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The total essence of apparel manufacturing buildings (AMBs) is highly influenced by fire incidents which are caused direct or indirect impacts to the present building structure or even in old age. Hence, the purpose of this paper is to evaluate the fire risk of AMBs in Sri Lanka.

A literature review was conducted to explore the local and international fire incidents in AMBs and identify 24 factors that contribute to fire risk of AMBs. A questionnaire survey with professionals who have the knowledge and experience related to past fire incidents and 18 interviews with professionals of fire safety management were carried out. Content analysis was involved to evaluate interviewees’ opinions and relative importance index was involved to rank identified factors that contribute to the fire risk of AMBs.

The results revealed that due to the business nature of AMBs hold a high risk for fire incidents. The study discovered 83.4% of high fire risk prevailing in AMBs in Sri Lanka. Faulty wiring, welding work with electrical sparks and accumulation of waste fabric, paper and other garbage recognized as the top three factors that contribute to the fire risk of AMBs in Sri Lanka. Finally, the strategies proposed to eliminate identified all 41 factors that contribute to the fire risk of AMBs in Sri Lanka.

The paper helps to guide facility owners regarding the fire safety of AMBs in Sri Lanka.

Facilities management (FM), which is crucial for the operation and sustainability of buildings and infrastructure across the world, covers a wide range of competencies that may vary across regions. Focusing on Sri Lanka and Hong Kong, this study aims to reveal and compare the importance and current competency levels of FM competencies in these regions, based on which appropriate education and training can be formulated to enhance the growth of their FM sectors.

After an extensive literature review, 12 FM competency attributes (CAs) were identified. A questionnaire survey in Sri Lanka and Hong Kong solicited the industry practitioners’ perceived importance and current levels of the CAs. The survey responses, 126 from Sri Lanka and 148 from Hong Kong, were analysed by a modified Importance-Competency Analysis matrix, followed using the Mann−Whitney U test to identify any differences in the responses between the two regions.

Between Sri Lanka and Hong Kong, significant differences were found to exist in the importance and current competency levels of over half of the CAs. Among the CAs requiring priority attention, “operation and maintenance” and “leadership” are the top two in Sri Lanka while the top two in Hong Kong are “technology” and “leadership”.

This study yielded insightful results on the importance of FM competencies and the current competency levels in a developing region and a developed region, which are useful for the development of FM education and research.

The creation of occupant satisfaction can be reached through the involvement of building performance mandates (BPMs) while enhancing the functionality of buildings. BPMs comprise five mandates namely, spatial performance, thermal performance, indoor air quality performance, acoustic performance, and visual performance. BPMs have been recognized as a vital element when refurbishing post-fire apparel buildings. However, the evaluation of post-fire refurbishment projects is mainly focused on mechanical and physical properties while ignoring the BPMs. Further, there is insufficient literature on the BPMs in post-fire building refurbishment. Hence, the purpose of this research is to identify the importance of BPMs, and its challenges and propose strategies to enhance the building performance of post-fire refurbished apparel manufacturing buildings in Sri Lanka.

The study was conducted by involving a qualitative research approach. An extensive literature review and eighteen semi-structured interviews under three fire-affected apparel cases were involved as data collection methods and collected data were analyzed using content analysis.

Findings highlighted the procedure of post-fire refurbishment and the importance of BPMs for apparel buildings to enhance building performance in post-fire situations. The research identified 42 challenges encountered in maintaining BPMs of post-fire refurbished apparel buildings and provided 70 strategies to overcome the identified challenges.

This study offers a comprehensive analysis of challenges in maintaining BPMs and strategies to overcome the identified challenges which facilitate enhancing the performance of post-fire refurbished apparel buildings in Sri Lanka.

In this present globalised era, outsourcing has become a very popular and much sought after procurement strategy for facilities management (FM). Generally, a sustainable procurement system should be capable enough to deliver the services free of disruptions. However, outsourcing can bring about changes in working patterns, organisational culture and management styles which can possibly disrupt the activities of an organisation. In order to avoid such disruptions, organisations need to adopt a measured approach towards this change. Accordingly, the purpose of this paper is to investigate the importance of change management to enable sustainable outsourcing of FM services.

