• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.339-347
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• 2021

In this study, the study model and hypotheses were established by theoretical review to understand the impacts of servicescapes on relational benefits and revisit intention in the subjects of users in the franchise coffee shops. Based on the previous studies, the servicescape was classified with three elements including facility attractiveness, service attractiveness, and cleanness, and the analysis results are as follows. First, facility attractiveness(H1-1) and service attractiveness(H1-2) among servicescapes of coffee shops showed the significant impact on relational benefits, adopting Hypothesis 1-1 and H 1-2. On the other hand, cleanness among the servicescapes did not show any impact on relational benefits. Second, hypothesis 2 that relational benefits will significantly affect the revisit intention, positively was adopted. This means revisit potential will be enhanced more as the workers generate the comfort with special services and informal conversation more. It implicates that trust on the shops, psychological comfort, and consideration to the customers are important factors to induce their revisit. Finally, facility attractiveness and service attractiveness among servicescapes showed to affect he revisit intention significantly, while cleanness did not show that, partially adopting hypothesis 3.

• International Area Studies Review
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• v.22 no.1
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• pp.101-121
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• 2018

This paper studies the influence of multinational R&D Labs' expansion motives on their business performance and the mediating effect of the level of control on this motive-performance relationship. Through an in-depth study of the relevant literature, the expansion motives can be divided into four general types. The first is called a market factor in the sense that the purpose of their expansion is to secure potential markets and customers in China. The second is called a resource factor; their purpose is to obtain excellent technology and a workforce from the country. The third is called an institution factor. An example is the case of R&D Labs advancing into China to make the best of its institutional advantages such as the government's benefits, related policies, and incentive articles. The last is called a strategic factor and indicates the case where they go into China for the purpose of competing in the market, considering it as a major strategic place. The companies' control level on their R&D Labs was measured for each item. According to the empirical analysis on the relevance of their control level and expansion motives, it turns out that giving a free hand to the Labs which pursue market, institutional, and strategic factors is more desirable than highly controlling them. This is because they should be familiar with the local business environment in consideration of those companies' objectives. In light of the mediating effects of the control level on expansion motives and business performance, the R&D Labs pursuing resource factors seem to need their headquarters' control to make the best use of the high-end technology obtained in the country. The companies pursuing strategic factors seem to hold a dominant position and perform more competitively when their headquarters control the Labs more tightly.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.9-15
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• 2019

Large global online shopping malls, such as Amazon, offer services in English or in the language of a country when their products are sold. Since many customers purchase products based on the product reviews, the shopping malls actively utilize the sentimental analysis technique in judging preference of each product using the large amount of review data that the customer has written. And the result of such analysis can be used for the marketing to look the potential shoppers. However, it is difficult to apply this English-based semantic analysis system to different languages used around the world. In this study, more than 500,000 data from Amazon fine food reviews was used for training a deep learning based system. First, sentiment analysis evaluation experiments were carried out with three models of English test data. Secondly, the same data was translated into seven languages (Korean, Japanese, Chinese, Vietnamese, French, German and English) and then the similar experiments were done. The result suggests that although the accuracy of the sentimental analysis was 2.77% lower than the average of the seven countries (91.59%) compared to the English (94.35%), it is believed that the results of the experiment can be used for practical applications.

• Journal of the Korean Applied Science and Technology
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• v.36 no.1
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• pp.90-101
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• 2019

The study wanted to compare the use status of general beauty salons and men's hair salons for male customers managed by male practitioners and to check the impact of service quality awareness on satisfaction and loyalty. A total of 405 people were used as analysis materials. Principle Component Analysis was used to verify the reliability and validity of the measurement tool. Sub-factors of service quality recognition have derived expertise, affinity, reliability and persistence. The validity and reliability of satisfaction and loyalty were verified. Based on the results of this study, the differences in hair involvement in general beauty salons and men's specialty salons, service quality awareness, satisfaction and loyalty were identified. The relationship between professionalism, affinity, reliability, persistence by sub-factor of service quality awareness has been identified with satisfaction, loyalty and statistically significant positive (+). In addition, male professional beauty salons had positive effects on service quality awareness of satisfaction and loyalty. Service quality satisfaction has been confirmed to have a positive impact on loyalty. In this study, the beauty of the men through the significant marketing potential use as basic data on the market feed that the portraits.

