• Journal of Fashion Business
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• v.15 no.3
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• pp.142-155
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• 2011

By developing attitude transfer model, this study examined the co-marketing alliance effect between fashion and other industries (i.e., service and product brands) based upon the information integration theory. In addition, it examined the product tangibility/intangibility effects of partner brands by controlling stimuli: two alliance cases of fashion and service brands and two alliance cases of fashion and product brands. A total of 1,037 Korean women aged 20 to 39 were surveyed to compare the prior- and post- attitudes toward fashion/partner brands under four fictitious co-marketing alliance cases. Confirmatory factor analysis (CFA), multi-group CFA, structural equation modeling (SEM) analysis, and multi-group SEM analysis were conducted to test the hypotheses. The results demonstrated that the prior-attitude toward fashion brand partially affected the alliance attitude, and the co-marketing alliance was affected by prior-attitudes partner brands. The result of multi-group SEM analysis supported the significant differences between service and product brands as alliance partners, which might refer to the effect of product tangibility, existing in brand alliance contexts. The alliance evaluation affected the subsequent evaluations on each participating brands. This study empirically provides the conceptual structure of how consumer attitudes toward the participating brands interact with the attitudes toward alliance and offer practical insights. Specifically, upon employing the manipulated co-marketing alliances cases, this study demonstrates the partnering effect according to product tangibility of partner brands.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.959-968
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• 2020

Tourist loyalty is created through good tourism service quality and the availability of tourism products. This study discussed the various attributes of tourism service quality, namely, tour agents, efficient personnel, accessible transportation, and information service quality. Whereas for tourism product availability attributes were varieties of product availability, wide selection of tour agents and tourist products, and wide variety of amenity services. As a general rule, the minimum is to have at least five times as many observations as the number of variables to be analyzed, and the more acceptable sample size would have a 10:1 ratio. A total of 424 questionnaires were returned, with 35 removed due to errors. Finally, 389 questionnaires respondents were used via accidental sampling method through the distribution of questionnaires to foreign tourists at Soekarno Hatta International Airport. In addition, AMOS 7.0 software is used to test models in confirmatory factor analysis (CFA) as well as hypothetical testing using structural equation modeling (SEM). The results showed that all hypotheses were accepted, except for the effect of tourism service quality on tourist loyalty in Indonesia. This research aims to contribute significantly to the existing knowledge of tourism, specifically from a foreign tourist perspective in Indonesia.

• The Journal of Industrial Distribution & Business
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• v.4 no.2
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• pp.41-49
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• 2013

Purpose - Currently, the distribution environment has been changing rapidly because of the advent of super-supermarkets (SSM),which adopt the "price break" and "lowest price" strategies. Specifically, a diversification of the distribution environment allowed customers to reasonably decide where to shop. With a broadened range of criteria governing the choice of a store, determining changes in the distribution environment should be based on customer satisfaction surrounding the service levels of SSMs. This study examines the effects of service quality and product quality of SSMs on customer satisfaction levels, and analyzes whether these factors affect customers' revisit intention directly. Research design and methodology - A survey method was used and 127 SSM customers responded to the questionnaires that were developed to measure service quality, product quality, customer satisfaction, and store revisit intention. A multi-regression analysis was used to test the hypotheses. Results - Except hypothesis 2, the other seven hypotheses were supported. Hypothesis 2 suggested a positive relationship between product factors and customer satisfaction. Conclusions - This study found a systematic effect of service factors and product factors on customer satisfaction and word-of-mouth, and consequently on store revisit intention.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1061-1066
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• 2004

It is certain that the future manufacturing environment will be network-centric and spatially distributed based on Internet. Today, wide variety of distributed computing and communication technologies are available for implementing a system for product data exchange and sharing. One of the technologies that have been received most attentions for product data exchange and sharing is Product Data Management (PDM). PDM tries to integrate and manage process of data and technical documents that are connected to physical product components. In accordance to previous researches about PDM, it can be regarded as an integration tool of many different areas, which ensures that the right information is available to the right person at the right time and in the right form throughout the enterprise. PDM with Web-enabled CAD system is proposed in this paper in order to acknowledge the usefulness of the system mentioned. The system will use Web service on Visual Studio C#.Net to invoke the web application system.

