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Risk identification is an integral part of overall risk management framework of projects. The risks associated with projects and their response planning differs according to the country and the sector specific environment in which they are being implemented. In this paper, the study is carried out to identify the critical risk factors causing delay in Kuwait’s building and infrastructure projects. The preparation of a preliminary list of risks and risk factors is outlined, questionnaire development and survey details are explained, and analysis of survey responses for the identification of delay risk factors in Kuwait is presented. A case study analysis with respect to time‐overrun/delay of about 28 building and infrastructure projects executed in Kuwait is also presented to validate the survey results. Survey and case study results show that the frequency of time‐overrun in KuwaitRisk identification is an integral part of overall risk management framework of projects. The risks associated with projects and their response planning differs according to the country and the sector specific environment in which they are being implemented. In this paper, the study is carried out to identify the critical risk factors causing delay in Kuwait’s building and infrastructure projects. The preparation of a preliminary list of risks and risk factors is outlined, questionnaire development and survey details are explained, and analysis of survey responses for the identification of delay risk factors in Kuwait is presented. A case study analysis with respect to time‐overrun/delay of about 28 building and infrastructure projects executed in Kuwait is also presented to validate the survey results. Survey and case study results show that the frequency of time‐overrun in Kuwait’s construction projects is very high. The five most critical time‐overrun factors identified in Kuwait’s infrastructure and building projects are: delay in government approvals/permits, delay in preparation and approval in variation orders, client induced additional work beyond the original scope, changed engineering conditions from the contract document and decreased labor productivity due to extreme climatic conditions. All the above risk factors are rated as moderately critical to very critical in Kuwaits construction projects is very high. The five most critical time‐overrun factors identified in Kuwait’s infrastructure and building projects are: delay in government approvals/permits, delay in preparation and approval in variation orders, client induced additional work beyond the original scope, changed engineering conditions from the contract document and decreased labor productivity due to extreme climatic conditions. All the above risk factors are rated as moderately critical to very critical in Kuwait.

Circular construction offers sustainable solutions and opportunities to disentangle a project’s life cycle, including demolition, deconstruction and repurposing of architectural, civil engineering and infrastructure projects from the extraction of natural resources and their wasteful usage. However, it introduces additional layers of novel risks and uncertainties in the delivery of projects. The purpose of this study is to review the relevant literature to discover, classify and theorize the critical risk factors for circular construction projects.

The paper conducted a systematic literature review to investigate the risks of circular construction projects. It deployed a multistage approach, including literature search and assessment, metadata extraction, citation frequency analysis, Pareto analysis and total interpretive structural modeling.

Sixty-eight critical risk factors were identified and categorized into nine broad taxonomies: material risks, organizational risks, supply chain risks, technological risks, financial risks, design risks, health and safety risks, regulatory risks and stakeholder risks. Using the Pareto analysis, a conceptual map of 47 key critical risk factors was generated for circular construction projects. A hierarchical model was further developed to hypothesize the multiple possible connections and interdependencies of the taxonomies, leading to chain reactions and push effects of the key risks impacting circular construction projects.

This study constitutes the first systematic review of the literature, consolidating and theorizing the chain reactions of the critical risk factors for circular construction projects. Thus, it provides a better understanding of risks in circular construction projects.

Human–robot collaboration (HRC) is an emerging research field for the construction industry along with construction robot adoption, but its implementation remains limited in construction sites. This paper aims to identify critical risk factors and their interactions of HRC implementation during engineering project construction.

Literature research, expert interviews, a questionnaire survey and a social network analysis (SNA) method were used. First, literature research and expert interviews were employed to identify risk factors of HRC implementation and preliminarily understand factor interactions. Second, a questionnaire survey was conducted to determine the degree of interactions between risk factors. Third, based on the data collected from the questionnaire survey, SNA metrics were used to find critical risk factors and critical interactions.

The critical risk factors consist of robot technology reliability, robot-perceived level, conflict between designers and users of construction robots, organisational culture, organisational strength, project cost requirements, changeability of project construction, project quality requirements and project safety requirements. The interactions between risk factors are strong and complex. Robot technology risk factors were relatively fundamental risk factors, and project risk factors had a direct influence on the risk of HRC implementation. The implementation cost of HRC was not identified as a critical risk factor. Individual risk factors could be mitigated by improving technical and organisational factors.

