• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.279-290
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• 2018

The purpose of this study was to investigate the effect of consumption patterns of lactic acid bacteria(LAB) on the purchasing decisions of LAB products for the commercialization of lactic acid fermented products. The average use frequency of LAB product was 5 times/week and liquid type was the most preferred. The LAB products were purchased for their health benefits. The requirements for improvement of LAB products were natural (6.037), functional (5.936) and storage (5.856). Multiple regression analysis was conducted to examine the effect of consumption buying behavior on purchase decision-making behavior factors of LAB products. From the analysis results, comparison(. 468) appears to affect the ingredient factor. Comparison(.188), experience(.281), and showoff(.370) influence brand factors. Showoff(.598) influences design factors. Showoff (0.345) affected the price factor. Increasing the purchasing decision ability of LAB products will require producing a functional product in comparison with other products, and producing the products in a company with strong recognition. The packaging should suggest a luxurious design and expensive products.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.1
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• pp.239-248
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• 2024

In this study, we examined changes in the food consumption patterns of Korean adults due to COVID-19 using the results of the 2019 and 2021 adult household member food consumption behavior surveys. In the weight and BMI analysis results, both men and women showed a significant increase in 2021 compared to 2019 (male; p<0.01 female; p<0.001). The frequency of breakfast skipping was found to increase with none and over 5 times. As for interest in domestic agricultural products, the proportion of 'not interested' and 'average' responses decreased, while the proportion of those who responded 'interested' increased (p<0.01). The rate of eating out was found to have significantly decreased in 2021 compared to 2019. As a result of the eating lifestyle analysis, the taste seeking type, quality safety seeking type, and health seeking type also showed an increase in 2021 compared to 2019, and a significant level was confirmed. In the purchasing competency index, the use of labeling for agricultural products, use of agricultural food information, and agricultural food purchasing environment items all showed significantly improved results in 2021 compared to 2019, and the eating competency index showed a significant increase in healthy eating and traditional eating habits. Through this study, we aim to suggest directions for establishing food marketing strategies and dietary education for adults in the event of a future pandemic.

• Journal of the Korean Home Economics Association
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• v.38 no.3
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• pp.131-147
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• 2000

The purpose of this study was to identify food management behavior of housewives in island areas and to find if the behavior patterns were different between the regions, Hansan and Ullung island. An instalment based on previous researches was designed to measure food management behavior and was administered to 274 housewives in 1994 and 1998. Considering the condition of cooking-equipment possession, the percentage of possession for refrigerator, mix, electric range were significantly higher for households in Hansan Island than their counterparts. For food-budget planning, those in Ullung Island were more likly to plan their budget than those in Hansan Island. Menu planning patterns, considerable factors for food selection as well as cooking, and eating habits between meals were tuned out to be different between Hansan and Ullung areas. The findings of this study suggest that the condition of cooking-equipment possession, food-budget and menu planning, considerable factors for food selection and cooking, eating habits between meals were likely to vary depending on regions. Although housewives in two areas were living in island, they were not necessarily be uniform for all households but were diversified in food management behavior. Half of the respondents in Hansan Island and three-forth of the respondents in Ullung Island reported they had not planned their meal budget. The percentage of those who did not have their planned menu was 52.7∼54.1% in Hansan Island and 37.1∼38.5% in Ullung Island. When purchasing food material, housewives in Hansan Island consider the seasoning food as the most important factor, whereas those in Ullung Island consider family preference as the most important factor

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.1
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• pp.90-100
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• 2013

This study uses a survey questionnaire to identify the major customer age class of adult women who frequently mountain climb as well as analyze their purchasing behavior and preference of mountain climbing pants. The field survey, classified the types of mountain climbing pants, selected the types of mountain climbing pants that consumers preferred, and then analyzed the degrees of satisfaction for mountain climbing pants based on an evaluation of wearing. Specifically, the patterns of mountain climbing pants preferred by national brands and licensed brands were compared and analyzed. The validities of commercially available mountain climbing pants were analyzed through an evaluation of wearing comfort and an evaluation of wearing on a 3D simulation of the human body. The basic data for the development of mountain climbing pants are presented based on the results. The survey questionnaire results indicate that the major class of women consumers of mountain climbing goods was in the 40s to 50s; in addition, the types they most wore were straight type and functional cut type. The preferred brand was KOLONSPORT (which occupies a 21.2% market share), followed by THE NORTH FACE (13.0%), K2 (11.5%) and Kolping (10.0%). The main reason (26.8% of responses) that they preferred these brands was functionality. The difference in measurement of climbing pants patterns could be analyzed accurately in the pattern analysis, the wearing evaluation by the self-sonsory test and evaluation of wearing comfort through 3D simulation. The results of ANOVA on motions and items indicates that no significant difference was found among motions; however, a significant difference was recognized among items. A comparison of straight type and functional cut type showed that the functional cut type excelled slightly in wearing comfort.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.85-107
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• 2019

