• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.360-375
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• 2019

This paper tries to study the ecosystem after constructing the network of the continuing transactions associated with distribution industry with the data of more than 50 thousands firms provided by the Korean enterprise data (KED) for 2015. After applying the clustering method, one of social network analysis tools, we find the firms in the network grouped into 732 clusters occupying about 80% of whole distribution industry sales in KED data. The firms in a cluster have most of their transactions with other firms in the cluster. But the clusters have smaller firm numbers in the cluster and sales portion of the biggest firms in the industry than the case of the manufacturing industry. The Input-output analysis for the biggest distribution firms show that the small and medium size enterprise(SME)s have very high sale dependency on a main firm in some clusters. This fact implies more efficient fair transaction policies within the clusters. And small number of big distribution firms have very high rear production linkage effects on SMEs or on the 10th or 31th group with high portion of SME employment. They should be considered important in the SME growth and employment policies.

• Information Systems Review
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• v.20 no.4
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• pp.59-78
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• 2018

With the advent of the various device types and marketing communication, customer's search and purchase behavior have become more complex and segmented. However, extant research on multichannel marketing effects of the purchase funnel has not reflected the specific features of device User Interface (UI) and User Experience (UX). In this study, we analyzed the marketing channel effects of multi-device shoppers using a unique click stream dataset from global online retailers. We examined device types that activate online shopping and compared the differences between marketing channels that promote visits. In addition, we estimated the direct and indirect effects on visits and purchase revenue through customer's accumulated experience and channel conversions. The findings indicate that the same customer selects a different marketing channel according to the device selection. These results can help retailers gain a better understanding of customers' decision-making process in multi-marketing channel environment and devise the optimal strategy taking into account various device types. Our empirical analyses yield business implications based on the significant results from global big data analytics and contribute academically meaningful theoretical framework using an economic model. We also provide strategic insights attributed to the practical value of an online marketing manager.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.193-212
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• 2004

This study attempted to provide preliminary information for retailers to identify viable entertainment elements and to select and develop the optimal mix of entertainment elements for target consumer groups. The study examined consumer responses to various retail entertainment elements and analyzed differences in responses by consumer characteristics. The index of retail entertainment elements was developed with 49 items including entertainment facilities, dining facilities, retail, service facilities, store atmosphere, and marketing mix. The results from respondents' perceived excitement and visit intention for each entertainment element generally showed higher responses to basic marketing mix and store atmosphere elements rather than to entertainment and dining facilities. There were significant differences in responses by gender and age. The results imply that selection and application of retail entertainment elements need to consider target consumer characteristics.

• The Journal of Information Technology
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• v.7 no.4
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• pp.89-101
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• 2004

This study, Based on the study theories of up to the present was to a consumer's shopping motive, the process of choice and the theory of a consumer's store choice by his or her preference. It investigates the components of store image referring many thesis from documents of domestic and foreign countries. The major findings of from study an as follows: First, as general characteristics of samples, the component ratio of women is much higher than that of men. As for marital status, married consumers are large in numbers, and for educational back ground, high educated young couples go shopping frequently at department stores. As for ages, consumers under the 30s take great part in, for the occupation, many are housewives and for the average income of a month, under one million won income earners are major consumers. Second, about shopping motive, married ones do it for refreshing themselves, but for singles, they do shopping for the pleasure of bargain sales. The most important reason which influences on the shopping motive is 'pleasure of bargain sales' regardless of all ages. Third, according to the analysis of shopping motive and the characteristics of 15 store images, there are noteworthy differences statistically in shopping motive, attraction and reliance on advertisement, an atmosphere of a store and the degree of crowdedness.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2871-2877
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• 2015

Shopping patterns are changing with the emergence of SNS. Recently, it is also interested in providing the information based on the users' needs. Generally, the provided information is obtained from the history of users' simple browsing. Best selling hot item list is also provided in order to reflect the preferences of public users. However, the provided information is irrelevant to an individual preference. In this paper, we propose a method to utilize inner and outer SNS for analyzing public preferences about goods which are interested by individual users. The inner analyzing module collects and analyzes the preferences of community members about two goods designated by individual users. The outer analyzing module supports to analyze public preferences by using the tweeter SNS. The results of implementation show that it is possible to recommend goods based on the individual users' preferences unlike the existing shopping mall.

