• Journal of Construction Engineering and Project Management
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• v.7 no.4
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• pp.1-12
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• 2017

India has accorded a high priority to road infrastructure development through Public-Private Partnership (PPP) and it has set a high target for investment inflows. Yet, it is widely held that road/highway infrastructure has not been developing at required pace and that the road infrastructure projects under PPP have been suffering from several hurdles and delays, thereby affecting project success/failure. This paper is an attempt to analyze the critical success/failure factors of road infrastructure projects under PPP in India. A questionnaire survey was conducted among a sample of the stakeholders of road infrastructure projects to identify the critical success/failure factors during all four major project stages using different approaches. Initially, the critical factors were identified through ranking based on the average/mean score. Later, the conventional RII score was used to identify the critical success/failure factors. Finally, the critical success/failure factors were also identified based on the stakeholder-wise ranking of the factors and their convergence. The assessment revealed that there was a greater convergence across the different methods and also that there was greater consensus among project stakeholder on the critical success/failure factors of road PPP projects.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.1-13
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• 2005

Many buying and selling companies have participated in B2B electronic commerce in order to boost sales and cut down purchase prices respectively. There are some studies on buying and selling companies performances of using B2B e-marketplaces which provide electronic B2B transaction services such as finding transaction partners, providing on-line transaction process like auctioneering, etc. This study investigates the critical failure factors against B2B e-marketplace in other words B2B market-maker or B2B intermediary. We proposed 4 hypotheses asserting that 4 critical failure factors make reverse effects on B2B intermediary performances. We adopt the Balanced Score Card (BSC) framework to evaluate B2B intermediary performance. Data were collected from 46 respondents of B2B intermediaries in Korea. Analyses showed that traditional off-line B2B practices like refunding to buyer or transactions without legal documents and low quality of product information and catalog are critical failure factors against B2B intermediary performance.

• Nuclear Engineering and Technology
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• v.33 no.6
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• pp.596-604
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• 2001

This paper quantitatively presents the effects of important factors of the probabilistic safety assessment (PSA) of safety-critical digital systems. The result which is quantified using fault tree analysis methodology shows that these factors remarkably affect the system safety. In this paper we list the factors which should be represented by the model for PSA. Based on the PSA experience, we select three important factors which are expected to dominate the system unavailability. They are the avoidance of common cause failure, the coverage of fault tolerant mechanisms and software failure probability. We Quantitatively demonstrate the effect of these three factors. The broader usage of digital equipment in nuclear power plants gives rise to the safety problems. Even though conventional PSA methods are immature for applying to microprocessor-based digital systems, practical needs force us to apply it because the result of PSA plays an important role in proving the safety of a designed system. We expect the analysis result to provide valuable feedback to the designers of digital safety- critical systems.

• Asian Journal of Innovation and Policy
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• v.3 no.1
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• pp.25-49
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• 2014

We wanted to show the different group dynamics of factors for success and failure cases for technology commercialization in small technology-based firms. Existing studies are based on product level, project level, division level or firm level. We deal with technology level, and at small-technology-based firms. This is a longitudinal case study based on 8 cases from Korea. Our study on technology level is a first trial in success and failure studies unlike all existing studies. As a first step, we introduced new categories and factors such as technology attributes and CEO reflecting data, and especially a new concept of launch readiness level. Finally, we adopted correspondence analysis to show the group dynamics. The results are as follows; Technology factors are the most important factors. Second, resource-based factors are more critical in failure cases than success cases and technology factors are more critical to success.

• Journal of Information Technology Services
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• v.6 no.3
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• pp.251-272
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• 2007

Although Enterprise Systems (ES) have promised major strategic benefits and process improvements from business and technology integration, their implementation has been plagued by a high failure rate and difficulty in realizing the promised benefits. For the purpose of understanding implementation failures, previous studies have focused on identifying critical success factors (CSFs) for information systems implementation. However, there has been little research on how these CSFs actually lead to successful results. In this study, based on process theory, we examined the process of ES implementation by explaining how the factors of ES implementation influence each other and how interaction among them produces results. Based on a failure case, we then developed a process model of ES implementation thus allowing us to explain the process of ES implementation. The proposed model facilitated an understanding of how repeating patterns of ES failure can be reversed. This model can be used for guiding new ES implementation projects.