Online consumers browse products belonging to a particular product line or brand for purchase, or simply leave a wide range of navigation without making purchase. The research on the behavior and purchase of online consumers has been steadily progressed, and related services and applications based on behavior data of consumers have been developed in practice. In recent years, customization strategies and recommendation systems of consumers have been utilized due to the development of big data technology, and attempts are being made to optimize users' shopping experience. However, even in such an attempt, it is very unlikely that online consumers will actually be able to visit the website and switch to the purchase stage. This is because online consumers do not just visit the website to purchase products but use and browse the websites differently according to their shopping motives and purposes. Therefore, it is important to analyze various types of visits as well as visits to purchase, which is important for understanding the behaviors of online consumers. In this study, we explored the clustering analysis of session based on click stream data of e-commerce company in order to explain diversity and complexity of search behavior of online consumers and typified search behavior. For the analysis, we converted data points of more than 8 million pages units into visit units' sessions, resulting in a total of over 500,000 website visit sessions. For each visit session, 12 characteristics such as page view, duration, search diversity, and page type concentration were extracted for clustering analysis. Considering the size of the data set, we performed the analysis using the Mini-Batch K-means algorithm, which has advantages in terms of learning speed and efficiency while maintaining the clustering performance similar to that of the clustering algorithm K-means. The most optimized number of clusters was derived from four, and the differences in session unit characteristics and purchasing rates were identified for each cluster. The online consumer visits the website several times and learns about the product and decides the purchase. In order to analyze the purchasing process over several visits of the online consumer, we constructed the visiting sequence data of the consumer based on the navigation patterns in the web site derived clustering analysis. The visit sequence data includes a series of visiting sequences until one purchase is made, and the items constituting one sequence become cluster labels derived from the foregoing. We have separately established a sequence data for consumers who have made purchases and data on visits for consumers who have only explored products without making purchases during the same period of time. And then sequential pattern mining was applied to extract frequent patterns from each sequence data. The minimum support is set to 10%, and frequent patterns consist of a sequence of cluster labels. While there are common derived patterns in both sequence data, there are also frequent patterns derived only from one side of sequence data. We found that the consumers who made purchases through the comparative analysis of the extracted frequent patterns showed the visiting pattern to decide to purchase the product repeatedly while searching for the specific product. The implication of this study is that we analyze the search type of online consumers by using large - scale click stream data and analyze the patterns of them to explain the behavior of purchasing process with data-driven point. Most studies that typology of online consumers have focused on the characteristics of the type and what factors are key in distinguishing that type. In this study, we carried out an analysis to type the behavior of online consumers, and further analyzed what order the types could be organized into one another and become a series of search patterns. In addition, online retailers will be able to try to improve their purchasing conversion through marketing strategies and recommendations for various types of visit and will be able to evaluate the effect of the strategy through changes in consumers' visit patterns.

• Journal of Fashion Business
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• v.25 no.3
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• pp.17-35
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• 2021

The purpose of this study was to analyze the different consumption patterns of fashion products according to the demographic characteristics and religious variables of Muslim women in Indonesia. The research method consisted of a questionnaire, which surveyed Muslim women in Indonesia, whose ages ranged from teens to 40s. The final questionnaire made use of 301 responses, and the analysis methods included 𝛘²-testing, factor analysis, and ANOVA. The results of this survey are as follows: For differences in average monthly clothing purchase costs, there were significant differences according to age, monthly income, final education, and whether or not the respondent wore a hijab, but there was also significant difference according to marital status and religious faithfulness. Muslim women's clothing purchasing factors were practicality, visibility, fit-to-wear, and design. In terms of the differences in factors which were considered when purchasing clothing, they depended on whether or not the respondent was married, practicality and visibility according to age, visibility according to final education, and religious faithfulness. There were significant differences in practicality and visibility, but not according to monthly income. When accounting for the differences in the places where Muslim women bought fashion products, there were significant differences according to marital status and age. In terms of the differences in reasons for choosing a place of purchase, there were significant differences according to age, monthly income, final education, and the degree of hijab wearing.

