• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Journal of Information Technology Services
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• v.2 no.2
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• pp.121-134
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• 2003

To improve the quality of the services and to concentrate on the core capability, in public sector the IT outsourcing is recently being vitalized by the institutional support of the government for the entrusting non-government. Because the lots of general studies so far have simply focused on indicating fragmentary factors i.e. economical factors, risk factors, system factors, or induction objects, etc., they are insufficient in making the practical decisions, therefore we indicated systemized model extending over the whole range of the IT outsourcing to support substantial decision makings, and assorted 4 categories and drew considerable 55 factors from the literature study to materialize the previously considerable factors at each decision making stage. And the principal factors were drawn from each decision making category by a group of 11 experts. Besides, a henceforth plan for the application was also presented through an actual example of the IT outsourcing decision making process of 'M', a public enterprise.

• Journal of Korean Academy of Nursing
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• v.40 no.6
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• pp.892-902
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• 2010

Purpose: This study was done to identify participation by home healthcare nurses in clinical decision making and factors influencing clinical decision making. Methods: A descriptive survey was used to collect data from 68 home healthcare nurses in 22 hospital-based home healthcare services in Korea. To investigate participation, the researcher developed 3 scenarios through interviews with 5 home healthcare nurses. A self-report questionnaire composed of tools for characteristics, factors of clinical decision making, and participation was used. Results: Participation was relatively high, but significantly lower in the design phase (F=3.51, p=.032). Competency in clinical decision making (r=.45, p<.001), perception of the decision maker role (r=.47, p<.001), and perception of the utility of clinical practice guidelines (r=.25, p=.043) were significantly correlated with participation. Competency in clinical decision making (Odds ratio [OR]=41.79, p=.007) and perception of the decision maker role (OR=15.09, p=.007) were significant factors predicting participation in clinical decision making by home healthcare nurses. Conclusion: In order to encourage participation in clinical decision making, education programs should be provided to home healthcare nurses. Official clinical practice guidelines should be used to support home healthcare nurses’ participation in clinical decision making in cases where they can identify and solve the patient health problems.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.1
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• pp.82-97
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• 2007

Purpose: This study was to investigate the relationships among nurse managers' participation in decision-making process relation to human resource management and the influencing factors. Method: The subjects were 198 nurse managers who were in general hospitals over 900 beds. The data were collected from January 13 to March 13, 2006. The SPSS PC+ 12.0 program was used to analyze the data. Result: The nurse managers had greater participation in the identification phase of decision making than selection phase. The mean scores of three phases were significantly different. The satisfaction of decision making was evaluated. The higher participation in decision making, the higher satisfaction of decision making. Nurse managers' decision style tended to be more participative than autocratic. Personal and organizational factors(age and decentralization) influenced positively on participation in decision making. Decentralization and span of control influenced positively on satisfaction in decision making. Conclusion: It is necessary to permit the participation in decision making for nurse managers.

• Journal of Korean Academy of Nursing
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• v.34 no.2
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• pp.270-277
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• 2004

Purpose: The purpose of this study was to investigate the relationship between decision-making factors(theoretical knowledge, expertise, empowerment, intuition) and participation in proportion to nurses's clinical experience. Method: Data was collected by quota sampling from July 10, 2001 to August 22, 2001 from 132 clinical nurses who work for 3 General hospitals. Data was analyzed using SPSSWIN 10.0 with crosstab, ANOVA, and stepwise multiple regression. Result: Expertise(F=34.347, p=.000), empowerment(F=29.316, p=.000), and participation(F=3.276, p=.041) were significantly different among 3 clinical experience groups. Clinical experience correlated with expertise(r=.551, p=.000) and empowerment(r=.492, p=.000), and Decision-making participation also correlated with expertise(r=.351, p=.000) and empowerment(r=.265, p=.002). Decision-making participation is effected by theoretical knowledge(under 3.00yr clinical experience), expertise(3.01-5.00yr), and empowerment(above 5.01yr). Conclusion: These findings indicate that factors(theoretical knowledge, expertise, or empowerment) on decision-making participation varies as nurses's clinical experience differs. Therefore, decision-making needs bilateral agreement between staff nurses and nurse managers rather than the responsibility of one.

• International Journal of Contents
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• v.6 no.4
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• pp.69-78
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• 2010

In recent years, many leading corporations are actively adopting IT as competitive resources to improve productivity and processes efficiency with strategic alignments. In effect, IT investment also continues to increase. As a vast growth of IT investment, questions and criticism on recent IT investment results are also rapidly being raised. Especially, improper decision making and management on IT investment may cause negative impact on the company's reputation and finances, therefore companies need reasonable and wise investment decision making on new IT projects. This study applies the conceptual framework of IT governance to IT investment decision making cases to examine how IT investment governance influences the quality of IT investment decision making and how business-IT strategic alignment affects the quality of IT investment decision making. This paper contributes to identify the main factors for reasonable and effective IT investment decision making and expected to provide proper guidelines for IT investment decision making.

