• Journal of Digital Convergence
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• v.20 no.3
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• pp.275-281
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• 2022

This paper intends to provide a more effective understanding of the management performance (survival and growth) of startups and to suggest methods that can be applied to empirical research related to startups in the future. Therefore, in this study, the effect of entrepreneurship, trend analysis, and government support on business performance (non-financial and financial) is studied. A total of 220 questionnaires were received, and 215 were adopted except for 5 insincere questionnaires. Therefore, it was evaluated based on statistical data of 215 companies surveyed by startup officials. The questionnaire was analyzed using the SPSS 28.0 statistical program. The results of the study confirmed that all three items of the hypothesis, government support, entrepreneurship, and trend analysis of start-ups all play a positive role regardless of the difference in financial and non-financial management performance.

• Information Systems Review
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• v.19 no.2
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• pp.95-113
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• 2017

The advent of information communication technology or the Fourth Industrial Revolution facilitated the fusion of equipment and management systems, such as Manufacturing Execution System, Enterprise Resource Planning, and Product Lifecycle Management, in the successful implementation of smart factories. The government supports the early adoption of these systems in small and medium companies to enhance their global competitiveness in producing products that can be recognized in a dramatically changing manufacturing environment. This study introduces smart factories to improve company competitiveness and address influences from the government assistance, CEO leadership, external consultancy, and organizational participation. We analyzed 101 results received from the questionnaires circulated to small- and medium-sized manufacturing companies. Given a successful smart factory implementation, company competitiveness is the factor that mostly influences organizational participation, government assistance, external consultancy, and CEO leadership. This study suggests several perspectives to implement a smart factory, which is the most important aspect of company competitiveness.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.81-88
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• 2022

This study is to investigate the perception of domestic appraisers about the possibility of using artificial intelligence (AI) and related risks from the use of AI in the appraisal industry. We conducted a mobile survey of evaluators from February 10 to 18, 2022. We collected survey data from 193 respondents. Frequency analysis and multiple response analysis were performed for basic analysis. When AI is used in the appraisal industry, factor analysis was used to analyze various types of risks. Although appraisers have a positive perception of AI introduction in the appraisal industry, they considered collateral, consulting, and taxation, mainly in areas where AI is likely to be used and replaced, mainly negative effects related to job losses and job replacement. They were more aware of the alternative risks caused by AI in the field of human labor. I was very aware of responsibilities, privacy and security, and the risk of technical errors. However, fairness, transparency, and reliability risks were generally perceived as low risk issues. Existing studies have mainly studied analysis methods that apply AI to mass evaluation models, but this study focused on the use and risk of AI. Understanding industry experts' perceptions of AI utilization will help minimize potential risks when AI is introduced on a large scale.

• Review of Culture and Economy
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• v.20 no.1
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• pp.51-80
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• 2017

This study aims to analyze various issues and problems in the implementation process of cultural impact assessment in 2016. As a result of the analysis, it is found that the evaluation index of the cultural impact assessment is difficult to understand, and the referring data and materials in the evaluation planning phase in the process of the cultural impact assessment are deficient, and the evaluation planning is based on surveys rather than various methods. And there are some problems with evaluation scales and weighting, and they are focused on the evaluation itself rather than the feedback of the evaluation results. Therefore, this study suggests that, in the evaluation planning phase, the different methods of comparing the evaluation results according to the project execution, the project progress, and the completion time of the project should be adopted, and the project manager and the evaluation group participate developing the evaluation indicators together, and methodology for identifying causal relationship such as system dynamics will be adopted. In the stage of evaluation, it is necessary to introduce various methodology such as diverse residents participation, abundant case study, application of quantitative methodology, and the utilization of expert evaluation teams. In the evaluation feedback stage, it is necessary to provide thorough consulting based on the evaluation results.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.708-716
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• 2003

공급사슬의 구조가 복잡해지고 고객의 수요가 다양해지면서 공급사슬에서의 물류기능은 점점 중요시 되고 있다 지금까지의 생산자는 전체 물류의 $50\%$ 이상을 제 3자 물류 업체를 통하여 수행하였다 그러나 최근 대두되고 있는 제 4자 물류환경에서는 물류센터가 물류컨설팅기능까지 수행함으로써 더 효율적인 물류를 수행하는 것을 목표로 한다. 이러한 환경에서 공급사슬 내의 물류센터는 단순히 제품의 배송 및 보관, 조달 업무를 수행하는 단계로써의 역할이 아닌 독립적으로 이윤을 추구하는 기업의 형태로 존재하게 된다. 따라서 제 4자 물류환경에서의 물류센터는 제품의 다양한 특성 및 수요의 패턴에 따라 효율적인 재고정책 선택과정이 필요하다. 그러나 기존의 연구에서 제시하고 있는 재고정책을 현실에 적용하기에는 한계가 있다. 이에 본 연구에서는 제 4자 물류 환경에서의 물류센터 시스템 구조와 다양한 제품특성 및 물류환경을 고려한 재고정책 선택모델을 제시한다. 수치예제를 통해 제안한 모델의 타당성 및 제 4자 물류시스템의 기대효과를 제시한다.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.419-424
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• 2004

