• Information Systems Review
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• v.25 no.2
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• pp.145-162
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• 2023

Asset management is a complex and difficult field that requires insight into numerous variables and even human psychology. Thus, it has traditionally been the domain of professionals, and these services have been expensive to obtain. Changes are taking place in these markets, and the driving force is the digital revolution, so-called the fourth industrial revolution. Among them, the Robo-Advisor service using artificial intelligence technology is the highlight. The reason is that it is possible to popularize investment advisory services with convenient accessibility and low cost. This study aims to clarify what factors are critically important when selecting robo-advisors for service users and providers in Korea, and what perception differences exist in the selection factors between user and provider groups. The framework of the study was based on the marketing mix 4C model, and the design and analysis of the model used Delphi survey and AHP. Through the study design, 4 main criteria and 15 sub-criteria were derived, and the findings of the study are as follows. First, the importance of the four main criteria was in the order of customer needs > customer convenience > customer cost > customer communication for both groups. Second, looking at the 15 sub-criteria, it was found that investment purpose coverage, investment propensity coverage, fee level and accessibility factors were the most important. Third, when comparing between groups, the user group found that the fee level and accessibility factors were the most important, and the provider group recognized the investment purpose coverage and investment propensity coverage factors as important. This study derived useful implications in practice. First, when designing for the spread of the robo-advisor service, the basis for constructing a user-oriented system was prepared by considering the priority of importance according to the weight difference between the four main criteria and the 15 sub-criteria. In addition, the difference in priority of each sub-criteria shown in the group comparison and the cause of the sub-criteria with large weight differences were identified. In addition, it was suggested that it is very important to form a consensus to resolve the difference in perception of factors between those in charge of strategy and marketing and system development within the provider group. Academically, it is meaningful in that it is an early study that presented various perspectives and perspectives by deriving a number of robo-advisor selection factors. Through the findings of this study, it is expected that a successful user-oriented robo-advisor system can be built and spread in Korea to help users.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.12 s.138
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• pp.1571-1582
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• 2004

Consumer's impulse buying behavior is extensive in everyday contexts. Credit cards promote spending by making the transaction simpler and by removing the immediate need for money. College students grown up in a credit card society attain cards at college's time and keep cards for 10 years over. In an effort to extend understanding of consumer behavior across cultures, this paper examines the cultural differences of impulse buying behavior and credit card use between Korean and American college students, and to investigate the relationships between impulse buying behavior and credit card use in each group. Data were obtained from student credit card users attending universities in metropolitan areas in Korea(N=154) and America(N=194). Data were analyzed using by Confirmatory Factor Analysis, MANOVA, MDA, and Regression. The results indicated there are significant differences of fashion-oriented impulse buying and credit card use between American and Korean college students. The impulse buying behavior is likely to increase for both Korean and American students who use credit cards for spending. Findings suggest that credit card use is important in predicting impulse buying behavior across these two cultures. Implications are drawn for the increasing global phenomenon impulse buying behavior and credit card use.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.14-27
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• 2015

This study aims to analyze the influence of bakery cafes servicescape on customer satisfaction and revisit intention, and to verify the mediating effect of customer satisfaction on the relationship between servicescape and revisit intention. This study targeted 10 bakery cafes located in Seoul, and after asking the persons concerned of the bakery cafes to check understanding, a survey with customers aged 20 or over was conducted over 10 days from March 15th to 24th 2015. A total of 250 self-administered questionnaires were distributed, and 244 questionnaires(97.6%) were used for study analysis after the exclusion of 6 incomplete and unreliable responses. To investigate the demographic characteristics of the respondents, a frequency analysis was carried out; for verification of the reliability and validity of the measuring tools, a reliability analysis and exploratory factor analysis were carried out; and for verification of the research hypotheses, simple and multiple regression analyses as well as a mediation analysis were carried out. All the data required for this study were analyzed using the SPSS 18.0 statistic program. The study findings showed that servicescape influenced customer satisfaction and revisit intention, and that Customer satisfaction had a mediating effect. Based on these findings, future marketing strategies and differentiated servicescape application methods for bakery cafes were suggested. Moreover, the limitations of the study and orientation for further research were discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.157-163
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• 2013