• Journal of Korean Academy of Nursing
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• v.37 no.6
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• pp.863-871
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• 2007

Purpose: The purpose of this study was to investigate the factors influencing nurses' clinical decision making focusing on critical thinking disposition. Methods: The subjects of this study consisted of 505 nurses working at one of the general hospitals located in Seoul. Data was collected by a self-administered questionnaire between December 2006 and January 2007. Data was analyzed by one way ANOVA, Pearson correlation coefficients, and stepwise multiple regression using SPSS Win 14.0. Results: The mean scores of critical thinking disposition and clinical decision making were 99.10 and 134.32 respectively. Clinical decision making scores were significantly higher in groups under continuing education, with a master or higher degree, with clinical experience more than 5 years, or with experts. Critical thinking disposition and its subscales have a significant correlation with clinical decision making. Intellectual eagerness/curiosity, prudence, clinical experience, intellectual honesty, self-confidence, and healthy skepticism were important factors influencing clinical decision making(adjusted $R^2=33%$). Conclusion: Results of this study suggest that various strategies such as retaining experienced nurses, encouraging them to continue with education and enhancing critical thinking disposition are warranted for development of clinical decision making.

• Korea Journal of Hospital Management
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• v.5 no.1
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• pp.156-175
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• 2000

This study was designed to find out the relations between the major investment decision-making behaviors and profitability of the hospital. A total of 57 hospitals were analyzed on this study. The major findings were as follows; 1. Among the types of the investment decision-making, major factors affecting the profitability were where the top management belongs among the defender, analyzer, prospector, and reactor type. Other factors were whether or not hospital analyzes which is more economical between the purchase by cash and lease of the medical equipment and whether or not hospital changes the decision before the actual investment. 2, Among the types of the investment decision-making, major factors affecting the financial structure and efficient operation of the assets were ranking of the priority and whether or not hospitals can get enough revenue and cash flow when hospitals have to borrow a big amount of fund from outside. 3. Among the financial indices regarding the financial stability, major factor affecting the profitability was fixed assets to long-tenn capital. Other factors affecting the financial structure and efficient operation of the assets were value added to medical equipment, normal profit to medical equipment, liability to total assets, current ratio, value added to payroll expenses. 4. Investment decision-making behaviors are partially influencing on the financial structure and efficient operation of the assets. However it was proved that the profitability was the most influencial factor than other factors related with the operation of the hospital. 5. To improve the irrational investment decision-making behaviors strategic management system should be introduced, and the top mamagement's investment decision-making style should be changed from reactor and analyser styles to prospector and reactor ones.

• The Journal of Korean Academy of Prosthodontics
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• v.46 no.6
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• pp.610-619
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• 2008

STATEMENT OF PROBLEM: Factors affecting patients' decision-making for dental prosthetic treatment should be examined in terms of understanding improving patients' oral health. PURPOSE: The main purpose of this dissertation was to investigate patients' dental prosthetic treatment and factors affecting patients' decision-making for dental prosthesis treatment in Deagu and Gyungbook areas. MATERIAL AND METHODS: This study was based on the preliminary survey of dental patients conducted from July 1 to August 31 in 2006. A total of 700 questionnaires had been distributed and 640 were collected. 629 questionnaires were used for the statistical analysis. Descriptive and inferential statistics, such as frequencies, cross tabulation analysis, correlation analysis, logistic regression analysis, and multiple regression analysis were introduced. In the multiple regression analysis and logistic regression analysis, twenty-two independent variables were employed to explore the factors which have impacts on decision-making and satisfaction. RESULTS: The results of this dissertation are as follows: Logistic regression analysis turned out that monthly income, age, degree of expectation, marital status, and employer-insured policy of national insurance statistically increased the odds of decision-making of dental prosthesis treatment. But educational attainment decreased the odds ratio of the decision-making of dental prosthesis treatment. However, the rest independent variables do not have statistically significant impacts on the decision-making of dental prosthesis treatment CONCLUSION: Among independent variables, marital status had the most significant influence on the decision making of dental prosthesis treatment. Finally, suggestions for the future study and policy implications to improve satisfaction of the patients' dental prosthetic treatment were discussed.

• Quality Improvement in Health Care
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• v.24 no.1
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• pp.40-52
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• 2018

Purpose: This study aimed to identify the factors influencing on patients' participation in their treatment decision making, and influences of patients' experience on their health status. Methods: Data from the 2015 Korea National Health and Nutrition Examination Survey were used for the analysis. Multivariate logistic regression analysis was conducted to identify the factors influencing on patients' participation in their treatment decision making. The influences of patients' experience on their health status were analyzed using multiple linear regression analysis. Results: Of the 4,497 respondents, 3,698 (82.2%) respondents mostly participated in their treatment decision making. Those who experienced enough visit duration, physicians' explanation easy enough to understand, or more opportunities to ask were more likely to participate in their treatment decision making. After controlling for their sociodemographic factors and health status, those who had better experience during the outpatient visits were more likely to have better self-rated health or quality of life. Conclusion: To improve patients' health outcomes and satisfaction of health care uses, it is necessary to provide better experiences and expand the opportunities for participation in treatment decision making during their hospital visits.