Risk Mitigation Factors Research Articles

An ISM-MICMAC-based study for identification and classification of preventable safety risk mitigation factors in mass housing projects following a BIM approach

Construction operation is among the most high-risk sectors in terms of work-related accident, making it highly challenging to surveil the safety of such projects. In construction projects, failure to observe safety represents a leading cause of fatal accidents, not to mention the losses incurred by such accidents to national assets of the country. Accordingly, recent decades have witnessed the emergence of modern techniques for improving the occupational safety of construction projects. The main purpose of the present research is to identify and classify different preventable risk mitigation factors in mass housing projects following a building information modeling (BIM) approach. The research methodology included interviews with relevant experts and elites followed by analysis of the data on the 12 identified-as-significant variables for mitigating the preventable risk factors in mass house construction projects by means of the inferential – structural modeling (ISM) in MICMAC software. In order to explore the relationships among and succession of different criteria and further classify them at different levels, ISM was implemented, with the MICMAC software used to analyze the direct and indirect influences, develop influence/dependence maps, and judge about the role of each criterion. Findings of the present research showed that the mutual relations (H3), the reward system (H6), the reporting system (H7), and the supervisors' supervision (H8) are autonomous variables and hence impose the smallest contributions to the system. Accordingly, they can be eliminated from the model though their effects may not be completely ignored. On the other hand, the employees’ empowering (H4), the safety management system (H5), the teamwork (H9), the self-efficiency (H10), and the knowledge and awareness (H11) were identified as the linkage variables that fill in the gap between the safety and occupational accident reduction in the mass house construction projects. Further, the continuous improvement (H2) and the safe behavior (H12) were identified as dependent variables, implying that they exhibit the weakest influence coupled with highest dependence on any change in the conditions of the system. Last but not the least, the management commitment (H1) was identified as the only dependent variable which deserves lots of attention. This information can be helpful to safety decision-makers, end users, research organizations, and academic institutes who work to reduce the preventable risk factors in mass house construction projects.

COVID-19 vaccine wastage in private and public healthcare facilities in KwaZulu-Natal, South Africa.

In KwaZulu-Natal (KZN), South Africa, COVID-19 vaccinations commenced in May 2021. This study investigated the extent and reasons for COVID-19 vaccine (C19V) wastage in KZN and strategies undertaken to mitigate loss. This two-phase multicenter study was conducted at private and public healthcare facilities from May 2021 to July 2022. KZN reported 2% Pfizer and 1% Janssen C19V wasted, mainly due to expiry. C19V waste-minimization strategies reported by 100% public and private sector vaccination leads included cold chain monitoring, designated trained staff and the use of stock-management systems. The WHO's risk-mitigation factors should be implemented continuously to minimize vaccine wastage.

Capital Budgeting Implementation by Public Sector Construction Firms in Tanzania’s Housebuilding Industry: An Exploratory Study

This exploratory study investigates the implementation of capital budgeting practices (CBP) by selected public sector construction firms (PSCF) in Tanzania. This investigation seeks to assess the extent, to which such practices are used for effective investment decision-making, with a particular focus on the country’s housebuilding sector. A case study research design was adopted to collect data from five Tanzanian PSCF, serving as cases through a mix of questionnaires, interviews and document reviews. The emergent data was analysed using thematic analysis. An appreciable level of CBP implementation was observed in all the cases. The internal rate of return (IRR), net present value (NPV) and payback period (PBP) capital budgeting techniques (CBT) were observed to be mostly used by these PSCF, while sensitivity analysis was widely deployed for risk mitigation. The influence of top management in decision- making, political influence and lack of advanced software were some of the implementation challenges identified. The findings contribute to the elucidation of CBP implementation praxis in the public sector organisation context in developing countries, as it relates to the housebuilding industry in Tanzania’s unexplored context. The study proves to be a valuable resource for public sector entities in developing countries intent for facilitating effective investment decision-making about infrastructure procurement and it contributes to improving knowledge of CBP implementation, consideration of risk mitigation factors and post-project implementation audits by public sector firms.

An assessment of the risk mitigating factors in Ghana’s Bank Industry

Abstract To maintain financial stability, banks need to recognize, assess, and mitigate potential losses, thus making risk control critical for long-term profitability as well as avoiding unexpected losses. This research examines the risk mitigating factors and performance of Ghanaian domestic banks in terms of capital adequacy, bank size, bank efficiency, and profitability, along with their association with systemic risk in the bank sector, as measured by the Z-score: Insolvency Risk - (µROA) plus capital asset ratio (equity capital divided by sum of all assets further divided by the standard deviation-(ƠROA) with a higher score for banks as a measure of bank stability. The study further explores the relationship between this ratio and the explanatory variables for a sample of 11 banks operating in Ghana between 2010 and 2021. Analysis of the data using the fixed effects model shows that profitability and bank efficiency are significant and affect the stability of banks positively. Bank size, on the other hand, is significant but negatively affects the stability of banks. Bank profitability is critical to stabilizing and protecting the banking sector from external shocks; as a result, this study suggests that bank management apply prudent practices to profitability-driven indicators and that the banking sector regulations be congruent with macro-prudential policies.

The Emerging Omicron Variant, Children and School.

