• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.217-227
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• 1997

There are six perspectives of fit in strategy research, each implying distinct theoretical meaning and requiring the use of specific analytical schemes. But there is a few literature of the perspective in the discipline of Organizational Decision-Making and DSS. This study is a prior research which objective is to investigate the perspective of fit emprically in the discipline. The data were collected throughout the sampled business firms with premade questionaire and analysis were conducted with correlation analysis, regression, ANOVA and so forth. The research finding is that both predictors, one of which can be the moderator, influence the performance, and that the joint-effect of them influence the performance. Thus,'Fit as Moderation' would be suggested to be a proper model for the research in the discipline of Organizational Decision-Making and Decision Support Systems.

• Journal of muscle and joint health
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• v.20 no.3
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• pp.214-224
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• 2013

Purpose: The purpose of this study was to identify the differences in preference for terminal care between hospitalized patients and nurses. Methods: A cross-sectional descriptive design was used in 79 patients and 107 nurses. The data were collected from August to October 2011, using the Preference for Care near the End of life Scale - Korean Version (PCEOL-K) with 5-point scale of 26 items. The reliability of the tool was Cronbach's ${\alpha}=.74$. Results: The mean score (SD) of PCEOL-K's sub-dimensions in nurses' priority was: (a) pain $3.70{\pm}0.63$, (b) spirituality $3.63{\pm}0.61$, (c) family $3.40{\pm}0.70$, (d) autonomous decision making $2.30{\pm}0.66$, and (e) decision making by healthcare professionals $2.14{\pm}0.64$. In patients' priority, the $M{\pm}SD$ score of each sub-dimension was: (a) pain $3.86{\pm}0.65$, (b) family $3.83{\pm}0.57$, (c) decision making by healthcare professionals $3.37{\pm}0.85$, (d) spirituality $3.01{\pm}0.80$, and (e) autonomous decision making $2.43{\pm}0.63$. Results indicated significant differences between nurses and patients regarding decision making by healthcare professionals (t=-11.28, p<.001), family (t=-4.66, p<.001), and spirituality (t=5.71, p<.001). Conclusion: The PCEOL-K of patients was higher than nurses'. A terminal care program for hospitalized patients at the end of life should be planned according to the results of PCEOL-K in nurses and patients.

• Journal of muscle and joint health
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• v.20 no.3
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• pp.197-206
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• 2013

Purpose: The purpose of this study was to investigate end-of-life care preferences of employees working in a university hospital. Methods: Of 650 eligible employees that were approached, 607 employees (386 nurses, 93 physicians, and 128 general staff) completed the Korean version of Preferences for Care Near the End of Life (PCEOL-K). Results: Among 5 dimensions of the PECOL-K, "Pain" was the most preferred care dimension and "Decision making by health care professional" was the least preferred care dimension. The item that received the highest mean score was "I want to let nature guide my dying and I do not want my life to be artificially prolonged in any way", and the lowest item was "I want health care providers to make all decisions about my care". As preferred care near the end of life, nurses gave lower scores to the life sustaining treatment and decision making by health care profession than physicians and general staff. Compared to physicians and nurses, general staff preferred the decision making by health care professional and by family. Conclusion: The results show that adequate pain relief is the most preferred care at the end of life among hospital employees and non-medical personnel preferred decision making by others.

• Journal of the Korean Home Economics Association
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• v.19 no.4
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• pp.73-84
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• 1981

The purpose of this study was to examine the conjugal role structure in the purchasing decision process : problem precognition, information seeking and evaluating, final decision, and actually making the purchase, through a survey of the degree of conjugal involvement. The specific objectives were 1) to examine the conjugal role structure and differences at each phase of the decision process in purchasing of residence and twelve durable household consumer goods, 2) to determine the differences between conjugal role structure in each phase of the purchasing decision process and conjugal demographic factors(number of years married, conjugal education level, conjugal occupation, and income). Questionnaires were given to randomly selected husbands and wives in /seoul I October, 1980. data from the 275 responses were analyzed by percentage, mean, and F-test(analysis of variance). The results are as follows : 1) The conjugal role structure for the purchasing decision process of residence and twelve durable household consumer goods was analyzed by percent. It was found that role structure was specialized by the type of item. for instance, furniture and home appliances were purchased by wives; amusement goods and cars were purchased by husbands' and residence was purchased by joint. However, conjugal role structure in the purchasing decision process differed by phased of process : (1) Wives involvement in the phase of problem recognition was greater than their involvement in information seeking and evaluating, but husbands' involvement a in the phase of information seeking and evaluating was slightly greater than their involvement in problem recognition. (2) Husbands' involvement in the phase of making the final decision was far greater than their involvement I information seeking and evaluating. (3) Wives' involvement in the actually making of the purchase was far greater than their involvement in making the final decision. 2) Only one among conjugal demographic factors was significantly related to conjugal role structure. That, is, conjugal role structure in the purchasing decision process showed that the wives' involvement I making the final decision and in actually making the purchase increased with number of years married.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.6
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• pp.799-811
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• 2015