Within commercial building context, the questions of “why change is not managed during outsourcing of FM services” and “how can it be managed” are investigated through case studies.

Organisations encountered various disagreements due to inadequate management of change during outsourcing. If the changes emanating from outsourcing are not managed satisfactorily, it would result in possible disruptions. However, to make changes happen successfully is one of the most challenging tasks faced by the leadership and corporate management of the organisations.

In order to facilitate the practitioners in the industry, this paper finally offers a framework for change management during outsourcing based on the findings.

This paper reports the developments of a project cost control system (PCCS) for construction projects to (1) measure its current level of cost control maturity, (2) examine the relationships between elements within PCCS processes and (3) identify improvement areas.

This study adopts a mixed approach of descriptive analysis and partial least squares structural equation modelling (PLS-SEM) to measure the current maturity level of PCCS and evaluate the relationships between elements within PCSS to identify improvement areas. Further importance-performance matrix analysis (IPMA) of priority constructs was conducted to improve a target construct and identify the most important areas of specific actions at indicator levels. The results of IPMA revealed the contrast that has the greatest importance on the performance of others so that the recommendations can be made accordingly. Data collected in New Zealand were used to develop the research model.

This study develops structural and measurement models with the constructs including pre-control, in-control and post-control processes, enablers and their proposed interrelationships. Then, data from survey of 184 experienced project cost control team members reveal that post-control has the lowest maturity or weakest areas in the PCCS. Data analysis facilitated by PLS-SEM confirmed that all the constructs in the structural model have positive and significant relationships with each other and suggested that systematic cost analysis reports, communication, skills and experience, defining roles and responsibilities, and top management's support should be the highest priority for improving the PCCS in a more effective manner.

This study presents one of the earliest attempts to develop and test an integrated model that links sub-processes in PCCS and their enablers. Secondly, this research adds to the construction project management literature by empirically verifying the roles of enablers in enhancing maturity level of PCCS.

The purpose of this research is to identify the most impactful delay risks in Australian construction projects, including the associations amongst those risks as well as the project phases in which they are most likely present. The correlation between project and organisational characteristics with the impact of delay risks was also studied.

A questionnaire survey was used to collect data from 118 delayed construction projects in Australia. Data were analysed to rank the most impactful delay risks, their correlation to project and organisational characteristics and project phases where those risks are likely to emerge. Association rule learning was used to capture associations between the delay risks.

The top five most impactful delay risks in Australia were changes by the owner, slow decisions by the owner, preparation and approval of design drawings, underestimation of project complexity and unrealistic duration imposed to the project, respectively. There is a set of delay risks that are mutually associated with project complexity. In addition, while delay risks associated with resources most likely arise in the execution phase, stakeholder and process-related risks are more smoothly distributed along all the project phases.

This research for the first time investigated the impact of delay risks, associations amongst them and project phases in which they are likely to happen in the Australian context. Also, this research for the first time sheds light on the project phases for the individual project delay risks which aids the project managers to understand where to focus on during each phase of the project.

The purpose of this paper is to predict implementation cost contingencies for residential construction projects in flood-prone areas, where floods with storms frequently cause serious damage and problems for people.

Expert interviews are conducted to identify the study variables. Based on bills of quantities and project documents, historical data on residential construction projects in flood-prone areas are collected. Pearson correlation analysis is first used to check the correlations among the study variables. To overcome multicollinearity, principal component analysis is used. Then, stepwise multiple regression analysis is used to develop the cost prediction model. Finally, non-parametric bootstrap method is used to develop range estimation of the implementation cost.

A list of project-related variables, which could significantly affect implementation costs of residential construction projects in flood-prone areas, is identified. A model, which is developed based on an integration of principle component analysis and regression analysis, is robust. Regarding range estimation, 10, 50 and 90 percent cost estimates, which could provide information about the uncertainty levels in the estimates, are established. Furthermore, implementation cost contingencies which could show information about the variability in the estimates are determined for example case projects. Such information could be critical to cost-related management of residential construction projects in flood-prone areas.

