• Journal of Families and Better Life
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• v.7 no.2
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• pp.31-43
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• 1989

The purposes of this study were to identify the overall levels of consumer problem, consumer competencies and purchase pattern of urban low-income consumers and to examine the factors affecting the consumer problem and the subareas-market environment problem(MEP) and transaction relation problem(TRP). The related factors, that is, independent variables were competencies-related factors(consumption-oriented attitude, attitude on consumerism, consumer knowledge), purchase pattern-related factors (search pattern, credit pattern, peddler pattern) and socio-demorgraphic factors(age, educational level, family size). For this purpose, a survey was conducted by interview using questionaires on 198 homemakers that lived in the poor areas of Seoul. Statistics used for data analysis were Frequency Distribution, Percentile, Mean, Pearson's Correlation, One-way ANOVA, Scheffe-test, Breakdown and Multiple Classification Analysis. Major findings were as follows: 1) In the level of consum r problem were in the middle level and the level of MEP were higher than that of TRP. The attitude on consumption-orientation was so negative, while attitude on consumerism was positive. The level of consumer knowledge was in the middle level. The urban low-income consumers searched a little and depended on credit and peddler in the low level. 2) Consumer problem perceived by urban low-income consumers differed significantly according to attitude on consumerism, credit pattern, monthly charge of peddler purchase. The MEP depended on attitude on consumerism and monthly charge of peddler purchase, and the TRP was affected by credit pattern and attitude on consumerism. Resulting from MCA, the most influencial variable was attitude on consumerism and credit pattern in the consumer problem, and attitude on consumerism in the MEP, and credit pattenr in the TRP.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.15-29
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• 2014

This study analyzes the influence factors of IPTV users on the purchase of paid contents. This study carries out a web-log analysis of the actual users of the service provided by the domestic IPTV providers and classifies the influence factors on the purchase of paid contents largely into VOC, switching barriers, and content consumption pattern to conduct an empirical analysis. As analysis procedure, first, this study analyzes the preceding researches related to the core influence factors and content-purchasing patterns, and second, conducts a basic statistics analysis of the distribution of basic characteristics of the logs used, as presented in the above. Third, this study carries out a multiple regression analysis as an estimating equation of the number of purchasing the paid content depending on switching barriers of IPTV service, VOC, and content consumption pattern. As a statistical package, Stata version 11.2 was used. Through the empirical analysis, this study found that of the service use logs, VOC and content consumption pattern had a multi-dimensional impact on the purchase of premium contents. On the other hand, this study also found that the impact of switching barriers such as combination state with other products and current status of holding a point did not have a significant impact on the purchase of paid contents.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.509-512
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• 2004

• The Journal of Economics, Marketing and Management
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• v.5 no.4
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• pp.19-28
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• 2017

This study is aiming to suggest baseline date for the establishment of policy alternative to make healthy consumption life of the elderly through investigating and analyzing actual condition of consumption related with the awareness of health functional food such as purchase behavior and consumer's problems about health functional food. Under the assumption that the vitalization of health functional food market will become an important market in the present and in the future, the fundamental marketing information about elder consumers is more important than any other information that is essential for successful marketing to domestic corporations and senior policy experts. In addition, there was a fundamental significance to provide necessary basic data for health promotion of the elderly by offering information about rights and interests of elder consumers who are members of vulnerable social group or right choice of purchasing or intake. The limitations of this study are as follows. First, the subjects were selected who live in Gangwon-do with the age of 60 and over due to the limitation of sampling, and that might be shown local characteristics. Therefore, the study result could not be generalized on behalf of all elderly in Korea and it is difficult to apply the result to more segmented market. To solve this problem, studies containing sampling by regional groups might be needed.

• Journal of Distribution Science
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• v.17 no.8
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• pp.25-34
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• 2019

Purpose - Investigate the association of internal and external factors of consumers and analysing the role of moderating comparative marketing aspects, especially the part of YouTuber and celebgram in influencing purchase decisions. Apart from that, it provides an overview of the pattern of purchase decision making in forming Millennials and Y generation consumer culture Research design, data, and methodology - This study uses a quantitative research approach with descriptive, predictive, and prospective data analysis on 300 eligible Millennials and Y aged 20-35 years who are bachelor-educated. Data collection using online surveys with final statistical analysis using the Partial Least Square (PLS) approach Results - All hypothesis are declared accepted, indirect testing the dominant internal consumer factors have a positive and significant effect on consumers' purchase decisions. Through testing Moderating, aspect marketing comparative is also authoritative able to moderate internal consumer factors towards purchase decision making. Conclusions - Digital technology is changing the paradigm and perceptions of the millennials and Y generations in terms of behaving as a generation of technology connoisseurs who also influence and shape the culture of that generation and the generations to come in the future.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.195-200
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• 2018

Recently, as the sensor and big data analysis technology have been developed, there have been a lot of researches that analyze the purchase-related data such as the trajectory information and the stay time. Such purchase-related data is usefully used for the purchase pattern prediction and the purchase time prediction. Because it is difficult to find periodic patterns in large-scale human data, it is necessary to look at actual data sets, find various feature patterns, and then apply a machine learning algorithm appropriate to the pattern and purpose. Although existing papers have been used to analyze data using various machine learning methods, there is a lack of statistical analysis such as finding feature patterns before applying the machine learning algorithm. Therefore, we analyze the purchasing data of Songjeong Maeil Market, which is a data gathering place, and finds some characteristic patterns through statistical data analysis. Based on the results of 1, we derive meaningful conclusions by applying the machine learning algorithm and present future research directions. Through the data analysis, it was confirmed that the number of visits was different according to the regional characteristics around Songjeong Maeil Market, and the distribution of time spent by consumers could be grasped.