This study examined factors that influenced susceptibility to dyadic influences between opposite-gender couples on making apparel purchase decisions. This study focused on main effects of couple identity, product knowledge, clothing involvement and gender, and the interaction effects of gender with other factors for normative and informational influences. A survey was conducted on 155 males and 166 females currently married or in a relationship between the ages of 20 and 50 living in South Korea. For normative influence, the main effects of joint couple identity and clothing involvement (fashion interest, symbolism, and pleasure), and the interaction between gender and clothing involvement (fashion interest) were significant. The interaction between gender and other variables were insignificant. For informational influence, the main effects of partner's product knowledge, pleasure, and gender as well as the interaction effects between fashion interest and gender, and between pleasure and gender were significant. Marketers may find implications from the study results on how couples influence each other in making apparel purchase decisions.

• Journal of Families and Better Life
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• v.23 no.3 s.75
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• pp.197-215
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• 2005

The purpose of this study is to examine how the causal relationships between independent variables, marital communication decision making participation and family life satisfaction of elderly in couple household. The survey was conducted from May 26 to July 21, 2003. Total 394(male: 186, female: 208) samples were used for the analysis. Using SPSS/PC WIN program, data were analyzed by frequencies, percentages, mean, standard deviation, Cronbach'a, Pearson's correlation, t-test, and multiple regression. The major findings were as follows: 1) The findings showed that there were high level of the communication between the elderly males and females. In the decision making participation the finding showed that both elderly males and females generally made joint decisions with no gender differences. The elderly males and females reported overall family life satisfaction; and the elderly males were more likely satisfied with their family lives than the elderly females. 2) The path analysis on family life satisfaction presented that several variables had direct/indirect effects on family life satisfaction through communication and decision making participation. Among the moderate variables, communication agreement and communication openness had significant effects on family life satisfaction. Specifically, the elderly men were more likely satisfied when they participated in decision making on leisure: the elderly women were more likely satisfied when they participated in decision making on family life.

• Journal of the Korean Operations Research and Management Science Society
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• v.3 no.1
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• pp.81-91
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• 1978

Decision models are an attempt to reduce uncertainty in the decision making process. The models describe the relationships of variables and given proper input data generate solutions to managerial problems. These solutions may not be answers to the problems for one of two reasons. First, the data input into the model may not be consistant with the underlying assumptions of the model being used. Frequently parameters are assumed to be deterministic when in fact they are probabilistic in nature. The second failure is that often the decision maker recognizes that the data available are not appropriate for the model being used and begins to collect the required data. By the time these data has been compiled the solution is no longer an answer to the problem. This relates to the timeliness of decision making. The authors point out throught the use of an illustrative problem that stocastic models are well developed and that they do not suffer from any lack of mathematical exactiness. The primary problem is that generally accepted procedures for data generation are historical in nature and not relevant for probabilistic decision models. The authors advocate that management information system designers and accountants must become more familiar with these decision models and the input data required for their effective implementation. This will provide these professionals with the background necessary to generate data in a form that makes it relevant and timely for the decision making process.

• Clinics in Shoulder and Elbow
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• v.23 no.1
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• pp.1-2
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• 2020

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.671-680
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• 2015

The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

• Journal of the Korea Society for Simulation
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• v.23 no.2
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• pp.47-55
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• 2014

Most combat simulation models, including Korean Army's combat models for simulation analysis, have too much limitations to be used for analysis of complex combats like joint combat fires. We analyze requirements for modeling and simulation of Fire-Eagle, which is a joint combat fire model of ground combat fires and army aviation. We then propose a simulation model for Fire Eagle and derive operational strategies for improving the joint combat fire. To do these, we analyze effectiveness of specific operational plans and scenarios by using the simulation model. We demonstrate ways of developing efficient and effective operational plans from the simulation experimental results.