• Korea Journal of Hospital Management
• /
• v.1 no.1
• /
• pp.203-247
• /
• 1996

This article reviews the art and practice of strategic management process in hospitals today, in order to help hospital administrators for managing strategic management system in their hospitals. The strategic management process model in this article is based on an integrated approach combining traditional environmental model with resource-based model of strategy. The components of the model are consisted of five steps: (1)formulating objectives, strategic assessment by external environmental analysis, internal capability analysis, TOWS analysis and marketing audit, (3)strategy choice considering context and criteria of choice, (4)program implementation through operational planning, resource allocation, and conversion, and (5)control by monitoring and evaluating hospital outputs. This article deals with many aspects of issues inherent in every step on this strategic management process.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.4 no.4
• /
• pp.190-200
• /
• 1996

Step-by-step time integration methods are widely used for solving structural dynamics problem. One difficult yet critical choice an analyst must make is to decide an appropriate time step size. The choice of time step size has a significant effect on solution accuracy and computational expense. The objective of this research is to derive error estimate for newly developed time integration method and develop automatic time step size control algorithm for structural dynamics. A formula for computing error tolerance is derived based on desired period resolution. An automatic time step size control strategy is proposed based on a normalized local error estimate for the generalized-α method. Numerical examples demonstrate the developed strategy satisfies general design criteria for time step size control algorithm for dynamic problem.

• Journal of Information Technology Applications and Management
• /
• v.14 no.1
• /
• pp.117-135
• /
• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.22 no.3
• /
• pp.353-364
• /
• 1998

Consumer knowledge has been discussed as an important concept to understand information processing such as information search and evaluation process. It has been defined as the amounts and contents of information in consumer's memory accumulated by experiences. According to literature review, experts who have much knowledge are likely to retrieve their information related to products for a purchase efficiency. Therefore, they are likely to simplify the information processing for a choice. The purpose of this study was to examine the relationship between clothing product knowledge and evaluative criteria for a purchase. The results were as follows; First, it was found out that evaluative criteria were composed of four dimensions such as the management, the esthetic, the fitness and the brand. Therefore, it is implied that evaluative criteria for purchasing clothing products were multidimensional. Second, the level of objective knowledge was low, and consumers perceived that they didn't have much knowledge related with clothing products. Also, the relationships between objective and subjective knowledge were positive but low. Third, the evaluative criteria were effected by the level of consumer's knowledge significantly. In subjective knowledge, the subjects in a high group considered all criteria more deeply than in a low group. But there was a significant difference only in the esthetic between two groups in objective knowledge. The results of this study imply that consumer knowledge may influence evaluation process. Knowledgeable consumer would consider product attributes deeply for evaluating clothing products, and especially, the esthetic would be an important factor as an attribute including the instrumental and expressive functions in a purchase phase. Therefore, consumer knowl- edge would be a basis of predicting expert's information processing and managing heavy buyer or loyal consumers in apparel industry.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.34 no.1
• /
• pp.42-51
• /
• 2011

Poisson model and Gamma-Poisson model are popularly used to analyze statistical behavior from defective data. The methods are based on binary criteria, that is, good or failure. However, manufacturing industries prefer polytomous criteria for classifying manufactured products due to flexibility of marketing. In this paper, I introduce two multivariate Gamma-Poisson(MGP) models and estimation methods of the parameters in the models, which are able to handle polytomous data. The models and estimators are verified on defective pixels of LCD manufacturing. Experimental results show that both the independent MGP model and the multinomial MGP model have excellent performance in terms of mean absolute deviation and the choice of method depends on the purpose of use.

• Fashion & Textile Research Journal
• /
• v.4 no.2
• /
• pp.188-191
• /
• 2002

The hair designers are fashion leaders who affect hair color of people. Therefore, the purpose of this study is to give some tips to satisfy customers through surveying hair designers most like color and the criteria of products choice. To have practical result, I use survey method. I took 120 hair designers who work for Park Jun beauty salon for the survey data. Among these data, I used 103 for the final data of analysis. The results are following, male hair designers like natural brown and blue coral color for hair coating. In addition, they like black color for coloring. Female hair designers like much more various color, they like orange color for coating and natural brown for coloring. Hair designers much more satisfied for international brand goods in all criteria except price. All of hair designers have favorite goods for the quality and brand image. Therefore domestic brands need much more effort to improve quality and its brand image.

• Journal of Information Processing Systems
• /
• v.12 no.3
• /
• pp.358-380
• /
• 2016

In order to considerably reduce the ambiguity rate, we propose in this article a disambiguation approach that is based on the selection of the right diacritics at different analysis levels. This hybrid approach combines a linguistic approach with a multi-criteria decision one and could be considered as an alternative choice to solve the morpho-lexical ambiguity problem regardless of the diacritics rate of the processed text. As to its evaluation, we tried the disambiguation on the online Alkhalil morphological analyzer (the proposed approach can be used on any morphological analyzer of the Arabic language) and obtained encouraging results with an F-measure of more than 80%.

• Journal of the Ergonomics Society of Korea
• /
• v.6 no.2
• /
• pp.29-37
• /
• 1987

This paper discusses the gereral principles to be considered in the design of usef interfaces of graphics packages and presents a top-down design process in systematic way. The effective and convenient user interfaces are analyzed based on human factors criteria and we discuss the properties and application requirements of typical interaction techniques which support primitive tasks. The choice of an interaction technique has a set of input device prerequisites to be met.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.12
• /
• pp.6204-6210
• /
• 2013

This study examined adomestic firm's perspective on how their choice of partner selection criteria affects the mediating variables and the performance of international strategic alliances with particular reference to previous experience as a moderating variable. The findings of this study showed that the task-related and partner-related criteria are both positively related to trust and commitment but the results concerning the partner-related criteria repudiates the existing practices that domestic firms select foreign partners based on the partners' attributes because this weaken the commitment of the partnership. This study suggests that firms should revise their partner selection criteria, which will eventually lead to the more desirable performance of international strategic alliances.

• Journal of Korean Institute of Industrial Engineers
• /
• v.37 no.4
• /
• pp.358-366
• /
• 2011

Multi-criteria ABC inventory classification, which aims to classify inventory items by considering more than one criterion, is one of the most widely employed techniques for inventory control. The weighted linear optimization (WLO) model proposed by Ramanathan (2006) solves the problem of multi-criteria ABC inventory classification by generating a set of criterion weights for each inventory item and assigning a normalized score to the item for ABC analysis. However, the WLO model has some limitations. First, many inventory items can share the same optimal score, which can hinder a precise classification of inventory items. Second, the model allows too much flexibility in weighting multiple criteria; each item is allowed to choose its own weights so that it can maximize its score. As a result, if an item dominates the others in terms of a certain criterion, it may be classified into a higher class regardless of other criteria by assigning an overwhelming weight to the criterion. Consequently, an item with a high value in an unimportant criterion and low values in others may be inappropriately classified as class A, leading to an inaccurate classification of inventory items. To overcome these shortcomings, we extend the WLO model by using the cross-efficiency method in data envelopment analysis. We claim that the proposed model can provide a more reasonable and accurate classification of inventory items by mitigating the adverse effect of flexibility in the choice of weights and yielding a unique ordering of inventory items.