• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.272-284
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• 2009

In this paper, we proposed the methodology for analyzing online customer reviews by using text mining technologies. We introduced marketing segmentation into the methodology because it would be efficient and effective to analyze the online customers by grouping them into similar online customers that might include similar opinions and experiences of the customers. That is, the methodology uses categorization and information extraction functions among text mining technologies, matched up with the concept of market segmentation. In particular, the methodology also uses cross-tabulations analysis function which is a kind of traditional statistics analysis functions to derive rigorous results of the analysis. In order to confirm the validity of the methodology, we actually analyzed online customer reviews related with tourism by using the methodology.

• Journal of Distribution Science
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• v.14 no.8
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• pp.67-75
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• 2016

Purpose - This paper aims to measure the overall satisfaction of online grocery shopping and identify the quality components of online grocery delivery service. Furthermore, we examine the relationship between service quality, customer loyalty, customer satisfaction and intention of repurchase. Research design, data, and methodology - To test hypotheses, data was collected using questionnaires from online grocery shopping customers living in Korean local regions (Daejeon, Cheonan, Sejong). Quantitative research is applied using confirmative factor analysis and multiple linear regressions. Results - On the whole, customers are satisfied with the online grocery shopping. We found that convenience and reliability of grocery delivery service have a positive effect on the customer loyalty and customer satisfaction. Furthermore, we found that customer satisfaction has a mediating effect between convenience, reliability and customer loyalty. However, responsiveness of grocery delivery service does not have a positive effect on the customer loyalty and customer satisfaction. Conclusions - Since the quality of groceries are very sensitive to time and difficult to standardize, we need to analyze the quality components of delivery service unlike other commodities and find relationships with customer satisfaction, customer loyalty and repurchase intention. The results of research will contribute to providing satisfactory service and capturing loyal customers in retail industry.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.269-281
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• 2015

The objective of this study is offering new on line business model for automotive market. In order for the research aim, we conduct direct in-depth interviews with CEO, including analysis of business patterns on eight automotive firms in Gwangju city. As a result, we suggest new business model so called, Online to offline (o2o) that combines advantages in both off-line and on-line business. Techniques that o2o automotive companies may employ include in-store pick up of items purchased online, allowing customers. Purchasing the automotive is not only a car but also services including insurance, warrant services. o2o business model suggested shows the operating of the goods and service sale. When it comes to characteristics of automotive conventional sale patterns, utilization of the online-to-offline commerce has not eliminated the advantages that e-commerce companies have. That model can enhance the new values for customers as well as new market creation. Also, this new business model (o2o) can contribute the emerging industry business model installed based in particular, emergence of Iot (Internet of thing) in terms of sharing knowledge and information between enterprise and customers.

• Journal of Fashion Business
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• v.19 no.6
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• pp.127-138
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• 2015

Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores' online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores' websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.

• The Korean Journal of Franchise Management
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• v.12 no.2
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• pp.7-21
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• 2021

Purpose: One of the characteristics of service companies such as foodservice franchise is that it is easy to imitate, so many brands can imitate the menu that is popular with consumers. Therefore, foodservice franchise company should develop a brand that customers can identify from other brands in order differentiate it from its competitors. In order make the foodservice franchise company identifiable from other brands, it is possible through communication with customers. Therefore, this study proposes a new research model to analyze customer loyalty through online advertising and online word of mouth trust and immersion. Online was provided to customers through a mixture of advertisements and word of mouth, but previous studies have only considered online advertisements or online word of mouth. In addition, we want to verify the difference according to gender, which is an important variable in researching the online information processing behavior of customers. Research design, data, and methodology: The questionnaire of this study was surveyed on 20 years of age or older who have visited the restaurant franchise store within the last 3 months among the foodservice franchise companies operating SNS. During the survey period, 400 surveys were surveyed for a total of 20 days from April 1 to April 20, 2020. Result: The research results are as follows. First, in this study, the effect of online advertisement and online word of mouth on trust and immersion was studied. Second, this study verified the social influence theory in online advertising and online word of mouth. Third, the effect of online advertising and online word of mouth on loyalty according to gender was verified. Fourth, compared to existing advertisements, online advertisements are suitable for marketing by foodservice franchise companies because they can interact with consumers, modify advertisements immediately, execute extensive advertisements at low cost, segment the market, and measure advertisement effectiveness. The recent online expansion has been expanded to mobile-based, allowing foodservice franchisees to provide new communication services such as SMS (Short Message Service), multimedia messaging services, and location-based services. Fifth, a foodservice franchise company can increase brand awareness through online marketing or induce the use of offline stores. Sixth, franchisor can grow into a sustainable company only when they use resources efficiently. Conclusions: Trust is important in foodservice franchise information. This trust has a significant impact on customer commitment and loyalty.

