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The first step toward developing an automated construction workers performance monitoring system is to initially establish a complete and competent activity recognition solution, which is still lacking. This study aims to propose a novel approach of using labor physiological data collected through wearable sensors as means of remote and automatic activity recognition.

A pilot study is conducted against three pre-fabrication stone construction workers throughout three full working shifts to test the ability of automatically recognizing the type of activities they perform in-site through their lively measured physiological signals (i.e. blood volume pulse, respiration rate, heart rate, galvanic skin response and skin temperature). The physiological data are broadcasted from wearable sensors to a tablet application developed for this particular purpose, and are therefore used to train and assess the performance of various machine-learning classifiers.

A promising result of up to 88% accuracy level for activity recognition was achieved by using an artificial neural network classifier. Nonetheless, special care needs to be taken for some activities that evoke similar physiological patterns. It is expected that blending this method with other currently developed camera-based or kinetic-based methods would yield higher activity recognition accuracy levels.

The proposed method complements previously proposed labor tracking methods that focused on monitoring labor trajectories and postures, by using additional rich source of information from labors physiology, for real-time and remote activity recognition. Ultimately, this paves for an automated and comprehensive solution with which construction managers could monitor, control and collect rich real-time data about workers performance remotely.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

While existing research has explored the association between supervisor support and turnover intention among construction workers, there is a notable gap in the literature concerning the potential mediating role of work engagement in elucidating this relationship, warranting further investigation. The paper, hence, aims to examine the mediating role of work engagement in the relationship between supervisor support and turnover intention among construction workers.

Based on the quantitative research method, the hypothesis was tested. The data were collected from 144 construction professionals using a structured questionnaire. Observed variables were tested using confirmatory factor analysis, and the mediating role relationship was validated using hierarchical regression.

The outcome of this study shows a significant positive impact of work engagement and supervisor support on employee turnover intention. The study further showed that work engagement plays a mediating role in the connection between supervisory support and the intention to turnover and improve project and business performance. Turnover intention, on the other hand, negatively affects project and organizational performance.

By enhancing employee work engagement and perceptions of supervisor support, the findings of this study may aid construction organizations in making better judgments regarding the likelihood of employee turnover. The effectiveness of the project and the organization will likely be greatly impacted.

The results of this study provide supporting evidence and advance efforts at reducing employee turnover intention through work engagement and supervisor support in improving project and organizational performance.

This paper explores the perceptions and experiences of women and men who work as informal waste collectors in four different cities. The purpose of this paper is to map out how and to what extent occupational, political-legal, economic and social dynamics are experienced differently by gender in a highly vulnerable segment of the urban informal economy, and explore gender differences in these workers’ coping strategies and the levels of action they develop to protect their livelihoods.

The analysis is based on a mixed methods study which combined a quantitative survey of informal workers with a qualitative participatory methodology. Study participants were drawn from a purposive sample of informal workers who belong to, or are affiliated with, membership-based workers’ organisations. The sample consists of waste pickers (n=614) from Belo Horizonte, Brazil; Bogotá, Colombia; Durban, South Africa; and Nakuru, Kenya.

The data show that despite significant differences between women and men upon entry into (informal) employment, their perceptions of key drivers and impacts are largely similar, with the exception of concerns around various types of physical security among women. They also indicate that levels of action among men and women waste pickers are only moderately influenced by gender, but are strongly influenced by the degree of organisation in the sector and the symbolic assets held by workers. The findings also illustrate the way in which gendered power dynamics operate within the informal recycling sector and how different levels of sector organisation and development often contribute to opportunities for collective action and, in turn, a reduction in gendered vulnerabilities.

The study offers a new policy angle which connects the level of sector organisation and development with the levels of action taken by informal workers in adapting to different types of shocks, as well as what this means in terms of gender empowerment.

This chapter explores sex work and compares legal regimes in two case study contexts of Scotland and New Zealand. It highlights parallels in policy norms and approaches towards women in sex work and women who use drugs, including stigmatisation and punishment of ‘deviant’ women or alternatively, approaches that seek to ‘rescue’ women and which frames them as victims. Different policy approaches and regulatory regimes are discussed but the chapter argues that without attention to social justice issues, the structural drivers of women’s engagement in sex work will continue to be overlooked. Participation in policy processes by those with lived experience is emphasised, both to ensure better understanding of sex work by policymakers, and also in recognition of the citizenship, voice and agency of sex workers.

Around 400,000 working days per year are lost in the construction industry due to stress, depression or anxiety, but a large proportion of the industry – those primarily not based “on-site” – is not included in these statistics. Little research has been conducted in this group about their experiences of occupational stress. The authors explored how stress was experienced and managed by construction professionals and its perceived impact on health.

The authors interviewed 32 construction professionals in a British construction company, with varying levels of seniority and years in the industry. Interviews were transcribed, coded and analysed thematically.

