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The rise of artificial intelligence (AI) and differing attitudes towards its adoption in the building and environment (B&E) industry has an impact upon whether companies can meet changing demand and remain relevant and competitive. The emergence of Industry 4.0 technologies, coupled with the repercussions of COVID-19, increases the urgency and opportunities offered that companies must react to, as disruptive technologies impact how project management (PM) professionals work and necessitate acquisition of new skills. This paper attempts to identify the drivers of and barriers to, as well as the general perception and receptiveness of local PM professionals towards, AI adoption in PM and thereby propose potential strategies and recommendations to drive AI adoption in PM.

This study employs both quantitative and qualitative approaches to examine the findings gathered. A survey questionnaire was used as the primary method of gathering quantitative data from 60 local PM professionals. Statistical tests were performed to analyse the data. To substantiate and validate the findings, in-depth interviews with several experienced industry professionals were performed.

It is found that top drivers include support from top management and leadership, organisational readiness and the need for greater work productivity and efficiency. Top barriers were found to be the high cost of AI implementation and maintenance and the lack of top-down support and skilled employees trained in AI. These findings could be attributed to the present state of AI technologies being new and considerably underutilised in the industry. Hence, substantial top-down support with the right availability of resources and readiness, both in terms of cost and skilled employees, is paramount to kick-start AI implementation in PM.

Little research has been done on the use of AI in PM locally. AI's potential to improve the productivity and efficiency of PM processes in the B&E industry cannot be overlooked. An understanding of the drivers of, barriers to and attitudes towards AI adoption can facilitate more intentional and directed oversight of AI's strategic roll-out at both the governmental and corporate levels and thus mitigate potential challenges that may hinder the implementation process in the future.

This paper aims to evaluate the current level of knowledge about lean construction (LC) practices in construction companies, universities and class organizations in Brazil and identify the barriers to implementing LC in the Brazilian construction industry and prioritize them through comparison with global challenges.

This multiple case study was carried out through a questionnaire answered by 56 construction companies, 15 universities and 10 professional associations. The questionnaire evaluation allowed the authors to determine the level of knowledge about the LC, its adoption and barriers to its adoption in the Brazilian industry. The results were statistically analyzed using the weighted average (MIS) of results using the Kruskal–Wallis test, which compares sample distribution among groups, and Cronbach’s alpha test to measure the questionnaire reliability.

This study points to universities as the main ones responsible for the low adoption of LC in Brazil and points to the need for an integrated action among construction companies, universities and class organizations to overcome the traditional project management culture and raise the level of knowledge about LC.

This study evaluated the current LC situation in an emerging country, Brazil, and compared it with the principal international challenges observed in studies of other developing countries – China, India, Morocco, Saudi Arabia and Singapore – least developed countries – Bangladesh and Nigeria – and developed country – UK. These studies evaluated construction companies located in the listed countries. Based on that, 22 international challenges were established for the LC adoption. Additionally, this research also evaluated universities and working-class organizations in addition to construction companies. This addition can contribute to a better result understanding that can be explored by Brazil and other countries.

Increased waste during projects execution has led to time and cost overruns within the Zimbabwean construction projects industry. However, contextual barriers to lean construction implementation are yet to be established for derivation of effective remedies. The purpose of this paper is to report on a study that sought to determine barriers to lean construction implementation and assess the existence of statistically significant differences because of gender, designation and educational levels of respondents.

A questionnaire survey was administered on construction professionals for the collection of quantitative data. Factor analysis was used to reveal interrelated significant sets of barriers to lean construction implementation. Non-parametric statistical methods were also used to determine significant differences because of demographic variables.

Integration- and performance-related, human capital management–related, quality management–related barriers were determined as the highest-ranked of the nine significant components. Significant differences because of gender, designation and educational levels were non-existent for aggregated barriers, generally indicating consensus on the barriers. However, individual barriers showed inadequacies in management requirements for lean construction implementation from architects and those with diplomas and degrees.

The determination of barriers establishes the knowledge for construction policy evaluation for enhanced performance of the construction industry. However, because of the exploratory nature of this study, the insights of clients were not considered.

Context-specific barriers to lean construction implementation were determined for consequent construction policy improvements in the construction industry.

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.

Small- and medium-sized enterprises (SMEs) within the construction sector are highly vulnerable to disruptions caused by political and economic decisions or even pandemics. This study evaluated the current operations of selected SMEs providing engineering design and consultancy services against Toyota Production System (TPS) lean tool. The purpose is to juxtapose SME operations and processes with TPS to ascertain the level of their operations conformity to the established TPS lean thinking tool.

This study used a qualitative data collection and analysis approach to evaluate the current processes of participating SMEs against Liker's 14 management principles of TPS. The data collected were analysed using thematic analysis to identify patterns and themes that emerged from the qualitative data.

The analysis revealed that focus on short-term goals, immediate profit and duplication of effort resulting from insufficient collaboration is currently creating waste in participating SMEs' operations. Hence, the implementation of TPS was recommended as a lean tool and a framework based on TPS lean tool was developed for improving the operations of SMEs.

The study is limited to SMEs operating only as consultants providing project planning design within the construction industry. Data collection is limited to qualitative even though observations would improve the outcome of the study.

The study advances contemporary issues in promoting lean implementation in construction sector and developed an improved framework based on the TPS to enhance the performance of SME construction businesses.

