• Knowledge Management Research
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• v.20 no.3
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• pp.173-193
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• 2019

Reward-based crowdfunding is a funding platform that allows funds to be raised to early operators who have lack of funds, and is seen as an outstanding infrastructure that is going to lead the fourth industrial revolution in that it is a field of realization of new technologies and creative ideas by start-ups. Reward-based crowdfunding has grown in line with the trend of the fourth industrial revolution, and funding success cases are taking place in various industries that culture/art to technology/IT, including as a new means of knowledge management in a rapidly changing industrial environment. The study focused on the fact that consumer's donation purposes may also vary depending on the category of projects classified as reward-based crowdfunding. Because consumer payment decisions and motivation of consumer purchasing behavior are classified according to the purpose of purchase, the previous papers that the goal gradient effect that the main motivation of consumer donation for reward-based crowdfunding introduced vary depending on project category of utilitarian and hedonic. In this study, consumer's daily donation data is collected by Indiegogo which is a leading reward-based crowdfunding company using web-crawling and the model was defined as propensity score matching (PSM) and random effect model. The results showed that the goal gradient effect occurred in utilitarian project category, but no goal gradient effect for the hedonic project category. Furthermore, this paper developed the study of motivation of consumer donation and contributes theoretical foundation by the results consumer donation may vary depending on the project category; also, this paper has implications for an effective marketing strategy depending on the project category leaves real meaning to the projector.

• Korean Journal of Construction Engineering and Management
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• v.15 no.3
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• pp.47-57
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• 2014

LNG plant projects tend to be implemented in overseas owing to its characteristics, so their project management scheme is somewhat different from those of general projects. Value chain in a LNG plant project includes exploration/production of gases, physical liquefaction/chemical conversion processes, transportation and storage. Key factors in the chain include liquefaction process (including ultra-low temperature liquefaction) to convert natural gas into liquid materials or fuel, and Front End Engineering Design (FEED) package, as well as Engineering, Procurement and Construction (EPC) technology comprising control, operation and construction. Success of a complex LNG plant project implemented in overseas depends on decision-making process in project management. Accordingly, to develop a decision-making model in of plant construction, the study extracted none factors in project management by EPC stage and assessed importance of each factor. The result showed that items in both project management and project risk management are important. Especially, the study developed a decision-making model in the construction stage of a LNG plant project based on the project management factors and importance assessment. The developed decision-making model would lay groundwork in building a decision-making system in construction stage of project management.

• Information Systems Review
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• v.18 no.1
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• pp.177-197
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• 2016

Information technology (IT) outsourcing is considered an effective strategy to manage and maintain organizational technologies in a rapidly changing business environment. In particular, to meet diverse market needs, many organizations that outsource their IT functions practice a multi-vendor approach as their main outsourcing strategy. Although a few studies have been conducted about the multi-vendor approach, most previous works primarily emphasized conceptual arguments and normative prescriptions. In addition, scant attention has been directed toward the relational structure between the client and multiple vendors in the multi-vendor approach and its implications for outsourcing success. This study proposes a model from the transaction cost perspective by conceptualizing two dominant relational structures of the multi-vendor approach, namely, single-vendor dominant model and the multi-vendor dominant model, and hypothesizing their relationships with two outsourcing outcomes, project success and user satisfaction. The proposed model is examined using the data collected from 246 companies that have implemented multi-vendor outsourcing. As expected, results indicate that the single-vendor dominant model has a more significant impact on project success, whereas the multi-vendor dominant model has a more significant impact on user satisfaction. The study concludes with the theoretical implications and directions for future research.

• Information Systems Review
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• v.4 no.2
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• pp.237-255
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• 2002

In this study, we develop a four phase model of ERP implementation, which includes Chartering phase, Project phase, Shakedown phase, and Onward and upward phase. We then examine how the completeness of each phase influences the implementation success as well as the completeness of next phase. The results of this study show that project phase and onward and upward phase both have significant impacts on the implementation success. We also find that all relationships between the completeness of previous phase and next phase are significantly positive.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.365-384
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• 2008

Many studies on ASP outsourcing area have focused on the Critical Success Factors(CSFs) of ASP outsourcing projects or on the service quality of ASP Service. But these studies have limitations to explain how to succeed in doing ASP outsourcing project. The objective of this research is to overcome this limitation by using the concept of "IT Risk" in Outsourcing. The effective control of the risks-caused during the IS outsourcing process-gives (ASP service using) users a powerful tool to minimize the risks and thus maximizes the possibility of ASP outsourcing project success. In order to perform this objective, this research set up the research model which is composed of three concepts. The three concepts are 1. Undesirable Outcomes(:UO) as IT outsourcing Risks, 2. The Source of Risks(:SOR) influencing the UO, and 3. the intention to get/execute Real Option Portfolio to control the risk level of SORs and UOs. This research has some important and interesting implications on the ASP outsourcing area. First, this research classifies the risk factors as three concepts and finds the interactions among them. Second, Using Real Option portfolio can control the risks effectively occurred during outsourcing projects. Third, Vendors(ASP service providers) can offer users IN TIME the options which can minimize the occurrence of risks.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.126-134
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• 2004

