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Volumn 133, Issue , 2014, Pages 184-192
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Creating a Sustainability Scorecard as a predictive tool for measuring the complex social, economic and environmental impacts of industries, a case study: Assessing the viability and sustainability of the dairy industry
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Author keywords
Bayesian network modelling; Environmental management; Sustainability; Sustainability Scorecard; Sustainable industry; Triple bottom line
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Indexed keywords
BAYESIAN NETWORKS;
ECONOMIC AND SOCIAL EFFECTS;
ENVIRONMENTAL IMPACT;
INDUSTRIAL ECONOMICS;
SUSTAINABLE DEVELOPMENT;
BAYESIAN NETWORK MODELS;
CASE-STUDIES;
DAIRY INDUSTRY;
ENVIRONMENT AND DEVELOPMENT;
ENVIRONMENTAL ECONOMICS;
PREDICTIVE TOOLS;
SOCIAL-ECONOMIC;
SUSTAINABILITY SCORECARD;
SUSTAINABLE INDUSTRIES;
TRIPLE BOTTOM LINE;
ENVIRONMENTAL MANAGEMENT;
BAYESIAN ANALYSIS;
ENVIRONMENTAL CHANGE;
ENVIRONMENTAL IMPACT;
GLOBAL PERSPECTIVE;
INDUSTRIAL DEVELOPMENT;
INFORMATION MANAGEMENT;
MILK PRODUCTION;
SOCIOECONOMIC CONDITIONS;
SUSTAINABILITY;
ARTICLE;
CARBON FOOTPRINT;
CASE STUDY;
DAIRY INDUSTRY;
ECONOMIC ASPECT;
EMPLOYMENT;
ENVIRONMENTAL IMPACT;
MANAGEMENT;
PLANNING;
POLICY;
PRODUCTIVITY;
QUALITY CONTROL;
RISK MANAGEMENT;
SOCIAL ASPECT;
SUSTAINABLE DEVELOPMENT;
AUSTRALIA;
BAYESIAN NETWORK MODELLING;
ENVIRONMENTAL MANAGEMENT;
SUSTAINABILITY;
SUSTAINABILITY SCORECARD;
SUSTAINABLE INDUSTRY;
TRIPLE BOTTOM LINE;
BAYES THEOREM;
DAIRYING;
ENVIRONMENT;
INDUSTRY;
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EID: 84891050024
PISSN: 03014797
EISSN: 10958630
Source Type: Journal
DOI: 10.1016/j.jenvman.2013.12.013 Document Type: Article |
Times cited : (52)
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References (21)
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