Data mining is a useful technology that can support new discoveries based on the pattern analysis and a variety of linkages between data, and currently is utilized in various fields such as finance, marketing, medical. In this paper, we propose an effective utilization method of data based on analysis of spatial data mining. We make use of basic data of foreigners living in Seoul. However, the data has some features distinguished from other areas of data, classification as sensitive information and legal problem such as personal information protection. So, we use the basic statistical data that does not contain personal information. The main features and contributions of the proposed method are as follows. First, we can use Big Data as information through a variety of ways and can classify and cluster Big Data through refinement. Second. we can use these kinds of information for decision-making of future and new patterns. In the performance evaluation, we will use visual approach through graph of themes. The results of performance evaluation show that the analysis using data mining technology can support new discoveries of patterns and results.

• Journal of Korea Multimedia Society
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• v.16 no.8
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• pp.982-993
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• 2013

Currency crisis, in order to solve the problem of the polarization of economic and serious youth unemployment rate, to prepare for the smart new economic era, and like to support and nurture the one-persion creating company of mobile app industry of central and local government people policies are underway. To be able to contribute to the establishment of the success of mobile app One-person creating company, to target the mobile app One-person creating company int the Busan region, we conducted an empirical study of success factors, and thus, support these solutions, more effective and efficient in an attempt to try to seek the support measures, was carried out this research. In this study, results derive a research three hypotheses about the success factors of One-person creating company through literature discussion, were investigated on the basis of empirical data of the mobile app one-persion creative company of Busan region of 51 individual, establishment of company period is longer, the number of organizations employee is large and attract a lot of external funds, and was able to find the tendency of more entrepreneurs receives an education, may increase an outcome of business. In this study, it is possible to obtain the policy implications as follows. First, to attract investment funds and attract government funding to support the funding of One-person creating company, it is necessary to pay attention more. Second, policy founder to an education about the management on an ongoing basis is needed than the education of marketing and technology for human resources development. Future, you will be able to expand across the country study company, we have established a policy of mobile app industry of national dimension, in this foundation, will be expanded to all industries.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.117-135
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• 2015

Mobile wallet that can keep coupons and membership cards for mobile is one of rapidly growing services due to its usability and financial benefit. However, in spite of its rapid growth, the increase of users who do not use continuously it is an important consideration to service providers for making a profit. This study aims to test the effects of factors affecting the continuous use intention of mobile wallet based on VAM (Value-based Adoption Model) which can analyse them in both benefit and sacrifice aspects, so as to suggest considerations to increase the use period of mobile wallet for service providers. The research findings supported the hypotheses regarding to the effects of usefulness, value-expression, perceived security and enjoyment in the benefit aspect and technicality in the sacrifice aspect on perceived value. In addition, the causal path from perceived value to continuous use intention was significant. The study results are expected to be used in marketing or service improvement for short-term users by taking account of emotional factors as well as functional factors.

• Journal of Distribution Science
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• v.5 no.2
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• pp.55-78
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• 2007

Northeast Asia is one of the regions which have been developing so rapidly. Yellow sea, located between Korea and China, became a very important logistical zone because of its huge volume of cargo and big passenger traffic. These two countries continuously are enlarging their port facilities such as berths, container yards, storage capacity and their information system in this the Pan Yellow sea area. Two countries also introduce many new liner routes and car-ferry shipping services. Therefore there must be a severe competitions and conflicts among the countries and their companies and ports as well. Some experts worry about the over capacity of port and logistics facilities. This paper investigated the current conditions of Korea-China shipping route, container and car-ferry route, and found out the problems and tasks, with the support of many experts. There are so many alternatives and strategies to solve and rationalize the shipping route and the problems of ports of two countries. This paper suggest many strategies connecting with marketing 4Ps. As port service is also a kind of service product, we can categorize the strategies into 4Ps suggested by McCarthy. And this paper classify all these alternatives into 3 dimensions. There are competitive strategies, cooperative strategies and coopetition strategies. This paper propose some directions and ideas for adopting the strategy in the port and logistical topics between Korea and China, suggesting 3 dimensions of strategies. After this paper, many diagnoses and practical investigations should be executed to introduce optimal solutions and minimize the additional cost.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.5
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• pp.101-111
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• 2017

