• 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.

• The Korean Journal of Franchise Management
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• v.8 no.1
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• pp.43-53
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• 2017

Purpose - The coffee market in Korea has been dramatically developed and coffee chains dominate the Korean coffee market recently. Customer's perceived value is one of the marketing tools to get competitive advantages of coffee chains, and plays a critical role to study on coffee franchise industry. Thus, this study is to identify the effect of customer's perceived value (price, brand, service, and quality) on revisit intentions and word-of-mouth(WOM). Research design, data. and methodology - Customer's perceived values consists of four dimensions. 253 samples of 320 were used for data analyses excluding unusable responses. The data were analyzed with SPSS 21.0 and SmartPLS 3.0. Result - First, customer's perceived brand value and service value have a significant, positive effect on revisit intentions. Second, Price value and brand value have a positive influence on WOM. Third, gender difference plays a moderating role in the relationship between brand value and price value and WOM, and between brand value and revisit intentions. Conclusions - Males tend to focus more on their perceived brand value of coffee shops for revisit and recommendation, otherwise females consider price value to give an advice to others. Based on the results of this study, the marketers of coffee chains can develop effective strategies regarding gender difference as well.

• Journal of Distribution Science
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• v.15 no.2
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• pp.69-78
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• 2017

Purpose - As recently social contributions of firms are positioned as key strategic actions, it is demanding to review the effects of social contributions on overall corporate management. The research aims to effects of social contributions on social values and word of mouth in firm level and product level. Further roles of consumer identification with firm and product eco-friendliness are also analyzed. Research design, data, and methodology - The paper conducted a survey in which two scenarios are used for manipulating the degree of corporate social contributions. The survey sample consist of 165 undergraduate and graduate students in a university, located in Seoul. For analyzing data, analysis of variance is applied, in conjunction with analysis of moderating effects, through version 23 of SPSS statistical package. Results - In the firm level, social contributions by firms have a positive effect on social values of firms. Consumer identification showed a moderating role in the effect. Social value of the firm with passive social contribution perceived by respondents with a high degree of identification was higher than social value of the firm with active social contribution perceived by respondents with a low degree of identification. Corporate social value has positive effect on word-of-mouth of firms. In the product level, social contributions by firms has a positive effect on social values of product. Product eco-friendliness showed a moderating role in the effect. For eco-friendly product, social values are higher in the firm with active social contributions than in the firm with passive social contributions. However, for non eco-friendly product, the difference in social values between the two firms does not exist. Product social values has positive effect on intention for WOM of products. WOM of eco-friendly products with low social value showed no difference with WOM of non eco-friendly products with high social value. Conclusions - These results imply that firms should enhance consumer identification with firm in making social contributions for optimizing corporate social value and enhancing word-of-mouth(WOM). Managerial implications of the results suggest it would be more effective to improve social value of product by active social contributions for increasing word-of-mouth(WOM) of product.

• Korea Journal of Hospital Management
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• v.27 no.3
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• pp.1-14
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• 2022

Purposes: This purpose of this study was to check how much the online word of mouth influences on customer's hospital selection according to Kano's model. Methodology: Kano classified the attributes that affect customer's satisfaction into attractive, one-dimensional, indifferent, must-be, and reverse attributes. Among them, attractive and one-dimensional attributes make up the largest portion in hospital selection. Based on this, the influence of positive or negative online reviews on the selection of hospitals was investigated. Differentiated service was selected as the attractive attributes, and a kind, sufficient explanation was selected as the one-dimensional attributes. Then a questionnaire was conducted how much the positive or negative online reviews influence on hospital selection, respectively. It was conducted from August 7 to September 7, 2021 for medical consumers in their 20s and older who have used medical services for the past 3 years, and the final 142 questionnaires were analyzed. All data was analyzed by chi-square and two-way ANOVA using SPSS ver 25.0. Findings: The results showed that, in one-dimensional attributes, the difference between positive and negative reviews was not statistically significant, but in attractive attributes, positive and negative reviews showed a statistically significant difference. It suggests that positive reviews on attractive attributes had a greater influence on hospital selection. In terms of hospital selection, when the experimental participants were exposed to the positive reviews, the hospital selection ratio did not differ by Kano's attributes, but to the negative reviews it differed. The hospital selection ratio, even after they were exposed to negative reviews, was higher in the attractive attributes than in the one-dimensional attributes. Practical Implication: This study confirmed that hospital selection is influenced differently depending on the Kano's attributes and the direction of the reviews, and suggests that marketers should respond differently to each Kano's attributes when they deal with online reviews of hospitals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.4090-4102
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• 2018

