• Journal of KIISE:Computing Practices and Letters
• /
• v.10 no.2
• /
• pp.174-188
• /
• 2004

In the life environment changed with not only the quality and the price of the products but also the material abundance, it is the most crucial factor for the strategy of product sales to investigate consumer's sensibility and preference degree. In this perspective, it is necessary to design and merchandise the products in cope with each consumer's sensibility and needs as well as its functional aspects. In this paper, we propose the Fashion Design Recommender Agent System (FDRAS-pro) for textile design applying collaborative filtering personalization technique as one of the methods of material development centered on consumer's sensibility and preference. For a collaborative filtering system based on textile, Representative-Attribute Neighborhood is adopted to determine the number or neighbors that will be used for preferences estimation. Pearson's Correlation Coefficient is used to calculate similarity weights among users. We build a database founded on the sensibility adjectives to develop textile designs by extracting the representative sensibility adjectives from users' sensibility and preferences about textile designs. FDRAS-pro recommends textile designs to a customer who has a similar propensity about textile. To investigate the sensibility and emotion according to the effect of design factors, fertile designs were analyzed in terms of 9 design factors, such as, motif source, motif-background ratio, motif variation, motif interpretation, motif arrangement, motif articulation, hue contrast, value contrast, chroma contrast. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our system.

• Journal of Internet Computing and Services
• /
• v.20 no.6
• /
• pp.85-93
• /
• 2019

Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean's information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.

• The Journal of the Korea Contents Association
• /
• v.12 no.9
• /
• pp.479-488
• /
• 2012

The purpose of this study was to determine the impact in visitors' spending on two separate local festivals, and to present the improved market strategies to attract visitors to revisit the local festivals. This study was also intended to suggest the ways to increase the competitiveness and revitalize the local festivals by improving the existing attractions and creating new attractions based on the visitors' evaluation. On the purpose of the study, we studied the visitors of two local ricefests, Icheon Rice Cultural Festival and Rice Festival in Jincheon Chungbuk, and estimated the determinants influencing the visitors' spending to the festivals by applying Tobit model. Finally, to estimate the behavioral differences in visitors of the two festivals, we compared the estimated determinants for the visitors of each festival by using Log-likelihood Ratio, and analyzed the differences in the factors influencing the visitors' spending. Summarizing the propensity of visitor's spending to local festivals, visitors of two rice festivals buy or tended to buy things on impulse. Therefore, festival industry needs to take measures to efficiently accommodate their expenditures from the stage of designing festivals.

• Journal of Distribution Science
• /
• v.15 no.3
• /
• pp.61-72
• /
• 2017

Purpose - The ICT development is affecting the consumer behaviors in selecting channel or distribution system. This study aims to advance the theory on the influence and interaction with omni-channel behaviors. Specifically, analyzing moderating variable is category knowledge that effect between propensity of brand loyalty and its precedence factor which is perceived difference, perceived value, authenticity and consumer-brand relationship. Research design, data, and methodology - The subject of this research is consumers who purchase goods in omni-channel situation. The hypothesis of this research is derived from the literature of the preceding research analysis on brand loyalty, omni-channel and consumer behaviors. This study have constructs that were defined operationally with reference to previous studies, and the research model was designed to figure out the structural relationship among perceived difference, perceived value, authenticity, consumer-brand relationship and brand loyalty. From 2016 Sept. 1 to Dec. 31, a questionnaire survey was performed targeting customers using omni-channel. 327 questionnaire survey had conducted. 316 survey data were used for empirical analysis except data that had missing and wrong value. AMOS(structural equation) was used to confirm the hypothesis which developed by researcher. Results - The results of this study are as follows. First, an authenticity has significant effect on brand loyalty. Second, in the omni-channel situation, but perceived differentiation, perceived value, consumer-brand relationship does not affect brand loyalty. According to this result, it is judged that it is easy to search for information in the situation of omni-channel and integrated decision making is done without distinction between channels. Third, category knowledge has moderating effect between brand loyalty and precedence factors. When the category knowledge level is low, preceding factors have a significant effect on brand loyalty. when the category knowledge level is high, the preceding factors did not have a significant effect on brand loyalty except the authenticity. Conclusions - This study finds out omni-channel's phenomenon is different from other distribution channel phenomenon. In the situation of omni-channel, it is suggested that brand loyalty may be relatively low for a certain brand because it raises the knowledge level of the category. Then this study provides a managerial implications based on the role of the moderate effect on category knowledge, brand loyalty and omni-channel.

• The Journal of the Korea Contents Association
• /
• v.20 no.3
• /
• pp.164-178
• /
• 2020

This study was intended to study how social responsibility of small businesses affected tax avoidance. Specifically, it was intended to verify how social responsibility is influenced by tax psychological factors and how it is related to tax avoidance by making it an economic liability factor, an ethical liability factors. For him, the empirical data were reviewed, the questionnaire was prepared, and the collected data was analyzed using SPSS ver. 22.0 and PROCESS MACRO ver. 3.4. The verification showed that corporate economic and ethical responsibilities affected tax avoidance and that legal responsibility did not affect tax evasion, and that tax psychological factors mediated some of the effects of social responsibility on tax avoidance. Judging from the above results, it is doubtful that the prevention of tax evasion would require tax incentives to offset the costs incurred by an enterprise's economic responsibilities, and to establish a strict tax code to prevent one or two tax evasions from spreading throughout the group. In this study, however, there are limitations that arise from differences between variables omitted from the research model and methods of measuring tax hedges. Therefore, further studies using a wider variety of variables are required in subsequent studies.