• Journal of Distribution Science
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• v.14 no.10
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• pp.109-116
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• 2016

Purpose - This study investigates the purchase pattern relating to soybean products in Korea. Specifically, the effect of branding based on a regional name was analyzed in terms of consumer purchase frequencies. The primary purpose of this study is to understand why family characteristics affect product selection for a regional brand in the soybean food category. Research design, data, and methodology - We used data collected by the Rural Development Administration (RDA) of Korea. The RDA has monitored agricultural food consumers for years in order to obtain purchase records. Panel participants live in regions near the capital city of Seoul, Korea. Examining data from January 2010 to May 2016, 667 families were selected for analysis. The final data set was 1,335,402. Each purchase item by each individual family was aggregated to a countable weekly observation. To analyze the data set quantitatively, zero-inflation regression was adopted, which was appropriate to avoid biases from overly dispersed observations. Results - We hypothesized the effects of regional branding from the viewpoint of the family characteristics. The first hypothesis was that the number of children would be positively associated with the purchase of a regional brand of soybean products. The result strongly supported this hypothesis. The second hypothesis was that the number of family members would be negatively associated with the purchase of the soybean products of a regional brand. Based on empirical analysis, we concluded that this hypothesis was partially supported. The third hypothesis was the presence of an interaction effect between the number of children and the family size, which was supported by the results. As a supplementary analysis, we also tested mean-variance differences in terms of categories and regional branding with corporate branding. Conclusion - The results of this study provide insights for regional branding strategies in agricultural food management. This study appears to be one of the seminal studies trying to analyze purchase patterns from longitudinal observations. In addition, this study adopted variables characterizing family lifestyle. This study confirmed that children and family size should be considered when soybean product brands are introduced.

• Journal of Distribution Science
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• v.15 no.7
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• pp.43-52
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• 2017

Purpose - This study investigates shopping behaviors and effects focusing on the seniors in 50s and 60s based on their buying satisfaction in online shopping. The study investigated causal relation between effects having influence upon online shopping behavior to give theoretical base on the use of online shopping. The study gave implications of consumption attitude of silver generation as well as senior consumers in aging society. Research design, data, and methodology - The subject was senior consumers who have experienced online shopping to be sensitive to the fashion and to have active and reasonable consumption pattern and to be active and to have positive value. Results - This study investigated the mediating effect on purchase satisfaction of the 50s and the 60s upon online shopping to examine online shopping use and effects. The subject was the ones in their 50s and 60s in Gyeonggi and Chungnam who had experienced online shopping. All of hypotheses of models at PLS analysis were supported. Conclusions - Both information innovation and self-satisfaction showed positive influence upon the ease of and also access of the use. In addition, the access to the use had positive influence upon the purchase intention in retailers' online shopping.

• Journal of Navigation and Port Research
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• v.26 no.3
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• pp.337-344
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• 2002

Although the number of site for ship sale and purchase are increasing year by year, we can not find the agent system for retrieving the necessary data automatically and efficiently. The object of this paper is to find the design structure of the intelligent agent systems by using wrapper technology. This paper is composed of two contents : design of retrieving system for agent and its application to ship sale and purchase. This paper will be evaluated in terms that its target domain is ship sale and purchase. In the result of the study, agent process is composed of reading URL, taking the source data, processing tag, pattern analysis, and storing the contents analysed.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.1
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• pp.29-48
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• 2014

The recent keyword advertising does not reflect the individual customer searching pattern because it is focused on each keyword at the aggregate level. The purpose of this research is to observe processes of customer searching patterns. To be specific, individual deal-proneness is mainly concerned. This study incorporates location as a control variable. This paper examines the relationship between customers' searching patterns and probability of purchase. A customer searching session, which is the collection of sequence of keyword queries, is utilized as the unit of analysis. The degree of deal-proneness is measured using customer behavior which is revealed by customer searching keywords in the session. Deal-proneness measuring function calculates the discount of deal prone keyword leverage in accordance with customer searching order. Location searching specificity function is also calculated by the same logic. The analyzed data is narrowed down to the customer query session which has more than two keyword queries. The number of the data is 218,305 by session, which is derived from Internet advertising agency's (COMAS) advertisement managing data and the travel business advertisement revenue data from advertiser's. As a research result, there are three types of the deal-prone customer. At first, there is an unconditional active deal-proneness customer. It is the customer who has lower deal-proneness which means that he/she utilizes deal-prone keywords in the last phase. He/she starts searching a keyword like general ones and then finally purchased appropriate products by utilizing deal-prone keywords in the last time. Those two types of customers have the similar rates of purchase. However, the last type of the customer has middle deal-proneness; who utilizes deal-prone keywords in the middle of the process. This type of a customer closely gets into the information by employing deal-prone keywords but he/she could not find out appropriate alternative then would modify other keywords to look for other alternatives. That is the reason why the purchase probability in this case would be decreased Also, this research confirmed that there is a loyalty effect using location searching specificity. The customer who has higher trip loyalty for specificity location responds to selected promotion rather than general promotion. So, this customer has a lower probability to purchase.