After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.301-311
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• 2011

This paper is aimed at providing fundamental data for marketing strategies needed to determine the direction of policy to operate hospitals in an effective way. From the analysis, it was found that: first, expectation toward hospitality of the staff, facilities, environment and administrative service of hospitals for the elderly exercises significantly positive(+) effects on satisfaction of patients; second, trust in and satisfaction with administrative service of hospitals for the elderly exerts significantly positive(+) effects on the intent of patients for revisit and information by word of mouth; and third, the intent for revisit influences positively the intent for information by word of mouth significantly. It is therefore needed to try to understand the motives and tendencies of the elderly in selecting hospitals, to promote their satisfaction and to cultivate the spirit for patient-oriented service. Furthermore, efforts should be made to gain trust of medical staff, effects of medical treatment as well as medical equipment in addition to laborious endeavors to work out marketing strategies backed up by price competitiveness of paradigm.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.229-239
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• 2023

This study aims to explore the impact of algorithmic price discrimination on negative word-of-mouth (NWOM) through the lens of attribution theory. It also examines the mediating roles of intentional attributions and negative emotions, as well as the moderating effect of price sensitivity. For this study, 772 consumers who had purchased flight tickets completed a questionnaire survey, and the collected data were analyzed and tested using SPSS 27.0 and AMOS 24.0 software. The research findings reveal that algorithmic price discrimination has a significant positive impact on intentional attributions, negative emotions, and NWOM. Specifically, deliberate attributions and negative emotions mediate the relationship between algorithmic price discrimination and NWOM, while price sensitivity positively moderates the relationship between negative emotions and NWOM. Therefore, companies should consider disclosing algorithm details transparently in their marketing strategies to mitigate consumers' negative emotions and implement targeted strategies for consumers with different levels of price sensitivity to enhance positive word-of-mouth.

• International Area Studies Review
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• v.15 no.2
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• pp.225-245
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• 2011

This study investigates the effects of justice dimensions on negative emotion, consumer satisfaction after service recovery, repurchase intention and word-of-mouth intention in a context of service recovery. Behavioral intentions(repurchase intention and word-of-mouth intention) are critical to the discount store sellers' survival and success. The research model is an extension of previous studies, especially considering more recent developments in the service recovery literature. A survey using 458 customers in China was conducted, confirmatory factor analysis was conducted to test the validity of the measurement model, and AMOS analysis approach was used to gain important insights into how customer retention in the discount store business can be ensured. The results suggest that all three dimensions of justice had negative effects on negative emotion, had positive effects on satisfaction after service recovery. Negative emotion had negative effects on recovery satisfaction. Recovery satisfaction had positive effects on repurchase intention and word-of-mouth intention. Finally, this study suggests the implications of these findings and offers directions for future research.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.114-131
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• 2022

The goal of this study is to examine the impact of time perspective and life satisfaction of government and public institution employees on organizational SNS attitude and word-of-mouth effect. A total of 136 incumbent employees participated in this online survey. It was found that past-positive, present-hedonistic, and future time perspective positively affected life satisfaction and the organizational SNS attitude. Meanwhile past-negative time perspective negatively affected life satisfaction only, present-fatalistic time perspective did not negatively affect life satisfaction and organizational SNS attitude. Finally, life satisfaction showed a positive impact on word-of-mouth effect via organizational SNS attitude. By identifying psychological underpinnings of time perspective and life satisfaction, this study will provide theoretical and practical implications regarding internal communication and the effective management of government and public institution-operated SNS.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.128-142
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• 2009

Since fairness issue has been found to be important in many different business contexts such as marketing, organizational psychology and management in general. The purpose of this exploratory study was to identify the factor structure of fairness and its effects on customer satisfaction and word-of-mouth. In this survey, we collected data from the respondents who have experienced online shopping from 61 online shopping companies. The data were analyzed by structural equation model using LISREL 8.5. The results indicated that fairness has a four-factor structure, which is composed of distributive, procedural, interpersonal, and informational fairness, which is different from three-factor structure. In addition, perceived justice as a second-order construct were found to have a positive effect on customer satisfaction and word-of-mouth intention. The study suggests that online shopping mall should increase customer satisfaction and positive word-of-mouth by enhancing multiple aspects related to fairness.