• The Research Journal of the Costume Culture
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• v.9 no.2
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• pp.223-234
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• 2001

The purpose of this study was to investigate the effect of demographics and general buying characteristics of knitwear consumers on their buying decision-making process. In this study, a self-administered questionnaire was distributed to young career women and female undergraduate students. of 580 questionnaires, 496 were used in the following analysis. The data was analyzed with SPSS package. T-test, one-way ANOVA and x² analysis were used to investigate the impact of characteristics of the consumers on their demographics. The high school graduate-career women group, relative to other groups, showed significant differences in practical aspects in buying knitwear. Second, the knitwear buying places of consumers were significantly different depending on the demographics and general buying characteristics of knitwear. The higher annual knitwear buying expenses and the lower knitwear buying frequency, the more a consumer shopped in department stores. Third, the knitwear satisfaction level of consumers was significantly different depending on their demographics and general buying characteristics of knitwear. career women relative to female undergraduate students showed significant differences in satisfaction with design, quality and yarns.

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.251-254
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• 2000

The critical problem in dealing with multiple characteristics is how to compromise the conflict among the selected levels of the design parameters for each individual characteristic. In this study, First, Methodology using SN ratio optimized by univariate technique is proposed and a parameter design procedure to achieve the optimal compromise among several different response variables is developed. Second, to solve the issue on the optimal design for multiple quality characteristics, this study modelled the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms. The model will be used to determine the global optimal design parameters where there exists the conflict among the characteristics, which shows difference in optimal design parameters for the individual characteristics. Third, this paper propose a decision model to incorporates the values assigned by a group of experts on different factors in weighting decision of characteristic. Using this model, SN ratio of taguchi method for each of subjective factors as well as values of weights are used in this comprehensive method for weighting decision of characteristic.

• International Journal of Highway Engineering
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• v.18 no.5
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• pp.105-115
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• 2016

PURPOSES : This study was initiated to analyze the characteristics of bus traffic accidents, by bus types, using the decision tree in order to establish customized safety alternatives by bus types, including the intra-city bus, rural area bus, and inter-city bus. METHODS : In this study, the major elements involved in bus traffic accidents were identified using decision trees and CHAID algorithm. The decision tree was used to identify the characteristics of major elements influencing bus traffic accidents. In addition, the CHAID algorithm was applied to branch the decision trees. RESULTS : The number of casualties and severe injuries are high in bus accidents involving pedestrians, bicycles, motorcycles, etc. In the case of light injury caused by bus accidents, different results are found. In the case of intra-city bus accidents, the probability of light injury is of 77.2% when boarding a non-owned car and breaching of duty to drive safely are involved. In the case of rural area bus accidents, the elements showing the highest probability of light injury are boarding an owned car, vehicle-to-vehicle accidents, and breaching of duty to drive safely. In the case of intra-city bus accidents, boarding owned car, streets, and vehicle-to-vehicle accidents work as the critical elements. CONCLUSIONS : In this study, the bus accident data were categorized by bus types, and then the influential elements were identified using decision trees. As a result, the characteristics of bus accidents were found to be different depending on bus types. The findings in this study are expected to be utilized in establishing effective alternatives to reduce bus accidents.

• Journal of Korean Society for Quality Management
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• v.31 no.4
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• pp.150-163
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• 2003

The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.

• Korea Journal of Hospital Management
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• v.4 no.2
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• pp.305-329
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• 1999

Financial ratio indicators of the 46 sample hospitals provided by the Korea Health Industry Development Institute, together with the survey data responded by the 57 sample hospitals, were analysed to identify the characteristics of the red-figured hospitals' financial structure, financial operational efficiency and management decision-making behavior, The financial characteristics identified through the analysis include high dependency to liabilities, high salary expenses and overhead costs, low profitability of the unduly large amount of fixed assets, and low managerial efficieny of inventory. The hospitals, in face of the IMF economic impasse, took the necessary decision-making and counter measures to cut down salary expenses, to increase the number of patient and medical revenue, and to reduce investment to fixed assets. Based on these findings this study suggested that the hospitals should take more active cost containment measures, financial structural reorganization, and developoment of the strategies that can contribute to increase of the number of patient and medical revenue and that do not. require much capital funds.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.125-142
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• 1999

The increased investment in technological innovations makes the investigation of factors affecting technology adoption more interesting. Several perspectives have been proposed to explain the determinants of information technology adoption. While the traditional innovation diffusion research streams try to explain and predict adoption behavior with the adopter's perceptions about the characteristics of the innovation itself, critical mass theorists argue that adoption behavior as a collective action is based on what their business partners are doing and whether there exists enough critical mass to justify the investment. Drawing on theses two perspectives, this study investigates the decision criteria in the adoption of information technology as innovation and factors affecting the decision criteria. The survey results reveal that the adoption behavior is affected both by innovation characteristics and by critical mass's activity. Correlation analysis, t-test, and stepwise regression models also show that as the environmental uncertainty is getting higher, adoption decision is affected more by what others are doing, and that highly competitive organizations seem to play the role of critical mass.

