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The impact of the coronavirus disease 2019 (COVID-19) pandemic on architectural education (AE) was investigated, and a framework was proposed to reduce the impacts' negative consequences.

Systematic literature review, bibliometric and content analyses were combined to gain an in-depth understanding of the effects of the pandemic on AE and projections for its future. Relevant documents were extracted from the Web of Science (WoS) database. Bibliometric connections in the context of AE and COVID-19 pandemic were explored using text-mining and content analysis was performed.

The challenges, development tendencies and collaboration networks in AE during the pandemic were quantitatively and qualitatively analyzed. The most influential articles, journals, authors and countries/regions were highlighted using a bibliometric analysis. The analysis of keyword tendencies and clusters indicates that new concepts have emerged in AE research during the pandemic involving online, in-person and hybrid education. Using content analysis of 57 subtopics, 39 (18) were categorized as having negative (positive) effects. A comprehensive mitigation framework was designed to reduce the impact of the pandemic on AE.

The study findings can enable practitioners to construct effective solutions to COVID-19- and other disaster-related problems regarding AE. The implications, obstacles and mitigation framework presented can help identify gaps in the literature and guide further research.

This paper presents the first bibliometric and content analysis of AE and COVID-19 pandemic-related studies published from January 2020 to June 2022 to highlight several research directions and academic development within the field.

The construction industry is a crucial industry for national development worldwide. Because the construction industry is tied to national and international economic activities, the COVID-19 outbreak has limited construction projects. Therefore, this study investigates the most influential factors regarding COVID-19 and their effects on the construction industry.

The potential impacts of COVID-19 on the construction industry were identified through a realistic literature review and interviews with professionals. A questionnaire was distributed via e-mail to architects, civil engineers and contractors who play vital roles during the construction processes. The data were analysed using SPSS 22 and LISREL 8.7 software to quantify the most influential pandemic-related factors faced by the construction industry.

Ten influential pandemic factors affecting the construction industry in Turkey were identified. Among them, “increased costs and price escalations due to shortage of raw materials and supply chain disruption” and “challenges with payment and cash flows” were determined as the most influential pandemic factors.

This research aims to advance comprehension of pandemic impacts and contributes an incipient assessment framework based on 10 determined pandemic factors. Therefore, contractors, architects and civil engineers may analyse their weaknesses and organise precise priorities so that their firms may remain competitive, thus minimising the adverse impact of COVID-19 and possible forthcoming waves.

Few studies have identified the effect of pandemics on the construction industry qualitatively, forcing management to make projections to the current situation. Moreover, no study has provided insights into the influential factors of pandemics using quantitative methods. Therefore, this study comprehensively and quantitatively determines the relevant COVID-19 pandemic factors using exploratory factor analysis (EFA) and utilises confirmatory factor analysis (CFA) and structural equation modelling to present a structural model of how pandemic factors affect the Turkish construction industry.

Considering the construction industry’s vital role in economic development and social consequences, this study seeks to pinpoint critical barriers hindering Turkey’s sustainable construction (SC). Although several studies highlighted the barriers to SC worldwide, none identified the critical factors. By identifying and understanding these barriers, the research aims to comprehensively understand practices and formulate strategic recommendations to promote sustainable construction.

A systematic approach is adopted to achieve the research objectives. The study involves identifying potential barriers to SC with a systematic literature review. A questionnaire was organized and distributed via e-mail to architects, civil engineers, and contractors. The criticality of identified barriers was determined with normalized mean value analysis, and critical barrier factors (CBFs) to SC were isolated with exploratory factor analysis. Finally, the effect size of these factors was quantified through structural equation modeling.

This study identified 32 critical barriers hindering the SC in the Turkish construction industry among 49 barriers. Furthermore, this study revealed six CBFs to SC that are “inadequate supervision and control of SC,” “fear of transition to sustainable construction and disruptions in adoption,” “lack of educational opportunities,” “return on investment and financial bias,” “awareness and knowledge gap about SC,” and “lack of demand from stakeholders.” Among them, “awareness and knowledge gap about SC,” “fear of transition to SC,” “lack of educational opportunities,” “lack of demand from stakeholders,” and “inadequate supervision and control of SC” were determined as the very highly crucial CBFs hindering SC.

Although some studies have identified the barriers to SC qualitatively and quantitatively, studies have yet to provide insights into the critical barrier factors hindering SC. Therefore, this study comprehensively and quantitatively determines the relevant CBFs to SC using exploratory factor analysis and utilizes confirmatory factor analysis and structural equation modeling to present a structural model of how critical factors affect the SC.

Construction experts acknowledge the adverse effects of rework on project performance. However, the limited understanding of its underlying causes remains a significant challenge. Therefore, this study aimed to thoroughly investigate the sources of construction rework.

A mixed review using bibliometric analysis as a quantitative method and content analysis as a qualitative method was performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of major research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 107 journal articles on rework causes from 1991 to 2023. RStudio Bibliometrix, an R statistical programming package, was used to analyze rework origins. This method involved mapping the research landscape, identifying research gaps and analyzing emerging trends.

The causes of rework can be classified into three main clusters: human- and contractual-based rework causes, design-, quality- and project management-based rework causes and organizational-based rework causes.

Although several studies have addressed rework causes from various perspectives and methods, the topic has not been investigated holistically. This study is the first to leverage the quantitative and qualitative analytical capabilities of the RStudio Bibliometrix package. Innovative approaches, including the use of metrics, such as the h-index, thematic mapping and trend topic analysis, were employed for a comprehensive understanding of rework causes.

