• Korean journal of food and cookery science
• /
• v.8 no.2
• /
• pp.107-115
• /
• 1992

This retrospective study was conducted to investigate the growth of children and their care person's weaning behaviors and its relation between the growth and care person's attitude and behaviors about weaning. 272 subjects who had child under 2 years old at that time were randomly selected and answered the special questionnaire. Results were as follows: Using to Kaup index, 13.4% of children were estimated undernutrition, 60.6% were normal and 26.0% were estimated overnutrition. 97.6% of respondant (children's mother) were recognized the need of weaning and the first prurpose of weaning was supplement of nutrients, and the next one was to set up normal food habits. 39.1% of subjects were used normal adult foods as weaning food. 60.9% of subjects were proepared special foods (making at home or buying commercial weaning food). The socioeconomic status was major factor to influence mother's behaviors about weaning. Vegetable and meat gruel was the most commen weaning food and the next one was fruits puree and rice with soup. The correlationship were found between Kaup index and the score of mother's weaning behaviors, between momer's eductional level and the score of weanig behaviors. 96% of subjects wanted nutritional education about weaning. They wanted to know about desirable weaning process and correct informations of commercial weaning foods mid the convenient cooking methods. According to the difference of socioeconomic status subjects were wanted different eductional methods. Upper socioeconomic group wanted special books about weaning and lower class wanted to be educted through the mass media especially television programs.

• Journal of Convergence for Information Technology
• /
• v.11 no.1
• /
• pp.261-267
• /
• 2021

This study aims to explore the effect of beauty lifestyle behaviors on the pursuit of beauty values and cosmetics purchasing behaviors in female college students, identify consumption market of female college students in beauty industry and contribute to the advancement of beauty industry. Data were collected by conducting a survey in 328 students. The survey was performed using self-administered questionnaires answered by the respondents themselves. The survey items were rated on a 5-point Likert scale and multiple choice question type was used. Statistical analyses were done using SPSS Statistics ver. 22.0. The study results are as follows. First, the regression analysis on the effect of beauty lifestyle behaviors on the pursuit of beauty values were found to be impacted on the sub-variables of beauty lifestyle behaviors including manicure, make-up, diet, body-shaping, and shopping behaviors (p<0.01). Second, the results of a difference in the pursuit of beauty values by cosmetics purchasing behavior showed that purchase frequency of cosmetic products for buying cosmetics were found to be statistically significant Third, as the results of a difference in cosmetics purchasing behaviors by beauty lifestyle behavior, reasons for the purchase frequency of cosmetic products, cost of purchasing cosmetics were statistically significant.

• Journal of Korean Home Economics Education Association
• /
• v.31 no.3
• /
• pp.57-71
• /
• 2019

This study intended to analyze the ethical clothing consumption behavior of female adolescents and use it as a basic data for education. Specifically, the female adolescents were classified according to their shopping orientation and then the differences among these groups were examined in terms of their ethical consumption behavior of clothing products, i.e., buying, using and disposing. As a result, three groups were identified: pleasure-seeking, intermediate, independence pursuing according to the shopping orientation sub-factors (loyal, enjoyment, impulsive, imitative and independent). The pleasure-seeking group were more likely to conduct ethical use behavior of clothing products, while the independence-pursuing group conducted more ethical buying and ethical disposing behavior. The lower their desire to enjoy shopping itself, the more cautious they are about their own decisions, and the more confident they about buying from the brand and store they liked, the more likely they were to conduct ethical buying behavior of clothing products. On the other hand, when the emotional and desire-seeking tendencies are combined with independent shopping tendencies, the more likely they conduct ethical use behaviors. In addition, the more they make independent purchasing decisions, the more likely they are to conduct ethical disposal behaivors. The results of this study suggest that providing detailed consumer education that considers individual differences in shopping orientation is needed.

• Management & Information Systems Review
• /
• v.27
• /
• pp.1-30
• /
• 2008

The objective of this paper is to gain a better understanding of factors influencing digital piracy and the use of paid services on the web. A model identifying and describing various factors which affect decision$\sim$makers' attitude toward sharing digital products and online behavioral intentions is constructed based on established theories of human behavior. The relationship between the continuous intention of sharing the products and the intention to use online services is also discussed. Findings show that a independent relationship exists between illegal and legal behaviors, which means stopping piracy by individuals can not lead to their buying of the products. Also while the attitude toward piracy was significantly related to the continuous intention of piracy behaviors, did not necessarily lead to the use intention of online services. The data also show that beliefs concerning consequences of digital piracy were significant enough to alter one's behavioral attitude. There was a significant relationship between perceived consequences and the intention to pirate digital products or to use paid services. The results also show that while the effect of economical and ethical factors were ascertained, that of social and legal factors have not been found. Self$\sim$efficacy has a moderating effect on the relationship between the attitude toward piracy and both intentions of online behavior. The implications of the findings to research and practice are discussed.

