• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1074-1085
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• 2009

This study compares the benefits for online clothing purchases between Korean and U.S. consumers. A total of 464 usable questionnaires were obtained from respondents who resided in Korea (n=253) and the United States (n=21l). Data were analyzed by descriptive statistics, factor analysis, and MANOVA. For online clothing purchases, the benefit consisted of five factors: product attribute, transaction services, security, country of origin, and brand symbolism. Results showed that the main effect of nationality and gender on the benefit factors were significant; there was an effect of nationality on product attributes, transaction services, and country of origin. Compared with Korean consumer, U.S. consumers were more likely to consider the benefits of product attributes, transaction services, and country of origin for clothing in online purchases. In addition, there was a gender difference in benefit factors of product attributes, transaction services, country of origin, and brand symbolism. Females were more likely than males to consider the benefits for clothing in online purchases. An interaction effect of nationality and gender was not significant in online purchases for clothing. The managerial implications are discussed for global fashion marketing across the countries.

• Journal of Distribution Science
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• v.15 no.7
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• pp.35-41
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• 2017

Purpose - A product bundling is a marketing approach where multiple products or components are packaged together into one bundle solution. This paper aims to introduce an optimal bundle search problem (hereinafter called "OBSP") which may be embedded with online recommendation system to provide an optimized service considering pairwise discount and delivery cost. Research design, data, and methodology - Online retailers have their own discount policy and it is time consuming for online shoppers to find an optimal bundle. Unlike an online system recommending one item for each search, the OBSP considers multiple items for each search. We propose a mathematical formulation with numerical example for the OBSP and analyzed the complexity of the problem. Results - We provide two results from the complexity analysis. In general case, the OBSP belongs to strongly NP-Hard which means the difficulty of the problem while the special case of OBSP can be solved within polynomial time by transforming the OBSP into the minimum weighted perfect matching problem. Conclusions - In this paper, we propose the OBSP to provide a customized service considering bundling price and delivery cost. The results of research will be embedded with an online recommendation system to help customers for easy and smart online shopping.

• Journal of the Korean Society of Costume
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• v.65 no.7
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• pp.101-117
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• 2015

Along with the development of overall internet service, online fashion communities appeared and have started to thrive. The growth of mobile service has led to an even bigger expansion of these communities, and will wield a strong influence for the foreseeable future. The purpose of our study is to investigate the relationship between the behavior of these fashion communities and personality characteristics of the community features. For our data analysis, our study used 302 men and women, aged from their 20's and their 40's. The study results are as follows: First, some features, such as interaction, entertainment, promotion, information, and system technique, were drawn as the factors of the online fashion communities. Second, we could divide the community behavioral types into three different groups: buyer, maven, and onlooker groups. Third, all three groups showed different community characteristics. The primary concern for the buyer group was promotion while the mavens and the on-lookers were most interested in information. Fourth, they also showed different demographic characteristics in terms of gender, age, duration of membership, on-line time per visit and number of visits per week. These results show that a new strategy is necessary for online fashion communities to differentiate themselves and their marketing to consumers and their community behavioral types.

• Journal of Korean Society of Rural Planning
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• v.14 no.1
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• pp.9-21
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• 2008

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.

• Journal of Distribution Science
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• v.22 no.9
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• pp.39-48
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• 2024

Purpose: The purpose of this study is to collect and analyze a large amount of data from online ticket distribution platforms that offer multiple airlines and different routes so that they can improve their ticket distribution marketing strategies and provide services that are more suitable for consumer's needs. The results of this study will help airlines improve the quality of their online platform services to provide more benefits and convenience by providing access to multiple airlines and routes around the world on one platform. Research design, data and methodology: For the study, 200 people completed the survey between May 1 and June 15, 2024, of which 191 copies were used in the study. Results: The hypothesis testing results of this study showed that among the components of the recommendation algorithm, decision comport, novelty, and evoked interest recurrence had a positive effect on perceived recommendation quality, but curiosity did not have a positive effect on recommendation quality. The perceived recommendation quality of the online platform positively influenced recommendation satisfaction, and the higher the perceived recommendation quality, the higher the intention to continue the relationship. Finally, higher recommendation satisfaction was associated with higher relationship continuation intention. Conclusion: it's important to continue researching online ticketing platforms. Online platforms will also need to be systems that use technology and data analytics to provide a better user experience and more benefits.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.1-19
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• 2013