Presently, there are two main classification of architectural courses in the curriculum: lecture courses and design studios. Owing to the duality between design studios and lecture courses, architectural education includes a highly stressful learning environment. In addition to this dualism, architecture students also cope with their lives in universities and different types of stressors similar to all university students. Therefore, this study aims to determine the critical stress factors that affect architecture students studying in Turkey.

The reasons for a stressful architecture learning environment were examined using a questionnaire distributed among architecture students, and face-to-face surveys were conducted. The obtained data were analysed statistically using SPSS 22 and LISREL 8.7 software. Correlation analysis, exploratory and confirmatory analysis and structural equation modelling of the relationships between the stressors and stress factors and the impacts (perceived stress) were performed, and a structural model was developed.

A total of 11 critical factors affecting architecture students’ stress levels were determined; academic inadequacy, unusual assessments and evaluation techniques of courses and intensive academic schedule were the most critical stressors. Based on these factors, necessary solutions and recommendations were offered, which are expected to decrease architecture students’ stress levels and encourage other similar studies.

There is limited research that provides insights into the factors that cause stress to architecture students; only literature reviews and surveys are currently available. Unlike these, this study presents a structural equation model for critical stress factors via a confirmatory factor analysis.

Prefabricated construction technology enables relatively faster and easier construction of building structures at a lower project cost, providing improved quality control with minimal material waste. Despite the advantages of prefabricated construction systems, they are not extensively used in Turkey because of specific yet largely undefined challenges. Therefore, the purpose of this study aims to determine the factors currently affecting the extensive use of prefabricated construction systems in Turkey.

The reasons for such systems not being used extensively in Turkey were examined using responses to a questionnaire distributed amongst architects working at design firms, prefabricated-building manufacturers and contractors. The obtained survey data were statistically analysed using the SPSS 22 and LISREL 8.7 software to rank the severity of the identified challenges and determine the most critical factors.

Eight critical factors groups affecting the use of prefabricated construction systems and their associated factors were identified according the responses provided by the participants. Potential solutions and recommendations were proposed based on these factor groups that are expected facilitate the implementation of prefabricated construction systems in Turkey.

Little previous research has provided insight into the specific factors limiting the use of prefabricated construction systems. This study accordingly approaches the subject considering all phases of prefabricated construction systems and presents a structural model of the factors obtained by a confirmatory factor analysis for application to expand the use of prefabricated construction systems.

The construction industry has always been regarded as a stressful and task-driven industry with high levels of work pressure. When the stressful situations are prolonged, job burnout becomes unavoidable for construction professionals. The purpose of the present paper is to investigate the critical predictors of burnout among civil engineers at construction sites in Turkey and identify the impact of those determined burnout predictors on various burnout dimensions.

The possible causes of burnout for civil engineers at construction sites were determined using an extensive literature review and were further studied using a questionnaire. The obtained data were analysed statistically using SPSS 22 and LISREL 8.7 software. Correlation analysis, exploratory and confirmatory analysis, and structural equation modelling were performed on this collected data, and a structural model was developed.

Three critical factors affecting burnout levels of civil engineers in construction sites were determined; among them “organisational injustice” and “competitive pricing and lack of contract management” were identified as the critical predictors of burnout in the emotional-exhaustion and cynicism dimensions. Based on these predictors, potential solutions and recommendations are proposed that are anticipated to decrease the burnout among civil engineers at construction sites.

Although there are several works of research regarding the burnout among construction professionals, there is limited research that has provided insight into the specific factors causing burnout among civil engineers. This research presents a structural model of the predictors obtained by a confirmatory factor analysis for decreasing the burnout level of civil engineers at construction sites. The current study represents the first comprehensive quantitative determination of the factors and predictors of burnout among civil engineers at construction sites in Turkey.

Despite several advantages of Building Information Modelling (BIM) technology, BIM has not been adopted and implemented extensively in developing countries. Consequently BIM remains at a beginner level in developing countries. To increase the level of BIM implementation, first, knowing the root factors that resist BIM implementation is necessary to know. Therefore, the objective of this study was to identify the factors that limit BIM implementation in developing countries, specifically in the Turkish Architecture, Engineering and Construction (AEC) industry.

A questionnaire was designed with 46 influencing causes (ICs) identified through a systematic literature review. In total, 141 survey results were returned from architects and engineers, and reliability analysis, exploratory factor analysis, and confirmatory factor analysis were conducted. Furthermore, a structural equation model (SEM) was developed to identify the root factors of BIM implementation.

Eight root factors affecting the prevalent use of BIM technology in the Turkish construction industry were determined and grouped into three categories based on BIM implementation level. Problems with the BIM transition process and a lack of management support are the most influential root factors limiting BIM implementation. Lack of incentives, lack of BIM education, bias regarding BIM technology and BIM-based software problems form the second group of root factors that have a significant effect. Awareness and lack of communication amongst stakeholders were identified as root factors that had a moderate effect.

This study contributes to the knowledge body by revealing eight root factors limiting BIM implementation in the Turkish AEC industry which can be generalised to most developing countries. Therefore, the outcomes of this study may be used as a practical reference for future research aimed at improving BIM adoption in developing countries through governmental, educational, and managerial solutions.

Several studies have identified the challenges and barriers of BIM implementation in the construction industry using qualitative and quantitative analyses and projected the current state. Unlike previous studies, this study comprehensively and quantitatively determined the root factors that constrain the use of BIM in Turkey using exploratory factor analysis, confirmatory factor analysis, and structural equation modelling to present a structural model.