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Hsueh S.-L.,Graduate Institute of Cultural and Creative Design | Yan M.-R.,Chinese Culture University
The Scientific World Journal

The trends of the green supply chain are attributed to pressures from the environment and from customers. Green innovation is a practice for creating competitive advantage in sustainable development. To keep up with the changing business environment, the construction industry needs an appropriate assessment tool to examine the intrinsic and extrinsic effects regarding corporate competitive advantage. From the viewpoint of energy and environmental protection, this study combines four scientific methodologies to develop an assessment model for the green innovation of contractors. System dynamics can be used to estimate the future trends for the overall industrial structure and is useful in predicting competitive advantage in the industry. The analytic hierarchy process (AHP) and utility theory focus on the customer's attitude toward risk and are useful for comprehending changes in objective requirements in the environment. Fuzzy logic can simplify complicated intrinsic and extrinsic factors and express them with a number or ratio that is easy to understand. The proposed assessment model can be used as a reference to guide the government in examining the public constructions that qualified green contractors participate in. Additionally, the assessment model serves an indicator of relative competitiveness that can help the general contractor and subcontractor to evaluate themselves and further green innovations. © 2013 Sung-Lin Hsueh and Min-Ren Yan. Source

Hsueh S.-L.,Graduate Institute of Cultural and Creative Design
The Scientific World Journal

This study proposes the promotion of environmental protection education among communities as a solution to the serious problems of high energy consumption and carbon emissions around the world. Environmental protection education has direct and lasting influences on everyone in society; therefore, it is helpful in our fight against many serious problems caused by high energy consumption. In this study, the Delphi method and the fuzzy logic theory are used to develop a quantizing assessment model based on qualitative analysis. This model can be used to assess the results and influences of community residents' participation in environmental protection education on green community development. In addition, it can be used to provide references for governing authorities in their decision making of green community development policies. © 2013 Sung-Lin Hsueh. Source

Taiwan is a nation densely concentrated with industrial properties, causing a high level of greenhouse gas emissions. Therefore, poor air quality and environmental pollution in Taiwan are severe societal problems. Although Taiwan has formulated severe environmental protection-related penalties, the excessive use of energy and high level of pollution remain a persisting environmental problem in Taiwan. Because communities are collective groups beneficial for the promotion of local policies, several subsidy policies for environmental quality improvement are currently promoted through community development in Taiwan. These policies consider factors such as Taiwan's long-day geographical environment and the increase in idle agricultural land after the process of economic transition. To explore the effectiveness of promoting these policies, this study applied the Delphi method and fuzzy logic theory to establish a quantified effectiveness assessment model. In addition, we determined that communities that encourage the participation of its residents and factors such as proenvironment, solar power, and plain afforestation enhanced the overall environmental protection of the community and reduced the emission of CO2. Furthermore, the core problems that hinder the improvement of current policies were identified. © 2015 Elsevier Ltd. Published by Elsevier Ltd. Source

Hsueh S.-L.,Graduate Institute of Cultural and Creative Design
Environmental Engineering and Management Journal

A township consists of diversified communities, and communities are the basic units of local infrastructure. The public buildings, public lighting equipment, private buildings, and community residents are the normal-state energy consuming aggregates. As community organizations have great influences, the promotion of community energy-saving policy under the organizational influence, along with the concepts of direction, evaluation, and subsidy, can help to realize the community energy-saving policies. This study uses the Delphi method and fuzzy logic theory to construct a quantized community energy-saving multi-attribute effect evaluation model, in order to evaluate the processes of community energy-saving promotional effects. Quantization is used as the criterion for reviewing the outcome of policy implementation, thus helping to achieve a low-carbon lifestyle of communities. © 2014, Gh. Asachi Technical University of Iasi. All rights reserved. Source

Shieh C.J.,Chang Jung Christian University | Hsueh S.L.,Graduate Institute of Cultural and Creative Design | Chang I.Y.,Chung Hua University
Journal of Environmental Protection and Ecology

Both tourism industry and science and technology industry are regarded as the star industries in the 21st century, presenting obvious benefits on creating employment opportunities and earning foreign exchange. Tourism industry has been considered as sunshine industry in global economic development with strong industrial connection to enhance the development of various industrial value chains, such as tourism, accommodation, catering, consumption, leisure, and transportation, and the economic benefit of multiplier effect. Tourism industry has become one of the largest industries with strong development and scale in global economy. Aiming at yangmingshan National Park, among visitors are distributed 500 copies of questionnaires. Total 297 valid copies are retrieved with a retrieval rate of 59%. The research results show significant correlations between: (i) ecotourism involvement and tourist experience; (ii) tourist experience and behaviour intention, and (iii) ecotourism Involvement and behaviour intention. The research results and suggestions are expected to assist ecotourism parks in the development. Source

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