Stress was viewed an inevitable and increasing part of the construction industry, exacerbated by recent economic challenges. Participants talked about a culture of stress and overwork but often felt unable to challenge it due to job insecurity. Senior management acknowledged stress was a problem within the industry and something that potentially threatened company productivity. Company-wide initiatives had been implemented to address stress levels (e.g. Mental Health First Aiders), but were criticised for ignoring underlying issues. Informal means of managing stress were identified, such as careful consideration of team dynamics, which allowed employees to form close bonds and using “banter” and camaraderie to relieve stress. However, the persistence of a macho male image meant some participants were reluctant to talk about their feelings at work. Participants described individual coping strategies, such as exercise, but these were hard to prioritise in challenging times.

There is growing recognition that health and well-being must be given greater priority in the construction industry. Industry pressures and competitive practices undermine efforts to improve staff well-being. Action must be taken at senior levels to address this conflict, while building on existing informal mechanisms of support and stress relief.

This research aims to examine the role of knowledge sharing (KS) as mediation in the relationship between transactional leadership (TSL) and organizational creativity (OC) among construction workers in Jakarta.

The population in this research was the construction workers working in Jakarta. The sample used in this research consisted of 210 respondents. The validity of the hypothesis model was analyzed using the structural equation modeling–partial least squares (SEM-PLS) approach with the help of SmartPLS 3.2.8.

TSL affects KS and OC. Another most important thing is that KS acts as a partial mediator for the relationship of TSL to OC.

Originality in this research is the use of variable KS to mediate the relationship between TSL and OC in the research conducted in the scope of construction in Jakarta. Other theoretical implications for TSL are added by this research. This research has never been conducted in the construction sector in Jakarta, Indonesia.

Labour efficiency is the key component for the long-term sustainability of construction firms. Recent studies show that modernising organisational/managerial processes is necessary to raise labour efficiency in many emerging nations. Construction supervision is a crucial element in organisational/managerial practices, which provide blood circulation to the project operations by directing labour. Accordingly, this study aims to quantify the impacts of crucial organisational/managerial elements on the efficiency of labour in building construction projects based on the viewpoint of construction supervisors.

A total of 28 factors were determined as critical, where lack of labour motivation, poor labour training facilities, poor performance evaluation practices, no labour rewarding mechanism and poor communication/cooperation between parties were judged to be the top five key issues in the list. The validity and reliability of the study findings were ensured through statistical tests and the experts' discussion outcomes. In view of the evolving challenges facing the industry, the results indicate that the organisational policies of construction enterprises in place addressing financial procedures, communication strategies, resource management and performance management practices must be enhanced.

The study findings will make a substantial contribution to reducing the disparity between organisation/management policies and labour practices towards changing how the sector operates to increase labour efficiency in construction projects.

This study contributes to addressing the knowledge gap in the industry associated with the organisational protocols, especially to understand/predict how such elements are significant, how much they influence the efficiency of construction practices and what steps can be made to limit their effects on labour efficiency in construction. These could be crucial in modernising organisational policies and procedures for construction management.

Robotics and automation are successful in construction, health and safety, but costs and expertise hinder their use in developing nations. This study examined mobile apps as a more accessible and affordable alternative.

This descriptive study explored the use of mobile apps in construction, health and safety management. It used a literature review to identify their availability, accessibility, and capabilities. The study consisted of four five stages: searching for relevant apps, selecting them based on versatility, examining their specific functions, removing untested apps and discussing their functions based on empirical studies.

A comprehensive literature review identified 35 mobile apps that are relevant to health and safety management during construction. After rigorous analysis, eight apps were selected for further study based on their relevance, user friendliness and compliance with safety standards. These apps collectively serve 28 distinct functions, including first-aid training and administration, safety compliance and danger awareness, safety education and training, hazard detection and warnings.

This study suggests that mobile apps can provide a cost-effective and readily accessible alternative to robotics and automation in health and safety management in construction. Further research is needed to accurately assess the efficacy of these apps in real-world conditions.

This study explored the use of apps in health and safety management, highlighting their diverse capabilities and providing a framework for project managers, contractors and safety officers to select suitable apps.

Past studies highlight a wide range of labour-related problems resulting in productivity loss in the construction industry of many developing countries. This study aims to quantify the impacts of labour-related factors on the productivity of construction operations in Sri Lankan building projects based on the viewpoint of engineers and construction managers for upgrading management/organisational policies and practices.

Qualitative and quantitative approaches were used to identify the critical factors. Further, a series of industry consultative discussions were conducted through problem-based communication approaches to analyse the actions required.

A total of 21 factors were determined as critical, where skills shortage, labourers’ thinking abilities, work experience, knowledge in construction works and discipline were leading in the list. The statistical tests and the experts’ discussion outcomes ensured the validity and reliability of the study findings.

The study outcomes will contribute to finding out better ways for directing labour in the industry practices and revising organisational policies towards achieving higher productivity levels in construction operations. Though the study findings are limited to the Sri Lankan context, some findings may be tested in other developing countries in similar scenarios.

The study findings show why the identified factors are critical, how those influence construction practices and what actions need to be considered for addressing the industry’s productivity-related challenges. These can play a key role in upgrading the construction management practices and organisational policies to the near-future stages.