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The purpose of this article is to analyze the existing studies on the application of artificial intelligence (AI) in lean construction management (LCM). Further, this study offers a classification scheme that specifies different categories of AI tools, as applied to the field of LCM to support various principles of LCM.

This research adopts the systematic literature review (SLR) process, which consists of five consecutive steps: planning, searching, screening, extraction and synthesis and reporting. As a supplement to SLR, a bibliometric analysis is performed to examine the quantity and citation impact of the reviewed papers.

In this paper, seven key areas related to the principles of LCM for which AI tools have been used are identified. The findings of this research clarify how AI can assist in bolstering the practice of LCM. Further, this article presents directions for the future evolution of AI tools in LCM based on the current emerging trends.

This paper advances the LCM systems by offering a lens through which construction managers can better understand key concepts in the linkage of AI to LCM.

This research offers a new classification scheme that allows researchers to properly recall, identify and group various applications of AI categories in the construction industry based on various principles of LCM. In addition, this study provides a source of references for researchers in the LCM discipline, which advances knowledge and facilitates theory development in the field.

The COVID-19 pandemic has affected around 216 countries and territories worldwide and more than 2000 cities in India, alone. The smart cities mission (SCM) in India started in 2015 and 100 smart cities were selected to be initiated with a total project cost of INR 2031.72 billion. Smart city strategies play an important role in implementing the measures adopted by the government such as the issuance of social distancing regulations and other COVID-19 mitigation strategies. However, there is no research reported on the role of smart cities strategies in managing the COVID-19 outbreak in developing countries.

This paper aims to address the research gap in smart cities, technology and healthcare management through a review of the literature and primary data collected using semi-structured interviews.

Each city is unique and has different challenges, the study revealed six key findings on how smart cities in India managed the COVID-19 outbreak. They used: Integrated Command and Control Centres, Artificial Intelligence and Innovative Application-based Solutions, Smart Waste Management Solutions, Smart Healthcare Management, Smart Data Management and Smart Surveillance.

This paper contributes to informing policymakers of key lessons learnt from the management of COVID-19 in developing countries like India from a smart cities’ perspective. This paper draws on the six Cs for the implications directed to leaders and decision-makers to rethink and act on COVID-19. The six Cs are: Crisis management leadership, Credible communication, Collaboration, Creative governance, Capturing knowledge and Capacity building.

Construction organizations' investment in effective talent-development programs is a key strategy in attracting, developing and retaining staff. Such programs are especially important given the current challenges in the construction workforce, including labor shortages, an aging workforce, generational differences in the workforce, supply chain disruptions and the need to effectively train staff in the skills that are essential in a constrained labor environment. To address these challenges, this study proposes a performance measurement strategy that construction companies can use as input to design their talent development programs.

The strategy intends to assess the performance of project managers and develop criteria that define categories of their performance, including the top performers' category. This enables construction organizations to provide each project manager with individualized training that addresses areas of weakness and in turn, develops the skills that correspond with being top performers. The proposed strategy was developed and tested by surveying the immediate supervisors of 187 project managers working for general and specialty contractors in the United States. Principal component analysis was used to develop a single performance construct from seven performance criteria.

This construct was used to organize the project managers into the categories of top, above-average and below-average performers. According to the findings, top-performing project managers have well-rounded skills in the areas of leadership, communication, technical proficiency and overall job knowledge.

The outcomes of this study can help construction organizations focus their talent-development programs on the skills most associated with PMs being top performers.

This study provides construction organizations with a comprehensive performance-measuring construct to focus their talent-development programs on the skills most associated with top-performing project managers. Researchers can use this study as a foundation for further understanding how performance is related to various construction professions.

This paper aims to contribute to existing academic work and business practice by presenting original empirical findings and by providing insights into priority setting on Sustainable Development Goals (SDGs) in organizations. From an academic viewpoint, it not only adds to previous work on the topic of SDG materiality (e.g. Van Tulder and Lucht, 2019) but also aims to contribute new insights into the steps that are crucial and influence the adoption of the SDGs in materiality assessments. It may also add to the literature by providing new knowledge on the strategic considerations that organizations may make and institutional dynamics that encourage organizations to implement the SDG materiality method.

By executing a national survey research in Belgium through a collaboration between academics of Antwerp Management School, Louvain School of Management (UCLouvain) and the University of Antwerp, and supported by Belgium’s Federal Institute of Sustainable Development, the authors have obtained several insights into the SDG landscape in Belgium for various types of organizations, including companies, governmental and nongovernmental organizations and educational institutions. This research builds further on a first national survey (SDG Barometer Belgium, 2018) on the adoption and implementation of the SDGs. However, an important aim of this research is to shift the emphasis to more prominent new elements, such as whether or not organizations use the SDGs in materiality assessments. While the main part of the data for this research were collected through an online questionnaire, document analyses were conducted based on the sustainability reports of BEL 20 companies, the benchmark stock market index of Euronext Brussels consisting of 20 companies traded at the Brussels Stock Exchange, and seven interviews were held to obtain additional insights.

