• 한국벤처창업학회:학술대회논문집
• /
• 2018.11a
• /
• pp.233-237
• /
• 2018

제대군인들은 전직준비, 사회가 요구하는 전문성, 사회적응력 부족과 그리고 오랜 군생활로 인한 유연성 부족 등으로 제대 후 새로운 일자리를 구하는데 많은 어려움을 격고 있다. 매년 7천여 명 정도의 제대군인들이 사회로 복귀하는데, 국가를 위해 헌신한 이들에 대한 예우 차원에서뿐만 아니라 우수한 인력의 활용을 위해서 국가적 수준의 제대군인 취업 및 창업지원 노력은 절실하다고 볼 수 있다. 본 논문은 제대군인이 창업의사결정을 하는데 미치는 다양한 요인들을 검토함으로써, 이들이 제대 후 창업의사결정에서 어떤 난관을 극복하여야 하는지, 그리고 정책적 지원이 이루어진다면 어떤 지점에 초점을 맞추어야하는지 알아보고자 한다. 본 논문은 일반적으로 창업의도에 미치는 요소로 알려져 있는 개인적 특성, 인적 자본, 재정 자원과 같은 선행요인들을 볼 뿐 아니라, 제대군인이 가지고 있는 군복무 경험과 특성이 창업의도에 미치는 영향을 분석한다. 본 연구의 결과가 제대군인들의 창업정책과 창업교육에 반영될 수 있을 것으로 기대한다.

• Journal of Digital Convergence
• /
• v.11 no.5
• /
• pp.429-436
• /
• 2013

Context aware environment u-health service is to provide health service with recognition of a computer. The computer recognizes that a patient can contact real life in many context. Context aware environment service for recommend have to definition of context data and service recommendations related to factors shall be identified. In this paper, Context aware environment of u-health service will be provide context data related to identifies recommendations factors using multivariate analysis method and recommendations factors creation to decision tree, association rule based decision model. health service recommend for significantly context data can be distinguish through recommendation factors of identify. Also, context data of patient can know preference factors through preference decision model.

• Journal of Digital Convergence
• /
• v.12 no.10
• /
• pp.405-414
• /
• 2014

This research aims to strengthen the ethical decision-making capability of nursing students, and involves 82 fourth-year undergraduate nursing students in a nonequivalent control group pre-post quasi experimental research design from March 4 to June 3, 2013. Experimental group took a discussion-based class and control group took a traditional lecture-based class and we identified the differences in ethical knowledge, class satisfaction and ethical values between the two groups. Experimental group had higher scores for ethical knowledge after the class. There was no significant change in ethical values after the class in the two groups. The experimental group achieved significantly higher scores for the comprehension of class contents and practical application within the class satisfaction criteria. So we propose to use this model as an effect teaching method to apply ethical principles in nursing practice.

• Journal of Digital Convergence
• /
• v.18 no.10
• /
• pp.137-146
• /
• 2020

The purpose of this study is to confirm the moderating effect of the 'IRrelevance Processing'(IRP) on the relationship between decision maker's openness and business problem solving creativity (BPSC). In order to confirm the psychological mechanism of BPSC and openness, we developed the irrelevance processing. In particular, the creativity in this study is different from the general creativity studied in psychology. BPSC is a study with practical value applied in the management environment. The results showed that openness of the decision maker was correlated with the BPSC, and that the irrelevance processing was a psychological mechanism to moderating effects relationship between openness of decision makers and BPSC. This paper proved the correlation between the propensity of decision makers and BPSC, and contributed to the study of corporate creativity by identifying the psychological mechanisms.

• Journal of Digital Convergence
• /
• v.19 no.9
• /
• pp.75-81
• /
• 2021

The purpose of this research is to derive and evaluate priorities for critical factors that must be determined before an enterprise adopts a cloud computing service. AHP analysis techniques were used to reflect decisions made by experts as research methods. AHP is a decision-making technique that expresses complex decision-making problems hierarchically and derives the best alternatives through pairwise comparison between the items of the hierarchy. Compared to the existing statistical decision making techniques, the decision making process is systematic and simple, making it easy to understand. In addition, the procedure is also reasonable by providing an indicator to determine the consistency of the decision maker in the analysis process. The analysis results of this research showed that security was the first priority, reliability was the second priority, and economic efficiency was the third priority. Among the factors in the first-priority security items, the access control rights and the safety factors of external threats are the most important factors. Research results can be used as a guideline in future practice, and it is necessary to evaluate, compare and analyze the satisfaction of companies that have adopted cloud computing services in the future.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.275-288
• /
• 2021

