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dc.contributor.authorLin, Liang-kongen_US
dc.contributor.authorDen, Walteren_US
dc.contributor.authorChou, Ying-Chyien_US
dc.contributor.authorYen, Hsin-Yien_US
dc.contributor.authorLu, Ching-Huaen_US
dc.date.accessioned2018-08-21T05:56:54Z-
dc.date.available2018-08-21T05:56:54Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn2157-3611en_US
dc.identifier.urihttp://hdl.handle.net/11536/146810-
dc.description.abstractGreen House Gas (GHG) emission has become a critical issue for firms to achieve sustainability. This paper focuses on improving enterprises allocate resource on greening more efficiently and proposes a hybrid MCDM model combining Analytic Hierarchy Process (AHP) and Decision-making Trial and Evaluation Laboratory (DEMATEL) to recognize the crucial criteria which have dependence and causality, and build the network relationship map among all GHG criteria. Eighteen criteria of GHG emission with six dimensions were selected from the literatures and modified by six experts of energy sector. The results showed that improve energy efficiency and reduce energy consumption are recognized to be the most influential dimensions of six. In addition, identifying the causality between six dimensions provide an insight for practitioners utilizing firm's resources in GHG emission more effectively.en_US
dc.language.isoen_USen_US
dc.subjectGreenhouse gas emissionen_US
dc.subjectMCDMen_US
dc.subjectDEMATELen_US
dc.subjectCorporate sustainabilityen_US
dc.titleA study on Developing the Indicators of Energy Conservation and Carbon Reduction for the Businessen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM)en_US
dc.citation.spage1491en_US
dc.citation.epage1495en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000411458400300en_US
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