word-of-mouth information characteristics on the consumer's perceived usefulness and perceived acceptance of e-word-of-mouth information in the food service industry in order to suggest directions to enhances marketing strategies for marketer. The research model for this study was designed based on the hypothesis that the characteristics of e-word-of-mouth information and credibility of the information influenced both the user's perceived usefulness and acceptance. Based on total 277 customers obtained from the empirical research, this study reviewed validity, reliability and fitness of research model. The analysis results on these factors are as follow. First, the characteristics of e-word-of-mouth information; vividness, consensus, direction had an influence on the customer's perceived usefulness. Second, the characteristics of e-word-of-mouth information; vividness, consensus, direction had an influence on the customer's perceived acceptance. Third, the reliability of information had an influence on the customer's perceived usefulness and the credibility of e-word-of-mouth information perceived acceptance. Fourth, the customer's perceived usefulness had an influence on the customer's perceived acceptance.

• International Journal of Contents
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• v.8 no.3
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• pp.71-78
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• 2012

The emergence of the Internet has provided a new outlet for consumers who experience service failure from products and services, augmenting the traditional options of entry, voice and action. Consumers' negative word of mouth through online (word-of-mouse or eWOM) far exceeds traditional word of mouth (WOM) in respect of its potential effectiveness, speed and spread. This paper tries to figure out the service failure themes in the health care industry by analyzing online word-of-mouse using the critical incidents technique (CIT). Complaint themes in the area of healthcare are identified and analyzed. The results identify that major complaint theme differed according to the site type. Also, the findings indicate that delivery and customer services are critical issues when consumer makes negative WOM.

• The Journal of the Korea Contents Association
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• v.6 no.3
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• pp.75-84
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• 2006

The internet has the capabilities of supporting and facilitating several forms of consumer interaction including one-to-one, one to many, or many-to-many interactions. Especially, previous studies revealed that the Online Word-of-Mouth communication is widely used as a source of customer's information seeking and purchase decision making. Even with this importance of the Online Word-of-Mouth communication on internet, few research has systematically addressed the issue. This study investigates the effect of interpersonal communication on consumers' information search activities and develops a model that depicts the key antecedents and mediating variables of interpersonal communication in internet shopping environment. The results are as follows: First, choice uncertainty, perceived risk, and knowledge uncertainty play an important role for perceived usefulness. Second, perceived usefulness has directly affected interactive communication of consumers' communication style. Thus, it is essential for internet companies to find ways to encourage their customers to engage in word-of-mouth communication.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Fashion & Textile Research Journal
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• v.4 no.3
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• pp.235-242
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• 2002

The purpose of this study was to investigate the types of perceived risk of Internet shopping and the impact of perceived risk on purchasing behavioral intention of Internet shopping mall shoppers. A self-administrated questionnaire was e-mailed to INR research (www.inr.co.kr) panel who had purchasing experience of fashion product through Internet shopping mall. The perceived risk was reduced when the innovativeness increased and purchasing experience in Internet shopping mall increased. The financial risk had an effect on purchasing intention, and social/psychological risk had impact on revisiting intention and word-of-mouth intention negatively. The performance risk perception had significantly negative influence on word-of-mouth intention. Internet using time per week, purchasing experience and Internet innovativeness were positive impact on purchasing behavioral intention of Internet fashion product.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.117-126
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• 2016

This study focuses the importance of relation between information attributes and communication of internet user. The author is to clarify how to communicate in internet environment and word-of-mouth as a result of social influence among internet user take place in relation to information attributes. The main findings are that comprehensive ease, relevance and novelty among information attributes positively influence reciprocal communication, reciprocal communication positively influences internalization and conformity, and those positively influence word-of-mouth communication.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.47-60
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• 2005

Well-known e-CRM strategy is to focus on profitable customers and pay less attention to unprofitable ones. Moreover, some researchers recommend not serving unprofitable ones any more. However, it often neglects customers indirect value. Deselecting unprofitable customers can raise the issue of bad word-of-mouth publicity especially in the age of the Internet. Some studies pointed out that a customers decision to buy a product or service is often strongly influenced by others. In this paper, we consider customers' word-of-mouth effect on quality learning of inexperienced customers. We show that firms implementing e-CRM must take the effect into the consideration when deselecting unprofitable customers.