• Management Science and Financial Engineering
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• v.9 no.2
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• pp.21-45
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• 2003

Various organizational factors effect successful implementation of IT enabled business transformation. Among them, the most critical success factor is deemed to overcoming change management problem. Lots of studies have been made on implementation methodologies and business process formalizations to encourage organizational members to accept new business process changes. However, the logic of process redesign still depends on qualitative problem solving techniques mostly depending on basically human intuition such as brainstorming, cause-and-effect analysis, and so on. In this paper, we develop algorithmic procedure applicable to designing various business process changes such as process automation, business process resequencing, and more radical process integration. The framework is employed from dynamic programming approach in the literature, which is based on the decision making paradigm of organizations to abstract business processes as quantitative decision models. As such, our research can fill the gap of limited development of theory based analytic methodologies for business process design, by providing objective rationale to reach the consensus among the organizational members including senior management.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.285-309
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• 2001

The industry information grows faster than any other information resources in the Internet age. Unfortunately, however, there is no consensus on the standard of the classification among the information providers of the industry fields. This may a problematic issue not only in building a continuous and systematic development of the industry information, but also in the use of the information among the users. This study aims to propose a well-structured and/or an efficient classification scheme for the industry information to help the users with easy to retrieve the Internet resources. To do this, we analyzed the subject classification scheme of the domestic industry information on the web sites, which is largely adopted the \"Korean Standard for the Industry Classification\". In addition, we suggested the principle of the subject classification and their hierarchial structure derived from the analysis of the knowledge and document classification scheme. As a result, it was suggested an optimized industry classification scheme based on the analysis of the validity test of classification item measured by the quantitative analysis of the industry information, which it currently accessible through the Internet. Internet.

• Culinary science and hospitality research
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• v.8 no.2
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• pp.37-58
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• 2002

Up to these days, hotels are assumed to compete each other. Due to the spread of high quality the hotel restaurants have begun to face an intensive competition. Hotel food at Beverage have become the more competitive along with fund, good price, service, quality food, and management know-how. It causes the hotel restaurants confront with management difficulties. In order to overcome the management difficulties, hotel restaurants have to improve their marketing abilities and especially to improve their service quality. For this, it is necessary fur hotel restaurants to investigate how their service providers and receivers recognize their service quality. In this research, we examined the cognitive three types of cognitive gaps among customers, service providers, and managers both on the service quality and on the positioning of hotel restaurants. Their cognitive gaps proved negatively correlated with hotel's performance. This research suggests the following findings. Firstly, the competitiveness of hotel restaurant depends on the accurate communication and consensus among managers, service providers, and customers. Secondly, using the information about cognitive gaps recognized, each hotel restaurant should develop concrete marketing plans and strategies with a careful consideration about its current competitive position and management condition.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.7
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• pp.974-988
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• 1995

In this paper, we propose a range image segmentation algorithm using robust regression. We derive a least $\kappa$th-order square (LKS) method by generalizing the least median of squares (LMedS) method and compare it with the conventional robust regressions. The LKS is robuster against outliers than the LMedS and shows performance similar to the residual consensus (RESC). The RESC uses the predetermined number of sorted residuals, whereas the LKS uses an adaptive parameter determined by given observations rather than the a priori knowledge. Computer simulation with synthetic and real range images shows that the proposed LKS algorithm gives better performance than the conventional ones.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1787-1795
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• 2007

The objectives of this paper are to introduce the PI(Public Involvement) in railway project and case study about public participation in decision making process for Ko-Yang light rail line development, besides to emphasize the importance of information considering the difference of resident location, regional character and so on are investigated before and after public participation. As the results, it was clarified about PI activities styles that consensus is not achieved in Ko-Yang public participation, the psychological factor such as the knowledge and satisfaction, receptivity about light rail project strongly is affected to making decision.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2831-2845
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• 2022

Compared to the significant approach of project-based learning research, a data-driven design project-based learning has not reached a meaningful consensus regarding the most valid and reliable method for assessing design creativity. This article proposes an advanced information data-interactive learning system for creative design using a service design process that combines a design thinking. We propose a service framework to improve the convergence design process between students and advanced information data analysis, allowing students to participate actively in the data visualization and research using patent data. Solving a design problem by discovery and interpretation process, the Advanced information-interactive learning framework allows the students to verify the creative idea values or to ideate new factors and the associated various feasible solutions. The student can perform the patent data according to a business intelligence platform. Most of the new ideas for solving design projects are evaluated through complete patent data analysis and visualization in the beginning of the service design process. In this article, we propose to adapt advanced information data to educate the service design process, allowing the students to evaluate their own idea and define the problems iteratively until satisfaction. Quantitative evaluation results have shown that the advanced information data-driven learning system approach can improve the design project - based learning results in terms of design creativity. Our findings can contribute to data-driven project-based learning for advanced information data that play a crucial role in convergence design in related standards and other smart educational fields that are linked.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.11
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• pp.281-288
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• 2018