• Korean journal of communication and information
• /
• v.29
• /
• pp.43-71
• /
• 2005

The study attempts to introduce 'Gotcha Journalism' to the Korea journalism, research and analyze it. Gotcha journalism is the journalistic reporting attitude that the journalists repeatedly and intensively reports public figures, especially politicians' mistakes or happening. 'Gotcha' is abbreviation of "I got you", frequently used in the English and American culture. In order to get the goal of this study, several journalists who are currently working for Chosun, Joongang, Dong-a, Hangyore, Kyunghyang and Seoul, national covering daily newspapers. In addition, the reporters who work for KBS, MBC, and SBS were Interviewed. All journalists who have been worked more than 5 years at the politic department were selected as interviewees. Thus, Intensive interviews are prime source of this study. Based the result of the research, gotcha journalism is externally derived from obsessive interest of Korean people to politics. Internally, it is easy to report happening or mistakes rather than big argument or ideological agenda of the politicians as news for journalists and to catch readers. In addition, the competition with advertising income accelerates this situation. And gotcha journalistic reporting behavior or attitude highly relates to political propensity of the newspapers or broadcastings. Especially some of the newspapers take gotcha journalism as a political struggling tool. It is appeared that another major cause for gotcha journalistic reporting behavior is customer-driven news production.

• Journal of Distribution Research
• /
• v.13 no.3
• /
• pp.101-125
• /
• 2008

This research suggests an ideal role between franchisee and franchisee for survival and development of the Korean franchise business by identifying causal relationships between entrepreneurship of franchisees and their business performance. Besides, when considering multi-dimensional features of a franchise system, this study aims to show that the market orientation of the franchisee and the relationship commitment between franchisee and franchisee will play an important mediating role to achieve a better business performance. Thus specific causal relationships among sub-dimensional constructs of entrepreneurship and market orientations were investigated. They are innovativeness, risk-taking propensity, pro-activeness, information creation, intelligence generation, intelligence dissemination, response design, response implementation. The results demonstrate that pro-activeness of franchisee plays a crucial role for franchisee's business performance. It was noted that franchisor's market orientation and innovativeness is also important for high market orientation of franchisor. The higher the market orientation of franchisor was, the higher relationship commitment of franchisee was formed. By identifying the mediation effect of relationship commitment and market orientation of franchisor, this paper showed that relationship commitment positively affect the improvement of franchisee's business performance. Above all, it should be noted that this research empirically identified the relationship between franchisee's entrepreneurship and business performance that most of the previous researchers have ignored. Furthermore, the analysis was conducted at sub-dimensional construct level. It is expected that empirical results from this study will be able to provide a meaningful framework and theoretical basis for future research on franchise, entrepreneurship and market orientation.

• 대한공업교육학회지
• /
• v.43 no.2
• /
• pp.114-131
• /
• 2018

This study is to develop a competence model for school principals that provides effective career and vocational education (CVE) at middle schools. This model can be used as an indicator for identifying the expertise levels of principals in CVE and to help them develop the necessary skills. Research methods included literature review, basic research, the Delphi technique, analytic hierarchy process (AHP), and surveying. The results were as follows. The competence model for CVE for middle school principals consisted of three competence groups, nine competence elements, and 67-item behavior indicators. First, the three competence groups included the competence to build a school system for CVE, the competence to support CVE at school, and the competence to create a school environment for CVE. Competence to support CVE at school turned out to be most important in the AHP analysis. Second, competence elements included goal management, performance management, the creation of educational culture, support for educational activities, support for school curriculum, support for students, human resources management, resource management and community management. According to the AHP analysis, support for school curriculum was the most significant among the nine competence elements. Third, the behavior indicators were identified items in three areas: 18 items for individual propensity, 18 items for knowledge, and 31 items for performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.455-458
• /
• 2013

The conventional design of the information system architecture based on the personal experience of information systems has been acted as a limit in progress utilizing appropriate resource allocation and performance improvements. Architecture design depending on personal experience makes differences in variance of a designer's experience, intellectual level in related tasks and surroundings, and architecture quality according to individual's propensity. After all these problems cause a waste of expensive hardware resources. At working place, post-monitoring tools are diversely developed and are running to find the bottleneck and the process problems in the information operation. However, there are no simulation tools or models that are used for expecting and counteracting the problems at early period of designing architecture. To solve these problems we will first develop a simulation model for designing information system architecture in a pilot form, and will verify validity. If an error rate is found in the permissible range, then it can be said that the simulation reflects the characteristic of information system architecture. After the model is developed in a level that can be used in various ways, more accurate performance computation will be able to do, getting out of the old way relying on calculations, and prevent the existence of idle resources and expense waste that comes from the wrong design of architecture.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.2
• /
• pp.193-200
• /
• 2014

Due to the advent of ubiquitous computing environment, it is becoming a part of our common life style. And tremendous information is cumulated rapidly. In these trends, it is becoming a very important technology to find out exact information in a large data to present users. Collaborative filtering is the method based on other users' preferences, can not only reflect exact attributes of user but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, we propose clustering method by user's features based on SOM for predicting purchase pattern in u-Commerce. it is necessary for us to make the cluster with similarity by user's features to be able to reflect attributes of the customer information in order to find the items with same propensity in the cluster rapidly. The proposed makes the task of clustering to apply the variable of featured vector for the user's information and RFM factors based on purchase history data. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.