• Korean Journal of Construction Engineering and Management
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• v.13 no.3
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• pp.78-88
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• 2012

Previous construction failure researches were focused on the utilization plan based on failure information and development of failure classification. However, it has limitation to set up the plan for prevention of construction failure due to the lack of the number of on-site staffs. In order to prevent effectively construction failure, a prevention plan should be established through quantitative evaluation of failure causes. The purpose of this study is to suggest the assessment method for selection Critical Management Factor(CMF) and to analyze the CMF on the apartment structural framework using FMEA(Failure Mode and Effective Analysis) which is one of the methods of quantitative evaluation. The element of risk evaluation separated degree of failure risk and prevention respectively. The assessment method for selection of CMF can be utilized for planning proactive solutions on the failure, and it can be also selected critical factors about each project phases, type of facility and construction work.

• Asia pacific journal of information systems
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• v.8 no.1
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• pp.103-124
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• 1998

The recent information society is affected by new technologies including EC(Electronic Commerce), CALS(Commerce At Light Speed), EDI(Electronic Data Interchange), telecommuting and teleconferencing. The research goal of this paper is to identify major failure factors to reduce the dysfunction of EC and to suggest possible strategies that overcome those obstacles. The research methodologies of major failure factors are very similar to those of critical success factors which were widely used in MIS research areas. Ideally EC provides the possibility of a win/win situation for vendors and consumers. A survey study was performed using questionnaires. The factor analysis was performed to identify failure factors. Several hypotheses were set up to identify the major failure factors to reduce the dysfunction of EC. The regession analysis was performed to test those hypotheses and to understand the relationships between the major failure factors identified and the performance variables such as satisfaction, usage, and usefulness. Finally, the paper suggests alternatives to activate EC in terms of regulations, social rules, a technological model, etc.

• Journal of Korean Critical Care Nursing
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• v.6 no.2
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• pp.51-64
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• 2013

Purpose: This study was to analyze adherence to self-care behaviors and identify factors affecting the adherence behaviors among inpatients with heart failure. Methods: A total 94 hospitalized inpatients from three hospitals participated in a survey. Data were collected using structured self-reported questionnaire from November 28, 2011 to March 31, 2013 and analyzed using frequency, t-test, ANOVA, Pearson's correlation coefficients and stepwise multiple regression. Results: The score of adherence to self-care behaviors among inpatients with heart failure was $26.02({\pm}8.84)$. Factors related to the adherence to self-care behaviors were living with spouse (t=-2.47, p=.019), functional state (t=2.18, p=.034), heart failure knowledge (r=-.49, p<.001), social support (r=-.35, p<.001), self-control (r=-.25, p=.016), and self-care confidence (r=-.24, p=.019). The factors affecting adherence to self-care behaviors were heart failure knowledge, self-care confidence, and social support. These factors explained 32% of the variance in adherence to self-care behaviors. Conclusion: The adherence to self-care behaviors with heart failure can be improved if heart failure knowledge, self-care confidence, and social support are improved. Therefore, developing a nursing intervention program for patient with heart failure that is considered these factors leads to improve quality of life and prevent readmission.

• Journal of Construction Engineering and Project Management
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• v.6 no.4
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• pp.24-34
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• 2016

Disputes seem to be synonymous with large-scale construction projects in Ethiopia. The purpose of this study is to determine the factors responsible for impacting the performance of Ethiopian public construction projects. To this end, 35 success and failure attributes responsible for impacting the performance of the projects were identified and presented to Ethiopian construction professionals in the form of a structured questionnaire, and responses were collected. The factor analysis conducted on the success and failure attributes influencing no-dispute performance separately resulted in six success factors and five failure factors. Further analysis using stepwise multiple regression indicates that owner competence and interaction among project participants have a positive impact on no-dispute performance. However, conflict among project participants has a negative impact on the no-dispute performance of Ethiopian public construction projects. Although Ethiopia-specific, the results reflect construction management problems common to both developed and developing countries. The findings are expected to help researchers and practitioners gain a better understanding of critical success and failure factors and to help them take proactive measures to avoid disputes in public construction projects.

• Nuclear Engineering and Technology
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• v.31 no.1
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• pp.49-57
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• 1999

It has been a critical issue to predict the safety critical software reliability in nuclear engineering area. For many years, many researches have focused on the quantification of software reliability and there have been many models developed to quantify software reliability. Most software reliability models estimate the reliability with the failure data collected during the test assuming that the test environments well represent the operation profile. User's interest is however on the operational reliability rather than on the test reliability. The experiences show that the operational reliability is higher than the test reliability. With the assumption that the difference in reliability results from the change of environment, from testing to operation, testing environment factors comprising the aging factor and the coverage factor are developed in this paper and used to predict the ultimate operational reliability with the failure data in testing phase. It is by incorporating test environments applied beyond the operational profile into testing environment factors. The application results show that the proposed method can estimate the operational reliability accurately.