• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.119-126
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• 2018

The purpose of this study is to understand the important factor of internet travel product purchase according to the characteristics of SNS tourism information. The characteristics of SNS tourism information perceived by travel product consumers are investigated as four major dimensions; reliability, interest, interaction, and usefulness. 17 items of online travel product purchase are adopted and produced four factors namely; safety, price & cost, customer service and convenience. We confirm that consumer have high importance on reliability consider convenience as most important factor of online travel product purchase. Interest of SNS tourism information have significant relation with price & cost, and Usefulness and Interaction of SNS tourism information have significant relation with customer service of online travel product purchase.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.787-797
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• 2023

The use of service robots, particularly guide robots, is becoming increasingly prevalent in public institutions. However, there has been limited research into the interactions between users and guide robots. To explore the customer experience with the guidance robot, we selected 'QI', which has been meeting customers for the longest time, and collected all reviews since the service was launched in public institutions. By using text mining techniques, we identified the main keywords and user experience factors and examined factors that hinder user experience. As a result, the guide robot's functionality, appearance, interaction methods, and role as a cultural commentator and helper were key factors that influenced the user experience. After identifying hindrance factors, we suggested solutions such as improved interaction design, multimodal interface service design, and content development. This study contributes to the understanding of user experience with guide robots and provides practical suggestions for improvement.

• Asia Marketing Journal
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• v.25 no.3
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• pp.99-110
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• 2023

Chatbot services have become an essential communication tool for interacting with consumers in e-commerce. To understand consumer behavior in the context of chatbot services, we apply the Theory of Planned Behavior (TPB) to analyze continuance intention to use and additional predictors to explain behavioral intention. An analysis of data collected from 300 digital shopping users who had experienced chatbot services revealed that an extended TPB model holds for the continuous use of chatbot services, driven by both interaction and information quality. Accordingly, these ndings provide a better understanding of consumer behavior toward chatbot services and valuable insights into digital customer relationship management.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.82-98
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• 2023

This study investigates consumers' perceptions when customers participate in the process of innovating new products or new services essential to companies in the era of the 4th industrial revolution. Specifically, this study investigates how consumers' product evaluation varies depending on two types of innovation for a company's new product development (technology-based innovation and market-based innovation) and two customer roles (as information providers and as co-developers) participated in the development process. The research questions are as follows: As technology-based innovation and market-based innovation are different types of innovations, will consumers' product evaluation vary depending on these different types of innovation? If customers participate in the development process of a new product reflecting each innovation, how will the information that the customer participated be perceived by other consumers? In addition, this customer participation method can serve as an information provider and a co-developer, and will consumers' evaluation of new products vary depending on this role? As a result of verifying the hypothesis using an experimental method, it shows that consumers' product evaluation differs significantly depending on the role of customers who participated in the process of developing new product development process. In other words, the results indicate that the case where customers participated as market information providers in the process of developing new products is more favorable to the new product evaluation than the case where they participated as co-developers of the new products. In addition, there is an interaction effect between the type of product innovation and the role of customer participation. To be specific, when a product reflecting technological innovation is released, there is no difference in consumers' product evaluation according to the roles of two different customer participations. However, when a market-based innovation product is released, product evaluation is more favorably perceived when customers participated as information providers than they were involved in the new product development process as co-developers. This study is of theoretical significance in that it distinguishes each type of innovation and verified how other consumers' perceptions vary depending on their role when customers participate in the innovation process. Finally, limitations and future study directions are suggested along with practical implications.

• Journal of Service Research and Studies
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• v.10 no.2
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• pp.1-15
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• 2020

As big data become more important socially and economically in recent years, many problems have been derived from the indiscriminate application of big data. Big data are valuable because it can figure out the meaning of informative information hidden within the data. In particular, to predict customer behavior patterns and experiences, structured data that were extracted from Customer Relationship Management (CRM) or unstructured data that were extracted from Social Network Service(SNS) can be defined as a population to interpret the data, during which many errors can occur. However, those errors are usually overlooked. In addition to data analysis techniques, some data, which should be considered in the analysis, are not included in the population and thus do not show any meaningful patterns. Therefore, this study presents the measurement and interpretation of the data generated when the cause of error in the population setting is strong relationship and interaction between people or a person and an object. In other words, it will be shown that if the relationship and interaction are strong, it is important to include data collected from the perspective of user experience and ethnography in the population by comparing various cases of big data application, through which the meaning will be derived and the best direction will be suggested.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.19-29
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• 2022

