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Damjan Krajnc
Researcher at University of Maribor
Publications - 29
Citations - 1745
Damjan Krajnc is an academic researcher from University of Maribor. The author has contributed to research in topics: Sustainability & Sustainable development. The author has an hindex of 11, co-authored 24 publications receiving 1525 citations.
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A model for integrated assessment of sustainable development
Damjan Krajnc,Peter Glavič +1 more
TL;DR: In this paper, the authors proposed a model for obtaining a composite sustainable development index (ICSD) in order to track integrated information on economic, environmental, and social performance of the company with time, where normalized indicators were associated into three sustainability sub-indices and finally composed into an overall indicator of a company performance.
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How to compare companies on relevant dimensions of sustainability
Damjan Krajnc,Peter Glavič +1 more
TL;DR: In this article, a model for designing a composite sustainable development index that depicts performance of companies along all the three dimensions of sustainability (economic, environmental, and societal) is presented.
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Indicators of sustainable production
Damjan Krajnc,Peter Glavič +1 more
TL;DR: The main cause of environmental damage is unsustainable production and con-sumption, especially in industrialized countries as discussed by the authors, and it is necessary to apply appropriate metrics that will enable these assessments.
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University ranking using research, educational and environmental indicators
TL;DR: In this article, a three dimensional university ranking (TUR) model is proposed to compare universities regarding research, educational and environmental performances; the mission of university fits the sustainability idea, which enables quick detection of the weaknesses, strengths and opportunities for universities.
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Sustainability performance evaluation in industry by composite sustainability index
TL;DR: In this article, the authors applied different combinations of normalization, weighting, and aggregation methods for the assessment of an industrial case study, with the aim of determining the best scheme for constructing composite indicators.