At the end of April, 2009, the number of mobile phone users reached about 46 million in Korea. Consequently, the mobile shopping market is growing rapidly, and fashion products are one of the most concerned categories in mobile shopping market. In the meantime, the growth rates of domestic fashion industry and fashion retail market are forecasted very slow. In this situation, however, the growth rate of on-line shopping market including internet shopping, TV home shopping, and mobile shopping is estimated more than 12% per year until 2010. Particularly, mobile shopping area is forecasted the most rapid growing field. The objective of this study were to confirm the factors which had influences on mobile fashion shopping and to examine the effects of these factors affect the attitude toward mobile fashion shopping and the using intention of mobile fashion shopping. With the results, marketing strategies for mobile fashion shopping companies would be proposed. Date were gathered from 125 respondents of 20's and 30's females and were analyzed by AMOS 7.0. The key points of the results are; 1) The 5 factors of instant access, individualization, amusement, usefulness and ease of use which extracted from preceding researches were confirmed as the characteristics of mobile fashion shopping, 2) among these factors, amusement and usefulness had positive influences on the attitude toward mobile fashion shopping, 3) reliability on mobile fashion shopping didn't had an influence on the attitude toward mobile fashion shopping significantly, but had a positive influence on the using intention of mobile fashion shopping directly, and 4) the attitude toward mobile fashion shopping affects using intention of mobile fashion shopping positively. With these results, mobile fashion shopping companies can establish marketing strategies from various angles.

Purpose: The purpose of this study is to review the previous studies on the characteristics of the image search service provided by using artificial intelligence, the social impact characteristics, and the moderating effect of perceived anthropomorphism, and conduct empirical analysis to identify the constituent factors affecting purchase intention. To clarify. Through this, I tried to present theoretical and practical implications. Research design, data, and methodology: Research design was that characteristics of image search service (ubiquity and information quality) and social impact characteristics (subjective norms, electronic word of mouth marketing) are affected by mediation of satisfaction and flow, therefore, control of perceived anthropomorphism have an effect on purchase intention to increase. For analysis, research conducted literature review, and developed questionnaires, so that EM firm which is a specialized research institute has collected data. This was conducted on 410 people between the 20s and 50s who have mobile shopping experiences. SPSS Statistics 23 and AMOS 23 had been used to perform necessary analysis such as exploratory factor analysis, reliability analysis, feasibility analysis, and structural equation modeling based on this data. Results: first, ubiquity, information quality and subjective norms were found to have a positive effect on purchase intention through satisfaction and flow parameters. Second, satisfaction and flow were found to have a mediating effect between ubiquity, information quality, and subjective norms and purchase intentions. However, there was no mediating effect between eWOM information and purchase intention. Third, perceived anthropomorphism was found to have a moderating effect between information quality and satisfaction, and it was found that there was no moderating effect on the relationship between information quality and flow. Conclusions: The information quality of image search services using artificial intelligence has a positive effect on satisfaction, and it has been found that there is a positive moderate effect of perceived anthropomorphism in this relationship, which may be an academic contribution to the distribution science utilizing artificial intelligence. Therefore, it is possible to propose a distribution strategy that improves purchase intention by utilizing image search service and anthropomorphism in practical business and providing a more enjoyable immersive experience to customers.

Purpose : The purpose of this study is to examine the effect of the attributes of mobile shopping apps on the purchase intention of fashion products in the steadily growing mobile commerce market and analyze the mediation effect of shopping flow. Research design, data and methodology : In this study, a survey was conducted on users in their 20s to 50s who had experience of fashion products via mobile shopping apps. The questionnaire was analyzed on the final 507. The research issues were verified using Frequency analysis, Exploratory factor analysis, Reliability analysis, Confirmatory factor analysis, and Structural equation model. Results : Among the attributes of mobile shopping apps, reliability, enjoyment and ease of use were found to have a significant impact on shopping flow and fashion product purchase intention, while shopping flow had a significant impact on fashion product purchase intention. Product diversity and usefulness of shopping apps didn’t show a significant effect. After examining the mediation effect, reliability, enjoyment, and ease of use were shown to have indirect effects by showing partial mediation effects. Conclusions : Studies show that consumers are not putting much emphasis on how diverse a product line is available and how useful a mobile shopping app is when they shop for fashion products on mobile devices. Factors that affect consumers’ purchase intention are reliability, enjoyment and ease of use of shopping apps. These results shows that it is important to provide reliable information about fashion products, provide reliability to customers by setting up means for safe transactions, and provide a wider variety of services and information to make using the mobile shopping app enjoyable. In addition, there is a need to make it easy to find a fashion product that consumers like and make it easy to purchase when consumers find out fashion products that they like, and to configure how to use the app easily. Consequently, consumers become immersed in shopping which is also able to improve consumers’ purchase intention on fashion products when a reliable, enjoyable and easy to use mobile shopping app is provided.

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.

Purpose – The study aims to investigate empirically the effects of the flow of an Internet shopping mall upon consumers' revisit intention and purchase intention. Research design, data, and methodology – The subjects comprised customers of Internet shopping malls. SPSS 19.0 for Windows was used to verify the models and hypotheses. Frequency, factors, reliability, and regression analysis were used. Results – This study classified flow behavior factors of Internet shopping malls into four categories-skills, convenience, design, and mutual reaction-to investigate their influence on flow. Skills and convenience had a greater influence than mutual reaction and design. The flow was most influenced by convenience, followed by skills. Conclusions – First, the subjects comprised those who had made purchases at least once at an Internet shopping mall. Second, the study applied the common flow attributes of past researchers to the Internet shopping mall environment, to gauge customers' e-commerce involvement. Third, skill, convenience, and shopping mall display design affirmatively influenced the computer-mediated environment from the Internet marketing control implications perspective regarding the contents of the marketer’s website.

This study deals with shopping value and trust as the factors to influence consumer attitude and purchase intention in online shopping. Utilitarian and hedonic shopping values, trust, attitude and purchase intention are incorporated into the Value-Attitude-Behavior model to find out how differently shopping values and trust influence online shoppers attitude and purchase intention when they have different purchase experiences. Data are collected from survey of 187 subjects and divided into two groups according to their online purchase experiences : 97 shoppers with low online purchase experiences and 89 with high experiences. PLS(Partial Least Square) method is applied to estimate the research model and to test 7 hypotheses. The results show the difference of the way how shopping value and trust influence purchase intention. In the case of low experienced online shoppers, trust has the greatest influence purchase intention, followed by hedonic shopping value mediated by attitude. However utilitarian shopping values have a bigger impact on it for shoppers with high purchase experiences. In the latter, trust also has a significant impact on purchase intention at confidence level of 0.05. The results also provide useful implications for practitioners to build and manage their marketing strategies. Managers of online shopping mall should react to the different shopping value by shopper's experience.