• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.13-31
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• 2021

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.377-389
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• 2021

This study aims at investigating the effects of big accounting data on the sustainable business growth of listed firms in Thailand. In addition, it examines the mediating effects of accounting information quality and decision-making effectiveness and the moderating effects of digital innovation on the research relationships. The study's useful samples are the 289 listed Thai companies. To examine the research relationships, the structural equation model and multiple regression analysis are used in this study. According to the results of this study, big accounting data has a significant effect on accounting information quality, decision-making effectiveness, and sustainable business growth. Next, accounting information quality significantly affects decision-making effectiveness and sustainable business growth. Similarly, decision-making effectiveness significantly affects sustainable business growth. Both accounting information quality and decision-making effectiveness mediate the big accounting data-sustainable business growth relationships. Lastly, digital innovation moderates the effects of accounting information quality and decision-making effectiveness on sustainable business growth. Accordingly, In conclusion, big accounting data has emerged as a key source of sustainable competitive advantage. As a result, to succeed in competitive environments, businesses must have a thorough understanding of big accounting data.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.2
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• pp.286-296
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• 2008

This study aims to examine the relationship between teachers' parcitipation levels in the decision making process and the organizational effectiveness in the middle schools. To achieve this objectives, 559 teachers of 18 middle schools in Busan were involved through a questionaire. The results are as follows: First, teachers consider their participation in decision-making to be low. Second, teachers view the effectiveness of school systems higher than average. Third, the correlation between teachers' participation and the system effectiveness (including job satisfaction, organization adaptability and job achievement) was positively high. When teachers' participation levels were divided into 3 groups - low, middle, and high-, the system effectiveness appeared highest with the high- level participation group. These results suggest the need for teacher participation in decision making to enhance the effectiveness of school systems.

• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.1
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• pp.11-26
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• 1995

We have used various information technologies (IT) in group decision-making for increasing effectiveness and satisfaction of group decision-making process. Recently, a new form of IT so called Group Decision supprot System (GDSS) was introduced into group decision-making process. Previous experimental studies about effectiveness of GDSSS have been inconsistent and the results were mixed. There was no empirical studies about GDSS in Korea. In this study, we divide two groups-GDSS supported group and traditional face-to-face group and investigate impacts of GDSS on group decision-making processes and outcomes. An idea generation task for operational action plan development, implementing GEO's strategic vision, served as the decision-making context. Supported GDSS is GroupSystems V, which had been developed by Univ. of Arizona. It was translated by Korean. According to the results, Number of nonredundant ideas in GDSS group is two or three times more than Non-GDSS grop. GDSS group feel more equal status, have better interpersonal relationship, have more confidence on group decision than Non-GDSS group. But satisfaction of participants on decision-making process and outcome has not showed a significant difference between two groups. Because all of participants in GDSS group were novice to GDSS. With this results we suggest further studies on transforming western type GDSS to Korean decision-making culture. It will be cornerstone for development of GDSS in Korean desision-making culture. It will be cornerstone for devlopment of GDSS in Korean decsion making culture environment.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.5
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• pp.557-562
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• 2009

Weapon system currently considers the research about effect analysis including cost effectiveness methodology for a budget management and an achievement of the military strategy goal. So that, this study considers the theoretical background, strength and weakness of several Multi-Criteria Decision Making, and an effect analysis of weapon system. And AHP(Analytic Hierarchy Process) is selected for the best effect analysis methodology of weapon system. Therefore, we applied AHP to the case study of the new generation Multiple Launcher Rocket System, performing the analysis of cost effectiveness methodology. Using AHP and cost effectiveness methodology, we propose the actual and proper decision making result.

• The Journal of Information Systems
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• v.17 no.4
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• pp.129-156
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• 2008

This study empirically tested a research model and hypothesis extracted and based on IT governance and knowledge sharing theories. In this study we targeted CIO and IS managers to find the effects of the degree of knowledge sharing between CEO and CIO regarding five areas of IT governance decision-making: IT principles, IT architecture, IT infrastructure, business application needs, and IT investment and prioritization, on IT and business alignment. Additionally we studied the effects of business alignment on the effectiveness of information systems. Results showed that the degree of knowledge sharing in CEO and CIO on IT principles, IT infrastructure, IT investment and prioritization had a positive influence on IT and business alignment, ultimately showing a positive influence on the effectiveness of information systems. This research has shown that fording the preferable relationship between IT and business affected by performing high quality decision making based on knowledge sharing and consequently it also is a basis to provide a positive influence to the effectiveness of the information system.