This Research is to Find how the CSR Activities for the Growth of Stable and Sustainable Family Business do Influence the Improvement of Company's Brand Image and Service Purchase Intention. It is Aimed for Finding how the Image of Company Pursuing the Diverse CSR Activities is Recognized by General Consumers and the Correlation between the Improvement of Company's Image and the Product & Service Purchase Intention. 323 Exemplars were Distributed to the University Students in Seoul Metropolitan and Chungcheong Area, and 314 Finally were Used for the Analysis. It was Investigated the Demographical Factors, the Important Fields among Company's CSR Activities, the Reason for Company's CSR Activities, the Preferred Companies among Sponsoring Companies. It was Analyzed Three Items of Company Image such as Product/Service, Potential Competence, Relation to Public Benefit and the Regression Model was Investigated how these Three Items do Influence the Purchase Intention. The Research Results Show 'the Improvement of Social Awareness for Company' and 'Negative Awareness Change for Company' as the Reason for CSR. Consumers have the Preference to the Companies Actively Sponsoring Culture & Arts, and this Generally Affects the Business Results, and thus, it is Considered that the Companies have to Contribute the Local Society with the Sprit of Corporate Citizenship in Accordance with the Consumers needs, and Actively to Extend the Culture & Arts Sponsorship.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.73-86
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• 2017

The purpose of this study was to investigate the influence of consumers' shopping value(SV), ease of use(EOU), and usefulness(U) on their purchase intention(PI) in mobile shopping mall. Path hypotheses in structural equation model which was constructed for this purpose were verified. In addition, the research model was analyzed according to the groups classified by the level of purchase experience in mobile shopping mall. The survey was limited to the respondents in their 20s and 30s living in Seoul and other metropolitan areas who had purchased fashion products in mobile shopping mall. 411 useful data collected from on-line survey were analyzed by descriptive statistics, exploratory factor analysis, confirmatory factor analysis, reliability analysis, and pearson's correlation analysis using SPSS 21 and AMOS 19. The results of verifying the hypotheses were as follows: First, SV was composed of two factors which included hedonic shopping value(HSV) and utilitarian shopping value(USV). Second, the research model was verified as an acceptable model in explaining the influence of consumers' SV, EOU, and U on PI. Third, seven hypotheses among nine hypotheses were accepted in high purchasers. HSV did not have a significant influence on PI, and EOU did not affect PI significantly. Fourth, five hypotheses were accepted in light purchasers. HSV affected U significantly while USV had a significant impact on EOU and PI. EOU affected U, and U affected PI significantly. In conclusion, USV was proven to be the factor affecting PI directly as well as indirectly. Eou and U also had a significant influnce on PI in mobile fashion shopping. These results will provide mobile marketers with the differentiated strategies to make consumers lead to mobile purchase.

• Journal of Internet Computing and Services
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• v.16 no.3
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• pp.59-69
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• 2015

Many users visit websites every day to perform information retrieval, shopping, and community activities. On the other hand, there is intense competition among sites which attempt to profit from the Internet users. Thus, the owners or marketing officers of each site try to design a variety of marketing strategies including cooperation with other sites. Through such cooperation, a site can share customers' information, mileage points, and hyperlinks with other sites. To create effective cooperation, it is crucial to choose an appropriate partner site that may have many potential customers. Unfortunately, it is exceedingly difficult to identify such an appropriate partner among the vast number of sites. In this paper, therefore, we devise a new methodology for recommending appropriate partner sites to each site. For this purpose, we perform site clustering from the perspective of visitors' similarities, and then identify a group of sites that has a number of common customers. We then analyze the potential for the practical use of the proposed methodology through its application to approximately 140 million actual site browsing histories.