• Korean Journal of Agricultural Science
• /
• v.38 no.1
• /
• pp.183-190
• /
• 2011

The paper is to analyze multi-attributes for expanding new renewable energy in agricultural sectors which have environmental, technical, economic, and social factors consisting of 15 attributes which have both positive and negative impacts. We applied the analytic hierarchy process (AHP) to data from opinion polls. As a result of the AHP survey, the overall results indicate that the respondents more weight on economical factor than environmental, technical, and social factors for expanding new renewable energy. At the lowest level, a comparison of individual 15 attributes within three factors shows that fixed cost highest in multi-attributes, followed by operating cost, technical superiority. To achieve the public acceptance about expanding new renewable energy in agricultural sectors, the policy-makers should take all relevant factors into account through the decision-making process by the public opinions.

• The KIPS Transactions:PartD
• /
• v.14D no.7
• /
• pp.727-732
• /
• 2007

Most of previous work on indexing and searching time series focused on the similarity matching and retrieval of one-attribute time series. However, multimedia databases such as music, video need to handle the similarity search in multi-attribute time series. The limitation of the current similarity models for multi-attribute sequences is that there is no consideration for attributes' sequences. The multi-attribute sequences are composed of several attributes' sequences. Since the users may want to find the similar patterns considering attributes's sequences, it is more appropriate to consider the similarity between two multi-attribute sequences in the viewpoint of attributes' sequences. In this paper, we propose the similarity search method based on attributes's sequences in multi-attribute time series databases. The proposed method can efficiently reduce the search space and guarantees no false dismissals. In addition, we give preliminary experimental results to show the effectiveness of the proposed method.

• Journal of Fashion Business
• /
• v.25 no.2
• /
• pp.18-33
• /
• 2021

This study sought to understand the clothing consumption values of male consumers and analyze the attributes of online fashion multi-brand stores. The study examined the effect of clothing consumption values of male consumers on the perceived attributes of online fashion multi-brand stores and use intention. The study also aimed to investigate whether online information search moderated the relationship between the perceived attributes of online fashion multi-brand stores and use intention. An online survey of male consumers in their 20s and 30s was conducted, and a total of 338 responses were analyzed. The SPSS 24.0 program was used to perform frequency analysis, factor analysis, reliability analysis, regression analysis, and stepwise-regression analysis. The results are as follows. First, fashionableness out of the four attributes of online fashion multi-brand stores (fashionableness, entertainment, variety, and scarcity) influenced the practical and conspicuous values of clothing consumption values. Entertainment had a significant effect on all clothing consumption values. Variety had a significant impact on practical and conspicuous values and the scarcity factor influenced epistemic and conspicuous values. Second, while entertainment, variety, and scarcity influenced sharing intention, fashion, entertainment, and variety influenced purchase intention. Third, online information search moderated the relationship between the perceived attributes of online fashion multi-brand stores and sharing intention but not purchase intention.

• Management Science and Financial Engineering
• /
• v.7 no.1
• /
• pp.27-39
• /
• 2001

The multi-projective model considers attributes and the relationships among attributes called projections. The critical features of the multi-projective model are the way of relating attributes in the description of the system, the way of reasoning incomplete projections, and the determination of connected patterns between projection. In order to get a full picture of the system, we build a set of projections. The multi-projective model can be thought of as projections of a multi-dimensional reality onto simplified “model space”. The multi-projective database modeling approach used in this paper unified the ideas and terminology of various database models. Most importantly, the multi-projective modeling is presented as a tool of database design in the relational and other database models.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.10a
• /
• pp.167-170
• /
• 2000

This paper is concerned with development of a performance evaluation model for material handling system in cellular manufacturing system based on multi-attributes analysis method. We used the AHP(analytic hierarchy process) and fuzzy set ranking methodologies to overcome the special decision problems; those of multi -objective, multi-criterion, and multi-attributes. We proposed a 3-step approaches and we developed a systemic and practical computer program to solve the problems in the proposed methods. Computational experiments are then performed to cellular manufacturing system and show the effectiveness of the proposed model.

