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The aim of this paper is to identify the business barriers that influence cost of implementing unmanned aerial system (UAS) and its suitability for a decentralised system. UAS, or drone, plays a role of data provider to architectural, engineering and construction professionals within a decentralised system. However, the expectations in the execution and test of the effectiveness of the UAS is often not met. The reasons for these fails are not well elaborated in the literature. Hence, the study investigates the barriers and cost analysis of UAS that can be used for a decentralised case, in which the UAS data are useful for multiple stakeholders, and provide illustration of the interactions within this approach.

This paper is part of a longitudinal project by using a qualitative method of interviewing 24 participants involved in the process of application of drones in the country of the Dominican Republic. The open-ended semi-structured interviews were composed for questions regarding the application of UAS, barriers and business implications. The data gathered were transcribed and used thematic analysis for its interpretation. Later, conclusions of the barriers of UAS implementation in the organisation were analysed and a cost model was developed to identify a viable scenario.

The paper provides empirical insights about the barriers and economic considerations faced in the implementation process of UAS. In this research, 16 barriers in the implementation process at the management level, 8 types of cases of business relationships and 13 business models were identified. Furthermore, recommendations were made about being the accountability of the dimensions and recurrent visits to the projects handled by the portfolio of the organisations.

Blockchain system is supported by UAS data and its tests require skills and resources that were outside of the scope of the main research intend regarding UAS implementation in construction. Furthermore, as these technologies are still under development, the assessment of the decentralised system, smart contract and swarm technology was addressed conceptually and further research are encouraged in this field.

The paper includes barriers to consider before implementation, business implications, project examples and cost structure developed. Furthermore, the findings are fit theoretically into the context of a decentralised system. It was understood and contemplated that monitoring in open and outdoor spaces is the suitable approach for UAS implementations for decentralised system. The trend of decentralised autonomous organisations for transparency and efficiency of human tasks provides the foundations of human–robot interactions as well as the role of tokenisation of assets into the cyberspace. Therefore, the paper brings managers and technicians the implications for the future-proofing the implementation of UAS.

This paper provides an overview of the implications of cost and the suitable scenarios for return of investment in the UAS implementation in the current stage of the technology development. In addition, the paper makes reference to decentralised systems, smart contracts and swarm technology as options in which reality capture technologies are essential for construction projects.

This paper aims to study the reaction of construction project managers in coping with workforce productivity challenges that arise from the COVID-19 pandemic.

Quantitative research via questionnaires targeting the project managers from G7 contractor companies in Malaysia was carried out in the data collection process. In total, 182 responses have been analysed descriptively and inferentially using SPSS software.

The research discovers that most of the construction projects and their workforce productivity were adversely impacted by the COVID-19 pandemic. Besides, the strategies adopted by project managers in Malaysia and the ranking of strategies based on their effectiveness were indicated.

The findings of this research have contributed to a new understanding of the construction workforce productivity during the COVID-19 era from the perspective of project managers in Malaysia. A guideline established from the ranking of strategies would be useful to ensure the survival of the industry in Malaysia aftermath of the COVID-19 pandemic.

The purpose of this paper is to quantify the evolutionary mechanism of coronavirus disease 2019 (COVID-19) impact on international construction multi-projects.

From three concepts of complexity, stressor and detractor risks, a multi-project simulation model under COVID-19 outbreak is proposed to study the characteristics of contingency with three peaks of ordered and disordered states. Specially, COVID-19 brings forth mitigation fee, epidemic prevention fee, holdup fee and schedule delay fee of multi-projects. By integrating parametric model, Monte Carlo and chaos theory, a comparative analysis of its contingency with or without COVID-19 is conducted. Summarizing the simulated results, their total contingencies at certain risk tolerance are obtained at two status of static at one-time point and dynamic over time. Meanwhile, some major risks including detractors, complexities and stressors are screened out for mitigation, especially for epidemic prevention and control. Eventually, the real case is illustrated to demonstrate its validity.

It provides a quantitative analysis framework for the impact of epidemic, a once-in-a-century black swan event with a long tail, on construction multi-projects.

It conduct an effective model to quantify impacts of COVID-19 on international construction multi-projects for implementing effective counter-measures, which lay foundation for claims among different stakeholders.

The term of detractor risk is applied to describe COVID-19 and quantify its impact upon international construction multi-projects. Further, a hybrid model by integrating parametric model and Monte Carlo in type I/II model is proposed to simulate their contingencies at disordered states. Finally, the simulated outcomes of these models are used to guide effective risk control to meet the requirements by the client.

