Conference
International Conference on Risk Management & Engineering Management
About: International Conference on Risk Management & Engineering Management is an academic conference. The conference publishes majorly in the area(s): Risk management & Electricity market. Over the lifetime, 120 publications have been published by the conference receiving 361 citations.
Papers published on a yearly basis
Papers
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04 Nov 2008
TL;DR: In this article, a momentous conclusion is that user acceptance of Internet banking is highly influenced by perceived risk and perceived uncertainty, and the results strongly support the UTAUT model.
Abstract: Internet is expected to be especially beneficial to the banking industry. As more and more financial institutions are finding ways to utilize Internet technologies to launch online banking services, an important issue is to understand what factors will impact the decisions of customers in adopting such services. Based on the UTAUT model, the DM and the results strongly support our model. A momentous conclusion is that user acceptance of Internet banking is highly influenced by perceived risk and perceived uncertainty.
17 citations
04 Nov 2008
TL;DR: A model of real estate investment risk evaluation based on fuzzy DEA method was put forward by using the relatively effective evaluation characteristic of Data Envelopment Analysis (DEA) and the feasibility of this method was verified through an example.
Abstract: In order to implement the multiple factors and multi-target assessment of real estate investment risk, a model of real estate investment risk evaluation based on fuzzy DEA method was put forward by using the relatively effective evaluation characteristic of Data Envelopment Analysis (DEA). And the feasibility of this method was verified through an example. This study offers a more rational basis for making decision to real estate investment.
15 citations
04 Nov 2008
TL;DR: Using an aggregate production model where capital, labor and energy are treated as separate inputs, the authors test for the existence and direction of causality between output growth and oil consumption in China.
Abstract: Using an aggregate production model where capital, labor and energy are treated as separate inputs, this paper tests for the existence and direction of causality between output growth and oil consumption in China. Using the Johansen cointegration technique, the empirical findings indicate that there exists long-run cointegration among output, labor, capital and oil consumption in China. Then using a VEC specification, the short-run dynamics of the interested variables are tested; indicating that there exists bilateral Granger-causality running between oil consumption and GDP. We thus further analyze the policy implications.
14 citations
04 Nov 2008
TL;DR: A Integration of Genetic Algorithm and fuzzy neural networks (GFNN) are proposed to forecast corporation bankruptcy and the results indicate that the predictive accuracies obtained from GFNN are much higher than the ones obtained from NNs.
Abstract: The use of neural networks (NNs) for financial applications is quite common because of their excellent performances of treating non-linear data with self-learning capability. Often arises the problem of a black-box approach,i.e. after having trained neural networks for a particular problem, it is almost impossible to analyse them for how they work. The Fuzzy Neural Networks(FNN) allow to add rules to neural networks. This avoids the black-box but lacks of effective learning capability. To overcome these drawbacks, in this study a Integration of Genetic Algorithm and fuzzy neural networks (GFNN) are proposed to forecast corporation bankruptcy. The results indicate that the predictive accuracies obtained from GFNN are much higher than the ones obtained from NNs. To make this clearer, an illustrative example is also demonstrated in this study.
13 citations
04 Nov 2008
TL;DR: This paper establishes the evaluating indicator that evaluates the risk carrying capacity of all the project participants, and points out a new train of thought in the field of quantitative analysis research of project risk allocation.
Abstract: Construction project risk allocation is one of the problems which all the project participants concerning about. On the basis of studying the principles of project risk allocation, this paper establish the evaluating indicator that evaluates the risk carrying capacity of all the project participants. The evaluating factor set in the risk allocation is determined, the integrated risk allocation coefficients of all project participants are calculated in the method of fuzzy integrated evaluation, and the method of the risk loss allocation of each project participant is proposed. This method clears the risk responsibility of each project participant, and points out a new train of thought in the field of quantitative analysis research of project risk allocation.
12 citations