• Management & Information Systems Review
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• v.36 no.2
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• pp.187-206
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• 2017

This study empirically investigated the direct and indirect effects of inter-organizational relationships control mechanisms (IRCM; prudent partner selection and complex contract) on the decrease of inter-organizational risks (i.e., relational risk and performance risk). The empirical results showed that prudent partner selection has a positive impact on the degrees of inter-organizational cooperation and the levels of inter-organizational information flow. The effects of complex contract on the inter-organizational cooperation and information flow were not significant. In the results of the decrease of inter-organizational risks, it was observed that inter-organizational cooperation has significant positive effects on the decrease of both relational risk and performance risk. It was found that partner selection only influences the decrease of performance risk. The impact of inter-organizational information flow on the decrease of inter-organizational risks was not statistically significant. The indirect effects of IRCM on the decrease of performance risk through inter-organizational cooperation were also empirically demonstrated. The significant impact of inter-organizational cooperation on the decrease of risks implies that high levels of collaborations among employees decrease the risk of opportunistic behavior as well as the possibility of low degrees of performance through cooperative efforts. According to the results of the effects of risks on supply-chain performance, only the impact of performance risk was negatively significant. This result points out that the low levels of performance cause delays in delivery and product launch, deterred production and delayed market response, and these deteriorated managerial activities necessarily decrease the degrees of supply-chain performance.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.471-480
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• 2023

The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.

• 월간 기계설비
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• s.92
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• pp.52-72
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• 1998

본 대학 건축설비과는 1995년 12월 대한설비공사협회 서울특별시회와 위탁교육에 관한 계약을 맺고 1996학년도에 협회 산하업체 직원 40명에 대한 별도학급을 편성하여 위탁교육을 실시하고 있으며, 1997학년도에도 39명에 대한 별도학급을 편성하여 위탁교육을 실시하였다. 위탁교육제도는 산업체 종사자들에 대해 전문지식의 습득기회를 확대하여 기술변화에 대응할 수 있는 능력을 함양시키고 기업의 경쟁력을 강화시키는데 목적을 두고 있다. 본 연구는 2년째로 접어든 건축설비과 위탁교육과정을 합리적으로 운영하고 교육생들의 학습의욕을 능동적으로 고취시켜 산업계의 기술변화에 적절히 부응할 수 있는 교육방안을 마련하기 위하여 1,2학년 위탁교육생들의 설문으로 교육생 성향을 분석하고 교육지도 방안, 산업체 지도방안 그리고 홍보 방안을 모색하고자 한다.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.86-94
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• 2015

This study is carried out to critically explore the direction of the improvement of the protection clauses of minor artists which is the core of Popular Culture Art Industrial Development Act enforced from July 29, 2014. The analysis shows that the law accepted the social issues such as the prevention of procuring minor prostitution, slave contracts(unfair long-term contracts), and third party's profit-extortion. However, the law missing or not specifically stated about age-based differential enforcement of work hours, dangerous acting scenes shouldn't be forced to minors, right to sleep, health, and study, as well as the penalty regulations in violation of each clause. Consequently, the Act's revision and supplementation is necessary to fully meet above insufficiencies referring to foreign practices.

• Journal of Practical Engineering Education
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• v.8 no.2
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• pp.75-81
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• 2016

This research proposes to design a flipped classroom with strategic questioning to enhance engineering student's creative problem-solving competency on the basis of the subject knowledge. By applying the designed flipped classroom to both of college and dual system engineering courses during one semester, this study explores to find the meaning and effects of the flipped learning method. The case study analyzed the influences of the flipped learning with the use of strategic questioning on student's problem-solving performance, and also investigated student satisfaction and evaluation of the learning in order to draw out the factors to consider further in the instructional design.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.51-59
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• 2019

