• Fashion & Textile Research Journal
• /
• v.15 no.3
• /
• pp.393-405
• /
• 2013

This study considers the effect of smartphone involvement for purchase intentions in fashion shopping malls based on mobile web apps and on PC web apps; in addition, it investigates the correlation between purchase intention in fashion shopping malls (based on activated PC web apps) and those of fashion shopping malls (based on newly created mobile web apps). The results of this study are: First, the analysis of smartphones factors showed that smartphones consist of 6 kinds of dimensions of 'appearance involvement', 'time and information search involvement', 'application involvement', 'entertainment involvement', 'communication involvement', and 'transaction involvement'. Second, the higher the entertainment and transaction involvement among descriptive variables for smartphone involvement were due to the positive responses displayed towards fashion shopping mall purchases based on mobile web apps. Third, a higher application and entertainment involvement in the descriptive variables for smartphones resulted in a positive response displayed for purchases in fashion shopping malls based on PC web apps shown in a regression analysis that verified the smartphone and purchase intention relationship in fashion shopping malls based on PC web apps. Fourth, consumers with high purchase intention in the existing PC web app based fashion shopping malls were shown to have a high purchase intention in mobile web app based fashion shopping malls due to the results of a correlation analysis that analyzed the relationship between purchase intention in PC web app based fashion shopping malls and mobile web app based fashion shopping malls.

• The Journal of Industrial Distribution & Business
• /
• v.9 no.12
• /
• pp.31-43
• /
• 2018

Purpose - Smartphone shopping malls provide customers with a variety of tangible and intangible services including web sites, web design, use convenience, information for products and shopping and various after services. Accordingly, it is needed to expand and classify service qualities based on the various services provided by smartphone shopping malls, and then analyze path structures of smartphone shopping malls' qualities → customer satisfaction → behavioral intention. The purpose of this study is to categorize the qualities of smartphone shopping mall users based on the e-SERVQUAL by Lee(2002) and the SERVQUAL by Parasuraman et al.(1988, 2005), the smartphone shopping malls' service qualities based on service quality of smartphone shopping malls used in the previous use studies, and the Website quality factors of service industry and to analyze path structure of smartphone shopping mall's qualities → customer satisfaction → behavioral intention on college students in order to confirm the system of smartphone shopping malls' qualities. Research design, data, and methodology - This study's survey was carried out on the college students of university located in northeastern of Seoul. It was from December 7 - 15, 2017, and a total of 240 questionnaires were distributed, with 228 collected. Of them, effective questionnaires used in the final study were a total of 201 except 27 that couldn't be used. In this study, empirical analysis was done with factor analysis, correlation analysis, multiple regression analysis, simple multiple regression analysis and moderating regression analysis by using Statistics Package SPSS18.0. Results - The study results are as follows: First, smartphone shopping malls' qualities were classified into six categories like customer system quality, Web design quality, convenience quality, information-offering quality, service quality, and product quality. Second, it showed that system quality, Web design quality, and information-offering quality had a positive impact on customer satisfaction, respectively. Third, it suggested that quality factors of smartphone shopping mall users had a positive impact on customer satisfaction in the order of quality, information-offering quality, system quality and Web design quality. Finally, it showed that customer service quality, product quality, and convenience quality did not have a positive impact on customer satisfaction. In addition, it said that customer satisfaction of smartphone shopping mall users had a positive impact on behavioral intention and thereby, the higher the customer satisfaction was, the higher the relations between reuse intention and recommendation intention were. Meanwhile, moderating regression analysis showed that trust did not have moderating effect in the relations between customer satisfaction and behavioral intention. The above study revealed that smartphone shopping malls' qualities were classified into six categories and it was possible to generalize after empirical analysis was made in the path structure. Conclusions - Smartphone shopping mall users consider usefulness of obtaining shopping information and quality on quick and abundant shopping information more important than access environment of smartphone shopping malls and kind services of smartphone shopping mall managers. Thereby, smartphone shopping mall marketers need to take service qualities like system quality and information-offering quality into more consideration.

• The Journal of Society for e-Business Studies
• /
• v.4 no.1
• /
• pp.21-36
• /
• 1999

Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

• Journal of the Korean Home Economics Association
• /
• v.44 no.5 s.219
• /
• pp.109-118
• /
• 2006

The purpose of the study is to analyze web-site content for activating internet apparel shopping malls. With a view to improving the transaction experience and efficiency for both shopping-mall managers and customers. According to RANKEY(rankey.com) and 100 HOT RANHNC(100hot.co.kr), 5 big internet apparel shopping malls were chosen, divided into 3 web-site criteria of Users' Interface Section, Informational Section, and Customer Satisfaction Section, and analyzed. The results of our analysis of the web-site contents are as follows: 1) Concerning Users' Interface Section, the structure of the first screen is complicated and confusing. 2) Concerning Informational Section, the specific image of shopping man is ambiguous to understand and differentiated product information is not properly given. 3) Concerning Customer Satisfaction Section, the customers are not encouraged to show any interest in the shopping mall. These three problems are easily observed in most of the internet apparel shopping malls. To develop the internet apparel shopping mall, the following methods to activate them need to be implemented.

