• The Research Journal of the Costume Culture
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• v.31 no.5
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• pp.607-626
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• 2023

This study analyzes consumer fashion purchase patterns from a big data perspective. Transaction data from 1 million transactions at two Korean fashion brands were collected. To analyze the data, R, Python, the SPADE algorithm, and network analysis were used. Various consumer purchase patterns, including overall purchase patterns, seasonal purchase patterns, and age-specific purchase patterns, were analyzed. Overall pattern analysis found that a continuous purchase pattern was formed around the brands' popular items such as t-shirts and blouses. Network analysis also showed that t-shirts and blouses were highly centralized items. This suggests that there are items that make consumers loyal to a brand rather than the cachet of the brand name itself. These results help us better understand the process of brand equity construction. Additionally, buying patterns varied by season, and more items were purchased in a single shopping trip during the spring season compared to other seasons. Consumer age also affected purchase patterns; findings showed an increase in purchasing the same item repeatedly as age increased. This likely reflects the difference in purchasing power according to age, and it suggests that the decision-making process for pur- chasing products simplifies as age increases. These findings offer insight for fashion companies' establishment of item-specific marketing strategies.

• Culinary science and hospitality research
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• v.14 no.4
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• pp.257-268
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• 2008

The purpose of this study was to conduct factor analysis on Foodservice consumers' lifestyle patterns in dietary life, classify lifestyle patterns, and identify how lifestyle patterns influence the 5 stages of decision making process for purchase. Among 300 copies of the distributed questionnaire, 259 copies were collected for this study. It used a total of 283 copies as the effective samples for empirical analysis except 12 copies with false entries among them. For data analysis, it conducted frequency analysis, validity and reliability analysis, factor analysis, and multiple regression analysis using SPSS 12.0. As a result, Hypothesis 1 was significant while Hypothesis 2, 3, and 5 were partially significant. On the contrary, Hypothesis 4 was not significant. Therefore, lifestyle patterns had partially significant effects on decision making process for dining-out purchase. This study subdivided dining-out consumers' lifestyles which were limited to dietary life, and also subdivided decision making process for dining-out consumers' dining-out purchase into five stages. It is significant and very suggestive that this study identified what lifestyle patterns concretely had significant effects on the specific decision making stage. In the future, the researches on adolescent class and silver class should be executed continuously.

• The Research Journal of the Costume Culture
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• v.32 no.2
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• pp.199-214
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• 2024

Until now, research on consumers' purchasing behavior has primarily focused on psychological aspects or depended on consumer surveys. However, there may be a gap between consumers' self-reported perceptions and their observable actions. In response, this study aimed to investigate consumer purchasing behavior utilizing a big data approach. To this end, this study investigated the purchasing patterns of fashion items, both online and in retail stores, from a data-driven perspective. We also investigated whether individual consumers switched between online websites and retail establishments for making purchases. Data on 516,474 purchases were obtained from fashion companies. We used association rule analysis and K-means clustering to identify purchase patterns that were influenced by customer loyalty. Furthermore, sequential pattern analysis was applied to investigate the usage patterns of online and offline channels by consumers. The results showed that high-loyalty consumers mainly purchased infrequently bought items in the brand line, as well as high-priced items, and that these purchase patterns were similar both online and in stores. In contrast, the low-loyalty group showed different purchasing behaviors for online versus in-store purchases. In physical environments, the low-loyalty consumers tended to purchase less popular or more expensive items from the brand line, whereas in online environments, their purchases centered around items with relatively high sales volumes. Finally, we found that both high and low loyalty groups exclusively used a single preferred channel, either online or in-store. The findings help companies better understand consumer purchase patterns and build future marketing strategies around items with high brand centrality.

• Journal of the Korean Home Economics Association
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• v.32 no.5
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• pp.67-82
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• 1994

The major purpose of this study was to find the influencing factors in explaining information search patterns and to find if significant differences exist in search outcomes by search patterns. The data for this study were collected in a survey conducted in March of 1993. The final sample consisted of 327 respondents purchased refrigerator 340 purchased bed. The important findings of this study are as follows: First The variables related to search cost-benefit play an important role in identifying search patterns of consumers. Second search outcomes were different among four information search patterns for each of information sources. The overall search outcomes the level of purchase knowledge and of post-purchase satisfaction was relatively high for high-search and high-reliance group compared with other groups. And the results also indicate that although some consumers search less than others they still can make good purchase decision-making and can maximize their utility if they choose useful information sources selectively and use those selected information sources effectively. The findings of this study provide some implications regarding consumer education programs the consumer information providing policies and future research methods.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.1
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• pp.25-36
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• 2001

The purpose of this study were to investigate the purchase influence of teenagers in the family by examining the evaluation of market value according to their clothing purchase style. The questionaire survey was carried out 572 high school, and middle school students in Seoul region in Feb., 2000. SPSS package program was used to analyze the gathered data. The results of the research were as follows: 1. Four types of family communication patterns were identified through cluster analyses: laissez-faires, protectives, pluralistics, consensuals. 2. Market values were classified into seven dimensions by factor analyses: user value-psychological value, performance value; payer value-payment convenience value, price value; buyer value-personalization value, service value, purchase convenience value. 3. Independent purchase was evaluated higher than joint purchase for the price value and psychological value, while joint purchase marked higher than independent purchase for the performance value, payment convenience value, service value and purchase convenience value. And there were some differences in the results of evaluation among the family communication patterns.