• The Journal of Information Systems
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• v.26 no.3
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• pp.295-312
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• 2017

Purpose Consumption behaviors of consumers have changed with the widespread use of the Internet and smart phones, and accordingly online marketing activities are becoming ever more prevalent. Yet, the domestic food-service industry has yet to offer an Omni-Channel order system that encompasses a online, offline, and mobile interface. Also, a multilingual menu ordering service for foreign tourists is not yet available. Therefore, if an order service system accessible online and offline which could provide multi-language services were implemented, the satisfaction of the service provider and domestic and foreign customers would be maximized. Design/methodology/approach By designing an electronic menu based on open an OS and providing electronic menus in offline stores, we have completed the design of a linked order system which would be available everywhere (online, offline, and mobile). The CMS was developed to integrate these three mediums and the entire operator was designed to receive basic information and statistical information about the merchants, or store operators. Also, a multilingual term dictionary containing menu information for foreign tourists was made into a database so that foreign tourists who are having difficulty in communication can use it more easily. Findings We have made it possible for customers to use the order service without distinction between online, offline, and mobile platforms, and have proved that it is a more efficient and convenient service for customers as well as operators. Nevertheless, as an initial model, the implemented system has limitations on the execution of the payment support method in the electronic menu board and in the management division of the CMS. In case of commercialization, it is necessary to make an alliance of efforts to attract initial franchises. Through further supplementation, we expect the online and offline connection-types martservice system will maximize the satisfaction of both operators and customers alike.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.390-397
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• 2011

This study investigates the influences of shopping enjoyment and risk reduction on customers' attitude and the behavioral intention in the Internet shopping mall using a moving virtual model. For this study, we produced a moving virtual model to present a fashion product. The virtual model walks for about one minute on the stage. After respondents viewed it, they completed a questionnaire. The questionnaire consists of online shopping enjoyment, risk reduction, customers' attitude and behavioral intention. Respondents are limited to females aged in their 20s and 30s, who have experienced Internet shopping and are highly interested in fashion products. 411 samples were used for the final analysis. Cronbach's alpha, factor analysis, and multiple regression analysis were conducted. The results are as follows. Online shopping enjoyment and risk reduction influenced the behavioral intention directly as well as through the attitude. However, the size of the influence indicated that online shopping enjoyment is larger than risk reduction. Therefore, Internet malls should utilize the moving virtual model to provide customers with enjoyment and risk reduction, which will increase customers' favorable attitudes and the behavioral intention such as purchase intention and word of mouth.

