A preliminary framework for corporate real estate sustainable management

• Main Authors: Ali A.S.B (Author), Ali, S.N.M (Author), Azmi N.F.B (Author), Chua S.J.L (Author), Fauzi, N.S (Author), Johari, N. (Author), Kamaruzzaman S.N.B (Author), Nawawi, A.H (Author), Zainuddin, A. (Author)
• Format: Article
• Language: English
• Published: EDP Sciences 2016
• Subjects: Best Practice Guide; Best practice guidelines; Business operation; Content analysis method; Corporate real estates; Generic modeling; Global warming; Sustainable development; Sustainable management; Sustainable performance; Uncertainty analysis
• Online Access: View Fulltext in Publisher; View in Scopus

 The global warming issue has motivated corporations to go green in their business operations including transforming from conventional real estate to green features real estate. However green CRE is more complex to manage due to a building's significant impact on environmental, social and economic aspects. Thus the need to have a best practice guide or framework as reference is crucial. Unfortunately, no best practice guidelines on CRE management have been found to be sufficient as much uncertainty still exists on the sustainable performance measurement components. This research aims to explore and then summarize the present sustainable CREM practices and components relating to sustainable performance measurement integrating a sustainable theory that balances environmental, economic and social impacts. These act as indicators to measure the outcomes of the practice in the form of a generic model on sustainability preliminary framework for CRESM. The objectives of this research include identifying corporate real estate sustainable management (CRESM) practice and components of sustainable performance measurement. The research uses content analysis method to analyse data gathered from literature and previous studies. The findings will be demonstrated in the form of a framework model on CRESM that will include14 CREM strategies and 15 components derived from analysis. © 2016 The Authors.