• Knowledge Management Research
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• v.22 no.1
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• pp.243-267
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• 2021

Sentiment represents one's own state through the process of change to stimulus, and emotion represents a simple psychological state felt for a certain phenomenon. These two terms tend to be used interchangeably, but their meaning and usage are different. In this study, we try to find out how it affects the helpfulness of reviews by classifying sentiment and emotion through online reviews written by online consumers after purchasing and using various products and services. Recently, online reviews have become a very important factor for businesses and consumers. Helpful reviews play a key role in the decision-making process of potential customers and can be assessed through review helpfulness. The helpfulness of reviews is becoming increasingly important in practice as it is utilized in marketing strategies in business as well as in purchasing decision-making issues of consumers. And academically, the importance of research to find the factors influencing the helpfulness of reviews is growing. In this study, Yelp.com secured reviews on restaurants and conducted a study on how the sentiment and emotion of online reviews affect the helpfulness of reviews. Based on the prior research, a research model including sentiment and emotions for online reviews was built, and text mining analyzes how the sentiment and emotion of online reviews affect the helpfulness of online reviews, and the difference in the effects on emotions It was verified. The results showed that negative sentiment and emotion had a greater effect on review helpfulness, which was consistent with the negative bias theory.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.27-41
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• 2020

The purpose of the project is to identify the relationship between the sub-factors of SNS information characteristics (information quality, information reliability) and the impact of immersion on social capital (connected capital) on word of mouth intention, and to present measures to revitalize the tourism industry using the results obtained. The study conducted empirical analysis on 326 adults aged 19 and older. The results of the study are as follows: First, it has been confirmed that the sub-factors of SNS utilization (information quality, information reliability) have a positive effect on immersion. Second, immersion has been verified to have a significant influence relationship on the degree of word of mouth intention. Third, it was analyzed that social capital has positive interrelationships with immersion and word of mouth intention. Based on these findings, social network services (SNS) in the tourism industry can be used as basic data to attract potential tourism customers in the future by providing efficient information on tourism products by utilizing social network services (SNS) in the development of tourism contents and marketing strategies, and it is meaningful in that it is intended to help the tourism industry in practice.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.351-361
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• 2019

The objective of this article is to identify an alternative strategy for brand marketing through a case study of the Korean boy band BTS, which has recently seen a huge success in the global music scene. BTS has actively used transmedia storytelling as a tool to survive in the competitive music market. Transmedia storytelling refers to stories that are expanded across different media platforms, engaging audiences to explore from one medium to another to undergo multiple experiences. It gives audiences various ways of enjoying cultural content and participating in cultural content production through numerous media outlets. BTS has established and spread its fictional universe through albums, music videos, short films and webtoons, and has launched diverse projects where fans actively share, create, and play with their content. By inviting fans to actively participate in and interact with the BTS universe spreading through multiple media platforms, BTS can keep its fans engaged and energized. These activities have generated an emotional bond between BTS and their fans, which further leads to a worldwide fandom, based not on a producer-customer relationship but on mutual trust. The BTS case demonstrates the potential of transmedia storytelling as a useful benchmark to provide a positive brand experience for customers, which eventually enhances brand attachment and brand loyalty.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.61-68
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• 2023

As global growth has gradually declined, the Customer to Customer (C2C) market has expanded. And the growth potential of the C2C market is getting higher than in the past. Therefore, in this study, we examined what factors affect the price of used products within the C2C market. In order to examine the factors, we used data provided by Kaggle, which is a data science platform, and Mercari, Japan's largest C2C community marketplace platform. In research methods, the characteristics of the products were selected such as product categories, product status, shipping costs, product brands, and the data were analyzed using a linear mixing model to predict the price of C2C used goods. As a result, the variable that most affected the price was the shipping cost. When the seller paid for the shipping cost, the price would drop more than if the buyer had to pay. This study has been shown that the shipping costs is also an important factor in the used market, which can provide practical implications for customers of real transactions.

• Asia Marketing Journal
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• v.6 no.3
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• pp.143-156
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• 2004

This case intorduced E-mart's business philosophy and vision, analyzed E-mart's outline of marketing strategy, and discussed its performance and future task. E-mart took the role of market pioneer by developing discount store market in Korea. It's mission was to provide substantial benefits to the customers by selling quality products at the lowest price in the market. For this purpose, E-mart has conducted a slogan of 'everyday low price discount store-E-mart'. Objective of E-mart's brand strategy was to be No. 1 discount store in Korea or to be a representative brand in the discount store market. To achieve this objective, E-mart has conducted various efforts such as construction of national network, realization of the lowest price, formation of the most reliable discount store image, establishment of competitive edge and so on. E-mart settled a new model for discount store in Korea and took the lead in expanding market potential. With these efforts, E-mart has maintained secure position as a leading company in the discount store market.

• Information Systems Review
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• v.24 no.1
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• pp.1-19
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• 2022

Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.