• 한국의류산업학회지
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• 제10권2호
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• pp.164-172
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• 2008

This study explores the attributes of the on-line shopping products and prices, and their effects on the customer satisfaction. In doing so, the sample population has been segmented according to their shopping propensity of consumption on clothing to understand the group differences. Based on the previous researches, the researcher have chosen four important characteristics of the customer's shopping propensity. The number of iteration on factor analysis revealed that the sample population can be classified into three different groups; the convenience/pleasure-seeking group, the fashion/utility-seeking group, and the unconcerned group. The significant group differences resulted on the following study variables; the product assortment, the price rationality, and the value of the price. Also, from the product aspect, the characteristic, the assortment, and the expression in order, explained the significant portion of the Y variance. While, on the aspect of price, the rationality, and information in order, significantly contributed on the customer satisfaction.

• 아태비즈니스연구
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• 제11권1호
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• pp.1-16
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• 2020

Purpose - The purpose of this research is to investigate the determinants of bakery revisit intention. This research selects Paris Baguette as the research context because the market share of Paris Baguette was the highest in Korean bakery market. Design/methodology/approach -This research employed revisit intention as the dependent variable, while this research chooses six attributes to account for revisit intention. Six attributes are price fairness, taste, product variety, accessibility, display, and membership. This research uses survey as the main instrument. For the data collection, online survey using Google survey form was implemented. The survey participants are domestic consumers of Paris Baguette. The number of observation is 245. For the data analysis, this study used frequency analysis, correlation matrix, exploratory factor analysis, reliability analysis, and multiple regression model. There are four control variables, which contains age, gender, visiting frequency, and monthly income. Findings - The results shows that price fairness, taste, product diversity, and accessibility are significant attributes with the positive effect. Among the significant attributes, taste presented the highest magnitude to explain the revisit intention. However, membership and display appeared as non-significant attributes to account for bakery revisit intention. Research implications or Originality - This study provides the bakery managers with the information to design their service and product. This study also contributes to the literature by understanding the consumer behavior more in the domain of bakery service.

• 한국프랜차이즈경영연구
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• 제14권4호
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• pp.17-33
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• 2023

Purpose: This study divides choice attributes that can help strengthen the competitiveness of traditional markets into product, price, personnel, and physical evidence. This study also examines which choice attributes affect customer value perception, satisfaction, and loyalty. Research design, data, and methodology: The data were collected from 542 traditional customers aged 20 or older who frequently visit traditional markets across the country and analyzed using the Smart PLS 4.0 program. The survey was conducted with the help of an online survey company for a total of 14 days from April 7, 2023 to April 20, 2023. Result: First, product, price, and employee quality have a positive impact on utilitarian and hedonic value, but physical evidence does not. Second, product, price, and employee quality have a positive impact on hedonic and hedonic value. Second, utilitarian value has a positive impact on satisfaction and revisit intention. Third, hedonic value has a positive impact on satisfaction, but does not on revisit intention. Lastly, satisfaction has a positive impact on revisit intention. Conclusions: Based on the S-O-R model and the theory of consumption value, this study proposed and examined an integrated framework in which satisfaction leads to revisit intention through selection attributes acting on perceived value.

• Journal of Information Technology Applications and Management
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• 제30권5호
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• pp.83-105
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• 2023

The purpose of this study was to investigate the impact of investment fund attributes such as fund product characteristics, returns on fund investment (ROI), internal controls, and after service on fund investor behavior based on investment information technology. In addition, we also examined how customers reinvest through emotional immersion, company trust and company satisfaction of investment firms in the context of fund investment. First, empirical results show that fund product characteristics, returns on fund investment, and financial firms' internal controls and after service act as signals to fund investors to shape their reinvestment intentions. Second, while investors are generally perceived to be interested only in investment returns, this study also shows that they consider both fund product characteristics and fund investment returns, which are core attributes of funds, as well as financial firms' internal control and after service, which are non-core attributes. Third, we find that company trust is an important factor in investors' reinvestment intentions, showing that investors are more likely to reinvest in a fund if they perceive the financial firm to be trustworthy and reliable. Finally, these findings emphasize that investors consider not only tangible aspects of fund products, such as fund product characteristics and returns on fund investment, but also intangible factors, such as financial firms' internal control and after service, and trustworthiness. Taken together, another implication is that the more advanced the investment information technology of financial firms, the more trust, satisfaction, immersion, and reinvestment intentions of investors will increase.