This study was attemted to grasp the factors affecting the clinical decision-making ability of nurse. Data were collected from 156 nurse working in hospital in G-do. Analysis was done using t-test, ANOVA, Pearson correlation coefficient, and Multiple regression with IBM SPSS WIN/25.0. The most influential factor on the subjects' clinical decision-making ability was nursing Research 'very interest', critical thinking tendency, 'master/doctor', clinical experience 'more than 20 years and 1 month', moral behavior, nursing research 'important', 'single', clinical work experience '5 years, 1 month-10 years', department work experience '3 years 1 month-5 years'. The explanatory power was 51.4%. It was significant in that it was confirmed that interest and importance, moral behavior, academic background, and career are variables that influence clinical decision-making ability. The results of this study can be utilized as basic data for the development of intervention plans and programs that can increase clinical decision-making ability in the context of an ethical dilemma. In addition, developing and verifying educational programs that can increase clinical decision-making abilities in ethical dilemmas is needed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.5
• /
• pp.31-47
• /
• 2022

The TIPS, a representative public-private cooperative project to revitalize the start-up ecosystem, is a government supported policy that promotes successful commercialization through various start-up support for technology-based startups. The purpose of this study is to analyze the investment decision factors of the TIPS program and to derive priorities. In order to achieve the research purpose, first, the investment decision factors were derived through literature analysis, a Delphi surveys were conducted on investors and experts participating in the evaluation of the TIPS program, and an AHP analysis was conducted on 20 VCs to empirically analyze the priority of factors on investment decisions. As a result of the analysis, the importance of critical factors was confirmed in the order of entrepreneurs(team) > market > product/service > finance > network. The importance of detailed factors was found in the order of entrepreneur's reliability and authenticity > market growth and scalability > team members' expertise and capabilities > adequacy of current market size > new market creation. This study presented the capabilities of technology-based startups preparing to participate in the TIPS program by deriving factors that influence investment decisions from an investor's perspective and comparing and analyzing the importance. It is also meaningful that basic data on determinants of private-led investment decision-making were presented to stake-holders such as venture capital, accelerator, and start-up support institutions.

• Knowledge Management Research
• /
• v.24 no.4
• /
• pp.23-42
• /
• 2023

This study originated from recognition of importance of firefighters' decision-making in fire response, coupled with existing gap in research. By utilizing Q-methodology, the study aimed to categorize firefighters' subjectivity in fire response decision-making. Through this categorization, the study sought to highlight insights into the current technological and data limitations, as well as potential directions for future R&D in the field of firefighting. The findings of the study revealed that firefighters' subjectivity could be classified into three factors: "emphasis on direct information related to rescue," "emphasis on information related to the target property," and "emphasis on information related to command and coordination." The study theoretically confirmed that the subjectivity of firefighters' decision-making in fire response is partially influenced by their experiences and job. Additionally, the study's significance lay in its approach of collecting specific decision-making factors in fire response, moving beyond general theoretical models. Furthermore, from a policy perspective, the typification of decision-making factors contributed to connecting the identified data-based administrative needs from prior studies. Insights from the study emphasized the importance of leveraging on-site experience in Korea to aid decision-making, calling for the development of equipment and data collection methods that can rapidly and accurately assess on-site conditions.

• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.3
• /
• pp.81-92
• /
• 2021

As the aging population of Korean agriculture and rural areas and the decline of the agricultural population are gradually deepening, the influx of population through returning to farming and rural areas is urgently needed. To this end, the most important problems to be solved were the lack of information that would help those who want to return to farming or rural areas when making decisions. Therefore, a survey was conducted for AHP analysis on related experts to find out the information (decision factors) required when selecting a return-to-farm or return-to-country migration area through this study. The AHP analysis showed that "Economic factors" were the most important among the three items in the primary class, while "Housing and land prices", "Metropolitan accessibility and traffic" and "Residential information" were the most important in the secondary class. The results of these studies are reflected in the information system to systematically support the decision-making of those who wish to return to farming or rural areas.It is hoped that it will be indirectly helpful and ultimately contribute to the revitalization and development of Korean agriculture and rural areas, which are aging.

• The Journal of the Korea Contents Association
• /
• v.12 no.2
• /
• pp.472-482
• /
• 2012

There are many investors in the stock market, and more and more people get interested in the stock investment. In order to avoid risks and make profit in the stock investment, we have to determine several aspects using various information. That is, we have to select profitable stocks and determine appropriate buying/selling prices and holding period. This paper proposes a data mining tool for the investors' decision support. The data mining tool makes stock investors apply machine learning techniques and generate stock price prediction model. Also it helps determine buying/selling prices and holding period. It supports individual investor's own decision making using past data. Using the proposed tool, users can manage stock data, generate their own stock price prediction models, and establish trading policy via investment simulation. Users can select technical indicators which they think affect future stock price. Then they can generate stock price prediction models using the indicators and test the models. They also perform investment simulation using proper models to find appropriate trading policy consisting of buying/selling prices and holding period. Using the proposed data mining tool, stock investors can expect more profit with the help of stock price prediction model and trading policy validated on past data, instead of with an emotional decision.