• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1240-1240
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• 2022

Construction projects are fraught with risks from cost or other overruns to accidents along with other issues. This is true whether the relevant organization is an owner, general contractor, CM, specialty-trade contractor, or other entity. When cost issues or other issues confront arise, how should an organization proceed whether attempting to gain additional compensation in terms of cost/other damages or protecting the same against such claims if they do not appear to be warranted? Enter construction cost forensics. This presentation will focus on strategies/techniques with construction cost forensics in these areas in order to be successful. Covered techniques include those to develop and analyze claims including fundamental construction cost analysis techniques. When an unexpected event disrupts a construction project, using sound analytical methods to identify the cause and quantify the extent of the issue will be important for negotiating a fair result or for obtaining a successful outcome in arbitration or litigation. Key examples of uncovering issues via construction cost forensics will be covered in this presentation.

• 경영과정보연구
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• 제19권
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• pp.145-170
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• 2006

The purpose of this study is to examine the relationship between core factor of Knowledge Management(KM) and organizational effectiveness. The objects of study are middle manager in hosing construction and civil engineering and construction industry, and the sample size is 228. The core factor of KM and indicator of organizational effectiveness are drawn by literature survey. The core factors are classified into human capital, organizational capital, structural capital, (to put it concretely), job capability, human relation, strategy, information technology, process, sharing culture, leadership, measurement. The indicator of organizational effectiveness are measured by job satisfaction, organization loyalty, competitiveness. The main results of this study can be summarized as the following. 1) The core factor of KM has a positive relationship to organizational effectiveness. Especially, the core factor of sharing culture and leadership are strongly relationship with organizational effectiveness. 2) There was a high positive correlation between job satisfaction and organization loyalty. 3) Human, structural, and structural capital had a different affect on organizational effectiveness. 4) The more job position and educational level high, the more they recognized that KM is necessary for their organization. 5) Among the success factor in KM, the factor of job capability was well perceived to respondent. According to this study, we can analyzed the relationship between success factor and organizational effectiveness, and drawn the most influence success factor on organizational effectiveness. Concurrently, the results of this study will be useful guidelines for shaping the KM operation framework in construction industry.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.149-156
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• 2011

The performance measurement of construction firms is considered as a competitive advantage to develop and improve their performance to have place in the market and stay able to face the continuous challenge. Egyptian construction firms (ECF) started recently to adopt quality management system (QMS) as a way to develop and improve their performance as previous studies showed. However, measuring that performance to include all the firm's aspects in a competitive way is a crucial process for the ECF's culture. The research is trying to indicate the role of the QMS implementation in measuring performance (MP) through developing a model for measuring performance on the organization level, and explore its impact on the organization that adopt quality management system. This model is based on specific elements and their related indicators which have been derived from national approaches and models of measuring performance (benchmarking, quality awards and six sigma).Elements determination and the status of their real practice has been investigated through a questionnaire to a representative sample of ECF. This model determines the performance level (PL) of the organization that measured by a mean of a point system. Weights of the elements in the point system considered both the elements' importance in the international models and its real practice in the Egyptian construction firms. So, the final outcome of the model reveals the level of firm performance that helps the firm to identify the weak points against the strong ones, Confirm the priorities and identify new opportunities for developing, and Check the position of the company in the market among the others. Another questionnaire has been developed to be distributed on a group of Experts on measuring performance for the purpose of model validation. The majority of surveyed experts agreed that the proposed model can be applied effectively.

• 한국재난정보학회 논문집
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• 제19권1호
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• pp.18-30
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• 2023

연구목적: 본 연구는 서울시 철도터널 건설공사의 공사계측비 분석 및 개선방안을 도출하여 건설계측의 신뢰향상으로 계측기술 발전에 기여한다. 연구방법:공사계측비의 설계 및 계약 현황, 공사계측비의 적용 현황 및 분석, 안전관리비와 품질관리비 분석, 이를 개선하기 위해 계측관리용역에 대한 대가 산정기준 적용 확대와 발주처에서 직접 발주하는 방안을 제시한다. 연구결과: 그동안 건설공사에 포함하여 발주하던 계측관리용역을 입찰참가자격 사전심사를 통하여 발주처에서 계측업체를 직접 선정하여 계측을 수행하면 계측 품질을 높이고 정확한 계측데이터 확보가 가능하다. 결론:계측관리용역에 대한 대가 산정기준은 시공사에서 하도급으로 수행하게 되는 순공사비 내에 포함하는 방식이 아닌 발주처 직접 발주로 엔지니어링진흥법에 따른 실비정액가산방식과 지반조사 표준품셈의 계측관리비 산출기준의 적용을 확대해야 한다.