This study is a descriptive survey using a self-reported survey method to understand the effect of language and non-verbal communication of medical service providers on customer satisfaction through Lapport and to determine the degree of impact on Lapport by adjusting perceived service authenticity. The data collection period was from April 5 to April 30, 2021. Using the convenience sampling method, data were collected from users of medical institutions located in Busan and Gyeongsangnam-do, and a total of 306 valid questionnaires were used as statistical analysis data. The collected data were analyzed using the IBM SPSS statistics version 25.0 and AMOS 20.0 programs through a coding process. In the results of this study, it was found that the language and non-verbal communication of medical service providers influenced customer satisfaction through Lapport, and the perceived service authenticity in the relationship between each variable acts as a moderating effect. Considering that the language and non-verbal factors of the medical service provider are important in the interaction between the medical service provider and the hospital user, the medical service provider should take full account of the language and non-verbal factors and help the medical institution communicate with the hospital user.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.12 s.138
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• pp.1596-1604
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• 2004

Quality Function Deployment(QFD) is a product development tool which ensures that the voice of the customer needs is heard and translated into products. To develop a sensible brassiere for middle-aged women QFD was adopted. In this study the applicability and usefulness of QFD was examined through the engineering design process for a sensible brassiere for middle-aged women. The customer needs for the wear comfort of brassiere was made by one-on-one survey of 100 women who aged 30-40. The customer competitive assessment was generated by wearing tests of 10 commercial brassieres. The subjective assessment was conducted in the enviornmental chamber that was controlled at $28{\pm}1^{\circ}C,\;65{\pm}3\%RH.$ As a results, we developed twenty-one customer needs and corresponding HOWs for the wear comfort of brassiere. The Customer Competitive Assessment was generated by wearing tests of commercial brassiere. The subjective measurement scale and dimension for the evaluation of sensible brassiere were extracted from factor analysis. Four factors were fitting, aesthetic property, pressure sensation, displacement of brassiere due to movement. The most critical design parameter was wire-related property and second one was stretchability of main material of brassiere. Also, wearing comfort of brassiere was affected by the interaction of initial stretchability of wing and support of strap. Engineering design process, QFD was applicable to the development of technical and aesthetic brassieres.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.3
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• pp.1-26
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• 2011

As brand is increasingly important as a competitive source and information and communication technology based on Internet is rapidly advanced, many companies have paid attention to online brand community that is expected to help strengthen the customer's awareness on their products and services. This study suggests four factors-interaction, purpose, playfulness, reward-that facilitate online brand community commitment, and examines the effect of online brand community commitment on brand loyalty from the perspective of social identity theory. For this purpose, 243 sample data were collected from three online brand community sites and the proposed research model was empirically tested using LISREL 8.7 based on structural equation model. In conclusion, this study proposed theoretical and practical implications along with its limitations and future studies.

• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.73-91
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• 2012

This study is in the purpose for the revitalization of traditional market as comparing to the relevancy between the central characteristics of a floating population going around for buying something or eating food and lots of small-sized businesses comprising of the commercial districts. The several traditional markets such as Cheonan station, Dujeong-dong, Sinbu-dong in Cheon-An city has been investigated repeatedly almost every two or three years by the Small Enterprise development Agency(SEDA) since 2001. By analyzing the raw data of those commercial districts made by SEDA, we can calculate the number of firms andthe ratio of business type of each commercial districts. In this research, the type of each business is classified into four groups such as restaurant, service, retail and the rest. Moreover, the central character of the floating population is derived from the raw data, which means the customer information about sex, age structure or the most populous time zones. From these characteristics, one commercial districts has his own specific features distinguishing from the others. The most important differences of past researches are firstly the dynamic viewpoint rather than a static one. Secondly it suggests that the relation between the central characteristics of districts and the floating population would exist. Lastly, it suggests that the interaction between both of them have a significant effect on the growth or decline of the districts and the rates of business type, other adjacent commercial districts as well. Eventually, this study provides several meaningful points for the revitalization of commercial districts to government or stakeholder such as management organization, business owners and new starter etc.

• Knowledge Management Research
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• v.14 no.4
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• pp.87-98
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• 2013

Along with the recent development of Social Network Service (SNS), such as Facebook and Twitter, social commerce market is expanding rapidly. As much, understanding consumers' purchase intention in social commerce becomes important. This study attempted to investigate the factors of consumers' purchase intention, and the effects of these determinants(price discount, perceived risk and product review) on consumer's purchasing intension in social commerce networks. Also, the interaction effects between these factors on consumer's purchasing intension were studied. The results showed that the effect of perceived risk on consumer's purchase intention found to be significantly negative. The interaction effect between price discount and perceived risk, and the interaction effect between price discount and review were meaningful on consumers' purchase intention. It indicates that the important factor for consumers to purchase products in social commerce is not just price discount but perceived risk, and that review which consumers think is manipulated has negative effect on purchase intention.