A total of 386 organizations across sectors responded to the question “Does your organization perform a materiality analysis”, of which 210 organizations completed the question “Does your organization align the materiality analysis with the SDGs,”after an “exit route” based on a positive answer to the first question. When diving into the survey results, the authors see that no more than 12% of the 210 organizations performing a materiality analysis align their materiality analysis with the SDGs, while 14% indicate that they do not account for the SDGs at all in their materiality analyses. The results show that 41% of the organizations take into account the SDGs to a certain degree when performing their materiality analysis. Speculating on an explanation for these results, it may be the case that organizations do not yet think about coupling the SDGs to their materiality assessment, experience difficulties in practice or generally lack the knowledge for relating the SDGs to the sustainability topics that are relevant to them. This seems in line with other research (e.g. Van Tulder and Lucht, 2019), as the results of this study indicate that it seems to be difficult for organizations to relate the SDGs to the existing sustainability priorities or materiality analyses of companies.

The real contribution of this paper essentially lies in the description of the Janssen Pharmaceuticals case. The company recognized that today’s internally focused approach to goal setting is not enough to address global challenges. Hence, looking at what is needed externally from a global perspective, taking into account sustainability thresholds and setting ambitions accordingly, is needed to bridge the gap between current performance and required performance. From the Janssen Pharmaceuticals case, the authors learned that external stakeholders are an extremely useful source of information to address the required performance by using the SDG framework. For sure, SDG materiality analyses are still in an early phase of development and knowledge on how to conduct such an analysis may be lacking. Future efforts – or the lack thereof – may indicate whether or not companies consider such analyses as sufficiently relevant. Although the uptake of the SDGs is in progress, it remains to be seen which, if any, materiality method will eventually turn out as a new dominant way of defining material issues. The findings presented in this study hopefully serve as a basis for further investigation of the topic.

The Fourth Industrial Revolution (4IR) holds the potential to significantly improve capabilities and performances for architectural, engineering, construction and operation and maintenance (AECO) companies in India. The top management of such companies seems unsure and reluctant to implementation of the 4IR applications. The objective of this research is to identify the 4IR technology applications, which would have a significant impact on the operation of the AECO companies in India. Moreover, the paper further attempts to give a conceptual roadmap for the implementation of these 4IR technologies in the AECO value chain.

The nascent level of research in 4IR in construction necessitated the adoption of mixed methodologies in research. Hypothesis testing has been carried out on the quantitative data to ascertain the potential of 4IR technologies, which could significantly impact the AECO companies. Subsequently, qualitative research has been used to explore the reasons impacting the technology adoption and generate a possible road map for the implementation of the significant 4IR technology applications.

The AECO value chain is challenged due to its complexity, uncertainty, fragmented supply chains, myopic thinking and a culture reluctant to change. The study provides insights into the dilemmas of practitioners in the Indian context while exploring possible approaches to carry out the transformation in AECO.

The study validation relied on the opinions, perspectives and recollections of respondents. The opinion of practicing professionals was limited to the Indian context.

The article may help leaders of AECO firms, industry associations, policymakers and academia to take steps in relevant directions to enable digital transformation.

This paper aims to explore how open innovation communities contribute to the adoption of building information modelling (BIM) in the construction industry.

The paper presents a cross-case analysis of two construction communities, buildingSMART Norway and the BIM Vietnam Community. Data were collected based on 21 semi-structured interviews conducted with industry experts actively engaged in these two communities. The theoretical basis for the study was open innovation and the institutional intervention model, which delineates institutional actions related to the adoption of new information technology.

The findings show both similarities and differences in the way in which the communities contribute to industrial practice. Both communities use similar knowledge channels and repositories but apply different approaches to innovation creation and diffusion. In addition, trust can support BIM innovation in the community context.

The comparison of buildingSMART Norway and the BIM Vietnam Community in accelerating BIM innovation allows for exploring how open innovation communities support BIM adoption in the construction industry. The findings provide insights for construction communities into creating and diffusing BIM innovation. In addition, the examples of gaining benefits from community innovation activities are useful for construction firms and practitioners.

This study examines the relationship between economic policy uncertainty (EPU) and managers' ex ante strategic choice on firms’ fixed and variable costs structure, i.e. cost rigidity and the moderating effect of government contracts and political connections.

Using a sample of 4,162 US firms during 2003–2019 and EPU measure from Baker et al. (2016), the authors examine the association between EPU and cost rigidity using multivariate regression analysis. The authors also examine the moderating effects of government customers and political connections using the subsampling method.

This study finds that increases in EPU leads to higher cost rigidity, suggesting that managers tend to look ahead and make an ex ante commitment to invest more in fixed costs to avoid congestion costs in anticipation of future product demand during EPU. The study also finds that the presence of government customers and political connections moderates the need for adopting greater cost rigidity.