부동산업 경영이란 부동산을 경영대상으로 하는 중개, 개발, 투자, 컨설팅 등 제 부동산업을 계획적이고 능동적이며 지속적으로 운영하는 과정, 기술, 과학적 운영 등을 말하는 것으로, 부동산상품과 그 상품을 다루는 인간에 대한 경영을 의미한다. 본 논문은 국내 부동산 시장의 토양 위에 선진부동산시스템을 도입하여 경영체질을 개선하고 경쟁력을 강화하고자 노력하고 있는 ERA-Korea 사를 조사기업으로 선정하여, 우리나라 부동산 기업의 경영활동에 경영패러다임의 변화를 적응시키고, 경영품질을 높이기 위하여 과학적 경영혁신 기법인 6 시그마를 적용하여 본 사례이다. 우선적으로 국내 부동산업의 취약점을 제시하고, 이를 극복하기 위한 부동산업 경영의 변화방향을 모색하였다. 다음으로 부동산 경영의 과학화를 위한 전략방향을 상세히 다루고, 이의 실현을 위한 기회도출을 구체적으로 제시하였다. 본 사례연구를 통하여 국내 부동산 기업에 새로운 경영품질관리 모델을 제시하고 궁극적으로 부동산기업의 경쟁력 강화를 위한 부동산 경영의 과학화 방법이 제시되었으면 한다.

• Journal of Korean Elementary Science Education
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• v.29 no.2
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• pp.233-241
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• 2010

The purpose of this study was to apply the instruction consulting model for elementary science lesson with novice teacher. In this study the PIE(Preparation, Implementation and Evaluation stage) instruction consulting model was used. This model was introduced and offered during the electromagnet unit for sixth graders. The results of this study were as follows. First, in the assessment of the teacher's satisfaction with the instruction consulting the client teacher was found to be very satisfied. Second, the inquiry and scientific achievement for the students of the client's class were to increase in the experimental group, which demonstrated a statistically significant difference. Given the above results, the instruction consulting applied with the PIE model for novice teachers, who desire to raise the success rate of the experiment for students in the electromagnet unit of the elementary science class, helped the teachers to teach the students.

• 정보화사회
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• s.147
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• pp.46-48
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• 2001

무선전자상거래(M-Commerce) 관련 기술개발 현황과 서비스 활성화 등을 주제로 한 ‘M-Commerce 활성화 세미나’가 지난 22일 오전 정부, 통신사업자, CP, 제조업체, 컨설팅회사 등이 참석한 가운데 서울 삼성동 COEX 그랜드 컨퍼런스룸에서 열렸다. 정보통신부가 주최하고 정보통신진흥협회가 주관하는 이번 세미나에서는 M-Commerce 관련 정부정책과 더불어 단말.시스템.서명인증 기술개발 동향과 전망 등 기술개발 관련 핵심사항, 지불인증체계 정립 방안과 요금체계 개선방안 등 법.제도 개선방안이 주로 논의됐다. 아울러 이동전화사업자, 컨텐츠 제공사업자, 제조업체 등 관련 사업자간 협력 방안과 IMT-2000, 기업업무 적용전략 등 서비스 활성화방안 등에 대한 주제 발표가 이어졌다. 총 3백여명이 참석한 이날 세미나에서 발표된 내용을 요약 정리한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.655-657
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• 2001

포렌식 컴뷰팅에 관하여 1984년부터 많은 연구가 진행되어 왔으며, 이 분야 연구는 주로 디스크에 관한 화학적, 물리적 방법을 이용한 증거 추출(Evidence Capture)에 중점을 두어 왔다. 최근 forensic software engineering 분야의 접근은 알고리즘의 error detection에 연구방향을 두고 있다. 그러나 지적 재산권 법을 온라인 상에서 컨텐츠를 이용하는 가운데 적용 시키는 연구는 미비하다. 본 연구에서는 지적 재산권을 이용한 XML tree를 만들고, parsing하여 RDB를 구축한 후 질의 (query)하여 매핑(mapping)시키는 시스템을 구현 하고자 한다. 입력자료는 우리가 기존에 개발한 DRM(Digital Rights Management)시스템에서 사용자를 모니터링하여 검출한 불법 복사/증거 프로 파일로 한다. 이것은 법 전문가에 의뢰하기 전에, 사용되는 컨텐츠가 법에 위배 된다면 지적재산권 법 몇조 몇항에 해당되는지를 사용자, 대리인/변호인, attorney, judge 등에게 컨설팅 해주는 시스템이다.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.5
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• pp.63-69
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• 2010

Forecasting game usages hours can supply good information resolving intensive server access and ensuring stable game service. In this paper, we applied various time series analysis methods to forecast game usage hours in 2009 on famous "Ion" and "Sudden Attack" games. According to the experiment, the seasonal variation method showed better performance forecasting actual usage hours.