• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.475-484
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• 2020

This monograph was probed effectively by using practical methods in a subjectivity study that was accessible in depth, departing from bygone behavior of functional quantity analysis of awareness and the opinions of young people about the general (public) model of TV advertising. The perception patterns resolved in this study sorted out four types in a Q-methodology. The result is divided as follows: 1 [(N=7): Advertising Consensus Type], 2 [(N=7): Advertising Negative Type], 3 [(N=5): Advertising Purchasing Reduction Type], and 4 [(N=1): Advertising Persuasion Orientation Type]. As such, we found very different types all over. Finally, this study reviews subjective acceptance as to the type of model reception with regard to general TV advertising, offering a developmental suggestion on the issue, and an agenda about it.

• Journal of the Korea Computer Industry Society
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• v.2 no.7
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• pp.945-952
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• 2001

In consequence of expansion of internet users, electronic commerce is becoming a new prototype for marketing and sales, arid most of electronic commerce sites or internet shopping malls provide a rich source of information and convenient user interfaces about the organizations customers to maintain their patrons. One of the convenient interfaces for users is service to recommend products. To do this, they must exploit methods to extract and analysis specific patterns from purchasing information, behavior and market basket about customers. The methods are association rules and sequential patterns, which are widely used to extract correlation among products, and in most of on-line electronic commerce sites are executed with users information and purchased history by category-oriented. But these can't represent the diverse correlation among products and also hardly reflect users' buying patterns precisely, since the results are simple set of relations for single purchased pattern. In this paper, we propose an efficient mining technique, which allows for multiple purchased patterns that are category-independent and have relationship among items in the linked structure of single pattern items.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.1
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• pp.159-169
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• 1998

The purpose of this study was to develop a large representative data base of market information for jeans apparel. This study was to observe consumer buying behavior and to determine the market share of various brands depending on several variables such as age and distribution regions. This study also analyzed the major factors in purchasing jeans for 17-29 age groups. The 660 questionnaires were distributed and 618 reliable ones were used for statistical analysis. A SAS statistical package including frequency' table, Chi-square test, factor analysis, analysis of variance(ANOVA), Duncan's multiple range test was used. The results of this study showed that consumer possessed about 6 pairs of jeans and bought about 3 pairs of jeans per year. The most recently purchased brand was Nix. Lots of brands were statistically significant at the segmented three age groups and in the five different distribution regions. The most popular type of design was the basic style. The result of factor analysis indicated 4 factors(quality/comfort, famous brand/fashion, mood/extrinsic attitude, economy). The result of ANOVA represented that three factors among them have influenced on the preferred design types.

• Korean journal of food and cookery science
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• v.31 no.2
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• pp.103-111
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• 2015

This study considered the intake patterns and realities of consumptions at bakeries in Korea. Based on a total of 442 customers obtained from empirical research, and self-administrated questionnaires were collected and analyzed by using frequency, chi-square, and one-way ANOVA. Satisfaction with the preferred bakery was shown to be in the order of taste, service, product, and price. A most considered factor in selecting the bakery was taste. The visiting frequency was shown to be the highest for 1~2 times a week. The expense per visit was shown to be won 5,100~10,000 on average. The purchase of refreshment was shown to be the most frequent propose of visiting. The product that was mainly being purchased was the sweet dough bread. It was answered to be difficult because of failing to know to contained materials when purchasing product at bakery. Limitations and future research directions are also discussed in this study.

• International Journal of Human Ecology
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• v.8 no.1
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• pp.39-51
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• 2007

This study compares the buying patterns of American and Korean female college students in relation to their self-concept. It was implemented through self-administered questionnaires which were back translated for validity. Respondents comprised 730 female students majoring in fields related to clothing and textiles: 307 U.S. students were located in the Northeast, West, and Southwest, and 423 Korean students were at four universities in Seoul. Likert scales were used for most measures, with 1 = never or very unimportant, and 5 = always or very important. Personal self-concept was measured on the basis of Won-Shik Jung's Standardized Self-concept the Test and Tennessee Self Concept Scale. Data were analyzed by descriptive statistics and t-tests. Some clear differences between the two countries emerged. Marketers targeting American consumers should pay more attention to practicality and service, and for Koreans, more symbolic meaning of products and store displays, since these are important to them. Self-concept was somewhat related to purchasing behavior, but more study should be done before applying findings to marketing concepts.