This paper contributes to the body of knowledge in the field of both HRC behaviours and its risk management in construction project management. Identifying the critical risk factors and their interactions of HRC implementation in the construction industry and introducing social network theory to the research on critical risk factors are the innovations of this paper. The findings and proposed suggestions could help construction professionals to better understand the HRC risk factors and to manage the risk of HRC implementation more effectively.

International construction projects encompass various risks, and it is essential to evaluate and manage them to achieve project and firms’ success. As approaches to addressing international market risks vary from one country to another, the purpose of this paper is to identify the critical risk factors of embarking on international construction projects according to Indian experiences.

After primarily verifying the identified 26 risk variables, a questionnaire survey was conducted to draw upon the views of experts who possess international project experience. The 105 responses were analyzed using univariate and multivariate techniques. An analysis of variance identified the significant variables that influence overall performance on international construction projects, which were then grouped according to underlying relationships using factor analysis to determine the specific risk factors. Furthermore, considering these risk factors as independent variables and overall project performance as a dependent variable, a stepwise regression analysis was carried out to identify relatively critical risk factors.

The results revealed that of the identified four risk factors, the project-specific risk factor emerged as the foremost critical risk factor, the economic and market-specific risk factor was the second most critical risk factor, the firm-specific risk factor was the third most critical risk factor and the political-specific risk factor was the least critical risk factor. These findings were also validated appropriately.

This study was limited to the data acquired from Indian construction firms, predominantly consultants and contractors. Though the survey respondents possessed adequate familiarity in international construction, commonly perceived limitations in self-reported surveys such as the lack of conscientious responses and reporting bias were not an exception in this research.

The risk factors and their criticality – as identified in this study – can aid the multinational firms and international aspirants to prioritize the critical aspects and develop a suitable risk mitigation strategy to achieve greater project success in international market.

By investigating the various risk factors that influence overall performance of international construction projects, this research considerably contributes to the body of knowledge pertaining to international construction risk management that will enable firms from India and similar developing nations to emphasize on critical risk factors.

The purpose of this paper is to extend the body of knowledge on healthcare facilities management (FM) by investigating the risks associated with outsourcing of FM services in hospitals.

The paper relied on two strands of methodology common with pragmatic research. Questionnaire survey (QS) used data from 208 respondents representing ten hospitals while three out of the ten hospitals involved in the QS were selected based on their willingness to enter the case study (CS) interview. Data collected were analysed using descriptive and inferential statistics for QS and using narrative techniques by discussing themes, sub-themes for the CS.

Findings established 24 out of the 35 risk factors as critical, four factors as somehow critical, and five factors as not critical. Besides, nine risk factors were found to be significantly loaded on the five risk categories. The rank analysis also revealed that the top five critical risk factors are: inexperience and lack of requisite skills; possibility of fraud by vendor; financial failure of chosen vendor; vendor opportunism; and fall in morale of employees.

The study provides an unambiguous contribution to exiting body of knowledge on outsourcing risks as it relates to healthcare FM. It reinforces the theory that risks exist in any form of relationship but developed a distinct body of factors associated with outsourcing of FM services particularly from the context of Nigeria’s public healthcare sector.

The purpose of this paper is to construct a two-stage risk management framework for international construction projects based on the meta-network analysis (MNA) approach. A plethora of international construction studies seems to assume risks as independent and therefore, risk intervention strategies are usually critiqued as ineffective.

In the risk assessment stage, a multi-tiered risk network structure was developed with the project objectives, risk events, risk factors and stakeholders, and critical risk factors were selected based on a series of calculations. In the risk intervention stage, targeted risk intervention strategies were proposed for stakeholders based on the results of the first stage. A highway construction project in Eastern Europe was selected as a case study.

The results showed that 17 risk factors in three categories – external, stakeholder-related and internal – are critical, and the project manager, construction management department, supplier and contract department are the most critical stakeholders that affect the entire project performance. Based on the critical risk factors and project stakeholders, targeted risk intervention strategies were proposed. The risk assessment results of MNA were found to be more reliable and consistent with the project conditions than the risk matrix method; the risk intervention strategies of MNA can effectively address project objectives.

This study modeled risk priorities based on risk associations and put forward a new method for risk management, supplementing the body of knowledge of international construction. The results of this study are of critical importance in management practices.