• Journal of Service Research and Studies
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• v.9 no.3
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• pp.17-38
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• 2019

With recent dispersion of sharing economy, consumption culture of sharing, instead of ownership, gets wide spread in the age groups of 20-30. Even though the market of car sharing expands rapidly, little research has been done in the area of service quality and consumer behavior regarding car sharing services. Given that future market potential gets larger, it seems highly meaningful to conduct research on customer satisfaction and their usage behavior regarding car sharing services. This paper intends to analyze main factors affecting overall customer satisfaction on car sharing services; satisfaction on service quality, satisfaction on service product, and satisfaction on service experience. Each dimension of the three factors is also analyzed to see if there is any differences between major three brands. Further analysis has been done for checking any effects of gender and usage purpose of customers on the overall customer satisfaction. Key results of the analysis show all the three main factors have significant effect on overall customer satisfaction. Each dimension of service quality has significant effect on satisfaction on service quality. Dimensions of parking lot accessability and vehicle maintenance in service product evaluation, have greater effect on satisfaction on service product. In service experience, positive affect have greater effect than negative affect on satisfaction on service experience. Women users perceive larger overall customer satisfaction on car sharing services than men users. On the types of usage purpose, Users with purpose of tour and dating/meeing friends perceive larger overall customer satisfaction on car sharing services than user without it. Further managerial implications of car sharing services are also provided.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.168-176
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• 2015

Trends of integrating products and services lead to the emergence of Product-Service System (PSS). To implement and embody a PSS solution in new product development, a comprehensive design framework is allowed designers to facilitate the design factors of the PSS in complex business environments. A physical product, containing functionalities for services, is the role of medium between customers and a manufactures. Customers can access those metaphysical interfaces to utilize the product fully or expand its performances. The PSS is aiming to prolong its lifecycle while maintaining its expected quality. Since the quality can be represented as a measure which belongs to user's perspective, guaranteeing certain level of quality can be interpreted to sustaining customer satisfaction. The objective of this paper is to propose a PSS design framework to identify design factors for developing products and services by integrating object-oriented concepts and blueprinting in context of a business ecosystem. The proposed model is developed based on relationship products and services matching with their design factors. The products and the services are then brought together to form a PSS. Functions and processes can be categorized to identify the design factors in different levels using the object-oriented concepts. Objected-oriented concepts provide PSS analysis tools for describing a business process or a workflow process in the PSS. The blueprint is used to identify the relationships between the products functions and the service processes that are offered as part of a job. To demonstrate of the effectiveness of the proposed model, we use a case study involving a smart phone.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.4
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• pp.1-13
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• 2010

The purpose of this study is to examine the different preference as well as the factor for this preference between general internet shopping mall and feminine internet fashion shopping mall only which are subjected with women and know the satisfaction which follows hereupon. This research will help to establish the strategy to marketers who manage feminine internet fashion shopping mall. The results of this study as follows; 1. As the result of the analysis of preference factors for general internet shopping mall, it was classified with, convenient characteristic, economical efficiency, product and information characteristic, sales promotion, and customer service. Also differences among preference factors appear with following orders, economical efficiency, convenient characteristic, product and information characteristic, sales promotion, and customer service. 2. As the result of the analysis of preference factor for feminine internet fashion shopping mall, it was classified with, fashion information and style, purchase product, economical efficiency, product assortment, and customer service. Also differences among preference factors appear with following orders, fashion information style, product assortment, purchase product, economical efficiency, and customer service. 3. As the result of the analysis of preference factors, convenient characteristic and product information mostly effects to satisfy the customers who use general internet shopping mall. Also purchase product, product assortment, fashion information and style mostly effects to satisfy the customers who use feminine internet fashion shopping mall.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.1 s.149
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• pp.48-58
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• 2006

The purposes of this study were to examine the effect of perceived service quality and symbolic store image on store loyalty in apparel product purchasing and the moderating effect of hedonic shopping orientation. The questionnaire was administered to 450 women shopped in a department store in Gwang-ju during September, 12-26, 2002. Data collected from 384 women were analyzed by using frequency, factor analysis, regression analysis, ANOVA and t-test by SPSS for WIN Program. The results were as follows. First, consumers' perceived service quality was composed of three factors; product & environment service, sales person's customer oriented service, store policy service factor. Consumers' symbolic store image was composed of three factors; status symbol, favorability. credibility (actor. Second, the perceived service quality significantly influenced store loyalty. Third, the symbolic store image significantly influenced store loyalty. Fourth, interaction effect between perceived service quality and hedonic shopping orientation was found out to be meaningful at store loyalty. Fifth, interaction effect between perceived store image and hedonic shopping orientation was found out to be meaningful at store loyalty.

• International Commerce and Information Review
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• v.10 no.2
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• pp.433-453
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• 2008

Customer satisfaction and loyalty are becoming an increasing salient topic in many firms and in academic research. This study places significance in establishing corporate marketing strategy via analyzing and understanding purchasing by Korean and Chinese customer, especially those for service store, who serve as the core in marketing activities. To objectives of this study are to investigate which antecedent variables have significant effects on consumer perceived satisfaction or loyalty and to examine whether these factors have differences between Korean and Chinese customer. To test the hypotheses, such antecedent variables as the product quality, service quality, store reputation, store image. All variables are significant factors in both Korean and Chinese customer. Under the current increasingly rapid competitive market, product/service quality, store reputation/image can provide customer satisfaction and loyalty, can generate continual customer expansion of current customer through the reuse intention and can contribute to the expansion of new customers.