Browsing by Author "Liou, Fen-May"

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Detecting hospital fraud and claim abuse through diabetic outpatient services
(2008-12-01)
Liou, Fen-May
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Tang, Ying-Chan
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Chen, Jean-Yi
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經營管理研究所
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Institute of Business and Management
Hospitals and health care providers tend to get involved in exaggerated and fraudulent medical claims initiated by national insurance schemes. The present study applies data mining techniques to detect fraudulent or abusive reporting by healthcare providers using their invoices for diabetic outpatient services. This research is pursued in the context of Taiwan's National Health Insurance system. We compare the identification accuracy of three algorithms: logistic regression, neural network, and classification trees. While all three are quite accurate, the classification tree model performs the best with an overall correct identification rate of 99%. It is followed by the neural network (96%) and the logistic regression model (92%).
DOES FIRM PERFORMANCE REVEAL ITS OWN CAUSES? THE ROLE OF BAYESIAN INFERENCE
(2010-01-01)
Tang, Ying-Chan
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Liou, Fen-May
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經營管理研究所
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Institute of Business and Management
A central problem in strategic management is how the inference 'sustainable competitive advantage generates sustainable superior performance' can be put into practice. In this article we develop a theoretical framework, to understand the causal relationships among (1) sustainable competitive advantage, (2) configuration, (3) dynamic capability, and (4) sustainable superior performance. We propose that a firm's competitive advantage, resource bundle configuration, and dynamic learning capability cannot be comprehended by outsiders. Its operational performance, however, can be captured by financial indicators. We promote an inductive Bayesian interpretation of the sustainable competitive advantage proposition. From this viewpoint, the presence or absence of competitive advantage may be reflected in the causal relationship between resource configuration, dynamic capability, and observable financial performance. We apply this theoretical framework to an example drawn from the global semiconductor industry, all area in which resource configuration and dynamic capability are essential to performance. The paper concludes with a summary of the proposed model and suggestions for future theoretical development of strategic management. Copyright (C) 2009 John Wiley & Sons, Ltd.
Grey forecasting model for CO(2) emissions: A Taiwan study
(2011-11-01)
Lin, Chiun-Sin
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Liou, Fen-May
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Huang, Chih-Pin
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管理科學系
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Department of Management Science
Among the various greenhouse gases associated with climate change. CO(2) is the most frequently implicated in global warming. The latest data from Carbon Monitoring for Action (CARMA) shows that the coal-fired power plant in Taichung. Taiwan emitted 39.7 million tons of CO(2) in 2007 - the highest of any power plant in the world. Based on statistics from Energy International Administration, the annual CO(2) emissions in Taiwan have increased 42% from 1997 until 2006. Taiwan has limited natural resources and relies heavily on imports to meet its energy needs, and the government must take serious measures control energy consumption to reduce CO(2) emissions. Because the latest data was from 2009, this study applied the grey forecasting model to estimate future CO(2) emissions in Taiwan from 2010 until 2012. Forecasts of CO(2) emissions in this study show that the average residual error of the GM(1,1) was below 10%. Overall, the GM(1,1) predicted further increases in CO(2) emissions over the next 3 years. Although Taiwan is not a member of the United Nations and is not bound by the Kyoto Protocol, the findings of this study provide a valuable reference with which the Taiwanese government could formulate measures to reduce CO(2) emissions by curbing the unnecessary the consumption of energy. (C) 2011 Elsevier Ltd. All rights reserved.
