Critical Success Factors (CSF) is used to measure an organization's performance in achieving its mission. In building maintenance, CSF is important as it can identify the cause of failure as well as improving the system. The aim of this paper is to derive a generic concept of CSF in maintenance management to be used by various organizations in Malaysia. This paper reviews the current practices of maintenance management in local authorities in Malaysia. The focus is the management of maintenance including setting up an organization, policies and quality standards. The target group for sampling of data are the local authorities in Selangor. Two stages are involved in the study and this paper presents the first stage of data collection. Based on a literature review and the findings, the critical factors for success are identified. It is believed that CSF can enhance the management process and work planning, which would result in a more economic use of resources and a corresponding reduction in the total cost of maintaining buildings

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This study identified the main agents, problems, solutions, and strategies for lowering industrial carbon dioxide (CO2) emissions in the cement industry in East Java, Indonesia, by applying an analytical network process. Respondents included government officials, industrial representatives, and environmental experts. This study revealed that (1) regulators are the critical agents controlling emissions; (2) the three major problems faced when aiming to reduce industrial emissions are limited environmental knowledge, inadequate infrastructure, and unsound regulations; (3) the main solutions are education, socialization, and infrastructure improvement; and (4) the institutional approach is preferable to command-and-control and economic incentives. This suggests that policymakers should collaborate closely with regulators, firms, and communities to more effectively control emissions and encourage environmentally friendly industrial practices. Economic incentives are not preferable strategies, most likely because of insufficient environmental knowledge, market distortion due to subsidies, and low viability. However, the institutional approach incurs higher costs due to political, administrative, and legal processes. Parties may agree on achieving socioeconomic demands but not environmental output. The institutional approach also requires extra investment in education and socialization as well as government support for infrastructure development and a better regulatory framework.

Maintenance data for government buildings in Putrajaya, Malaysia, consists of a vast volume of data that is divided into different classes based on the functions of the maintenance tasks. As a result, multiple interactions from stakeholders and customers are required. This necessitates the collection of data that is specific to the stakeholders and customers. Big data can also forecast for predictive maintenance purposes in maintenance management. The current data practise relies solely on well-structured statistical data, resulting in static analysis and findings. Predictive maintenance under the Big Data idea will also use non-visible data such as social media and web search queries, which is a novel way to use Big Data analytics. The metamodel technique will be used in this study to evaluate the predictive maintenance model and faulty events in order to verify that the asset, facilities, and buildings are in excellent working order utilising systematic maintenance analytics. The metamodel method proposed a predictive maintenance procedure in Putrajaya by utilising the big data idea for maintenance management data.

Abstracts The arts and science in determining the residential property value make property value has evolved due to the changing in external factors such as economy, environmental and social. This research is aim to determine the residential property value by taking into account the economic attributes that could affect the value of residential property in flood risk areas. The economic attributes consist of structural, locational and environmental attributes involved in residential property valuation in relations with flooding. This paper will discover the significance and effect of each economic attributes in determining residential property value in flood risk area. An extensive review of previous studies in economic valuation of property for different floods disaster studies. It is considered to be the main restrictive factor resulting in lack of empirical studies in this field. Practitioners and researchers will find this study useful in developing an improved understanding of the economic valuation of flooding. The finding reveals that the economic attributes response to floods for a residential property value with positive, negative and none expected effects.