• 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 the Korea Fashion and Costume Design Association
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• v.13 no.2
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• pp.47-62
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• 2011

The purpose of this study was to investigate the knitwear preferences and purchase behaviors of university students. The subjects were 493 university students in Daejeon and Chungnam Provinces. The method of this study was a survey and measurement instruments were 34 stimuli which were manipulated pullover patterns and shapes and self-administrated questionnaire with knitwear design preference items and knitwear purchase behavior items. Data were analyzed by factor analysis, frequency analysis, Cronbach'${\alpha}$, t-test, ANOVA and $Sch{\acute{e}}ffe$ test using SPSS program. The results of the study were as follows. First, university students most preferred achromatic colors, pastel tones, solid patterns, and 100% cotton. Second, as for knitwear purchase behaviors, university students considered the esthetical factor to be most important among 4 dimensions (comfortable, esthetical, economical, and conspicuous factors) as important purchase criteria, and they used internet web sites for knitwear purchases. Third, there were significant differences in preferred pullover shape depending on neckline shape, neck depth, sleeve shape and clothing length. University students preferred the classic pullover design with V neckline, normal neck depth, set-in sleeves and normal length. Fourth, university students preferred the cloud motif and riding man motif among the 9 Baekje traditional motifs and one point small pattern on the left chest and crosswise bending pattern for pattern arrangement.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.6 s.154
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• pp.961-970
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• 2006

This study attempted to understand post-purchase consumer return experiences which had not received much attention in consumer behavior research. As a first step to understand return experiences from consumers' viewpoint, the study took an exploratory approach and identified themes and patterns from subjective consumer experiences. Whenever possible, attribution theory was applied to interpret the identified patterns. A total of 99 cases were collected from an open-ended questionnaire and analyzed based on a qualitative method. The reasons of product return was classified into five groups: changing mind; product defects; unsuitable products; products not expected; and for a better deal. External attribution was observed for return decisions caused by consumers' changed mind as well as by product defects. Dissatisfaction with defected products seemed to be intensified or reduced by service failure or success in the post-purchase service encounter. Consumer expectation and situations seemed to affect this process. Overall, the study supported attribution theory in the post-purchase return experience, and insights for research questions were proposed.

• Journal of the Korean Dietetic Association
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• v.24 no.3
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• pp.246-260
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• 2018

This study examined the customers' perception on Home Meal Replacement (HMR) products. Specifically, there were three research objectives: 1. to identify the customers' HMR purchase patterns and preference of HMR product development; 2. to identify the attributes of the HMR products that the customers perceive; and 3. to examine the customers' level of expectation-confirmation toward HMR product attributes according to the demographic characteristics. This study employed a self-administered survey that was distributed online from November 21~24, 2017. The sample of the study was the customers who had purchased HMR products in the six months prior to taking the survey. A total of 553 respondents completed the survey, which was used for data analysis. The results revealed the customers' HMR purchase patterns. The major HMR product type of purchase was ready to heat (52.6%), while the main reason for purchasing HMR products was convenience (83.2%). For the differences in the level of expectation-confirmation toward HMR products in accordance with the demographic characteristics of customers, the results indicated that there was a difference in the expectation-confirmation level according to age, whereas the respondents aged 29 and under showed a significantly higher level of time-saving for the preparation and ease of cooking (P<0.05) than the other age groups. In addition, there was a significant difference in the expectation-confirmation level for saving meal preparation time (P<0.05) and convenience (P<0.01) among the customer's occupation. These findings can provide the basis for a strategy for developing HMR products reflecting the rapidly changing customers' needs. HMR products should be developed according to the specific target market, as the study indicated that the respective customer segmentation resulted in a difference in their expectation toward HMR products.

• Culinary science and hospitality research
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• v.9 no.4
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• pp.152-162
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• 2003

The study is aimed to find out the factors which have influence on customers' satisfaction from information and prompt them to repurchase, based on the patterns of information seeking which vary according to categories of traditional eating out processed food. 500 housewives living in megalopolis whose age ranges from 20s to 50s are targeted to the research, and the self-report questionnaires were used. and also the analysis on the frequency, t-test, and multiple regression were taken. The summarized conclusion is as following: First, in terms of the patterns of information seeking, consumers, in general, are found more likely to be internal seekers, who seek information based upon their past experience, rather than to be external seekers. Second, the comparison of satisfaction after purchase of the groups categorized by the patterns of information seeking shows that, in terms of traditional eating out processed food, on the contrary to other products, the satisfaction of internal seekers is higher than that of external seekers. Third, in both groups of internal seekers and external seekers, purchase assessment and the evaluation of efforts for information seeking are found to have influence on the intention to repurchase in terms of information seeking, but the influence of used information evaluation is partial.