• Journal of Wellbeing Management and Applied Psychology
• /
• v.5 no.2
• /
• pp.1-9
• /
• 2022

Purpose: This study looked at perfume buying patterns among 328 adolescents. Research design, data and methodology: The purchasing behaviors and attitudes of adolescents were divided into clusters and whether the purchasing behaviors and attitudes of each cluster had a moderating effect on purchasing behavior factors was analyzed. Results: Group classification according to attitude toward perfume purchasing behavior was divided into group 1, which purchases perfume according to one's own subjective opinion, and group 2, who purchases perfume according to external factors. Among the six purchasing behavior factors, the internal pleasure-seeking (p.<001) and fashion-seeking (p.<001) factors were statistically significant in both clusters 1 and 2, and in cluster 2, economic feasibility (p.<001)) internal product. It was found to be statistically significant other than pleasure and trend-seeking, indicating that there is a difference between the two groups. Conclusion:Adolescents consider economic feasibility when purchasing perfume, so it is necessary to set low prices and diversify products for marketing plans for perfume products

• Asia pacific journal of information systems
• /
• v.33 no.3
• /
• pp.737-767
• /
• 2023

With the availability of big customer data and advances in machine learning techniques, the prediction of customer behavior at the session-level has attracted considerable attention from marketing practitioners and scholars. This study aims to predict customer purchase conversion at the session-level by employing customer profile, transaction, and clickstream data. For this purpose, we develop a multimodal deep learning fusion model with dynamic and static features (i.e., DS-fusion). Specifically, we base page views within focal visist and recency, frequency, monetary value, and clumpiness (RFMC) for dynamic and static features, respectively, to comprehensively capture customer characteristics for buying behaviors. Our model with deep learning architectures combines these features for conversion prediction. We validate the proposed model using real-world e-commerce data. The experimental results reveal that our model outperforms unimodal classifiers with each feature and the classical machine learning models with dynamic and static features, including random forest and logistic regression. In this regard, this study sheds light on the promise of the machine learning approach with the complementary method for different modalities in predicting customer behaviors.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.143-146
• /
• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.36 no.4
• /
• pp.161-184
• /
• 2011

As movie demands become more and more diversified, it is necessary for movie related firms to segment a whole heterogeneous market into a number of small homogeneous markets in order to identify the specific needs of consumer groups. Relevant market segmentation helps them to develop valuable offer to target segments through effective marketing planning. In this article, we introduce various segmentation methods and compare their advantages and disadvantages. In particular, we analyze "2009~2010 consumer survey data of Korean Film Industry" by using Latent Class Analysis(LCA), a statistical segmentation method which identifies exclusive set of latent classes based on consumers' responses to an observed categorical and numerical variables. It is applied PROC LCA, a new SAS procedure for conducting LCA and finally get the result of 11 distinctive clusters showing unique characteristics on their buying behaviors.

• The Journal of Society for e-Business Studies
• /
• v.5 no.1
• /
• pp.75-91
• /
• 2000

The new paradigm, which is called Electronic Commerce (EC), has greatly influenced not only enterprises but also other part of our society. Many goods have been actively transacted through EC all over the world. But there is a great difference between agricultural products and industrial products in terms of selling and buying behavior. Industrial products are well standardized and time-invariant in quality but agricultural products are not. Even the domestic distribution channels of agricultural products are much complex and are not modernized with internet technology. In this study, we first identify the behaviors of electronically transacting agricultural products and then develop and EC architecture far agricultural products in Korea. We suggest that EC for agricultural products focuses on B2B (Business to Business) model and various agricultural information should be distributed from B2B market over all supply chain and demand chain channels.

• Fashion & Textile Research Journal
• /
• v.3 no.2
• /
• pp.148-155
• /
• 2001

The purpose of this study was to segment the clothing customers of new traditional market according to shopping orientation and to clarify the different clothing behaviors among segmented groups. This study may be useful for new traditional marketer to make proper marketing strategies. The subjects for the final analysis were 400 customers who visited Namdaemoon and Dongdaemoon new traditional markets. The statistics used for analysis were factor analysis, cluster analysis, Cronbach-${\alpha}$, one-way ANOVA, LSD multiple range test and chi-square by the SPSS program. The results of this study were as follows: 1. The customers of new traditional market were segmented to 5 groups (Diffidence Group, Confidence/Information Group, Active Group, Shop/Brand Loyalty Group and Planned Purchasing Group); 2. The five segmented groups were significantly different in clothing evaluation standards, shop evaluation standards, satisfaction and demographic variables such as sex, age, education and monthly spending money.