• East Asian Economic Review
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• v.21 no.3
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• pp.201-230
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• 2017

This paper studies the long-run behavior of relative price dispersion among cities in Korea with a special emphasis on heterogeneous transitional patterns of price level dynamics. Formal statistical tests indicate considerable evidence for rejecting the null of relative price level convergence among the majority of cities over the sample period of 1985-2015. The analysis of gravity model suggests that the effect of transportation costs on intercity price level differentials is limited, while other socioeconomic factors, such as income, input factor prices, demographic structure, and housing price growth, play key roles in accounting for persistent regional price level disparities. Individual price levels are found to be better explained by a multiple-component model, and the deviations from PPP may be attributed to distinct stochastic common trends that are characterized by income and demographic structure.

• Journal of Families and Better Life
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• v.22 no.4
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• pp.157-171
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• 2004

In this study, adolescent consumers were first classified by their consumption propensity, and different types of adolescent consumers were compared regarding their consumption behavior and allowance management. The adolescents were classified into four groups by type of control and symbol-orientation. The adolescents of the external control group possessed more commodities than the internal control group. There were significant differences in the patterns of allowance management in the four groups. The low-external symbol group owned more commodities than high-external symbol group. The high-external symbol group considered external appearance more important when purchasing commodities.

• International Journal of Advanced Culture Technology
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• v.4 no.4
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• pp.70-74
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• 2016

Electronic commerce (E-commerce) using virtual reality (VR) has the advantage of being able to purchase products without restrictions of time and location by overcoming the limitations of existing offline transactions. It is still a rudimentary but fast growing technology, and the use of E-commerce in VR is expanding. The barriers that consumers might face in utilizing E-commerce in VR is the relevance to Information and Communications Technologies (ICT) technology. Fundamentally, it requires Internet access and use through PCs or mobile devices such as smart phones. Because unlike off-line markets, it is difficult to determine the purchase patterns of customers, customer purchasing behavior analysis must be done using computer access records. In order to expand and develop E-commerce in VR in the future, learning ability should be improved through combining with artificial neural network by deep learning that is recently in the spotlight, and the ability to overcome errors need to be improved to enable use in various fields.

• Journal of Korea Multimedia Society
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• v.3 no.1
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• pp.41-52
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• 2000

This paper introduces the design and implementation of product search support agent for an efficient Internet shopping. In existing shopping malls, electronic catalogs provide the product information by subject or keyword, or the buying information by purchasing history. This proposed product search support agent system is designed to analyze navigating patterns of customers, extract more effective buying information with regard to the current trend in customer navigating . In conclusion, this product search support agent can propose more suitable buying information to customers that he can be proposed to make purchases more efficiently.

• International Journal of Costume and Fashion
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• v.13 no.2
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• pp.15-29
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• 2013

Today's technology enables consumers to trade millions of dollars, conduct online banking, access entertainment, and do countless other activities at the click of a button. Online social networks (OSN) have become a cultural phenomenon that allows for individualistic consumerism. Consumers are increasingly utilizing OSN to share ideas, build communities, and contact fellow consumers who are similar to themselves. The relevance of online communities to the music is immense especially because musicians are now using social media to build global audiences. Not only is information about music and performance disseminated online, but musical commodities are sold and traded online. Online music communities allow consumers to elect and create new identities online through the purchase of subcultural commodities. Given the growing economic importance of online music communities it is important to get a holistic view of subcultural communities online. This study utilized content analysis of online music community websites using the Netnography methodology as developed by Kozinet for data collection to analyze consumers' purchasing and consumption behavior of subcultural commodities online as related to the formation of subcultural identities. Findings showed that subcultural items are predominantly purchased online, especially digital music, and there is a need for more custom craft items. The authors presented a new conceptual taxonomy of online subcultural consumer classifications based on online behavior patterns.