The study aims to identify the possible risk factors for electricity grids operational disruptions and to determine the most critical and influential risk indicators.

A multi-criteria decision-making best-worst method (BWM) is employed to quantitatively identify the most critical risk factors. The grey causal modeling (GCM) technique is employed to identify the causal and consequence factors and to effectively quantify them. The data used in this study consisted of two types – quantitative periodical data of critical factors taken from their respective government departments (e.g. Indian Meteorological Department, The Central Water Commission etc.) and the expert responses collected from professionals working in the Indian electric power sector.

The results of analysis for a case application in the Indian context shows that temperature dominates as the critical risk factor for electrical power grids, followed by humidity and crop production.

The study helps to understand the contribution of factors in electricity grids operational disruptions. Considering the cause consequences from the GCM causal analysis, rainfall, temperature and dam water levels are identified as the causal factors, while the crop production, stock prices, commodity prices are classified as the consequence factors. In practice, these causal factors can be controlled to reduce the overall effects.

From the results of the analysis, managers can use these outputs and compare the risk factors in electrical power grids for prioritization and subsequent considerations. It can assist the managers in efficient allocation of funds and manpower for building safeguards and creating risk management protocols based on the severity of the critical factor.

The research comprehensively analyses the risk factors of electrical power grids in India. Moreover, the study apprehends the cause-consequence pair of factors, which are having the maximum effect. Previous studies have been focused on identification of risk factors and preliminary analysis of their criticality using autoregression. This research paper takes it forward by using decision-making methods and causal analysis of the risk factors with blend of quantitative and expert response based data analysis to focus on the determination of the criticality of the risk factors for the Indian electric power grid.

Inefficiency dilemmas in project governance are caused by various risks arising from the characteristic of construction supply chain projects, such as poor project performance, conflicts between stakeholders and cost overrun. This research aims to establish a fuzzy synthetic evaluation (FSE) model to analyze construction supply chain risk factors. Corresponding risk mitigation strategies are provided to facilitate the improvement performance of ongoing construction supply chain projects.

A literature review is utilized to reveal the deficiencies of construction supply chain risk management. Thus, a total of five hundred (500) questionnaires are distributed to construction professionals, and four hundred and thirty-five (435) questionnaires are recovered to obtain the evaluation data of construction professionals on critical risk factors. Additionally, the FSE is used to analyze and rank the significance of critical risk factors. Finally, this research discusses nine critical risk factors with high weight in the model, and explains the reason for the significance of critical risk factors in the construction supply chain.

The questionnaire results show that the thirty-one (31) identified critical risk factors are verified by related practitioners (government departments, universities and research institutions, owners, construction units, financial institutions, design units, consulting firms). Thirty-one (31) identified critical risk factors are divided into common risks, risks from contractors and risks from owners. The most significant factors in the three categories, respectively, are “political risks,” “owner's unprofessional” approach and “cash flow.” Managing these risks can facilitate the development of the construction supply chain.

This paper expands the research perspective of construction supply chain risk management and complements the risks in the construction supply chain. For practitioners, the research result provides some corresponding measures to deal with these risks. For researchers, the research result provides the direction of construction supply chain risk treatment.

Modular integrated construction (MiC) reengineers the traditional construction process. By introducing factory production and onsite assembly (OA) of modules, MiC reinvents construction projects' uncertainties and risk profiles. The OA stage constitutes the highest end of the MiC delivery and supply chains, where several inherited and symbiotic errors and risk events become realities, negatively impacting the MiC project's success. This study explored the severities of OA risk factors for MiC projects.

A comprehensive literature review, consultation of experts and a questionnaire survey of domain experts were conducted to assess the severity of fifteen OA risk factors for MiC projects. The risk severity index was used to compute and rank the severities of critical OA risk factors for MiC projects, followed by proposed mitigation strategies.

The study revealed that the top five OA risk factors with the severest impact on MiC projects include modules installation discrepancies and errors, poor cooperation among critical onsite stakeholders, a mismatch between production schedules and site conditions, improper lifting equipment selection for onsite installation and site-fit rework due to discrepancies in drawings.

This study is the first to offer some important insights into the uncertainties that could compromise the OA objectives of MiC projects. It discussed risk management strategies for known and unknown OA risks and made a unique contribution to the theory, practice, and praxis of MiC supply chain risk management.

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.