• 한국병원경영학회지
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• 제9권2호
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• pp.1-22
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• 2004

This study was designed to suggest a learning organization in a medical center by examining the factors to influence effectiveness of the learning organization. We collected the data of 586 persons who participated once or more times in the learning organization managed from 2000 to 2002 by Y Medical Center located in Seoul, and included the data of 285 persons in the final analysis. The results of the study are summarized as follows. First, as the results of examining the regression coefficients to predict the effectiveness of and satisfaction with the learning organization through the learning level, learning method and learning organization constructing level as the general variables, the important influential factors were shown as follows: 1)knowledge creation, knowledge storing, private learning, organizational learning, and learning organization construction of occupational and human levels as the factors to predict the working competency; 2) learning organization construction of the human level as the factors to assume the duty satisfaction; 3) gender, working years, private learning, team learning and organizational construction level for the prediction of the organizational commitment; and 4) medical technical service, knowledge creation, organization learning, and constructing level of the environmental and human levels for the assumption of the satisfaction with experience in the learning organization. Based on the study results of the effects in managing the learning organization, we can conclude the followings. First, the members who are in various working positions and occupations need to continuously participate in the learning organization. Second, to raise the organizational outcome from the management of the learning organization, it is necessary to establish systematic concepts in the constituents of the organizational effectiveness such as working competency improvement, duty satisfaction and organizational commitment, and the experience satisfaction of the learning organization. Finally, the future of the organization depends on the learning competencies of the organization members. To continuously exist and develop the organization, the private learning of the organizational members should be constantly spread and shared over the organizational level, and the usual innovations such as repetitive and habitual organizational learning should be generally tried out throughout the whole field of the management.

• 한국건설관리학회논문집
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• 제20권4호
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• pp.94-103
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• 2019

건설프로젝트의 품질경영활동에서 조직구성원의 적극적인 참여는 성공적인 경영성과 달성을 촉진한다. 본 연구는 참여를 촉진하는 메커니즘을 발견하고자 한다. 선행연구에서 참여를 촉진하는 선행요인은 보상시스템과 만족이다. 제안된 연구모델의 검증을 위해 232명을 대상으로 샘플데이터를 수집했다. 구조방정식 모델을 이용한 실증분석을 했다. 연구 결과, 제안된 모든 변수가 직원참여에 유의한 정(+)의 영향을 미쳤다. 직급 및 근로계약 유형에 따른 조절효과가 발휘되었다. 본 연구의 결과는 품질경영활동의 촉진을 위한 보다 폭넓은 관점에서 참여를 촉진할 방안을 모색하는 연구자 및 관리자에게 유용한 이론 및 실무적 시사점을 제공할 것으로 기대한다.

• 한국건축시공학회지
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• 제21권3호
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• pp.241-247
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• 2021

건설프로젝트가 복잡해지고 대형화되어감에 따라서 조직이 어떤 역할을 하느냐가 더욱 중요한 일이 되고 있다. CM 현장조직의 성과를 높이기 위해서는 CM 현장조직에 적합한 조직구조를 찾아 조직문화를 올바르게 형성하고 구성원의 직무만족을 높이는 것이 필요하다. 따라서 본 연구는 CM 현장조직의 조직구조가 조직문화 및 직무만족에 미치는 영향을 파악하는 것을 목적으로 한다. 연구 결과 CM 현장조직의 조직구조는 공식화가 3.51로 가장 높게 나타났으며 집권화가 2.71로 가장 낮게 나타났다(5점 만점). 또한 상관분석 결과 조직구조는 조직문화와 직무만족과 상관관계가 있는 것으로 나타났다. 본 연구는 CM 현장조직에 적합한 조직구조를 설계하는데 도움이 될 것으로 사료된다.

• 보건행정학회지
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• 제15권3호
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• pp.1-16
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• 2005

This study was planned to investigate the relationship between development levels of learning organization and organization effectiveness in Hospital. Data were collected from 285 respondents who have participated in 'Learning Organization Project'(response rate =$50.5\%$). Structured questionnaire were applied by self administrated survey for two weeks since 2003 May. Main results were as follows; In the result of factor analysis, four factor were created and almost questionnaire items were classified into as same categories as theoretical concepts. Cronbach's a coefficient also showed over 0.7 in all categories. This result means that measurement tool to evaluate the development level of learning organization is valid and reliable. In the comparison of the development level of learning organization by participants' specialties, managerial workers perceived the lowest construction level, while medical technicians evaluated it as the highest level. In regression analysis, the perception levels of work environment, task and human aspect showed positive relationship with job competency significantly. For job satisfaction, levels of task and human aspects had positive relationship significantly. In addition, for organizational commitement, levels of organization and human aspect were positive predictors. Finally, for the satisfaction about experience of learning organization project, levels of environment, task and hmm aspects were related positively. We concluded from these result that the positive relationship between construction levels of learning organization and organization effectiveness was extended to hospital, besides industrial fields. We recommend the introduction and facilitation of learning organization project in various settings to improve the competency of knowledge management in individual and organizational levels.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2004년도 추계학술대회
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• pp.253-258
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• 2004

Domestic construction industry (including plant engineering industry) faces severe competition with world-wide leading companies under WTO (World Trade Organization) system. To survive in this competition, domestic construction company should establish and operate standardization system efficiently. In this paper, check list is presented to prepare the efficient reliability management system in domestic construction. And then, the check list is applied in MIR(Maturity Index on Reliability) estimation item to estimate reliability management level of company quantitatively.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.