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The construction industry remains one of the most hazardous industries worldwide, with a higher number of fatalities and injuries each year. The safety and well-being of workers at a job site are paramount as they face both immediate and long-term risks such as falls and musculoskeletal disorders. To mitigate these dangers, sensor-based technologies have emerged as a crucial tool to promote the safety and well-being of workers on site. The implementation of real-time sensor data-driven monitoring tools can greatly benefit the construction industry by enabling the early identification and prevention of potential construction accidents. This study aims to explore the innovative method of prototype development regarding a safety monitoring system in the form of smart personal protective equipment (PPE) by taking advantage of the recent advances in wearable technology and cloud computing.

The proposed smart construction safety system has been meticulously crafted to seamlessly integrate with conventional safety gear, such as gloves and vests, to continuously monitor construction sites for potential hazards. This state-of-the-art system is primarily geared towards mitigating musculoskeletal disorders and preventing workers from inadvertently entering high-risk zones where falls or exposure to extreme temperatures could occur. The wearables were introduced through the proposed system in a non-intrusive manner where the safety vest and gloves were chosen as the base for the PPE as almost every construction worker would be required to wear them on site. Sensors were integrated into the PPE, and a smartphone application which is called SOTER was developed to view and interact with collected data. This study discusses the method and process of smart PPE system design and development process in software and hardware aspects.

This research study posits a smart system for PPE that utilises real-time sensor data collection to improve worksite safety and promote worker well-being. The study outlines the development process of a prototype that records crucial real-time data such as worker location, altitude, temperature and hand pressure while handling various construction objects. The collected data are automatically uploaded to a cloud service, allowing supervisors to monitor it through a user-friendly smartphone application. The worker tracking ability with the smart PPE can help to alleviate the identified issues by functioning as an active warning system to the construction safety management team. It is steadily evident that the proposed smart PPE system can be utilised by the respective industry practitioners to ensure the workers' safety and well-being at construction sites through monitoring of the workers with real-time sensor data.

The proposed smart PPE system assists in reducing the safety risks posed by hazardous environments as well as preventing a certain degree of musculoskeletal problems for workers. Ultimately, the current study unveils that the construction industry can utilise cloud computing services in conjunction with smart PPE to take advantage of the recent advances in novel technological avenues and bring construction safety management to a new level. The study significantly contributes to the prevailing knowledge of construction safety management in terms of applying sensor-based technologies in upskilling construction workers' safety in terms of real-time safety monitoring and safety knowledge sharing.

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.

Climate change mitigation and adaptation play an important role in overcoming the climate change challenges facing Sri Lanka today. Many initiatives have been undertaken to implement different policies and plans in this regard, which require considerable mobilisation of national and international financing. In acquiring climate finance, many barriers can be identified. This paper aims to investigate such barriers to climate financing in Sri Lanka and proposes strategies to address them.

The qualitative research approach was undertaken in this study by conducting ten semi-structured interviews with experts who are involved in climate change policy implementation activities in Sri Lanka. The collected data were analysed using the content analysis method via Nvivo software.

The empirical findings unveil six key barriers and the corresponding root causes to climate financing in Sri Lanka. Inadequate domestic funding for climate actions was captured as the dominant barrier in this direction. This study also revealed that barriers and their root causes are interconnected, leading to many financial limitations in implementing climate actions. The importance of playing a leading role by the government and enabling an integrated approach between the private and public sector organisations were identified as key strategies to combat climate finance barriers.

Despite there being studies focusing on climate change and related policies, limited research has been carried out with regard to climate financing. Within this context, this study makes an original contribution in the area of climate financing with particular reference to a developing country like Sri Lanka. Further, the identification of barriers to climate financing, their root causes and strategies to address them also provides an original contribution to theory and practice.