• Journal of Fashion Business
• /
• v.21 no.1
• /
• pp.124-133
• /
• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.18 no.2
• /
• pp.93-100
• /
• 2016

This paper aimed to provide the basic data on consumers' purchasing tendency required to start and operate online shopping malls on internet. The survey selected the female college students from 19 to 24 years old majoring fabric and fashion design in colleges in Gyeonggi-do. Total 283 questionnaires were selected for statistical analysis. The analysis results are presented below. The first online shopping was during the middle school times showing the highest responses as 63.54%, followed by high school times, college times and elementary school times in that sequence. Most female college students(97.88%) purchased goods from online shopping malls. The purposes of search in online shopping malls were 'need to purchase goods(47.18%)', 'habit/hobbies(27.57%)', 'need to collect data on goods(20.27%)' and 'to relieve stresses(4.98%)'. About 50% of respondents selected 'I visit mainly several online shopping malls. If there is no goods that I try to find, I search other sites and purchase what I want to buy(46.57%).' For the goods purchased from online shopping malls, everyday wears showed the highest ratio, 85.92%. About the time to purchase goods related to trends, most respondents selected 'purchase whenever it is necessary without respect to trends(87%).' Main considerations when the respondents purchased the goods from online shopping malls were 'design(64.98%)', 'price(18.41%)', 'quality(11.20%)', 'company recognition(2.53%)', 'color(1.44%)', and 'materials (1.44%)' in that sequence. 64.62% of respondents had the experience of returning goods after purchasing from online shopping malls. The reason why the respondents returned goods after purchasing from online shopping malls was mainly 'because of size(52.17%)', the response with the highest ratio. 42.24% responded that they experienced damage by washing the goods purchased from online shopping malls. It was found that the respondents didn't think about the country of manufacturing when purchasing goods from online shopping malls.

• The Research Journal of the Costume Culture
• /
• v.21 no.4
• /
• pp.467-477
• /
• 2013

Retailers deploy new shopping value-additions to induce customers to shop more, thus driving compulsive buying tendencies, which lead to increased profits for them. Customers display their ambivalence in purchasing a product either through instantaneous consumption, such as when following the latest fashion trends, or methodical decision making. The aim of this study is to investigate the influence of consumers' ambivalent attitudes toward various aspects (brand, store, price, trends, and product types) of clothing shopping on compulsive behavior tendencies. Compulsive buying tendencies were analyzed in terms of the shopping value group and demographic characteristics. For the empirical research, a questionnaire was used. Data from male and female clothing shoppers were analyzed. Consumers were segmented into ambivalent consumption group, emotional value consumption group, rationality consumption group, and indifference consumption group. Results indicate that ambivalent consumption groups showed significantly higher levels of compulsive behavior tendencies in terms of brand, store, price, trends, and product types than other groups. Females showed more compulsive buying tendencies than males. Single people showed more compulsive buying tendencies than married.

• The Journal of Economics, Marketing and Management
• /
• v.11 no.1
• /
• pp.21-30
• /
• 2023

Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

• Journal of the Korean Society of Costume
• /
• v.60 no.2
• /
• pp.114-129
• /
• 2010

The purpose of this study were to identify shopping orientation for fashion outlet consumers and its significance in influencing brand loyalty and shopping satisfaction. This study will propose results which help to better understand shopping orientation of fashion outlet consumers. A questionnaire was administered to 326 20s male and female living in Daegu Gyeongbuk during October of 2008. Data were analyzed by using Factor analysis, Reliability analysis, t-test and Regression analysis. The results of the research are as follows: First, The shopping orientation could be into 5 dimensions: pleasure tendency, fashion tendency, name brand tendency, prudence buying tendency, economic tendency. Brand loyalty were factor analyzed resulting three factors such as brand loyalty, brand care and brand knowledge. Brand loyalty factors of brand loyalty and brand knowledge had a positive effect on fashion tendency, name brand tendency. Brand care has a positive effect on name brand tendency and economic tendency. Second, Shopping satisfaction were factor analyzed resulting five factors such as product, store atmosphere, service store reputation, location convenience and price. Outlet product had a positive effect on fashion tendency, name brand tendency, prudence buying tendency and while all other factors showed a positive effect on preferences to follow trends. However, outlet price had a positive effect on only those consumers possessing a economic tendency.