• Journal of Distribution Science
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• v.13 no.4
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• pp.45-53
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• 2015

Purpose - Online shopping enables consumers to conveniently purchase products irrespective of the time and place. As a result, several online shopping companies have emerged to cater to this growing market and, therefore, the competition among them has become increasingly intense. This paper evaluates the comparative efficiency of online shopping companies for a multi-year period (2009-2013), in order to help online shopping managers identify major drivers for enhancing management efficiency and the subsequent competitiveness. Research design, data, and methodology - The researchers collected the data from 2009 to 2013 from the distribution yearbook. This paper analyzes the marketability (sales figures), profitability (business profits), and management conditions (net profits) of domestic online shopping enterprises by incorporating information on human resources (number of employees) and material resources (total assets and capital). Therefore, the number of employees, total assets, and capital are selected as input variables, and sales figures, business profits, and net profits as the output variables. In this study, Data Envelopment Analysis (DEA) was used to measure the comparative efficiency of domestic online shopping companies. In addition, the Malmquist Productivity Index was used to evaluate the trend of change of Decision Making Units' (DMUs') efficiency for a multi-year period. Results - First, as of 2013, Interpark (2.415) was found to be the most efficient online shopping enterprise, followed by Aladdin Communications (2.117), Hyundai Home shopping (1.867), Home&Shopping (1.176), NS Home shopping (1.170), Commerce Planet (1.126), CJ O Shopping (1.105), Ebay Korea (1.088), and GS Home Shopping (1.051). Second, this study recognizes how the management efficiency has changed for the period 2009-2013. Third, the lesser the capital and employees, the more are the net profits, and the better is the management efficiency of domestic online shopping companies. Lastly, the productivity of such companies is influenced by endogenous factors rather than exogenous factors such as shifts in business environment and technological advances. Conclusions - DHC Korea influenced various distribution channels to reach customers through the Internet. Consequently, this helped in increasing the awareness about its products, in addition to an increase in sales. These achievements can be attributed to the characteristics of online shopping companies. Although it is easy for these companies to suggest goods for one-off purchases, they however have difficulties in retaining customers. Overcoming this challenge can be one of the ways to benchmark a successful case of an efficient company. For example, an online shopping company can attract customers by developing a corresponding mobile application as a convenient way to shop online. Additionally, they can satisfy customers by quick delivery of purchased products, which is possible by building an effective logistics network. Our study indicates that the productivity of an online shopping company was influenced by endogenous factors driven by improvements in managerial practices rather than exogenous factors. Accordingly, online shopping companies should adopt strategies to improve their operational efficiency rather than sales volume-oriented management.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.1-18
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• 2022

As digital technology converges into the e-commerce market across industries, online transactions have activated, and the use of online has increased. With the recent spread of infectious diseases such as COVID-19, this market flow is accelerating, and various product information can be provided to customers online. Providing a variety of information provides customers with various opportunities but causes difficulties in decision-making. The recommendation system can help customers to make a decision more effectively. However, the previous research on recommendation systems is limited to only quantitative data and does not reflect detailed factors of products and customers. In this study, we propose an intelligent recommendation system that quantifies the attributes of products and customers by applying text mining techniques to qualitative data based on online reviews and integrates the existing objective indicators of total star rating, sentiment, and emotion. The proposed integrated recommendation model showed superior performance to the overall rating-oriented recommendation model. It expects the new business value to be created through the recommendation result reflecting detailed factors of products and customers.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.129-139
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• 2019

The purpose of this research is to examine the effect of informational justice on post-recovery satisfaction, and the effect of post-recovery satisfaction on behavioral intentions in e-commerce, including further investigate the moderating effect of service failure severity. Using quantitative method, the population of this research are online customers in Indonesia, with non-probability sampling that will be done by purposive sampling method based on predetermined criterias, which are customers who were doing transactions in the Business to Consumer (B2C) online sites, experienced service failure in the last 6 months, submitted a complaint, and received a response. Sample of 317 online customers were gathered and analyzed using the Structural Equation Modeling. The results of this study indicated that 5 hypothesis are supported with data. As a conclusion, informational justice and post-recovery satisfaction has positive effect, while service failure severity acts as a moderator between post-recovery satisfaction and behavioral intentions. As a managerial implication, online store management needs to ensure the informational justice to make a post-recovery satisfaction. Therefore, online store management needs to ensure the informational justice to make a post-recovery satisfaction, increase repurchase and positive e-word of mouth intention, also work harder to recover services, especially in high service failure severity condition.