Analysis of the Determinant Factors Development of Maintenance Culture in Malaysian Local Authorities
1 Faculty of Geoinformation & Real Estate, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
2 Faculty of Built Environment, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
Malaysia is a fast growing developing country and its vision is becoming a developed country with a first class infrastructure. Towards this vision, the assets and facilities were developed, owned or leased by public sector especially buildings, constructions and infrastructures to fulfill administrative and social needs as well as economic responsibilities to general public. In Malaysia, public asset and facilities is owned by three major levels of government, which are the federal government, state government and the local government also known as local authority. Between these three forms of government, Local Authorities hold a large number of facilities that place demands on resources. They have a responsibility to use and maintain a wide range of property assets including classified and heritage buildings, single purpose facilities and state of the art multipurpose facilities. Over the years, the local authorities in Malaysia currently have been soundly criticized by public caused poor maintenance culture. The assets especially public buildings and infrastructures are not maintained properly. Thus, developing the maintenance culture is essential to increase the awareness about maintenance activity on public facilities and assets in Malaysian Local Authorities. Regarding this scenario, the purpose of this study is to determine the determinant factors affecting development of maintenance culture identified based on the review of previous research. As a guide to achieve the research objective, a questionnaire survey was conducted to investigate the significance of ten determinant factors identified in the research study and their related affecting to development of maintenance culture in local authority as a respondent in this research. The collected data was then analyzed using quantitative approaches such as mean analysis, relative important index as well as others.
© Owned by the authors, published by EDP Sciences, 2014
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