• Journal of Korean Academy of Nursing
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• v.43 no.1
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• pp.1-10
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• 2013

Purpose: The purpose of this study was to develop a prediction model for the characteristics of older adults with depression using the decision tree method. Methods: A large dataset from the 2008 Korean Elderly Survey was used and data of 14,970 elderly people were analyzed. Target variable was depression and 53 input variables were general characteristics, family & social relationship, economic status, health status, health behavior, functional status, leisure & social activity, quality of life, and living environment. Data were analyzed by decision tree analysis, a data mining technique using SPSS Window 19.0 and Clementine 12.0 programs. Results: The decision trees were classified into five different rules to define the characteristics of older adults with depression. Classification & Regression Tree (C&RT) showed the best prediction with an accuracy of 80.81% among data mining models. Factors in the rules were life satisfaction, nutritional status, daily activity difficulty due to pain, functional limitation for basic or instrumental daily activities, number of chronic diseases and daily activity difficulty due to disease. Conclusion: The different rules classified by the decision tree model in this study should contribute as baseline data for discovering informative knowledge and developing interventions tailored to these individual characteristics.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.9-24
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• 1986

This study aims at providing the data in order to understand home management and to mange home efficiently through attempting systems approach to home management focused on purchase decision making and marital role structure. For the purpose of this study, regarding housing purchase decision making process as a system, environmental characteristics as inputs, marital role structure and the satisfaction of purchase management as outputs, relation between inputs and outputs; the understanding about these components was established as research problem. And then the framework of analysis being based on theoretical references was suggested, and questionnaires were administrated to housewives. The result of this study is as follows: 1) Marital role structure was differently shown according to the phases of decision making process. 2) Marital role structure was differently shown according to the level of environmental characteristics. 3) The statisfaction of purchase manag ment was influenced by environmental characteristics. According to these results, home management can be understood in the view of system. That is, the morphostatic characteristics of family system can be grasped in environmental supra system in conideration of the structure of managerial sub system; the morphogenic characteristics of family system can be grasped centering on the relationship to environment.

• Management & Information Systems Review
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• v.7
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• pp.365-379
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• 2001

The contents of summarizing this study are as follows. 1. The elements of ethical decision making depend upon the individual characteristics. 2. The elements of ethical decision making depend upon the two aspects of the individual characteristics. 3. The ethical decision making processes of business managements consist of the three steps of utilitarianism, individual righteousness, fair distributions. 4. The ethical decision making processes of multinational corporations consist of the three steps of utilitarianism, individual righteousness, and fair distributions. The utilization methods of this study are as follows. 1. They can be reflected in the formulations of business ethics codes. 2. They can be utilized in the executions of business ethics educations. 3. They can be utilized as means to heighten the ethics standards of business interests groups.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.2
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• pp.160-169
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• 2024

Purpose: This study aimed to identify the career decision profiles for nursing students and analyze their career barriers, preparation behaviors, decision-making self efficacy, and adaptability according to the career decision profiles. Methods: This cross-sectional study used content analysis. A total of 219 nursing students enrolled in two private Korean universities participated in this study. The data were collected in person and via email between December 8 and 31, 2020. Results: The decidedness and comfort results were statistically significant. Four clusters were identified: undecided-uncomfortable, decided-uncomfortable, decided-comfortable, and undecided-comfortable. Most participants were found to be decided-uncomfortable, followed by decided-comfortable, undecided-uncomfortable, and undecided-comfortable. The self efficacy scores were higher for the decision-comfortable profile than for the undecided-uncomfortable and decided-uncomfortable profiles. The mean adaptability scores were higher for the decision-comfortable profile than for the undecided-comfortable profile. Career barriers were negatively correlated with preparation behavior, decision-making self efficacy, and adaptability, while preparative behaviors were positively correlated with decision-making self efficacy and adaptability. Decision-making self efficacy was positively correlated with adaptability. The mean career barriers, preparation behaviors, decision-making self efficacy, and adaptability scores differed significantly across profiles. The mean career barrier score was higher for the undecided-uncomfortable than for the decided-comfortable profile; preparation behaviors exhibited no significant differences. Conclusion: Tailored career coaching and counseling programs based on personal characteristics and areas of interest are needed for freshmen and senior nursing students to reduce career barriers and to improve preparation behaviors, decision-making self efficacy, and adaptability.