• Journal of Fashion Business
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• v.19 no.6
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• pp.127-138
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• 2015

Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores' online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores' websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.

• Journal of the Korea Safety Management & Science
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• v.6 no.2
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• pp.177-186
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• 2004

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. We study the multi-attribute decision making in a compensatory models. In this paper, we use the entropy methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.113-124
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• 2000

First, in order to improve selecting method of quality characteristic level desired by customers, S/N(Signal-to-Noise) ratio of Taguchi in larger-the-better characteristics was applied. Second, the Matrix classification standard of ACE(Attribute Categorization Evaluation) is presented using KANO model on difference analysis of importance and satisfaction through questionnaire from customers. This is for reflecting the diverse EC which customers want in EC quality sufficiently. Also, establishing sales point will be helpful in business strategy through presenting types that are able to decide planning quality. Third, the important measure of EC about correlation among quality characteristics and a new weight of EC are calculated depending on importance of EC and the weight of customer attribute and materials of relationship matrix through correlation matrix analysis.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.481-490
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• 2000

First, in order to improve selecting method of quality characteristic level desired by customers, S/H(Signal-to-Noise) ratio of Taguchi in larger-the-better characteristics was applied. Second, the Matrix classification standard of ACE(Attribute Categorization Evaluation) is presented using KANO model on difference analysis of importance and satisfaction through questionnaire from customers. This is for reflecting the diverse EC which customers want in EC quality sufficiently. Also, establishing sales point will be helpful in business strategy through presenting types that are able to decide planning quality. Third, the important measure of EC about correlation among quality characteristics and a new weight o( EC are calculated depending on importance of EC and the weight of customer attribute and materials of relationship matrix through correlation matrix analysis.

• International journal of advanced smart convergence
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• v.6 no.1
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• pp.39-43
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• 2017

As the industry grows, the amount of data grows exponentially, and data analysis using these serves as a predictable solution. As data size increases and processing speed increases, it has begun to be applied to new fields by combining artificial intelligence technology as well as simple big data analysis. In this paper, we propose a method to quickly apply a machine learning based algorithm through efficient resource allocation. The proposed algorithm allocates memory for each attribute. Learning Distinct of Attribute and allocating the right memory. In order to compare the performance of the proposed algorithm, we compared it with the existing K-means algorithm. As a result of measuring the execution time, the speed was improved.

• Journal of the Ergonomics Society of Korea
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• v.14 no.1
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• pp.105-113
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• 1995

The objective of the study is to investigate the influence of aesthetic attributes on user interface design. Theories of aesthetics are first studied from which aesthetic attributes are defined as information sources. Representation of a product is viewed as a combination of aesthetic attributes, based on a hypothesis that each attribute has a certain influence on the performance in terms of user interface. An experiment was conducted to support the hypothesis. Various combinations of aesthetic attributes of a microwave oven were generated from the orthogonal array of a conjoint analysis. Subjects perfomed on a computer two types of tasks, each of which simulated a combination of attributes. Reaction time was evaluated as a performance measure for the conjoint analysis to find out how much influence each attribute has on the performance. A computer program, UISA(User interface Simulation system of Aesthetic attributes0, was developed and used for simulation. Findings on the influences of aesthetic attributes were summarized.

• Journal of the Korean housing association
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• v.20 no.2
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• pp.27-35
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• 2009

With the change of construction environment, the main body of construction industry was moved from project suppliers to consumers. Accordingly in order to strengthen competitiveness, project suppliers have to concentrate on marketing for diversification. Thus, it is required to utilize real estate marketing from the beginning of development project to introduce 'consumer-centered marketing strategies' instead of 'supplier-centered marketing'. This study aims to find out what consumers consider the most important factors when selecting apartment. According to the study, when residents select their apartment in residential area, they valued those attributes with investment, location, dwelling attribute, apartment complex attribute, unit price per square meter, in order. This result will contribute to qualitative improvement of housing development project.

• The Journal of Information Systems
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• v.29 no.2
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• pp.173-195
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• 2020

Purpose The purpose of this study is to verify the effect of reviewer's attributes on review usefulness while exploring the variables that can moderate the relationship between reviewer's attributes and review usefulness through empirical analysis. Design/methodology/approach To understand the impact of online reviewer profiles on review usefulness and how these impacts change, this study collected more than 30,000 online reviews of restaurants through TripAdvisor.com, that is a representative OTA shares tourism information. We analyze the moderating effects of four variables such as review length, review equivocality, review uncertainty, and review readability. Findings According to the empirical analysis result, this study reveals that the reviewer's profile attribute can significantly improve the review usefulness of the reviewer, and confirmed the moderating effect of the review's attribute(Review length, Equivocality, Uncertainty, Readability).

• Culinary science and hospitality research
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• v.6 no.1
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• pp.177-195
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• 2000

The purpose of this study is to examine two different types of meal experiences as the experimental factors and empirically incorporates a context specific approach into the measurement of bakery attractiveness. The study used frequency analysis to examine the demography of respondents, t-test to compare the importance rating of each attribute for its contribution to the selection of a bakery in terms of each type of meal, and anova analysis to compare the satisfaction rating of each attribute for its contribution to the selection of a bakery in the context of regular meal and a eating between meal The study indicated the implications of these findings concerning marketing and development initiatives to improve the physical and perceptual attractiveness of the bakerys.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.3
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• pp.94-105
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• 1995

Purposes of this study were to apply and examine that the importance-performance analysis(IPA) could be a useful park management tool. The IPA is an easily-applied technique developed in marketing field to measure attribute importance and performance. It displays them simultaneously on a 4-quardrant action grid; therefore, park managers can upgrade current services and address marketing strategies for various user segments. The children's grand park was selected as a study are. Two different types of questionaires were utilized for data analyses. They were collected from one respondent by on-site distribution or by mail survey, because attribute importance and performance should be rated before and after visiting a park, respectively. Then, total data was segmented systematically by 2 variables-age and benefit sought. Action grids from order to meet the needs of each segment. Several comments on both data collection methods and segment variables selection were described to improve the IPA in recreation settings for future researches.