• Journal of the Korean Society of Costume
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• v.58 no.4
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• pp.58-71
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• 2008

The demand for personalized products and service of apparel product has increased dramatically. In order to acquire a personalized apparel product, consumers may have to sacrifice more expense or time. The purpose of this study was to investigate various personalization strategies in apparel business and to identify antecedents that influence the process. Clothing involvement and two price related variables (clothing expense and willingness to pay more) were included in the study as antecedents. Four personalization strategies were included in the study: design selection, size customization, in-store service and promotion personalization. For an empirical study, a conceptual model was designed and research questionnaire was developed. A measure of personalization of apparel shopping was developed based on existing scale items of prior research and a pilot study. Data from 766 men and women in their twenties to forties were used for statistical analysis. Structural Equation Modeling was used for the data analysis. Results indicated that the conceptual model was a good fit to data. Structural paths indicated that there was significant influence of clothing involvement on design selection and sales promotion personalization strategies. Involved consumers spent more on chothing products and were likely to pay more on personalized products and services. Monthly clothing expense influenced size customization significantly. It also had negative influence on service related personalization strategies. Consumers were willing to pay more when it comes to product related personalization strategies such as design and size but not necessarily to service related strategies. This study was an attempt to provide an in-depth and synthesized approach on consumer attitudes toward personalization of apparel products.

• 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.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.47-54
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• 2022

The development of the Internet of Things led to new services that did not exist before. This required a change to the existing network. This study aims to verify the service quality, satisfaction, repurchase intention relationship, and the moderating effect of online reviews of Chinese consumers using fashion shopping malls. The results of the study showed that from the perspective of consumers in their 20s and 30s in China, the type, reliability, convenience, and interaction of service quality had a positive effect on customer satisfaction and repurchase intention. In addition, negative reviews among online reviews had a great influence on repurchase intention. Based on the results of the study, it will help improve the effect on online product reviews and in-depth understanding of the acceptance of online product reviews for online fashion shopping malls, and establish strategies for fashion companies to effectively manage online product reviews information.

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.179-196
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• 1999

A cyber shopping mall is a place where consumers acquire the product information and make purchase decision in the cyber space. Even though there are many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of them is the absence of efficient search tool to handle various products specifications. Existing search systems usually support the "keyword search only" with limited product information. Consumers spend lots of their time and efforts in searching products and comparing them. Recently, some web sites provide the shopping mall comparison service that supports the additional search conditions such as price and maker. These services improve the situation but it is not still acceptable. In this paper, we propose an intelligent product search system based on a mediator which supports various conditional search for each product. Our system provides consumers with search results that satisfy purchase specifications. Our system is implemented in Visual basic and pert and experimental results show satisfactory performance.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.151-167
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• 1994

Initial screening is one of the most important and difficult processes in new product development. Many new product screening models have been developed in management and marketing. However practical applications of these models have been limited in part due to their complexity and inflexibility, and in part due to their excessive data requirements. Thus simple judgment models have been popular in practice. However, these models suffer from inaccuracy and inconsistency originating form human cognitive limitations. In light of the problem swith traditional screening methods, we propose a new approach for screening based on managers' past experience and intuitive judgments-screening by analogy, and develop a computerized case-based system for screening new financial service concepts. Using the system, managers can predict the potential performance of a new product concept based on the performance of past products that are similar to it in terms of product characteristics, firm's resources, and market conditions. Based on this prediction, managers make a screening decision.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.548-555
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• 2003

Customer satisfaction level is usually measured in terms of price, quality, customization, after-sale-service, product variety etc. Each finn sets up a distinctive production/marketing strategy to gain competitive advantage by prioritizing the customer satisfaction measures. The market differentiation strategy directly results in supply chain performance such as lead time, inventory, customer fill rate and market share. Product proliferation desirable in customization sense often conflicts the economies of scale effect in production side. This paper focuses the relationship between product variety and market share. Specifically, we investigate how introduction of new product affects the current market share, i.e.,) formation of customer preference and provide some insight into the optimal range of product variety.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.2
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• pp.174-182
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• 2007

Mass customization meets various needs of customers as well as produces various products and service in low cost like mass production. However, low cost and product diversity have conflicting concepts. Therefore, in order to solve this problem, we need standardization methods. In this paper, we suggest a method for determining the product platform which is a set of common parts in a product family. To achieve the method, we used the Contradiction Analysis of TRIZ (Theory of Inventive Problem Solving), Using this approach, we found a model that obtains various products within limited resources and conditions. Also, we suggest another method that increases the flexibility of our method by Design Structure Matrix.

• Journal of the Society of Disaster Information
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• v.10 no.1
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• pp.116-122
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• 2014

Recently, Korea has enacted the Framework Act on Product Safety to allow comprehensive control of product safety accidents. This is a government policy aiming to ensure product safety and customer protection by strengthening the obligation of producers. However, the framework has not yet been completed in Korea. Therefore, this paper deals with improvement assignments and directions by comparing the frameworks of applied in Korea and Japan for ensuring such production safety.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.141-146
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• 2007

The importance of the net-based customer service in delivering supplementary after-sale services associated with product has been well documented. The strategic advantages of a well-implemented the net-based customer service are enhanced customer loyalty and higher lock-in of customers, and the resulting reduction in competition and the consequent increase in profits. However, not all customers utilize such the net-based customer service. This is partly due to the e-commerce divide, and partly due to privacy and security concerns of the customer for sharing personal information with firms. The limited level of customer adoption of the net-based customer service affects the firm profits and the customers' welfare. We use a game-theoretic model in which we model the net-based customer service system as a mechanism to enhance customers' loyalty. We find that an increase in adoption of the net-based customer service by the customer base is not always desirable for firms. and that customers who utilize such services are better off only when the overall adoption is limited.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.61-74
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• 2007

In this paper we consider the Digital Multimedia Broadcasting (DMB) Service that starts recently in Korea and gains popularity. DMB makes it possible to watch high quality TV programs while we are in motion. The service provider or the service researcher are interested in the factors that influence the user's choice of new service such as DMB. Understanding the factors make them create the powerful marketing strategies and develop the new service or product that is attractive for users. We therefore find the factors influencing the user's choice of DMB service, and propose a model for analyzing the relationship between the factors and the intention of buying. The model is based on the Technology Acceptance Model (TAM). We extend the TAM by adding factors including functional attributes of DMB service. We survey the significant functional attributes influencing the intention of buying by using the proposed model.