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Paper eres2003_270:
Corporate real estate performance: A data-driven analysis

id eres2003_270
authors Tay, Linda; Liow Kim-Hiang; Ooi Joseph
year 2003
title Corporate real estate performance: A data-driven analysis
source 10th European Real Estate Society Conference (10-13 June 2003) Helsinki, Finland
summary This study utilizes data collected from MNCs and listed firms in Singapore to identify critical factors influencing corporate real estate performance. A data-driven analytical technique is adopted to study the direct and indirect effects of performance factors on corporate real estate. A further benefit of using this technique is that it allows a representation of additional interrelationships between the factors. From the current literature, there are four main categories of factors that affect corporate real estate performance. These are corporate, environment, portfolio and management related factors. The results indicate that only corporate real estate planning and the existence of a real estate unit have a direct impact on corporate real estate performance. This finding is both theoretically expected and important. The results reinforces current literature postulations on the importance of strategic planning as on of the key skills that corporate real estate managers need to be equipped with to meet the challenges ahead.
keywords Corporate real estate; Corporate real estate performance; Data-driven
series ERES:conference
email rsttayl@nus.edu.sg
discussion No discussions. Post discussion ...
ratings Ratings: 5
session Session 3, Corporate Real Estate
last changed 2008/12/29 19:09
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