• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.219-219
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• 2017

This study aims at examining each firm's decision-makings of complex product and system (hereafter CoPS) innovation strategy, so that it tries to reveal the nature and role of CoPS innovations strategy. And it designed a comparative case study along with qualitative methods, by having two mobile operators' digital rights management (hereafter DRM) innovation in South Korea's digital music service industry. Through literature review, this study formulated three research propositions: (i) Each firm's decision-makings of CoPS innovations strategy are analytical negotiation process among economic actors in an industry; (ii) Each firm's market power originated from its market share from the installed base through network effect and switching cost influence decision-makings of CoPS innovation strategies; (iii) Each firm's decision-makings of different CoPS innovation strategies are related to their intension of achieving better market power, consequently dominant design. Through empirical examination of two mobile operators' decision-makings of DRM innovation strategy, this study empirically verified three research propositions.

• Journal of Korean Society of Rural Planning
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• v.11 no.3 s.28
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• pp.29-42
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• 2005

This study aimed to apply a methodological approach, 'social network analysis' to a case study for the understanding of relational structure among stakeholders related to green tourism development. By doing so, this study argued that it is important to identify stakeholder's network structure to help green tourism planners develop collaborative relationship among stakeholders. This study identified the stakeholders regarding a community-based festival development in the southern area of Korea, and investigated two types of networks among them: decision-making power relational and intimate network. Interviewer-administrated survey and in-depth interview were employed for data collection. The data was analyzed by SPSS (version 10.0) and Net-MinerII (version 2.5.0), and by constant comparison method. The result revealed that low different groups of the stakeholders were separated in the intimate networt and that the festival organizational body was not connected with other stakeholders in the decision-making power relational network. The existence of separated groups and weak relationship among the stakeholders appeared to relate to age-group differences, and different views on the festival between the stakeholders.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.3
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• pp.212-216
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• 2011

Fault detection technique for photovoltaic power systems is significant to dramatically reduce economic damage in industrial fields. This paper presents a novel fault detection approach using Fourier neural networks and stochastic decision making strategy for photovoltaic systems. We achieve neural modeling to represent its nonlinear dynamic behaviors through a gradient descent based learning algorithm. Next, a general likelihood ratio test (GLRT) is derived for constructing a decision malling mechanism in stochastic fault detection. A testbed of photovoltaic power systems is established to conduct real-time experiments in which the DC power line communication (DPLC) technique is employed to transfer data sets measured from the photovoltaic panels to PC systems. We demonstrate our proposed fault detection methodology is reliable and practicable over this real-time experiment.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.165-168
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• 1999

The support or automation of various kinds of intelligent work is urged at large, integrated control centers. Given this demand, a decision making system for wash timing of polluted insulators, applying the Bayesian rule theory, has been developed in order to support maintenance work in the power system. The results of this system application revealed that exact wash timing of the insulators could be determined automatically, equivalent in precision to judgement by skilled operators, thus contributing to further work efficiency.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.36-38
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• 1993

This study considers the economic aspect of the distribution automation system, which is the decision-making criteria of the electric utilities for the investment. The feeder automation candidate region is divided into two types of the urban and the rural. The total investment cost of the feeder automation for each type is estimated. The annual cost, is also estimated, by finding the fixed charge rate. To compare the annual cost and the economic effect cost, for the investment decision-making, the costs are quantitatively estimated on the following effects : the manpower replacement, the outage cost saving, the main transformer utilization improvement, the feeder utilization improvement, and the line loss reduction.

• Nuclear Engineering and Technology
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• v.53 no.1
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• pp.314-321
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• 2021

As Indonesia is rich in natural resources, nuclear power remains a low priority among energy alternatives. However, Indonesia needs to introduce nuclear power to improve the atmospheric environment and to support sustainable economic growth. This study conducted a two-stage survey of logit-probit and analytic hierarchy process to analyze the perception of Indonesian energy policymakers regarding the introduction of nuclear power, the potential for change, and key decision factors. The analysis confirms that the perception of nuclear power is positive and that the willingness to expand nuclear power can improve if negative conditions, such as underdeveloped technology level, foreign aid and assistance, and safety issues are addressed. In addition, it is confirmed that the policy makers consider political/social and environmental factors to be more important for decision-making. The results of this study can give inplications and be used as a key reference for Indonesia's nuclear power policy

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.377-388
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• 2024