This study measures firms' cost rigidity based on archival data. Future studies could utilize managers' cost structure choices using firms' internal management cost structure forecasts data to measure cost rigidity to examine the relationship between cost rigidity and EPU.

This study demonstrates that managers tend to make a proactive commitment to invest in fixed inputs when facing demand uncertainty from EPU to avoid congestion costs. This study also highlights the value of having government contracts and political connections by demonstrating that managers are less concerned about the congestion costs, hence weakening the impact of EPU on cost rigidity when they have government as major customers and/or political connections.

This study extends the management accounting literature by documenting that cost rigidity is related to EPU and that the relationship between cost rigidity and EPU also depends on whether the firm has government as major customers and/or political connections or not.

Infrastructure projects are complex, task-based endeavours; the reliability of project schedules is often low, as delays occur. As a result, the infrastructure sector is constantly searching for innovative practices that might improve project performance. This study aims to pursue one research question: what are the benefits and challenges to last planner system (LPS) implementation in Australia’s infrastructure industry? It addresses this question through an examination of two rail infrastructure projects in Victoria, Australia.

The state of Victoria in Australia provides an excellent context for this study. The study was set in one of the programme alliances which was contracted to carry out five level-crossing removal projects. This study uses a combination of qualitative and quantitative research techniques, including surveys, interviews and site visits. The authors collected 43 valid survey responses. Additionally, 19 participants from the alliance programme’s two projects (Projects A and B) took part in the interviews. Extensive empirical evidence has been triangulated to achieve the research goals.

The findings show through the questionnaire survey that the greatest benefits that digital LPS brings are primarily associated with process improvement and social benefits. The interview results acknowledged that the roll-out of digital LPS had a positive impact on schedules, cost, occupational health and safety (OHS) and quality performance. The research also noted a few challenges in the introduction of digital LPS. Overall, the finding presents strong evidence that the introduction of digital LPS has been a clear success in the case company.

This is the first piece of research to fill this major gap in the LPS literature by exploring the issue of digital LPS adoption in Australia’s infrastructure sector. This study has thus laid the foundation for future work on LPS research in the Australian context. The authors are optimistic that this exploratory work will generate interest across other alliances, and perhaps extend into Australia’s construction sector.

This study’s fundamental objective is to assess climate change impact on reference evapotranspiration (ET_o) patterns in Egypt under the latest shared socioeconomic pathways (SSPs) of climate change scenarios. Additionally, the study considered the change in the future solar radiation and actual vapor pressure and predicted them from historical data, as these factors significantly impact changes in the ET_o.

The study utilizes data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) models to analyze reference ET_o. Six models are used, and an ArcGIS tool is created to calculate the monthly average ET_o for historical and future periods. The tool considers changes in actual vapor pressure and solar radiation, which are the primary factors influencing ET_o.

The research reveals that monthly reference ET_o in Egypt follows a distinct pattern, with the highest values concentrated in the southern region during summer and the lowest values in the northern part during winter. This disparity is primarily driven by mean air temperature, which is significantly higher in the southern areas. Looking ahead to the near future (2020–2040), the data shows that Aswan, in the south, continues to have the highest annual ET_o, while Kafr ash Shaykh, in the north, maintains the lowest. This pattern remains consistent in the subsequent period (2040–2060). Additionally, the study identifies variations in ET_o , with the most significant variability occurring in Shamal Sina under the SSP585 scenario and the least variability in Aswan under the SSP370 scenario for the 2020–2040 time frame.

This study’s originality lies in its focused analysis of climate change effects on ET_o, incorporating crucial factors like actual vapor pressure and solar radiation. Its significance becomes evident as it projects ET_o patterns into the near and distant future, providing indispensable insights for long-term planning and tailored adaptation strategies. As a result, this research serves as a valuable resource for policymakers and researchers in need of in-depth, region-specific climate change impact assessments.

This study explores the integration of smallholder farmers into the export market in Vietnam, an emerging economy. By introducing a prospective framework, we seek to provide insight into factors that influence this integration process.

This study examines the expected growth and entry of Vietnamese smallholder farmers into high-value export markets. We collected information from 200 independent farmers as well as from five local extension workers, who provided information on 50 farmers.

The study reveals that the adoption of new business models is more influential than the variables traditionally included in models of export-market integration in predicting expected growth and entry into high-value export markets. In addition, the results highlight divergent views between farmers and extension workers regarding the role of collectors, with farmers perceiving collectors as potential partners, while extension workers see them as impediments to growth.

The prospective model presented in this study highlights the importance of policy interventions aimed at promoting new business models and addressing infrastructure and capital constraints for the sustainable transformation of agricultural sectors in emerging markets.

This is one of the first articles to apply a prospective approach to export-market integration and demonstrate its efficacy through an empirical study. The suggested prospective approach could facilitate the design of policies aimed at export-market integration within the context of dynamic, emerging markets.