The impacts of COVID-19 on construction projects have attracted much attention in the construction management research community. Nevertheless, a systematic review of these studies is still lacking. The purpose of this paper is to systematically analyze the impacts of COVID-19 on the different stages of a project life-cycle, and comprehensively sort out the epidemic response measures adopted by project participants. In addition, the study also attempts to explore the challenges and opportunities faced by project management practitioners under the context of COVID-19.

This study comprehensively demonstrates the systematic review process of COVID-19 related research in the construction industry, systematically summarizes the research status of the impact of COVID-19 on construction projects, and defines the strategies to deal with COVID-19 in project management; and through the visualization research, determines the current key research topics and future research trends.

This study identifies 11 construction activities in the project management life cycle that are affected by COVID-19 and finds that the COVID-19 epidemic has the greatest impact on construction workers, construction standards, construction contracts and construction performance. The study further summarizes the six main epidemic countermeasures and mitigation measures taken within the construction industry following the arrival of the epidemic. In addition, the results of this study identify opportunities and future trends in intelligent construction technology, rapid manufacturing engineering and project management in the construction industry in the post-epidemic era through literature results, which also provide ideas for related research.

COVID-19 has brought severe challenges to society. It is of great significance for the future sustainable development of the construction industry to identify the impact of COVID-19 on all phases of the project and to promote the development of coping strategies by project stakeholders.

First of all, there is little study comprehensively reviewing the impacts of COVID-19 on the different stages of construction projects and the strategies to deal with the negative impacts. In addition, from a life cycle perspective, the used articles in this study were grouped into different categories based on project stages. This promotes an integrated and comprehensive understanding of historical studies. Moreover, on the basis of a comprehensive review, this paper puts forward future research directions to promote the sustainable development of the construction sector.

Policymakers are developing government-level pandemic response strategies (GPRS) to assist architecture, engineering and construction (AEC) enterprises. However, the effectiveness of the GPRS has not been assessed. Therefore, this study aims to investigate the interrelationships between GPRS and AEC enterprises. To achieve that aim, the study objectives are to compare GPRS effectiveness between small-medium and large AEC enterprises, develop groupings to categorize interrelated GPRS and evaluate the effectiveness of the GPRS and interrelated constructs.

A systematic literature review and semi-structured interviews with 40 AEC industry professionals were carried out, generating 22 GPRS. Then, questionnaire survey data was collected among AEC professionals. In total, 114 valid survey answers were received and analyzed using the Kruskal–Wallis H test, normalized mean analysis, factor analysis and fuzzy synthetic evaluation.

Small-medium enterprises have four distinct critical GPRS: “form a special task force to provide support in maneuvering COVID-19,” “provide infrastructure investment budgets to local governments,” “develop employee assistance programs that fit all types of working groups” and “diversify existing supply chain.” Large enterprises have two distinct critical GPRS: “provide help in digitalizing existing construction projects” and “mandate COVID-19 as force majeure.” Eighteen GPRS can be categorized into the following five constructs: “market stability and financial aid,” “enterprise capability management,” “supply chain improvement,” “law and policy resources” and “information and workforce management.” The former two constructs are more effective than other GPRS constructs.

This is the first paper that evaluates the effectiveness of GPRS for AEC enterprises, providing new evidence to policymakers for well-informed decision-making in developing pandemic response strategies.

Malaysia has experienced a significant surge in COVID-19. The “new normal” has plunged construction players into one of the most challenging times in their history, including the quantity surveyors (QS). Playing a primary role from pre-construction to post-construction stages, QS is essential to ensure project success. This study aims to clarify the impact of COVID-19 on quantity surveying practices to provide a better understanding of the construction sector's downturn during the pandemic.

Preliminary exploratory interviews were conducted with ten QS, architects, project managers and engineers to identify quantity surveying practices affected by the pandemic, followed by a survey involving 222 respondents to determine the significance of these impacts.

It was found that quantity surveying practices involving site visits, such as variation work valuation and interim payment valuation, were the most affected by the pandemic. On the other hand, consultative services such as value management and advisory services were the least affected.

The study faced data sampling limitations. Further research requires more insights on different groups of QS, such as consultants, contractors and developers, and reasons behind the difference in consensus between QS and non-QS respondents.

The insights from this research may help authorities and construction companies make necessary adjustments to ensure the quantity surveying profession remains resilient, hence a better chance of project success during a pandemic. This discovery can also be considered a significant opportunity to present the need for further development.

The findings are expected to explain how COVID-19 had affected the duties of QS and identify which impact is the most significant. This research will complement the existing publications on the impacts of COVID-19 on the construction industry.

Since introducing the UK start-up loan (SUL) Scheme in 2012, 82,809 new start-ups have been supported with loans totalling £759m. Even during the Covid-19 crisis, new business start-ups supported by SUL did not abate. The authors ask whether the entrepreneurs starting businesses during the Covid-19 crisis were different from those becoming entrepreneurs before the pandemic. This paper aims to discuss the aforementioned question.

