• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.213-220
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• 2007

This paper proposes the selection model of the telecommunication company using an analytical hierarchy process. When selecting a telecommunication company, consumers conflict the difficulty In decision-making because there are many competitive and complementary factors of telecommunication companies. To select an optimal telecommunication company, consumers need to consider a number of different quantitative and qualitative factors such as fare, various services, additional function and so on. In this study, we use the analytic hierarchy process based method for selecting the telecommunication company considering various factors to help consumers' decision-making for their benefits.

• Journal of the military operations research society of Korea
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• v.16 no.1
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• pp.18-34
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• 1990

In light of the recent developments of transitory nature, it is likely that national defense decision-making will be more difficult to make for years to come. In other words, sudden changes in security environment would call into question the basic assumptions on which we have built our national defense planning and increase the number of the uncertain factors in the decision-making process; the subdivision and ramification of national defense management would increase the factors for decision-making and complicate even further the mutual interactions among these factors; the accelerated pace of sophistication and diversification of weapon systems and military technology would increase the risk of failure and system costs geometrically; and the reduced level of acceptance among the people on the sanctification of national defense in proportion to the rapid progress toward a more democratic and industrial society would engender an increased criticism or checking role by the National Assembly or by the mass media. As the changes in national defense environment and conditions create an innumerable number of new tasks, this paper intends to suggest a few core policy measures to improve the quality of national defense decision-making. More specifically, it proposes to 1) eradicate entirely the bureaucratic behavior and tendencies; 2) utilize actively the brain staff for quality assurance of decision-making; 3) and introduce and apply as a whole set, a total system, or an incorporated pack age the PPBEES(Planning-Programming-Budgeting-Executing-Evaluating-System)/LCMM (Life-Cycle Management Model for System Acquision), the OR/SA(Operations Research/Systems Analysis), and DMIS (Defense Management Information System).

• Journal of Information Technology Services
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• v.20 no.4
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• pp.35-52
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• 2021

Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.1
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• pp.93-102
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• 2019

Purpose: This study aimed to investigate factors influencing career preparation behavior among male nursing students in South Korea. Methods: Data were collected from May 25 to June 17, 2018 and a total of 158 male nursing students participated in this study. Career decision making self-efficacy, military duty planning, and career preparation behavior were measured using a structured questionnaire. Collected data were analyzed with SPSS 25.0 for windows. Results: There was a statistically significant difference in career preparation behavior of participants according to entrance motivation and desired career after graduation. There were statistically significant correlations between career decision making self-efficacy and career preparation behavior (r=.65, p<.001), and between military duty planning and career preparation behavior (r=.45, p<.001). The influential factors for career preparation behavior were career decision making self-efficacy (${\beta}=.64$, p<.001), and military duty planning (${\beta}=.42$, p<.001). These factors accounted for 42% of the variance in career preparation behavior. Conclusion: The results of this study indicate that to improve career preparation behavior for male nursing students, it is necessary to enhance career decision making self-efficacy and military duty planning.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.845-853
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• 2021

The stock market shows the current health of an economy, and investment performance represents it. This study aims to clarify the relationship between financial behavior and investment decisions as well as its impact on investment results. Determine the influence of behavioral factors on individual investors' investment decisions and investment performance on the Vietnam stock market. The study surveyed 250 investors. The main analytical methods used are Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Research results show that Heuristic, Prospect, Market, and Herding directly and positively affect investment decision-making. Besides, the above factors have a direct and positive effect on investment performance. In particular, the Prospect factor has the strongest influence on investment decision-making and investment performance. The major findings of this study suggested that the important role of Heuristic, Prospect, Market, and Herding on Investment Decision-making and Investment Performance. Prospect had the strongest impact on Investment decision-making (β = 0.275). Heuristic had the second strongest impact (β = 0.257), then Herding (β = 0.202), and finally Market (β = 0.189) had the weakest effect. Regarding Investment Performance, the Prospect factor has a higher degree of impact than Heuristic Herding and Market.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.205-214
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• 2007

This paper aimed to exam the influence factor of purchasing decision making of industrial buyer and analyze their effects on success. To accomplish this purpose, this study examined previous studies and summarized influence factors of purchasing decision making of industrial buyer. From previous studies, we drew influence factor. influence factor is buying center, character of industrial goods provider, perceive risk.