• Smart Media Journal
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• v.9 no.2
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• pp.63-68
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• 2020

One of the most important parts of the user experience in mobile device interaction is navigation design. Navigation design plays a key role in enabling users to perform their desired functions and to access the information and content they need by mobile applications. In this process, differences in cultural characteristics and backgrounds of users may affect the navigation design, and thus the user experience may represent a significant difference. This study compared the navigation design of popular mobile shopping applications in China and the United States to examine the differences and analyzed the reasons. Based on this comparison, we proposed that the Chinese preferred rich information, colorful images and various menu styles, while Americans preferred simple designs, layouts and limited types of menu. In addition, two types of mobile shopping application navigation design schemes reflecting cultural characteristics were evaluated to examine the difference of Chinese and American users' preference, and the validity of our study was verified based on the results.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1387-1396
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• 2008

The objective of this study was to identify differences between internet fashion shoppers and non-shoppers in their fashion shopping orientation and attitude toward internet shopping site service. Also behavior of internet shoppers and non-shoppers was compared by gender. Twelve hundred and ninety two responses were obtained from an online survey. 20 items were used to measure shopping orientation and 13 items to measure attitude toward internet shopping site service, which were modified from previous studies. Some demographics and internet familiarity were asked. Factor analysis, t-test, chi-square test, and regression were conducted. Factor analysis produced five fashion shopping orientation factors such as fashion oriented, shopping oriented, brand oriented, personality oriented, and value oriented. Attitude toward internet shopping site service were classified into three factors, at-site service, after purchasing service, and product information. Internet fashion shoppers and non-shoppers were significantly different in most items of shopping orientation and attitude toward internet site service. Internet shoppers were likely to be fashion oriented, to enjoy shopping, to pursue brandname and personality, and to concern price more than non-shoppers were. Internet shoppers also had more favorable attitude toward product information and at-site service. Also, shoppers were more familiar than non-shoppers to the internet in terms of duration of web-browsing. Ratio of men and women differed significantly for shopper vs. non-shopper groups. Female shoppers were likely to be more fashion, shopping. and value oriented but to have less favorable attitude for after purchasing service than male shoppers.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.389-394
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• 2019

The purpose of this study is to suggest guideline for better user experience of unmanned store focusing on the Seven Eleven signature. The case study was conducted to investigate the characteristics of unmanned stores in the US and China, and to conduct comparative studies with the Seven Eleven Signature Store. As a result, I was able to derive 7 items, Easy, Simplified, Accessible, Findable, Informative, Flexible, Credible that help to improve the shopping experience. We hope that the follow up study will help to improve the unmanned store in Korea and improve the experience.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.75-84
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• 2019

The purpose of this paper is to examine the factors influencing on loyalty in US online shopping malls. The study proposed a model to investigate the relationship among quality of sites, satisfaction, attitude, and loyalty. The hypotheses were examined by analyzing a structural equation model. 280 US samples were used for the final analysis. The results show that this model demonstrates good fit for the samples. The ease of use was found to be a significant variable in their satisfaction, while it did not have the direct effect on attitude toward the sites. The information quality was found to be a crucial variable in consumers' satisfaction and attitude toward the site. Satisfaction directly affected attitude as well as loyalty, and attitude also directly affected loyalty. Thus, the structural relationship among the variables of customers' loyalty was verified. This research provides practical insights into US consumer behaviors that would be beneficial to marketers when they make decisions for the US e-commerce market.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.183-190
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• 2009

The core technique of ubiquitous computing is the context aware computing and the context aware technique is more like software so the important research work is to develop the core engines first and the adapted device for the engines. When ubiquitous computing era comes, the current existing internet shopping mall, the form of searching the direct goods and ordering the goods by the customers evolves and develops the form of system that recommends the goods by the search engine which combined with the input data and technique of case based reasoning and intelligent agent that is based on the context aware technique. In this paper, search engine which is based on the case based reasoning and intelligent agent is designed and the prototype is implemented to be adapted to the internet fashion expert shopping mall.