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Cleaning management of owner‐operated real estate

Cleaning management of owner‐operated real estate Purpose – The costs of cleaning owner‐operated office buildings amount to an approximate 20 per cent share of the operating costs. As a result of their cost relevance and the growing cost pressures on real estate divisions, cleaning costs are increasingly coming under focus. This interest manifests itself in the search for cost indicators and their drivers to be used as a basis for the management of real estate. This paper seeks to address this issue. Design/methodology/approach – A study of the specialist literature revealed, from a theoretical perspective, the relevant drivers of cleaning costs. The empirical study is based on cost and property information collected, on a uniform basis, from over 100 owner‐operated office buildings in Switzerland, with the analysis of cost drivers being carried out using regression analysis. Findings – The cleaning cost indicators of the examined properties revealed a median of 41 CHF/m 2 usable floor area and year. With regard to cost drivers, it was established that both building characteristics and usage determine the costs. However, the decisive drivers are, above all, the management strategies and the owners' main objectives. Research limitations/implications – The management strategies proved to be specific to the individual project partners. The causal relationships between strategies (e.g. outsourcing strategies) and costs may be considered to be well‐substantiated hypotheses, which require verification by means of future analyses. Originality/value – The study identified both indicators and relevant drivers of cleaning costs. To this end, this study collected data from over 100 owner‐operated office buildings within Switzerland and examined these data using regression analysis. As a result, the cleaning costs of the examined properties were ascertained. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Facilities Emerald Publishing

Cleaning management of owner‐operated real estate

Christian Stoy; Reinhold Johrendt
Facilities , Volume 26 (3/4): 13 – Feb 29, 2008
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References (10)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0263-2772
DOI
10.1108/02632770810849472
Publisher site
See Article on Publisher Site

Abstract

Purpose – The costs of cleaning owner‐operated office buildings amount to an approximate 20 per cent share of the operating costs. As a result of their cost relevance and the growing cost pressures on real estate divisions, cleaning costs are increasingly coming under focus. This interest manifests itself in the search for cost indicators and their drivers to be used as a basis for the management of real estate. This paper seeks to address this issue. Design/methodology/approach – A study of the specialist literature revealed, from a theoretical perspective, the relevant drivers of cleaning costs. The empirical study is based on cost and property information collected, on a uniform basis, from over 100 owner‐operated office buildings in Switzerland, with the analysis of cost drivers being carried out using regression analysis. Findings – The cleaning cost indicators of the examined properties revealed a median of 41 CHF/m 2 usable floor area and year. With regard to cost drivers, it was established that both building characteristics and usage determine the costs. However, the decisive drivers are, above all, the management strategies and the owners' main objectives. Research limitations/implications – The management strategies proved to be specific to the individual project partners. The causal relationships between strategies (e.g. outsourcing strategies) and costs may be considered to be well‐substantiated hypotheses, which require verification by means of future analyses. Originality/value – The study identified both indicators and relevant drivers of cleaning costs. To this end, this study collected data from over 100 owner‐operated office buildings within Switzerland and examined these data using regression analysis. As a result, the cleaning costs of the examined properties were ascertained.

Journal

Facilities – Emerald Publishing

Published: Feb 29, 2008

Keywords: Owner‐managers; Cleaning; Costs; Real estate; Switzerland

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