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A QUALITATIVE STUDY OF MOTIVATION AND INFLUENCES FOR ACADEMIC GREEN BUILDING DEVELOPMENTS IN AUSTRALIAN UNIVERSITIES
Author(s) -
Xiaofeng Li,
Vladimir Strezov,
Marco Amati
Publication year - 2013
Publication title -
journal of green building
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.248
H-Index - 21
eISSN - 1943-4618
pISSN - 1552-6100
DOI - 10.3992/jgb.8.3.166
Subject(s) - reputation , order (exchange) , work (physics) , green building , engineering , comprehension , public relations , qualitative research , business , marketing , architectural engineering , sociology , political science , computer science , finance , social science , mechanical engineering , programming language
Green building projects have been adopted by many universities in Australia as part of their renovation and expansion. In order to investigate the motivations of academic decision makers to invest in green facilities, a comprehensive analysis of media articles of 24 green academic buildings approved by the Green Building Council of Australia (between 2004 and 2011) were analysed using a qualitative analytical approach based on grounded theory. Findings in this work show that the decision makers in Australian universities are more likely to be driven by the direct benefits green buildings brought to the universities, enhancing universities' reputation and meeting the specific needs for education and research. Other factors that deal with improving universities' financial conditions and environmental protection were found to be a lower significance for investments. However the connections between the motivating factors also reveal the indirect benefits of green buildings which are an enhancement in reputation by fulfilling an environmental protection responsibility and research capacity enhancement by supplying technical study opportunities for students and researchers. This paper proposes an approach to deal with the complex network of vague and subjective concepts of the green buildings comprehension. It supplies researchers with tools for analysing abstract concepts and determining their interactions.18 page(s

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