• Journal of Fashion Business
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• v.8 no.1
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• pp.34-48
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• 2004

The purpose of this study is to explore emotion aspects of consumers purchasing clothing through cable television home shopping. Qualitative research method is used to widely understand how emotion aspects of consumers have effected on their purchasing behavior. The results of depth interviews may be classified into 13 feelings factors satisfaction, pleasure/delight, respect, attraction, fresh, convenience, unburdened, emptiness, displeasure/temper, anxiety, tedious, distrust, regret. The content of information acquiring from the process of clothing purchase decision making is analysed. In the problem recognition stage, purchase motivation were physical space (around people) and imaginary space(by how clothing goods are introduced to consumers thorough TV monitor). In the information search stage, purchasing action patterns to search information were situational pattern and habitual pattern. In alternative evaluation stage, the considering best important factors to choice clothes were quality, price, design, and color. In purchase stage, consumers said they felt anxiety, because of characteristics of purchase way that they should pay first and then received the ordered goods a fews days later. In post-purchase behavior stage, if consumers satisfied goods purchased through TV home shopping, they recommended it to around others, but unsatisfied with ordered goods, they tried to refund, exchange with anther one, or write it on homepage of the home shopping company.

• Fashion & Textile Research Journal
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• v.6 no.1
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• pp.23-31
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• 2004

The purpose of this study is to analyze the satisfaction, practical use, preference in design and recognition of the Saenghwalhanbok in the adult females living in Gyeongnam province. The data used for this study were collected by questionnaires and 420 questionnaires were used for statistic analysis. The data were analyzed by using the SPSS 8.0 to perform the ANOVA, $X^2$-test, t-test. The results of this study can be summarized as follows; Most women have Saenghwalhanbok for wearing in festive days. who showed good impression on the Saenghwalhanbok is high-educated people, and high-incommer showed positive preference as well. The color of blouse and skirt is different each other. The most preference color is soft color. The purchasing behavior on the Saenghwalhanbok was verified that there are planning of purchase because of convienience in wearing. The primary reason for not buying Saenghwalhanbok is price. So the goods of various level of price should be prepared, and the preference factors of purchasing for younger ages were color, patterns and design, and for old ages were quality of clothes, colors and patterns. Major application of the Saenghwalhanbok was found that wearing for festive days as it is Korean traditional costume.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.34-46
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• 2005

The purpose of this study was to research buying behavior and home fashion preferences based on housing size. The target consumers were Korean women, aged 20~40s who reside in the Seoul & Kyunggido areas. We distributed questionnaires to 650 women. However, only 600 questionnaires were used for the statistical analysis. Data analyses were conducted with SPSS program on the frequency, Chi-square test, cluster analysis, t-test and ANOVA. The results of this study are as follows: 1. The considering factors for purchasing such as brand, trends coordinating existing furnishings with new products and functionality were significantly associated with housing size. The buyers who reside in bigger size homes. over 40 pyung place higher value on brand name, trends. or coordinating existing furnishing with new products than residents in smaller units. However, women who live in smaller units place higher value on functionality when purchasing home fashion products. Considering factors such as brand, trend, and materials were also significantly associated with segmented age group; 40~49 age group considered brand, trend, and materials more than 20~29 age group. The group who are highly interested in home fashion considered design/color, rand, coordination, and functionality than the group who are low interested in home fashion. 2. Residents in over 40 pyung homes buy home fashion products at department stores, while residents in less than 39 pyung homes buy them at discounted store. 3. Respondents preferred solid colors more than patterns. However, they favored character pattern for textile bedding products for their children. 4. there is also a statistical difference in preferences for types of window treatments between large ad small housing sizes. Residents living in over 40 pyung preferred tie-back/cottage curtain, while residents living in less than 29 pyung preferred Roman shade style.