• 한국콘텐츠학회논문지
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• 제20권10호
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• pp.109-118
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• 2020

본 연구는 현대무용관람객의 선택속성을 선행연구를 바탕으로 구성하고, 현대무용공연 관람 경험이 있는 관람객을 대상으로 설문조사를 실시하였다. 이후 탐색적 요인분석을 통해 현대무용공연의 선택속성을 규명하였으며, 이에 물리적 증거, 티켓, 사람, 정보, 작품, 명성 이라는 6가지 속성이 도출되었다. 이 속성을 바탕으로 티켓구매행동에 영향을 주는지 알아보기 위해 '확장된 계획적 행동이론'을 통하여 선택속성이 관람태도와 티켓 구매의도에 미치는 영향을 알아보았다. 그 결과, 현대무용공연의 선택속성 중에서는 명성, 사람, 작품의 세 가지 속성이 관람태도에 정(+)의 영향을 미쳤으며, 티켓구매의도에는 작품과 사람속성만이 정(+)의 영향을 미쳤다. 티켓구매의도에 설명력을 높이기 위한 확장된 계획행동이론의 변수 중에서는 주관적 규범을 제외한, 관람태도와 지각된 행동통제, 사전지식이 티켓구매의도에 정(+)의 영향을 미쳤다. 이에 본 연구는 현대무용공연의 티켓구매의도를 향상시킬 수 있는 관람객 중심의 선택속성을 제시하고 실증적으로 확인하였다는 것에 의의가 있다.

• 한국의류학회지
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• 제32권10호
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• pp.1509-1521
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• 2008

The subjects of this study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of apparel quality in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, apparel product quality is composed of five parameters: practicality, aesthetics, brand image, ease of care and fit. For the parameters of apparel product quality, the result of this study show that product improvements are needed in fit, aesthetics and practicality(in order of importance). The level of satisfaction(how satisfied consumer feels) was marked higher in brand image than that of importance(how important it is). To review demands for the apparel product attributes of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. Material was the most important design element in designing formal suits. The shape of the pants was the second because the harmony between the jacket and the pants is important in formal suits. These were followed by trim and color tone of the jacket.

• 한국의류학회지
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• 제33권7호
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• pp.1086-1097
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• 2009

Consumers have more choices for apparel products as e-shopping grows. This study examines the importance of apparel product attributes and classifies online apparel buyers into groups based on product attribute evaluation in various choice sets. For the empirical research, the online survey was conducted and Latent Gold Choice 4.0 was used for the choice-based conjoint analysis. Five consumer segments are found based on the choice selection of product attributes. The importance of product attributes (online shopping mall, brand, price, and style) and the preference of each product attribute level were different across segments. This research improves the knowledge of the purchasing behavior of online apparel buyers and provides proper attribute combinations of apparel e-shopping for each consumer segment.

• 한국의상디자인학회지
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• 제15권1호
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• pp.123-138
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• 2013

This paper studied the apparel product attributes that women in the new elderly generation require in formal wears and in casual wears. The purpose of this study was to provide the design guideline when considering the changing and diverse buying patterns of the new elderly female consumers as opposed to the traditional elderly generation. We employed a qualitative study methodology of one-on-one in-depth interview with open coding. Between August 10 and October 3 of 2012, we interviewed sixteen female consumers of age 60 or above residing in the metropolitan area who considered themselves as young-minded. Our findings were as follows: The consumer-required attributes that the new elderly women wanted to present have five dimensions of symbolism, aesthetic, fitness, usefulness, and maintenance. The main focus of the apparel product attributes that the new elderly women wanted was the dimension of symbolism in formal wears and the dimensions of usefulness and maintenance in casual wears. The new elderly females were the emerging group of consumers of diversified clothing products who emphasized overall balance and wore appropriately for occasions. Apparel products for the new elderly females should incorporate the design attributes that they want as well as the overall balance among individual wears.

• 융합경영연구
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• 제11권1호
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• pp.13-19
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• 2023

Purpose: This study aims to determine which optional attributes are more important for the MZ generation when purchasing luxury fashion goods. Although sales are slowing down in all industries due to COVID-9, sales of luxury fashion goods are instead increasing, centered on the MZ generation. Companies are expanding online sales channels and transforming to gain more attention. Research design, data and methodology: Selection attributes are considered to be more crucial, when customers select luxury fashion products such as prestige image, brand awareness, reasonable price, and product quality, were researched and also find the correlation between satisfaction and purchase intention were analyzed. A survey was conducted focusing on the MZ generation, and the contents of the survey were analyzed using the SPSS 22.0 program and the Amos 26.0 program. Results: As a result of the study, selection attributes as prestige image, brand awareness, and product quality were proved to influence significantly on satisfaction. Moreover, the path of satisfaction to purchase intention proved significant. But reasonable price did not influence on MZ generations satisfaction. Conclusions: The research results present the selection attributes of luxury fashion products and provide significant implications when the MZ generation selects the attributes of luxury fashion products.

• Journal of Mechanical Science and Technology
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• 제17권12호
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• pp.1969-1976
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• 2003

In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making for the product concepts, and the best alternative can be selected based on its estimated LCA and benefits. Both the lack of detailed information and time for a full LCA for a various range of design concepts need a new approach for the environmental analysis. This paper explores a new approximate LCA methodology for the product concepts by grouping products according to their environmental characteristics and by mapping product attributes into environmental impact driver (EID) index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then, a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for newly designed products. The training is generalized by using product attributes for an EID in a group as well as another product attributes for the other EIDs in other groups. The neural network model with back propagation algorithm is used, and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines for the design of environmentally conscious products in conceptual design phase.