The block chain, which is characterized by a distributed ledger that stores the same data in several places, has various technical features including security and stability. Due to these characteristics, various researches are being conducted on the application of the block chain. In this paper, we consider the issues to be considered for applying the block chain to the Korea Real Estate Administration Intelligence System (KRAS). Based on this, we propose a block chain reference model for KRAS including a system configuration method and a consensus algorithm.

• Korean Journal of Legislative Studies
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• v.17 no.3
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• pp.117-143
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• 2011

이 연구는 선거에서 후보자들의 정책 입장(issue stance)을 유권자들이 어떻게 판단하고 인식하는 지 살펴본다. 기존의 연구들은 후보자들의 정책에 대한 유권자들의 인식을 설명하는 데서 캠페인 정보(campaign information)의 직접적인 영향을 제대로 고려하지 않았다. 이 논문은 후보자 정책 입장에 대한 캠페인 정보가 과연 유권자들의 인식에 직접적인 영향을 미치는 지 미국에서 이루어진 실험 데이터를 이용하여 분석한다. 아울러 투영 효과(projection effect)나 허구적 일치성 효과(false consensus effect) 등 기존의 연구에서 제시된 설명들이 이러한 캠페인 정보의 영향을 감안했을 경우에도 여전히 유효한 지 살펴본다. 실험 데이터의 분석 결과는 캠페인 정보가 후보자 정책에 대한 유권자들의 판단에 직접적인 영향을 미치며, 이러한 캠페인 정보의 영향을 감안했을 때 투영 효과는 여전히 유효한 반면 허구적 일치성 효과는 상대적으로 약하게 나타난다는 것을 보여준다.

• Journal of the Korean Society for Library and Information Science
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• v.8
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• pp.73-101
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• 1981

Retrieval effectiveness is the principal criterion for measuring the performance of an information retrieval system. The effectiveness of a retrieval system depends primarily on the extent to which it can retrieve wanted documents without retrieving unwanted ones. So, ultimately, effectiveness is a function of the relevant and nonrelevant documents retrieved. Consequently, 'relevance' of information to the user's request has become one of the most fundamental concept encountered in the theory of information retrieval. Although there is at present no consensus as to how this notion should be defined, relevance has been widely used as a meaningful quantity and an adequate criterion for measures of the evaluation of retrieval effectiveness. The recall and precision among various parameters based on the 'two-by-two' table (or, contingency table) were major considerations in this paper, because it is assumed that recall and precision are sufficient for the measurement of effectiveness. Accordingly, different concepts of 'relevance' and 'pertinence' of documents to user requests and their proper usages were investigated even though the two terms have unfortunately been used rather loosely in the literature. In addition, a number of variables affecting the recall and precision values were discussed. Some conclusions derived from this study are as follows: Any notion of retrieval effectiveness is based on 'relevance' which itself is extremely difficult to define. Recall and precision are valuable concepts in the study of any information retrieval system. They are, however, not the only criteria by which a system may be judged. The recall-precision curve represents the average performance of any given system, and this may vary quite considerably in particular situations. Therefore, it is possible to some extent to vary the indexing policy, the indexing policy, the indexing language, or the search methodology to improve the performance of the system in terms of recall and precision. The 'inverse relationship' between average recall and precision could be accepted as the 'fundamental law of retrieval', and it should certainly be used as an aid to evaluation. Finally, there is a limit to the performance(in terms of effectiveness) achievable by an information retrieval system. That is : "Perfect retrieval is impossible."

• Journal of Korean Society of Archives and Records Management
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• v.18 no.2
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• pp.109-133
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• 2018

The need for the records management of administrative information dataset has led to a broad consensus among archivists and has been continuously studied. In the meantime, information technology has greatly advanced, and the development and redevelopment of information management systems have been increasing. Nevertheless, dataset management in information management system has not been practiced in public organizations. This is because it is supposed that no practical management plan exists. From the point of view that practical dataset management methods should be based on the reality of dataset creation and management environment, this study investigates various active datasets in working administrative information systems. The examples and the information drawn from the examination are expected to contribute to dataset management planning. Moreover, the research methods can be utilized in further studies.