Grey forecasting model for CO2 emissions: A Taiwan study
(2011-11-01)
Lin, Chiun-Sin
;
Liou, Fen-May
;
Huang, Chih-Pin
;
管理科學系
;
Department of Management Science
Among the various greenhouse gases associated with climate change. CO2 is the most frequently implicated in global warming. The latest data from Carbon Monitoring for Action (CARMA) shows that the coal-fired power plant in Taichung. Taiwan emitted 39.7 million tons of CO2 in 2007 - the highest of any power plant in the world. Based on statistics from Energy International Administration, the annual CO2 emissions in Taiwan have increased 42% from 1997 until 2006. Taiwan has limited natural resources and relies heavily on imports to meet its energy needs, and the government must take serious measures control energy consumption to reduce CO2 emissions. Because the latest data was from 2009, this study applied the grey forecasting model to estimate future CO2 emissions in Taiwan from 2010 until 2012. Forecasts of CO2 emissions in this study show that the average residual error of the GM(1,1) was below 10%. Overall, the GM(1,1) predicted further increases in CO2 emissions over the next 3 years. Although Taiwan is not a member of the United Nations and is not bound by the Kyoto Protocol, the findings of this study provide a valuable reference with which the Taiwanese government could formulate measures to reduce CO2 emissions by curbing the unnecessary the consumption of energy. (C) 2011 Elsevier Ltd. All rights reserved.
Modeling Government Subsidies and Project Risk for Financially Non-Viable Build-Operate-Transfer (BOT) Projects
(2012-03-01)
Liou, Fen-May
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Huang, Chih-Pin
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Chen, Borliang
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管理科學系
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Department of Management Science
Governments encourage private sector participation in building infrastructure through Build-Operate-Transfer (BOT) agreements. Large projects may be financially non-viable despite their net economic benefits for the host society. Host governments might subsidize initial private investments to create financial feasibility. Small-scale subsidies might not sufficiently reduce project risks to attract private investment; however, large percentage subsidies might result in loose profit structures, discouraging the pursuit of efficiency. This article applies Monte Carlo techniques to data from the Taiwanese West Corridor High-Speed Rail Project to assess the subsidy-risk trade-off relationship. The results provide guidance for public-private negotiations.
Optimal Financing Mix of Financially Non-Viable Private-Participation Investment Project with Initial Subsidy
(2012)
Chen, Borliang
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Liou, Fen-May
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Huang, Chih-Pin
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交大名義發表
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National Chiao Tung University
Governments with limited fiscal budgets tend to encourage private sector participation in building economic and social infrastructure to meet the economic growth or social welfare through Private-participation (PPI) schemes. However, since large projects may be financially non-viable despite their net economic benefits for the society, host governments may choose to subsidize a portion of the initial cost to create financial feasibility for private participation so as to realize the expected net economic benefits. The private partners in a pure private-financed PPI scheme are expected to finance the original investment cost and recover it, with an acceptable return to compensate the project risk, from operating benefits under terms and conditions given in the concession agreement. The financial structure, that is, the financing mix between equity and debt, of the project determines the cost of capital and the value of the underlying project. An optimal financial structure minimizes the cost of capital and in turn, maximizes the project worth. Scientific problem - the government's role in PPI-led projects changes the traditional capital structure model in financial management, which includes only the financing mix of owners' equity and debt. It is necessary to develop a model into which the government's financial support is incorporated to identify the optimal financial structure of PPI projects. This paper develops a linear programming model based on discounted cash flow to determine the optimal financing mix of the project given governmental initial subsidy for non-financially viable PPI projects. The model takes a two-stage approach: first, a debt-free cash flow is developed to determine the government's initial subsidy; then, the optimal financing mix is determined based on the government's subsidy. We apply the proposed model to the Taiwan West Corridor High-Speed Railway project as an example. The results provide guidance for public-private negotiations. Scientific novelty - a linear programming model built on discounted cash flow is proposed to determine the optimal capital structure for non-financially viable PPI projects with government subsidy. The aim of this research - to develop a model into which the government's role in PPI projects is incorporated to determine the optimal capital structure. The results provide guidance to the public-private negotiations. The object of the research - non-financially viable PPI projects, taking Taiwan West Corridor High-Speed Railway Project as the example. The method of the research - a linear programming model built on discounted cash flow is used to find the optimal solution for multi-objective decisions.