The purpose of this study is to prepare basic data to help college students adapt to college life by grasping the effects of mentoring skills, self-concept, career decision-making self-efficacy, and major satisfaction on college life adaptation. To achieve the purpose of the study, data were collected from January 17 to January 27, 2024, targeting college students from one university in C city located in G-do. The survey was conducted online. As a result of the study, the mentoring function of the subjects averaged 4.11 points (out of 5 points), the self-concept was 4.29 points (out of 5 points), the career decision-making self-efficacy was 4.04 points (out of 5 points), the major satisfaction was 4.45 points (out of 5 points), and the college life adaptation was 3.91 points (out of 5 points). The factor that most influenced the subject's adaptation to college life was career decision-making self-efficacy, followed by self-concept, mentoring function, and major-art field. The explanatory power of the model was 70.2%. Specifically, the higher the career decision-making self-efficacy, the higher the self-concept, and the higher the mentoring function, the higher the adaptation to college life. Educational intervention programs (non-curricular programs) are needed to adapt to college life for college students, and subsequent studies need to examine the effects of the developed programs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.6
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• pp.841-848
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• 2021

The purpose of this study was to explore what factors influenced users using smartphones in their decision making. In this study, intimacy/personal connectivity, use/dependence, familiarity/professionalism, efficacy/effectiveness, self-identity, control, etc. were set as independent variables and decision-making as dependent variables. In this study, 200 smartphone users were collected and analyzed through a questionnaire, and a nonlinear analysis method using WarpPLS software was utilized to identify the effects between variables. As a result, this study confirmed that factors in smart phone ownership (SPO) could affect individual decision-making and identify that users' psychological factors in the use of smart devices would be directly related to the outcome of decision-making. Through this, it is possible to understand the development of future industries and the acceptability of users using smart devices. and will be meaningful research in tourism, new product development, or continuous brand development.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.885-896
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• 2023

This study attempted to identify the relationship between nursing students' adjustment to college life, stress, and major satisfaction, and to identify the factors that affect career decision-making self-efficacy. The study included 298 nursing students from two universities in the region, and data collection was conducted from April 24 to May 9, 2023. Results, It showed a significant negative correlation between college adjustment and stress, and it was found that there was a significant positive correlation between major satisfaction and career decision-making self-efficacy. Major satisfaction was the predictor variable that had the greatest impact on career decision-making self-efficacy, and the explanatory power was found to be 44.8%. This shows that nursing students with high self-efficacy are satisfied with their majors and adapt well to university life if they choose nursing studies. Therefore, there is a need to develop various career exploration and career education programs to enhance career decision-making self-efficacy.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.83-93
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• 2023

Purpose : This study examined the effects of college students' occupational value and social support on their career decision status. Methods : This research was conducted between May 6 and May 30 in 2023 with 228 college students from city B in South Korea as the study participants. The frequency, percentage, mean, and standard deviation of the collected data were analyzed, while t-test, ANOVA test, Scheffe's test, Pearson correlation coefficient, and a multivariate regression analysis were conducted using the SPSS/WIN 22.0 program. Results : The analysis revealed that the research subjects had an average occupational value of 3.58±.44, social support of 4.18±.56, and a career decision status of 2.82±.59. Notably, a significant difference in the career decision status of the students was observed with regard to their fields of major (F=2.36, p=.019), However, no other variable demonstrated a significant difference. The confidence level pertaining to career decision-making was found to be positively correlated with the pursuit of status and self-direction (r=.25, p<.001), pursuit of creativity (r=.16, p=.017), pursuit of relationship (r=.35, p<.001), pursuit of diversity and change (r=.16, p=17), pursuit of interest (r=.19, p=.003), pursuit of compensation (r=.29, p<.001), pursuit of professionalism (r=.46, p<.001), material support (r=.25, p<.001), appraisal support (r=.35, p<.001), informational support (r=.32, p<.001), and emotional support (r=.29, p<.001). Moreover, the indecision level related to career decision-making demonstrated a positive correlation with the pursuit of excellence (r=.17, p=.010). The factors that affected the confidence level of career decision-making included appraisal support (β=.29, p<.001) and pursuit of compensation (β=.19, p=.003), whose collective explanatory power was 15 %. It was further observed that appraisal support (β=-.27, p<.001), pursuit of professionalism (β=-.16 p=.017), pursuit of excellence (β=.17, p=.005), and the field of major (β=-.16, p=.012) largely influenced the indecision level related to career decision-making, together bearing an explanatory power of 17 %. Conclusion : The results of this study have important implications for enhancing college students' career decision status. Moreover, further research investigating the diverse variables that affect students' career decision status is necessary, along with effective endeavors to improve education and develop programs that positively affect college students' career decision status.