• Journal of the Korean Society of Costume
• /
• v.63 no.7
• /
• pp.17-30
• /
• 2013

An understanding of store patronage behavior is a critical issue for retail managers, especially when it comes to a new kind of retail store, as it enables them to identify and target potential customers. Reflecting this managerial need, this study is focused on the fashion multi-brand shop, specifically investigating its store attributes, customers' shopping orientation, and store patronage. Accepting the shifting marketing paradigm from 4P's marketing mix to 7P's marketing mix, the 7P's marketing mix is employed in this study to measure the store attributes, including people(sales oriented and customer oriented), price, place, promotion, physical environment, process, and product. The store attributes significantly influencing patronization are found as customer oriented sales people, product, physical environment, and process. The shopping orientations of the customers, 222 female adults aged from 20s to 40s are found as ostentatious, pleasant, fashion pursuant, rational, and addictive. The consumers who are ostentatious, pleasant, and fashion pursuant are highly likely to be patronize to the fashion multi-brand shops.

• Fashion & Textile Research Journal
• /
• v.18 no.6
• /
• pp.800-811
• /
• 2016

This study aims to extract the multi-channel attributes of Dongdaemun-based fashion brands and consider the effects of these attributes on customer equity, customer satisfaction and re-purchase intention. In total, 493 samples of those who have purchased Dongdaemun-based fashion brand products using multi-channels were collected for the final data analysis, which was performed using SPSS 21.0 and AMOS 18.0. The findings of study are as follows. Among the multi-channel attributes of Dongdaemun-based fashion brands, entertainment and informativeness had a significant effect on all customer equity drivers. In terms of the effects of customer equity drivers on customer satisfaction and re-purchase intention, all customer equity drivers significantly influenced customer satisfaction, while brand equity significantly influenced re-purchase intention. Also, customer satisfaction significantly affected re-purchase intention. In the effective relationship between customer equity drivers and CLV, brand equity causes a significant influence on CLV amongst the customer equity drivers. There were significant differences among groups following the multi-channel shopping orientation of consumers. This study is significant for its scientific focus on the distribution channels of Dongdaemun, and in terms of the practical aspect of identifying the multi-channel attributes considered to be important to consumers. Measuring customer equity will suggest implications about the long-term direction of the development of Dongdaemun-based fashion brands.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.1
• /
• pp.441-448
• /
• 2014

USN(Ubiquitous Sensor Network) application software has a characteristic that it controls a variety of sensor nodes based on the various target operating systems. Accordingly, many researches for efficient development of USN application software are being performed. In this paper, the attributes design technique to support attribute-based development of USN node software for multi-platform is proposed. In the proposed technique, the method to design attributes for modeling Platform Independent Model and Platform Specific Model is presented. When using the proposed technique, productivity of software development will be increased because node software design for multi-platform is easily performed by selecting values of attributes. Also, maintainability of software will be increased because node software is easily regenerated by changing attributes according to the changes of operating systems.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12spc
• /
• pp.375-382
• /
• 2021

The paper introduces a model for evaluating and prioritizing mobile quality attributes and refactoring techniques through the examination of their effectiveness during the mobile application development process. The astonishing evolution of software and hardware has increased the demand for techniques and best practices to overcome the many challenges related to mobile devices, such as those concerning device storage, network bandwidth, and energy consumption. A number of studies have investigated the influence of refactoring, leading to the enhancement of mobile applications and the overcoming of code issues as well as hardware issues. Furthermore, rapid and continuous mobile developments make it necessary for teams to apply effective techniques to produce reliable mobile applications and reduce time to market. Thus, we investigated the influence of various refactoring techniques on mobile applications to understand their effectiveness in terms of quality attributes. First, we extracted the most important mobile refactoring techniques and a set of quality attributes from the literature. Then, mobile application developers from nine mobile application teams were recruited to evaluate and prioritize these quality attributes and refactoring techniques for their projects. A prioritization-based model is examined that integrates the lightweight multi-criteria decision making method, called the best-worst method, with the process of refactoring within mobile applications. The results prove the applicability and suitability of adopting the model for the mobile development process in order to expedite application production while using well-defined procedures to select the best refactoring techniques. Finally, a variety of quality attributes are shown to be influenced by the adoption of various refactoring techniques.

• Journal of Information Technology Applications and Management
• /
• v.16 no.4
• /
• pp.93-107
• /
• 2009

This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.