A myriad of information production channels and medium including internet, social media, and multi media channels emerged, often with conflicting interests, disseminate unwanted and inaccurate information which could result in sudden severe public relations damage to the global companies with world class products if not dealt with in the professional way. Properly crafted and managed public relations thus should become the integral part of all organizations. In particular online public relations leadership becomes even more important to public organizations responsible for national branding and interests and to private sectors expanding into the global markets. The research aims to increase global competitiveness of the pubic and exporters by presenting the online leadership strategy 101. For this purpose, locally produced web sites are analysed both from technical and global marketing perspectives. From the research all web sites were classified into three types of ghost, wreck, and moron. The 2012 research showed that 99% was moron, followed by 67% wreck and 1% ghost. The research presents must strategies for global public relations and marketing. They include strategic planning, public relation training, white hat search engine optimization, web standards, web accessibility, mobile web site and the inbound marketing strategies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.

• Knowledge Management Research
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• v.24 no.4
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• pp.195-218
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• 2023

This study empirically analyzes the effect of a sports club's performance and social media operations on online information search volume, reflecting fan engagement. Additionally, it confirms that such effect can vary depending on the issuance of sports fan tokens. The analysis of the data resulted in the support of all four hypotheses presented in this study. The team's goal differentials during the games exhibited a significant and positive effect on the online information search volume by fans. Furthermore, the quantity of a team's social media posts also showed a significant and positive effect on the online information search volume. The aforementioned effects of the team's game-related performance and social media activity on the online information search volume appeared to be strengthened when the sports fan tokens of the team were issued. This study conducts an empirical analysis of fan engagement in sports clubs and delves into the marketing dimensions of sports fan tokens. By doing so, it broadens the research scope within sports marketing and offers practical insights for the development of marketing strategies by sports clubs.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.2
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• pp.81-100
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• 2016

Much effort has been exerted to analyze online texts and understand how empirical results can help improve sales performance. In this research, we aim to extend this stream of research by decomposing online texts based on text sources, namely, companies and consumers. To be specific, we investigate how online texts driven by companies differ from those generated by consumers, and the extent to which both types of online texts have different effects on online sales. We obtained sales data from one of the biggest game publishers and merged them with online texts provided by companies using news articles and those created by consumers in user communities. The empirical analyses yield the following findings. Word visualization and topic analyses show that firms and consumers generate different contexts. Specifically, companies spread word to promote their own events whereas consumers produce online words to share winning strategies. Moreover, online sales are influenced by consumer-generated community topics whereas firm-driven topics in news articles have little to no effect. These findings suggest that companies should focus more on online texts generated by consumers rather than spreading their own words. Moreover, online sales strategies should take advantage of specific topics that have been proven to increase online sales. In particular, these findings give startup companies and small business owners in variety of industries the advantage when they use the online channel for distribution and as a marketing platform.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.77-94
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• 2011

Since the general quality of life has been improving, people have become interested in "well-being." The widespread acceptance of the importance of "well-being" to quality of life has encouraged people to take more interest in getting health information online when they need it. Expansive use of online health information suggests that individual characteristics (i.e., gender and other traits), Website features, and perceived trust are related to the primary concern for many online health information consumers. This study examines whether familiarity, perceived security, and reputation of health information on various Websites influence the relationship of trust and intention to use by gender. These research results will contribute to the adoption of online health information by gender and, moreover, will provide companies with an understanding of key characteristics of consumers who use emoticons and provide useful implications for marketing strategies to current and future consumers.