This study attempts to predict implementation cost contingencies for residential construction projects in flood-prone areas using non-parametric bootstrap method. Such contingencies could be useful for project cost budgeting and/or effective cost management.

Building information modelling (BIM) creates a golden thread of information of the facility, which proves useful to those with the malicious intent of breaching the security of the facility. A cyber-attack incurs adverse implications for the facility and its managing organisation. Hence, this paper aims to unravel the impact of a cybersecurity breach, by developing a BIM-facilities management (FM) cybersecurity-risk-matrix to portray what a cybersecurity attack means for various working areas of FM.

This study commenced with exploring cybersecurity within various stages of a BIM project. This showcased a heightened risk of cybersecurity at the post-occupancy phase. Hence, thematic analysis of two main domains of BIM-FM and cybersecurity in the built environment led to the development of a matrix that illustrated the impact of a cybersecurity attack on a BIM-FM organisation.

Findings show that the existing approaches to the management of cybersecurity in BIM-FM are technology-dependent, resulting in an over-reliance on technology and a lack of cybersecurity awareness of aspects related to people and processes. This study sheds light on the criticality of cyber-risk at the post-occupancy phase, highlighting the FM areas which will be compromised as a result of a cyber-attack.

This study seeks to shift focus to the people and process aspects of cybersecurity in BIM-FM. Through discussing the interconnections between the physical and digital assets of a built facility, this study develops a cyber-risk matrix, which acts as a foundation for empirical investigations of the matter in future research.

Building cost is an important part of construction projects, and its correct estimation has important guiding significance for the follow-up decision-making of construction units.

This study focused on the application of back-propagation (BP) neural network in the estimation of building cost. First, the influencing factors of building cost were analyzed. Six factors were selected as input of the estimation model. Then, a BP neural network estimation model was established and trained by ten samples.

According to the experimental results, it was found that the estimation model converged at about 85 times; compared with radial basis function (RBF), the estimation accuracy of the model was higher, and the average error was 5.54 per cent, showing a good reliability in cost estimation.

The results of this study provide a reliable basis for investment decision-making in the construction industry and also contribute to the further application of BP neural network in cost estimation.

The concept of facilities management (FM) has been acknowledged as a novel avenue brought in to ensure productivity and customer satisfaction in the Sri Lankan hotel industry. Accordingly, performance measurement (PM) has become a crucial entity, where key performance indicators (KPIs) have become the most important instruments of PM in determining how well these FM services are performing. Unfortunately, nowadays, the service quality of hotel buildings has significantly retreated due to the absence of a proper PM system with relevant KPIs. Thus, the purpose of this study was to identify relevant KPIs to measure the performance of the FM services in Sri Lankan hotel buildings.

A mixed approach was used to conduct this study. Data were gathered through expert interviews and an expert survey. The expert interviews were conducted to identify the relevancy of KPIs that are discovered through literature review to the Sri Lankan context, and the expert survey was conducted to identify their level of importance. Collected data were analysed using content and statistical data analysis methods.

Empirical findings revealed that a PM system with relevant KPIs can be identified as a crucial requirement for FM services in hotel buildings in Sri Lanka to meet the customer needs successfully. Adequate and relevant KPIs are significantly vital for an effective PM system for FM services. Thus, ultimately, 68 most important KPIs have been captured amongst the generally identified KPIs, which can be used in developing a proper PM system to measure the performance of FM services in hotel buildings.

The previous studies have just focused on the PM in FM services in a general manner where a significant dearth in existing knowledge can be identified when it comes to exploring relevant KPIs for an effective PM system to be implemented in hotel buildings in Sri Lanka to measure the performance of FM services. Accordingly, the current study unveils the most important KPIs, which can be used in measuring the performance of FM services in hotel buildings. The study recommends the use of a proper PM system with identified KPIs by respective industry practitioners to enrich the performance of FM services in hotel buildings in Sri Lanka and thereby achieve the ultimate goals successfully.