• International conference on construction engineering and project management
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• 2009.05a
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• pp.345-353
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• 2009

The success and failure of any project depends upon many factors, the Project Manager is considered to be the key contributor to the success of any project, as well as a guide to the team members to achieve the client satisfaction (Cost, Time and Quality). Therefore the main aim of this paper is to provide a practical approach for understanding the importance of the Project Manager and his effectiveness to the success of the construction projects. In addition, the Project Manager's roles, responsibilities and duties have direct impact to the success of the construction projects. In order to identify the thoughts and opinion of the construction industry on this particular assertion, a quantitative study was carried out within the UK construction industry. The result of the study shows that there is an extremely strong correlation between the Project Manager and the success of the construction projects. In construction projects the Project Manager is considered to be one of the most important people who can lead and drive the projects in the right direction and conclude construction projects successfully. Moreover, these can play the most important role regarding the improvement of the organization's performance, the organization's profitability and the client's satisfaction. The research confirmed that the Project Manager is a very essential element to the success of the construction project and have an impact at every stage of the construction project. So it concluded that selection of a Project Manager should be carefully done with regard to experience, knowledge, power/authority and good understanding to the kind of the project.

• Land and Housing Review
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• v.11 no.4
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• pp.115-124
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• 2020

Incentive/Disincentive (I/D) contract is designed for minimizing any disruption of traffic flow in road construction projects. I/D contracting projects have been evaluated with regard to time and cost performance in various states, more than 35 states. However, construction project managers and planners have little understanding of the project factors that affect the project time and cost performance of highway construction projects using I/D regulations. Therefore, the purpose of this research is to find factors that affect I/D project success or failure to improve the decision-making process for the implementation of I/D projects. In order to achieve the objectives of this research, the researchers collected I/D road construction project data from FDOT and performed evaluation for each collected project. Then, project data analysis to identify key factors that affect I/D project performance was performed. In conclusion, five significant factors for project time performance and six significant factors for project cost perfornace were identified and summarized.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.130-138
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• 2011

In the construction industry, there is a growing demand for new programs incorporating IT applications. In construction, initiatives calling for changes ensuring the improvement of productivity, quality and safety, and for the strengthening of global competitiveness, have contributed to the increased need for exploring new markets. Moreover, the government's supportive policies have helped develop profit models. Meanwhile, the industry and the government have supported the efforts for identifying and disseminating successful case studies - as part of the strategy for evaluating and promoting the developed programs. However, the criteria for identifying/evaluating successful cases remain vague, and the viewpoints of participants differ depending on their disciplines. These discrepancies could lead to inconsistent results. Thus, it is imperative that a criterion be provided, upon which to judge the success or failure of implementation cases and to disseminate role models. It is also imperative that a direction of improvement be proposed. This study was conducted to propose the criteria for and process of evaluating the success of construction-IT convergence to help promote the construction industry incorporating IT applications. To that end, success factors for and the significance of IT-incorporated construction were identified.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.71-86
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• 2023

Although starting a business plays a key role in strengthening national competitiveness and creating jobs, it is recognized as a risky choice. Failure to start a business can result in a wide range of negative effects, such as loss of personal wealth as well as deterioration of national competitiveness. This study considers startups that have reached a level of sustainable growth by achieving performance above the minimum profitability and sales standards for KOSDAQ listing, or achieved EXIT through sale or listing, as successful startups. based on the practical experiences of 23 successful entrepreneurs and Based on perception, the importance and priorities of startup success factors were derived through stratification analysis (Analytic Hierarchy Process, AHP), and interviews were conducted. In particular, using the ERIS model, we comprehensively analyze various variables of a start-up by considering the four elements of the entrepreneur, resources, industry, and strategy, and examine the changes and importance of success factors according to the characteristics of each growth stage of the start-up. As a goal, we specifically identified the challenges and opportunities faced by entrepreneurs at each stage. As a result of the study, the order of importance of the top factors of success factors in the start-up period was found to be the entrepreneur, resources, industry, and strategy. In particular, the importance of the entrepreneur's entrepreneurship spirit, special capabilities, general capabilities, and human resources was emphasized. The order of importance of the top factors of success factors during the growth period was found in the following order: entrepreneur, resources, industry, and strategy. In particular, the importance of general capabilities, entrepreneurship, and human and organizational resources was emphasized. This study is significant in that it analyzes startup success factors from the perspective of successful entrepreneurs and provides useful insights and directions to entrepreneurs and policy makers.

