• The Research Journal of the Costume Culture
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• v.16 no.4
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• pp.696-708
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• 2008

The purpose of this study was to examine the relationship among Shopping Orientation, Shopping-mall characteristics, Consumer Satisfaction, and Loyalty in online market. Data were collected from 405 adult women and analyzed by factor analysis, cluster analysis, ANOVA and Duncan test using by SPSS 12.0. The results showed that recreation shoppers to buy the cosmetics in online market, were more likely to perceive the shopping mall characteristics, information, check-out convenience, and product price of shopping mall than the other shoppers. Both brand oriented shoppers and economic oriented shoppers were more likely to perceive information offered at newsletters and e-mail of Internet shopping mall. Additionally, the more active shoppers were the more satisfied and the greater loyalty at online shopping mall of cosmetics. Implications are drawn for the information useful marketer and retailers of the online shopping mall of cosmetics.

• The Korean Fashion and Textile Research Journal
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• v.15 no.1
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.

• The Journal of Society for e-Business Studies
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• v.3 no.1
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• pp.95-115
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• 1998

The growth of the internet shopping mall has led to a critical mass of consumers and firms participating in a global online marketplace. This study is devoted to providing a conceptual framework for describing and analyzing the characteristics of internet shopping mall. We proposed a model which classifies internet shopping mall into four types, including (1) general intermediary (2) general direct-sales (3) specialized intermediary (4) specialized direct-sales. Our framework facilitates greater understanding of the internet shopping mall as commercial medium and allows examination of internet shopping mall in terms of the opportunities and challenges firms facing online business.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.3
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• pp.163-173
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• 2024

This study aims to establish an online shopping mall marketing strategy based on big data analysis methods. The customer cluster analysis method was utilized to analyze customer purchase patterns and segment them into customer groups with similar characteristics. Data was collected from orders placed over one year in 2023 at 'Jeonbuk Saengsaeng Market', the official online shopping mall for agricultural, fish, and livestock products of Jeonbuk Special Self-Governing Province. K-means clustering was conducted by creating variables such as 'TotalPrice' and 'ElapsedDays' for analysis. The study identified four customer groups, and their main characteristics. Furthermore, regions corresponding to customer groups were analyzed using pivot tables. This facilitated the proposal of a marketing strategy tailored to each group's characteristics and the establishment of an efficient online shopping mall marketing strategy. This study is significant as it departs from the traditional reliance on the intuition of the person in charge to operate a shopping mall, instead establishing a shopping mall marketing strategy through objective and scientific big data analysis. The implementation of the marketing strategy outlined in this study is expected to enhance customer satisfaction and boost sales.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.4
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• pp.131-146
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• 2018

In this study, five women's fashion shopping mall companies were selected as the subjects based on the number of searches per month for analyzing website design of online shopping mall for women in their twenties. Design characteristics are divided into three aspects such as structural, visual, and customer service, and the results are as follow. First, from the structural perspective, the main navigation area and global navigation area of most shopping malls are arranged at the top center, and below them, the main image, the banner area, and the content area are arranged in order. Looking at the visual aspect, the logo is mostly written in a black text, the colors used on the main page were only one or two colors such as pink-based, gray-based, and red. Finally, from the customer service aspect, most shopping malls were encouraging buyers to place celebrity sponsorship, videos using products, self made products, and best products in the banner area. The results of this study are to present the direction of design for the founders who intend to operate the women' fashion shopping mall in future, and provide basic data for online shopping mall design research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.374-383
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• 2020

This study verified the difference in the influence on the value principles held by the consumers while examining the influence of the characteristics of the online shopping mall on the purchase intent by using a TAM2 model. First, the characteristics of online shopping malls were proven to have a positive effect on the perceived ease of use and perceived utility. Second, a look at the effect of the online shopping mall characteristics on the emotional response shows that only the system quality and product quality variables had a positive effect on the emotional response. Third, the perceived ease of use, perceived utility and emotional response of online shopping mall users had a positive effect on their perceived value. Fourth, multi-group analysis was conducted to examine the difference between utilitarian goods and hedonic goods by categorizing what was purchased at online shopping malls. The results showed differences between the groups. This study is attempted to investigate various influencing factors on consumers' intention to revisit online shopping malls. In addition, the author also attempted to understand the behavior of online shopping mall visitors by dealing with more than the technical attributes and emotional aspects of shopping malls.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.161-178
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• 2019

The purpose of this study is to analyze the effect of characteristics of the online shopping mall website and the service quality factors required on the online service on the reliability and repurchase intention. Through this, the key customer response service and operation management strategy can be proposed for the growth of kidult online shopping mall which is continuously spreading. Also, implications for development direction can be suggested. For this purpose, the ES-QUAL and E-Rec-S-QUAL factors proposed by Parasuraman et al.(2005) were set as independent variables, as well as professionalism, diversity, playfulness, and personalization, and website reliability as a mediating factor, and repurchase intention as a dependent variable. For the analysis, a structured questionnaires survey was conducted to 200 domestic online shopping mall users. The main results are as follows. First, the professionalism, personalization in the characteristics, and service quality factors had positive effects on website reliability. Second, playfulness, personalization in the characteristics, and service quality factors had positive effects on repurchase intention. Third, website reliability had a positive effect on repurchase intention. Fourth, website reliability was found to mediate the relationship between predictive (independent) variables and dependent variables. The above results show that if a professional online shopping mall is equipped with online service quality and establish personalization through enhancing the professionalism, the online shopping mall can form a website reliability and expect to build continuous relationship with customers. In addition, implications can be suggested for future customer response service and operation management strategies.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.137-148
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• 2020

While the diversity of consumer choices due to the increased information in the digital age is positive, there are also many problems with the information overload. There are even situations in which consumers can not make the best choices under the weight of information. The purpose of this study is to look at how information overload plays a role in influencing online consumer behavior. With factors related to characteristics of the shopping mall, the recognition of the mall, the quality of the mall, the composition of the shopping mall, and the purchase recommendation service were set to analyze how these variables change the behavior of online consumers when information overload appears. According to the analysis results, all of characteristic factors of shopping malls set up in this paper are analyzed to have a constant effect on the behavior of online consumers, and information overload also has a constant medium effect on the recognition of shopping malls, the quality and the structure of shopping malls, and the provision of purchase recommendation services. And characteristic factors of shopping malls are also showing positive effects on online consumer behavior in information overload situations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.87-97
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• 2020

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.793-806
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• 2015

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.