The authors model the differences between pre-Covid-19 business start-ups and Covid-19 start-ups. The administrative data obtained from the UK Government Department for Business, Energy and Industrial Strategy (BEIS) represent information about individual loan records for 82,798 individuals and total lending of £759m between 2012 and 2021. The probit regression model with dependent variable coded one if the start occurred after February 2020 and zero between 2012 and February 2020, was estimated.

The study’s findings show that both groups of entrepreneurs differ in many facets. The new Covid-19 entrepreneurs are older, more likely to have a graduate-level education and are significantly more likely to make this transition from full-time waged employment or inactivity. Furthermore, they are more likely to set up in manufacturing industries at the business level than their pre-Covid-19 counterparts who favoured service sectors. Finally, their initial lending to support the start-up is much higher.

This study provides value for the policymakers responsible for the administration of the SUL scheme, and it also contributes to the body of knowledge on the effects of the global Covid-19 pandemic.

This study has two major objectives. First, comprehensively review the literature on transparency in supply chain management. Second, based on a critical analysis of literature, identify the attributes and sub-attributes of supply chain transparency and develop a numerical measure to quantify transparency in supply chains.

A systematic literature review (SLR) was conducted using the PRISMA approach. Utilizing SCOPUS database past eighteen-year papers search resulted in 249 papers to understand major developments in the domain of supply chain transparency. Subsequently, graph theoretic approach is applied to quantify transparency in supply chain and the proposed index is evaluated for case supply chains from pharma and dairy sectors.

It can be concluded from SLR that supply chain transparency research has evolved from merely tracking and tracing of the product towards sustainable development of the whole value chain. The research identifies four major attributes and their sub-attributes that influence transparency in supply chains, which are used to develop transparency index. The proposed index for two sectors helps to understand areas that need immediate attention to improve transparency in the case supply chains.

This paper attempts to understand the development of transparency research in supply chain using the PRISMA approach for SLR. In addition, development of mathematical model to quantify supply chain transparency is a novel attempt that would help benchmark best practices in the industry. Further, transparency index would help to understand specific areas that need attention to improve transparency in supply chains.

The use of digital inspection or e-inspection of transportation projects has been proven as an efficient method over the last decade. A wide range of studies were dedicated to developing and applying e-inspection techniques and technologies. However, there is a lack of a comprehensive systematic review and content analysis of using e-inspection in highway construction and maintenance projects. The main objectives of this study were to explore the current trend and identify relevant inspection technologies and their applications for highway construction projects.

A systematic review of 172 articles from 16 high-ranked academic journals in construction engineering and management published during 2000–2021 was conducted. This process resulted in 67 relevant articles included in the detailed content analysis. The analysis involved synthesizing six main construction elements and work types, nine typical inspection activities, and 23 technologies.

The result of the analysis showed that among the six construction elements and work types, bridge and hot mix asphalt (HMA) recorded the largest share of e-inspection research. For the nine inspection activities, progress monitoring of construction operations was the highest focused area of e-inspection research. The most common e-inspection technologies are geospatial tools, 3D modeling, and unmanned aircraft systems (UASs). Camera-based inspection has existed for decades, however, has limited research development. The critical success factors in implementing e-inspection in highway projects are sharing data among different technologies, inspector training, and reducing the cost of technology purchase.

This study is one of the first attempts to conduct a content analysis of the e-inspection implementation for highway projects. The findings of this study expose knowledge gaps in contemporary research related to implementation barriers such as cost of purchase and operation of e-inspection technologies and transferring data between technologies.

This study aims to examine the determinants of adoption intention toward the rooftop solar photovoltaic (RSPV) systems among residents of peri-urban villages of Gurugram, Haryana, India. This study also analyzes the impact of the adoption of RSPV systems on carbon neutrality from a behavioral perspective.

Data was collected using a self-administrated structured questionnaire from 208 male villagers (195 usable) of 22 villages using the purposive sampling technique.

Results revealed that relative advantage, followed by simplicity, trialability, observability and compatibility, positively and significantly impact villagers’ attitude toward adopting RSPV systems in their homes. Perceived severity and perceived vulnerability significantly influence the perceived behavioral control of villagers toward adopting the RSPV systems. The results show villagers’ attitudes, subjective norms and perceived behavioral control are the essential predictors of their adoption intention of the RSPV systems. Most notably, carbon neutrality was significantly affected by villagers’ adoption intention of RSPV systems as the renewable energy source in their homes.

The findings of this study provide that innovation attributes are important factors in shaping the adoption intentions of customers toward RSPV systems. This study is also the extent of previous studies measuring customers’ perception of adopting renewable energy in developed and emerging countries worldwide.