This study includes the possibility of organizing courses that can accommodate both NCS-based and course-based qualifications program in terms of contracting departments operating a college-based work and study in parallel system, examining and comparing differences between the two qualifications. Based on the case study of mechanical design engineer based on the job of machine design, curriculum that meets both composition regulation is developed. The author predicts future operational differences and problems and suggests several ways to overcome them. In conclusion, a few words have been added to modify the composition regulations to help the professional educational institute that simultaneously operates a work parallel system and a course evaluation type as to develop the field-oriented curriculum minimizing the gap between provider-centered education and consumer-centered qualifications, and maximizing the performance of training and education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.325-326
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• 2021

LNG는 환경규제에 따라 화석에너지에서 친환경 재생에너지로 전환되는데 중요한 역할을 하는 에너지원이다. UN산하 세계해사기구(IMO)의 MARPOL협약에 따라 선박 황산화물 배출가스규제로 LNG추진 선박에 대한 수요가 증가되고 있을 뿐만 아니라 미국의 쉐일혁명으로 LNG를 수출함에 따라 공급의 변화가 급격하게 이뤄지고 있다. 과거 국가 주도의 프로젝트 성격이 강한 LNG 운송시장은 장기정기용선계약이 대부분이었으나 수요와 공급시장의 급격한 변화로 스팟시장의 중요성이 커지고 있다. 따라서 본 논문은 LNG 운송시장에서 시장참여자들의 스팟거래에 합리적인 의사결정이 이뤄지도록 과학적인 예측방법을 제시하고자 한다. LNG 스팟운임 예측에 기계학습모델 중 인공신경망 모델을 적용할 것이며 기존의 시계열분석 방법인 ARIMA모델과 비교하여 본문에서 제시된 모델의 예측성능의 우수성을 확인하였다. 본 논문은 LNG 스팟운임을 다룬 최초의 연구로서 학문적인 차별성이 기대된다.

• Annual Conference of KIPS
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• 2021.11a
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• pp.344-347
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• 2021

최근 환경문제에 관한 관심이 높아짐에 따라 전기차 시스템에 관한 연구개발도 활발히 진행되고 있다. 이에, 본 논문에서는 충전 가능성 예측을 위한 인공지능 기술과 학습 데이터의 무결성 보장, 데이터 속 개인정보 보호를 위한 블록체인 기술을 활용한 스마트 계약 중심의 효율적인 전기차 충전 시스템을 설계한다. 또한, 시스템 구현을 위한 충전 시스템의 충전 전, 충전 중, 충전 후로 나누어 제안하고, 충전소 선택 과정을 그림으로 보이며 실제 구현에 필요한 내용을 구성요소별로 제시한다.

• The Mathematical Education
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• v.60 no.4
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• pp.509-527
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• 2021

We investigated whether and how pre-service teachers took the realistic contexts seriously in the course of solving word problems; additionally, we investigated how pre-service teachers evaluated students' realistic and non-realistic answers to word problems. Many pre-service teachers, similar to students, solved some of the realistic problems unrealistically without taking the realistic contexts seriously. Besides, they evaluated students' non-realistic answers higher than the realistic answers. Whether the pre-service teachers could solve problems realistically or not, they did not appreciate students' realistic considerations for the reasons that those were not fitted to the intentions of the word problems, or those were evidence of the flaws of the problem. Furthermore, the analysis of premises implied in the pre-service teachers' evaluation comments showed the implicit didactic contracts about realistic word problem solving that they accepted and also anticipated students to follow. Our analysis of the pre-service teachers' conceptions of realistic word problems can help teacher educators design the teacher program to challenge and revise pre-service teachers' folk pedagogy.

• Journal of the military operations research society of Korea
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• v.37 no.1
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• pp.1-9
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• 2011

The contractor management is one of the important factors for the modem defense acquisition program. The occurrence of unlawful company causes the reason in which defense acquisition program is unable to be reasonably fulfilled and setback to the deployment of defense weapon system. In this paper, we propose the Artificial Neural Network to develop a prediction model for the discrimination of unlawful company in defense procurement. The data which are used in analysis, are obtained targeting domestic small & medium manufacture enterprises. It is expected that our model can be used to improve the program management capability for defense acquisition and contribute to the establishment of efficient procurement procedure through entry of the reliable domestic manufacturer.