• The Research Journal of the Costume Culture
• /
• v.22 no.5
• /
• pp.655-669
• /
• 2014

This study was to examine the service and the product evaluation factors of Korean internet fashion shopping malls and to suggest marketing implications for Korean internet fashion shopping malls wanting to expand into the Chinese market. This study conducted a questionnaire survey for college female students in Qingdao, China, who have shopped at Korean internet shopping malls, and 310 surveys were used in the final analysis, frequency analysis, factorial analysis, and regression analysis. The results of the study were as follows. First, Most of the respondents answered that they found the Korean internet fashion shopping malls through the internet, and the most purchased item was outer clothing. Second, the system stability and web site structure excellence factors had a positive influence on the service satisfaction for the shopping mall 'S', while the system satisfaction, service efficiency, interactivity and web site structure excellence factors had positive influences on service satisfaction for the shopping mall 'P', and the system satisfaction, service efficiency, interactivity factors had positive influences on service satisfaction for the shopping mall 'N'. Third, examining the correlation between product satisfaction for the shopping mall 'S', 'P', and 'N' with fashion product evaluation factors showed that, design factors and quality excellence factors of the three shopping malls had positive influences on product satisfaction. The results of this research provide useful information in forming an efficient operating system and improving marketing strategies for internet fashion shopping malls planning to enter or having already entered the Chinese market.

• Journal of the Korean Society of Costume
• /
• v.57 no.9
• /
• pp.149-160
• /
• 2007

The purpose of this study was to investigate effects of service qualities and consumption emotion on consumer satisfaction of internet fashion shopping malls. Data were obtained from 304 internet fashion shopping mall consumers who have bought fashion products or visited an internet fashion shopping mall. Questionnaires related to service quality, consumption emotion, consumer satisfaction. For analysis of data, exploratory factor analysis, confirmatory factor analysis, path analysis were applied. The results were as follows: 1. The service quality dimensions of internet fashion shopping malls were reliability, merchandise variability, web-design, communication and safety. The consumption emotion dimensions were classified as positive emotion and negative emotion. 2. The service quality of internet fashion shopping malls and the consumption emotion had an effect on consumer satisfaction of internet fashion shopping malls. The dimensions of communication, merchandise variability of the service quality in internet fashion shopping malls had an effect on positive emotion. Safety, reliability of the service quality had an effect on negative emotion. Both positive emotion and negative emotion of the consumption emotion dimensions had an effect on consumer satisfaction of internet fashion shopping malls.

• The Journal of Information Systems
• /
• v.10 no.1
• /
• pp.279-301
• /
• 2001

This study was examined empirically the relationship between exogenous and endogenous variables to use internet shopping malls. Exogenous variables in our model are retrieval simpleness, quality of order treatment, web reputation, update and system quality and endogenous variables are perceived usefulness, perceived ease of use and intention of using internet shopping malls. The results of the path analysis are shown as follows. All exogenous variables have a direct effect on perceived ease of use while both retrieval simpleness and update has a direct effect on perceived usefulness. The perceived ease of use has a direct effect on the intention of using internet shopping malls and has a indirect effect on the intention through perceived usefulness. Especially, web reputation among the exogenous variables has the strongest impact on the perceived ease of use and retrieval has the strongest impact on the perceived usefulness.

• Korean Management Science Review
• /
• v.18 no.1
• /
• pp.55-68
• /
• 2001

A virtual shopping mall is like a real-world mall, supports electronic shopping by selling products or services through Interne. Although increasing numbers of products are being marketed on the Web, little efforts has been spent on evaluating what mall is more suitable for marketing electronically and for protecting consumers. Evaluation of virtual shopping malls is regarded as a major task in business-to-consumer electronic commerce. This paper considers the Analytic Hierarchy Process(AHP) method in the evaluation of virtual shopping malls and provides its applications. The AHP is a systematic procedure for representing the elements of any problem, hierarchically. A series of pairwise comparison judgments is performed to express the relative strength or intensity of impact of the elements in the hierarchy. The AHP model hierarchy consists of the four following levels: decision maker, main criteria, sub-criteria, and virtual shopping malls. the main criteria include the state of physical firms, representation of information on the virtual shopping malls, product or service, convenience for shopping, consumer protection, and consumer service. The total number of sub-criteria in the third level is twenty-nine. All decision makers selected belong to virtual shopping mall enterprises, or universities. As a case study, we show the synthesized priority of the five virtual shopping malls that have acquired an E-Trust mark. Finally a sensitivity analysis shows how well each virtual shopping mall performs on each criterion by increasing or decreasing the importance of the main criteria.

• Journal of Distribution Science
• /
• v.10 no.8
• /
• pp.35-43
• /
• 2012

This study is designed to collaboratively investigate the influences of the characteristics of Internet shopping malls and the shopping traits of their users involved in e-commerce on shopping intention. With this in mind, the researchers take a look at the influences of such features of shopping malls on the web as the quality of the system, customer-support service, shopping-mall perception and security, the users' propensity to pursue pleasure and pragmatic interest on shopping intention. The study shows that all the variables suggested here have an influence on the purchase intent of Internet shopping-mall users. That is, this study cannot analyze how the purchase intent of the customers with regard to the features of Internet shopping malls has changed. Therefore it is necessary to conduct procedural researches taking longitudinal studies into consideration.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.1
• /
• pp.1-9
• /
• 2012

It is well known that internet shoppers are very sensitive to sale prices. They visit the various shopping malls and collect the product information including purchase conditions for goods purchase decision-making. Recently the necessity of information support is increasing because of increase of information amount which is necessary and complexity of goods purchase decision-making process. The comparison shopping agent systems have provided price comparison information which is collected from various shopping malls to satisfy internet shoppers information craving. But the frequent price change caused by keen price competition is becoming the primary reason of information quality decline among price comparison sites. RSS which is a family of web feed formats used to publish frequently updated is applied even in on-line shopping malls. This paper develops a RSS product information collection system to get real-time product information. The proposed product information system consists of (1) web crawler module for searching RSS feed shopping malls automatically, (2) RSS reader module for parsing product information from RSS feed file, (3) product DB and (4) product searching module. Performance of the proposed system is higher than the comparison shopping agent systems when it is defined with the volume of collecting product information per unit time.