Since a construction project is a series of works that utilizes resources to accomplish the project goal for a given time period, efficient resource management is a prerequisite for the success of the project. Two major areas of resource management are resource constrained scheduling focusing on the limited resource availability and resource leveling focusing on smoothing resource usage pattern on the fixed project completion time. It is not available, however, to apply both techniques to a project at the same time. This paper proposes a model to enhance the minimum moment algorithm of resource leveling, aiming to find an efficient usage of resources and an appropriate project completion time. A survey was performed to evaluate the major five factors in the model. A case study demonstrates the value of the proposed resource leveling technique.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.115-125
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• 2011

An accurate estimation of software development size is an important factor in calculating reasonable cost of project development and determining its success. In this study, we propose estimation models, using function point based on the functional correlation between software, with empirical data. Three models($FP_{est}(I)$, $FP_{est}(II)$, $FP_{est}(III)$) are developed with correlation and regression analysis. The validity of the models is evaluated by the significance test by comparing values of Mean Magnitude of Relative Error (MMRE) and predictions of each model at level n%. Model $FP_{est}(III)$ proved to be superior to other models such as IFPC(Indicative Function Point Count), EFPC(Estimated Function Point Count), EPFS(Early Prediction of Function Size), $FP_{est}(I)$, and $FP_{est}(II)$. As a result, the accuracy of the model appears to be very high to determine the usefulness of the model to finally overcome weakness of other estimation models. The model can be efficiently used to estimate project development size including software size or manpower allocation.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.474-479
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• 2011

With Beijing's success in bidding for the 2008 Olympic Games, the increasing demand for infrastructure development and reduced public sector funding capacity has created a significant funding gap which calls for alternative project delivery methods such as Public-Private Partnership (PPP). Although the exploration of infrastructure projects using PPP model have been practiced since the late 80s, the $560 million National Stadium which served as the main venue for the Olympic Games is the first stadium project in China to be delivered under PPP operation. The project is generally considered successful despite the concession transfer in 2009 with concern of better serving the public interest. Compared to other infrastructure projects such as transportation, waste management and water management, the development of major sports facilities for mega-sports events with PPP has its own unique features and is subject to different major risks. This research identifies and analyzes critical risks in the implementation of PPP in major sports facility development through case study of the National Stadium project. A questionnaire survey and several interviews are conducted to solicit expert opinions from experienced practitioners. The purpose is to provide additional insights in risk management strategies and opportunities in China's PPP implementations in major sports facilities for policy makers and private sectors involved with investment decisions in future similar infrastructure development.

• Korean Journal of Construction Engineering and Management
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• v.14 no.1
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• pp.63-70
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• 2013

A judgment on the redevelopment projects' predicted profitability is an essential decision-making element for the success of the redevelopment projects. It is necessary to review the literature on profitability of redevelopment project and draw risk factors that could affect profitability through the risk analysis based on surveys. It is also necessary to judge profitability prediction toward the business value of the redevelopment project in the planning phase according to the risk analysis results which can affect the profitability prediction. In order to prevent the growing difficulties in executing the projects, a profitability prediction model is proposed using the method of management and disposal based on a proportional calculation that can estimate the share of expenses in order to judge profitability in the planning phase. With the improvement of profitability prediction models, it is possible to appropriately judge profitability in the planning phase in order to allow the prevention of suspension, reduction of project term, reduction of cost, and making of rational decisions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.3
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• pp.409-418
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• 2019

For the success of construction projects, construction companies have begun to recognize the innovation ability of members who participate in projects that can adapt and cope with environmental changes caused by knowledge-based informatization and globalization. The questionnaire of the research selected 254 final valid samples of the members participating in the construction project using online. An empirical analysis of the research model used the structural equation model (Smart-PLS 2.0). The purpose of this study is to investigate the effect of psychological ownership on person-job fit and rewards system in the construction project. First, person-job fit has a positive effect on psychological ownership. Second, intrinsic rewards and extrinsic rewards in the rewards system have a positive effect on the psychological ownership. Third, psychological ownership has a positive effect on innovative behavior. Finally, the mediating effects of psychological ownership were found to have no mediating effect on person-job fit and rewards system. In order to induce innovation behavior, the managers of construction companies need to recognize the importance of psychological ownership and build a model of construction project organization activation through development of person-job fit and rewards program.