A multi-criteria expert decision system for investment decisions : The case of commercial real estate investments in China
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 100769 |
Journal / Publication | Socio-Economic Planning Sciences |
Volume | 71 |
Online published | 30 Nov 2019 |
Publication status | Published - Sep 2020 |
Link(s)
Abstract
Consistent with the rapid growth of the Chinese economy and its commercial real estate (CRE) market, evaluating CRE investments in China is becoming an important application area where a multi-criteria expert decision system can make a significant contribution. We used a multi-criteria expert decision system to evaluate ten actual CRE investments in China. Based on thirty-one industry experts, we identified key decision factors to consider when evaluating different CRE investment projects and determined their importance weights. We then evaluated whether or not the ten CRE investment projects were considered to be successful, taking into account the unique characteristics of each CRE investment project. We finally compared the evaluations for the ten cases with their actual performance using four different performance indicators. The results showed that the evaluations had at least 87.5% accuracy across four different performance indicators. As probably one of the first systematic and in-depth scholarly studies to evaluate CRE investment projects in China, this study contributes to a better understanding of such evaluations and helps CRE investors evaluate CRE investment projects in a more informed fashion.
Research Area(s)
- Decision processes, Developing countries, Expert decision systems, Investment analysis, Multi-criteria analysis
Citation Format(s)
A multi-criteria expert decision system for investment decisions : The case of commercial real estate investments in China. / Huang, Kun-Tai; Ozer, Muammer.
In: Socio-Economic Planning Sciences, Vol. 71, 100769, 09.2020.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review