• Journal of the Korean Society of Systems Engineering
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• v.20 no.spc2
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• pp.12-21
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• 2024

This study is a study on the decision of depot maintenance plan using an optimization model based on systems engineering. The existing decision-making model is a decision-making model based on qualitative methods, and unreasonable decisions have been made due to decision-making based on the policy decisions of related organizations, subjective evaluation items, and the number of favorable and unfavorable items for each evaluation item without weighting. However, to overcome these limitations, a quantitative decision is made to determine the depot maintenance cycle using the cost equivalent cost method as a way to determine depot maintenance plans based on quantitative evaluation indicators based on purpose and efficiency, and to determine the location of depot maintenance through cost-effectiveness analysis. As a decision method, it was made possible to increase objectivity and efficiency when deciding on depot maintenance plans for weapon systems currently in operation in the military or to be developed in the future. Therefore, this study was applied to the eight major weapon systems currently in operation in the military to enable effective decision-making. was provided to support.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2942-2960
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• 2022

The core of cognitive radio is the problem concerning intelligent decision-making for communication parameters, the objective of which is to find the most appropriate parameter configuration to optimize transmission performance. The current algorithms have the disadvantages of high dependence on prior knowledge, large amount of calculation, and high complexity. We propose a new decision-making model by making full use of the interactivity of reinforcement learning (RL) and applying the Q-learning algorithm. By simplifying the decision-making process, we avoid large-scale RL, reduce complexity and improve timeliness. The proposed model is able to find the optimal waveform parameter configuration for the communication system in complex channels without prior knowledge. Moreover, this model is more flexible than previous decision-making models. The simulation results demonstrate the effectiveness of our model. The model not only exhibits better decision-making performance in the AWGN channels than the traditional method, but also make reasonable decisions in the fading channels.

• Journal of Korean Academy of Nursing Administration
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• v.6 no.1
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• pp.19-29
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• 2000

The purpose of this study was to analyze the relationship and the importance of relevant variables among structure, process, and outcome dimensions of nursing department in hospitals. The subject for this study was the registered nurses(N=400) working in medical, intensive care, and surgical units at 5 general hospitals with more than 500beds in Chungnam and Chungbuk. The research design was cross-sectional correlation among the variables based on their self description. The survey instrument was based on eleven structured questionnaires. The data were collected from April 26 to May 26, 1999. The SPSS/PC+ program and LISREL 8.12a program were used to analyze the data. Based on the data collected, the following results were obtained. The relationship among structural, procedural, and outcome dimensions 1. Structural dimension had a relationship with procedural dimension relating to decision-making of caregiving and working conditions, in particular, participation of the problem identification. 2. The extent of participation in decision-making had a relationship with organizational commitment and group effectiveness through the selection process among the total decision-making processes. 3. The structural dimension had a large direct effect rather than indirect effect through decision making processes on organizational commitment and group effectiveness. The relationship of structure, process, outcome dimensions was partially supported by this study. The information obtained from surveys in the field form the basis for the following recommendations for improving organizational effectiveness with in the nursing department in an hospitals. 1) Establishment of decentralized structure, environment, and culture in organizational settings would be desirable so that their members may actively participate in decision-making process. 2) Continuous education and training of nurses with theoretical Knowledge and skill of decision making, practical knowledge, and upright role perception should be highly emphasized for persons in nursing schools and in on-the-job training.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.63-73
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• 2013

Nowadays, the human resources of an organization are very important in order to survive in competitive business environment. This study investigates the influence of four decision-making styles in Myer-Briggs Type Indicator (MBTI) and working conditions on organizational effectiveness. Job satisfaction and immersion have been regarded as key conceptions of organizational effectiveness. The result of this study has shown that organizational effectiveness are influenced by personality types and working conditions. Based on the result, an enterprise must provide working conditions which are conducive and suitable for all decision-making styles. For ST-type, the composition of good relationship with superiors, clear organization's visions and goals and rewarding compensation on original idea contribution need to be provided. On the other hand, autonomic authority and job assistance in co-worker are more suitable for NT-type. Finally, in the case of SF-type, the organization must give job assistance in co-worker.