• Journal of Internet of Things and Convergence
• /
• v.5 no.2
• /
• pp.7-13
• /
• 2019

As online shopping is activated by the development of the Internet, consumers' purchase form is changing from the traditional face-to-face purchase method to online purchase method. Many sellers have flowed into shopping malls, and competition among sellers is very intense. Therefore, sellers in shopping malls need to establish rational marketing strategies by analyzing consumer purchase patterns and product sales trends. In this paper, we analyzed the purchase price of consumers by analyzing the product price, rating, and sales quantity of competitors who sell the same product in open shopping malls by time zone. In addition, the collected information was visualized in a chart so that the company's and competitors' sales trends could be easily compared. Using the above system, it is possible to predict the sales volume through the analyzed purchasing pattern and to select the reasonable price of the product by grasping the sales trend.

• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.96-104
• /
• 2020

As consumers' consumption activities become more active due to the activation of online shopping malls, companies are conducting item trend analyses to boost sales. The existing item trend analysis methods are analyzed by considering only the activities of users in online shopping mall services, making it difficult to identify trends for new items without purchasing history. In this paper, we propose a trend analysis method that combines data in online shopping mall services and social network data to analyze item trends in users and potential customers in shopping malls. The proposed method uses the user's activity logs for in-service data and utilizes hot topics through word set extraction from social network data set to reflect potential users' interests. Finally, the item trend change is detected over time by utilizing the item index and the number of mentions in the social network. We show the superiority of the proposed method through performance evaluations using social network data.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.22 no.3
• /
• pp.139-153
• /
• 2020

Today, the proliferation of smart-phones and other mobile devices is bringing many changes to people's daily lives. Recently, the mobile shopping market has grown rapidly and has become a center of distribution. Furthermore, the consumer mobile fashion market is expected to expand and mobile fashion consumers' shopping tendencies will gradually become segmented. Differentiated marketing strategies for mobile fashion companies are to become essential. This study intends to understand the propensity of mobile fashion shopping and the importance of fashion app attributes, and their impact on mobile fashion shopping customer satisfaction and loyalty. The research aims to identify shopping trends and buying behaviors of mobile fashion consumers, find ways to increase mobile fashion shopping purchases, and help develop the mobile fashion market. The results of this study are summarized as follows. First, the compilation and the economics of the mobile fashion shopping propensity factors were shown to have a significant impact on product information, product reviews, and service quality, which are in turn important factors for fashion app attributes, whereas convenience only had a significant impact on service quality. Second, product information and service quality, which are also important factors for fashion app attributes, have a significant impact on mobile fashion shopping. Third, customer satisfaction concerning mobile fashion shopping has a significant impact on loyalty. Mobile fashion shopping customer satisfaction increases loyalty. Increasing the satisfaction and loyalty of mobile fashion shopping will lead to increased sales using mobile fashion shopping apps(Site) and become apparent in the results of mobile fashion companies. Therefore, various efforts by mobile fashion companies will be needed to satisfy their customers.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.7 no.1
• /
• pp.1-16
• /
• 2019

Purpose - For the development of fresh food shopping malls, consumers should continue to experience loyalty and favorability for the company's products or brands, and this should lead directly to purchase so that active word-ofmouth and recommendation should be encouraged. Therefore, the purpose of this study is to investigate the effect of e-service quality and e-ERM on e-loyalty with customer satisfaction and commitment as mediators. Research design, data, and methodology - This study was conducted by sample survey method on 320 online customers who have experience in using major online fresh food shopping malls for more than one year. Data analysis methods were frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation model analysis. Result - Hypothesis 1 through Hypothesis 7 were all supported. The results of this study suggest that e-service quality and e-CRM of online fresh food shopping malls have a significant effect on satisfaction and commitment. Therefore, the conclusion has been derived that the focus of this study, that such satisfaction and commitment have a significant effect on e-customer loyalty. has been supported theoretically and empirically. Conclusion - This study suggests that studies on customer loyalty based on activation commerce factors related to fresh food in online shopping malls will be an index that can reflect on customer's needs corresponding with future trends of not only online shopping malls but also offline shopping malls.

• The monthly packaging world
• /
• s.321
• /
• pp.85-88
• /
• 2020