• Restorative Dentistry and Endodontics
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• v.36 no.6
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• pp.465-476
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• 2011

In current endodontic practice, introduction of operating microscope, ultrasonic instruments, and microinstruments has induced a big change in the field of surgical retreatment. In this study, we aimed to offer key steps of endodontic microsurgery procedure compared with traditional root-end surgery, and to evaluate factors influencing success and failure based on published articles. Endodontic microsurgery is a surgical procedure performed with the aid of a microscope, ultrasonic instruments and modern microsurgical instruments. The microscope provides magnification and illumination - essential for identifying minute details of the apical anatomy. Ultrasonic instruments facilitate the precise root-end preparation that is within the anatomical space of the canal. Modern endodontics can therefore be performed with precision and predictability, thus eliminating the disadvantages inherent in traditional periapical surgery such as large osteotomy, beveled apicoectomy, inaccurate root-end preparation and the inability to observe isthmus. Factors influencing the outcomes of endodontic microsurgery may be diverse, but standardization of procedures can minimize its range. Among patient and tooth-related factors, periodontal status and tooth position are known to be prognostic, but there are only few articles concerning this matter. High-evidence randomized clinical trials or prospective cohort studies are needed to confirm these findings.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.151-152
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• 2021

The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.463-468
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• 2007

The disputes in construction projects are very important issue for stakeholders. However, many of presented claims have not received the compensation money required, and frequently turned down. The most cause is that the claims are not managed systemically on construction. Therefore, it is important to identify which management works are conducted on construction and how significantly do they relevant to construction claim. This research derives key claim management factors through analyzing causes for claim success and failure, and then presents management works relevant to them. This research also proposes the method for effective claim management and its expected effect through expert interview.

• Information Systems Review
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• v.9 no.1
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• pp.311-341
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• 2007

This paper presents a case study on BSC(Balanced Scorecard) system development of Korea Post as a Korean public firm. BSC models of public or private sector are generally developed in different types due to their different strategic goals. Korea Post as a government firm has dual characteristics of BSC similar to both public and private sector. This firm has the organizational type of public firms, not private firms. To date many government subsidiary organizations have already introduced BSC or are trying to introduce BSC, but have difficulty in developing BSC successfully because of insufficient understanding of BSC. Based on a case study of Korea Post, this study analyzed key success and failure factors and suggested prospects on BSC system development of public firms.

• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.71-104
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• 2004

This paper explores the empirical performances of the workout companies with special interests in the effectiveness of corporate reorganizing tools on their revitalization. In the empirical analysis it considers the criteria of success or failure in restructuring from both creditors' and debtors' perspectives. The key results are summarized as follows. First, the initial conditions on the debt structure of the workout companies are significantly related to the revitalization from both creditors' and debtors' point of view. Second, the debt restructuring instruments are insignificant in the success of corporate turnarounds while the debt-to-equity conversion has been a relatively effective tool. Third, the self-restructuring efforts, employment downsizing and governance reshuffling do not affect the performances significantly. The higher importance of initial conditions than corporate restructuring efforts may imply that Korean corporate workouts serve better to the needs of creditor financial institutions which are to maximize debt recovery and of the government which is to overcome financial crisis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.64-69
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• 2022

Commercialization of public technology is the transfer of government-led scientific and technological innovation and R&D results to the private sector, and is recognized as a key achievement driving economic growth. Therefore, in order to activate technology transfer, various machine learning methods are being studied to identify success factors or to match public technology with high commercialization potential and demanding companies. However, public technology commercialization data is in the form of a table and has a problem that machine learning performance is not high because it is in an imbalanced state with a large difference in success-failure ratio. In this paper, we present a method of utilizing CTGAN to resolve imbalances in public technology data in tabular form. In addition, to verify the effectiveness of the proposed method, a comparative experiment with SMOTE, a statistical approach, was performed using actual public technology commercialization data. In many experimental cases, it was confirmed that CTGAN reliably predicts public technology commercialization success cases.