• Journal of Distribution Science
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• v.13 no.11
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• pp.31-37
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• 2015

Purpose - This study is an effort to assess the role of behavioral biases in investment decision making, specifically for mutual funds, and the moderating role of the investor. Individual investment behavior is concerned with choices about purchasing various securities. However, behavioral finance disputes the concept of perfect rationality and identifies psychological factors and their impact on decision-making. Research design, data, and methodology - A survey questionnaire was designed and used to collect responses using a judgmental sampling technique from 290 investors in the Gwalior Region. Cronbach's Alpha, factor analysis, and linear regression were all used to test the influence of behavioral biases on investment decision. Results - We found that the behavioral biases have a positive impact on investment decisions. Conclusions - This study's results identified three factors influencing investor behavior(rationale, investment skills, and profit making) and four factors influencing investor decisions (profit maker, market analysis, investment plan, seller). The overall results of the study also show that there is no significant relationship between investor behavior and investment decisions by gender in the market.

• Korea journal of population studies
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• v.12 no.1
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• pp.30-42
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• 1989

This study develops a model of migration decision-making process, with identifying macrolevel and microlevel factors affecting the process. The model includes some sequential stages : to be dissatisfied with current residential area, intend to move, collect information about alternative destinations, select destination, decide to move, and make actual migration. The macrolevel factors included in the model are environmental, socioeconomic, cultural, and demographic characteristics of the current residence and alternative destinations. The microlevel factors are psychological, socioeconomic, and demographic characteristics of the individual. The effects of the macrolevel and microlevel factors on each stage of migration decision-making process are identified from the previous studies on migration. This study has both theoretical and practical implications. The theoretical contribution will be in the area of integrating the ecological and the individual level perspectives of migration by identifying the macrolevel and microlevel effects on migration decision-making process. This study also has implications for theoretical frameworks guiding empirical analysis of migration behavior of the individuals, and for policies aimed at redistributing population.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.30 no.2
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• pp.163-173
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• 2023

Purpose: The aim of this descriptive research study was to identify the factors affecting the ethical decision-making of nursing students. Methods: A convenience sample of 193 nursing students from three nursing colleges in D city who were engaged in clinical practice completed an online Google Forms questionnaire from September 9 to September 20, 2021. Using SPSS 23.0, data were analyzed with descriptive statistics, an independent t-test, a one-way ANOVA, Scheffé's test, Pearson's correlation coefficient, and a multiple regression analysis. Results: The influencing factors of ideal ethical decision-making were guilt (β=.38, p<.001), awareness of the nurses' Code of Ethics (β=.18, p=.023) and motivation for entering school, among general characteristics (β=-.18, p=.033). The explanatory power of the model was 22.2%. Further, the influencing factors of realistic ethical decision-making were ideal ethical decision-making (β=.26, p=.001) and grade (among general characteristics) (β=.15, p=.029); the explanatory power of the model was 17.9%. Conclusion: Various educational tools and programs pertaining to making ideal and ethical decisions must be enhanced to promote ethical choices in clinical areas and realistic ethical decision-making ability to actually make such choices. This focus may enable nurses to improve their nursing professionalism in the future.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.183-191
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• 2017

In building project, client needs to decide many things, and clients cooperate with architects, supervisors, general contractors and other consultants. Especially in construction phase, clients often make a decision. However, client's decision-making in construction phase often makes some kinds of risk. This paper aims to clarify the reality of client's decision-making in construction phase. First, client's decision-making is defined by laws and standards. Second, the questionnaire revealed the current status of client's decision-making in 4 works. Third, Fishbone diagram shows the factors of client's decision-making in four works. Finally, it was modeled how client's decision-making in construction phase affects the post-process of 4 works.