Proper identification of the key motivating factors (or key drivers) is needed to ensure successful adaption and implementation of the lean concept for construction projects. However, there lacks a study investigating the complex interrelationships existing among the key drivers contributing to Sustainable and Successful Lean Construction (SSLC) implementation for such projects. To address this shortcoming, this study aims to uncover the main critical key drivers towards the implementation of SSLC for the very first time by capturing the complexity of this vexing problem.

In this study, a new hybrid framework is developed through the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Social Network Analysis (SNA). The novel developed framework is called the DSNA approach.

Considering the case of Malaysian construction projects, the developed DSNA gives the following major outcomes: (1) Most important critical key drivers are seen to be optimization, continuous improvement, and, improve company culture, and (2) For SSLC adoption, the critical drivers impacting other key drivers are seen to be “improve teamwork”, “reduce leadership conflict”, and “improve company culture”, thereby demanding more attention.

The outcomes of this study give insight for decisions and policymakers in the construction industry regarding critical key drivers and their complex interrelationships towards the further adoption of SSLC, promoting the sustainability paradigm within the respective sector.

This paper not only presents a list of critical drivers and the corresponding association among them towards SSLC adoption, but also proposes DSNA as a novel approach for uncovering the complex interrelationship existing in an intricate problem, improving the intricate process of decision-making.

Architectural, engineering and construction (AEC) project organizations are under constant pressure to improve the mental health of project management practitioners (PMPs) due to complexity and dynamism involved in project management practices. Drawing on institutional theory, this research explores how external environmental factors, political factors, economic factors, social factors, technological factors, environmental factors and legal factors (PESTEL), influence mental health management indicators that contribute to positive mental health.

Purposive sampling method was used to collect survey data from 82 PMPs in 60 AEC firms in Australia. Structural equation modelling was used to test the hypotheses based on 82 items of data collected from PMPs.

Overall, this study revealed interesting findings on the impact of external environmental factors on mental health. The hypothesized positive association between political factors and mental health management indicators was rejected. The data supported the proposed hypothetical correlation between economic factors and mental health management indicators and the influence of social factors on mental health management indicators. Moreover, a hypothetical relationship between technological factors and mental health management indicators was supported. The significant positive impact of environmental factors on mental health management indicators proposed was supported, and legal factors’ positive correlation on mental health management indicators was also supported.

Despite the limitations, the present findings suggest that all the external environment factors except political factors shape mental health management outcomes.

This paper aims to assist managers and food supply chain practitioners in efficiently implementing lean and green (LG) practices for sustainability. Examining barriers to LG practices, as well as prioritizing mitigation strategies in the food supply chain, are all part of this work.

Using a combination of literature review and expert team inputs, this paper investigated the LG barriers and their solutions under PESTEL (Political, Economic, Social, Technological, Environmental and Legal) framework. To prioritize them, this work used the fuzzy best worst method (fuzzy BWM) with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS).

From the fuzzy BWM, the economic barriers were identified as the most significant. From the FTOPSIS approach, top management expertise and commitment to adopting LG practices were identified as the best solution for overcoming the barriers.

This paper discusses the barriers and solutions for successfully implementing LG techniques from the real-time food supply chain. The practitioners and food chain managers welcomed the methodology for its use in prioritizing the barriers to LG practices. Conclusions drawn from this work were found to be realistic.

The original contribution of this study is to present the model framework for barriers and solutions of LG practices in the dairy supply chain using the hybrid MCDM technique.

This study evaluates the implementation of ISO 9001 using total quality management on the engineering, procurement and construction phases in the Jordanian construction sector.

A quantitative design has been employed with a total of 132 project team members selected from 5 construction organizations working in Jordan. A close-ended questionnaire was used to gather data which was later evaluated using descriptive and inferential statistics.

The results show a significant role in project performance, customer satisfaction, project quality, cost-effectiveness, time effectiveness, shared cooperation and motivation of employees. It emphasizes the role of engineering in achieving the ISO 9001 standard. Quality standards in the construction project were also endorsed by 46.2% of participants, while 33.3% responded neutrally. The time effectiveness aspects of ISO 9001 endorsed by 38.5% participants 33.3% participants disagreed. Majority of the managers (61.5%) agreed that poor planning is a major barrier in the engineering phase (p-value, 0.011), followed by the incomplete design (56.4%) as the prime impeding factors linked to the decline of the quality in the construction sector.

With the integration of the ISO 9001 quality standard, project managers can improve the project quality and make it cost-effective. The successful adaptation of the ISO 9001 certification allows the company to not only market its product/service but also internally audit itself for the possible deficits in its work capacity.

This paper aims to investigate the governance of labour standards in the less-studied yet rapidly globalising Ghanaian construction sector. While incorporation into international production networks generates several opportunities for workers, the drivers of adverse incorporation originate at multiple levels of analysis. The study offers an investigation into such drivers and their interconnections.

The authors utilise a multi-scalar framework and mixed methods of analysis. Both the qualitative and multi-level quantitative analyses rely on a primary dataset collected among 30 firms and 304 respondents, through semi-structured interviews.

A composite yet unbalanced labour standards governance configuration emerges, where the absence of social governance combined with a weak role of the State leaves labour standards subject to the variegated landscape of firms' embeddedness in the sector.

The construction industry is acquiring ever-increasing relevance in the economic trajectory of Ghana as well as that of several other African economies, not least for its large employment generation potential. Research on the governance of labour standards in the sector is, however, largely missing. The authors argue that labour incorporation dynamics represent a complex under-investigated regulatory challenge as well as a policy-making priority. The analysis is one of the first to offer a reconstruction of the governance landscape determining the challenges workers face in the Ghanaian construction sector, from both a qualitative and quantitative perspective.