Many publications have demonstrated the detrimental effects of school closures on children, families and communities in the past two years of the COVID-19 pandemic. Currently, there is a surge of Omicron cases as children prepare to return to school around the world. While many children are asymptomatic or have mild disease, it is nevertheless an important problem. As we focus on vaccinations in the 5-12-year-old group, we should consider other risk mitigation factors to keep school open, and children safe.

Business Continuity Plan and Disaster Management Planning for Animals Within Zoo Enclosure: A Malaysia Perspective

Zoological parks have been linked to various potential calamities, including the inadvertent release of animal species on a regular basis. To mitigate the risk of animals escaping from these parks, it is crucial to assess the security of animal enclosures and identify the factors that may compromise their integrity. Furthermore, natural disasters pose an ongoing threat to public safety, and in such emergency situations, both animals and humans are vulnerable to harm, potentially endangering public safety. Lastly, the possibility of zoonotic diseases and their transmission among humans through direct or indirect contact with infected individuals or contaminated surfaces poses a significant threat to both the animals and the human staff working in the zoo. This paper will be looking at the three possible disasters and how to mitigate such disasters from happening in Malaysian zoos. Another matter that will be highlighted is the roles and responsibilities of authorities, communication plus testing and training. The Business Continuity Plan (BCP) will be used by the authorities to respond to each scenario, based on which business processes or assets get disrupted and to understand the scale and scope of what they are facing. Risk mitigation factors are also highlighted in this article.

Foreign Direct Investments in Africa: Are Chinese investors different?

In light of the upsurge in Chinese investments in Africa since Deng’s “Go Global” policy, we study whether the location choices of greenfield investors in Africa differ between Chinese and non-Chinese firms. We focus on risk- and information-related factors, i.e., investment protection provided by investment agreements and country-of-origin, industry, and internal agglomeration. We argue that Chinese firms enjoy ownership advantages that reduce their concern for risk. Our results show that Chinese firms are less sensitive to risk-mitigating factors compared to firms from advanced and other emerging economies. A lower reliance on internal agglomeration emerges as their distinctive trait in internationalization. We attribute this result to the systemic engagement of the Chinese government, which goes beyond state ownership and reduces the “liability of foreignness”. Chinese firms also appear more market-seeking and manufacturing-oriented, aggressively pursuing knowledge spillovers. Contrary to common perceptions, they do not seem distinctively resource-seeking or to pursue unstable countries.

Military health and performance optimization: a circadian strategy in response to governmental policies

In 2017, USS Fitzgerald and USS John S. McCain, both guided-missile destroyers, experienced underway collisions that resulted in the deaths of 17 Sailors and degradation of national defense as two warships were removed from the frontline. This incident garnered Congress’ attention leading to numerous fatigue management policies and working groups instituted at various levels across the Department of Defense. One policy of the Department of the Navy (3120.2A; Dec 11, 2020) specifically addressed risk mitigation factors for maritime operations occurring in the overnight and early morning hours around the circadian nadir or trough in alertness and vigilance. Despite these circadian challenges that come with mission demands of military service, there are many opportunities as outlined in the Department of Navy policy to reduce and/or eliminate the performance-related risks associated with circadian misalignment. In regard to actionable systems and processes aligned with these policies, the first step is to perform a risk assessment to identify circadian-related problems that could arise in response to conducting the military training exercise or operation. The second step is to integrate a means to monitor 24-hour physiology, mitigate performance risk through fatigue countermeasures, and/or re-align the circadian timing system of military personnel to enhance sleep, manage fatigue, and optimize performance. Most importantly, the approach is not a one size fits all. Each military operation will require unique adaption (re-alignment) to the environment and each military operation may require a unique countermeasure(s).

Effects of stimulus discriminability on peak shift: An investigation with COVID-19 risk assessments

Intradimensional discrimination training may cause peak shift, in which participants respond more frequently to a novel stimulus presented during a generalization test than the positive exemplar used in training. Previous research has shown that peak shift is most likely to occur in participants who have achieved an intermediate level of proficiency with the discrimination. We sought to examine whether discrimination learning and peak shift could be altered through variations in stimulus discriminability. An international sample of 117 adults were trained to discriminate one visual representation of risk from COVID-19 (S+) from a second level of risk (S-) that was either lesser or greater. In a high discriminability condition, a single indicator of risk (a bar length) was presented on each trial. In a moderate discriminability condition, participants were required to estimate a person’s risk from multiple risk indicators. In a low discriminability condition, participants were additionally required to consider risk mitigation factors when estimating a person’s risk. Peak shift was absent in the high discriminability condition but present in the moderate condition. The low discriminability condition produced either flat or monotonic generalization gradients. The results additionally demonstrate how presenting health risk information to people in relatively simple or relatively complex ways affects their ability to judge that information correctly.

State Capture in South Africa and Canada: A Comparative Analysis

Corruption in all its forms, from bribery to influence and distortion of oversight, accountability and justice systems, in order to protect the criminal behavior of functionaries (public officials and political officials) is a global phenomenon. Corruption as a phenomenon is found in well-established democracies such as Canada, and is often endemic in young democracies such as South Africa, who fall into a cycle of political corruption and administrative accountability avoidance. What are the cross-cutting risk factors and mitigation factors that shape the functionality of anti-corruption mechanisms? This comparative analysis of corruption and state capture provides insight into the functionality of oversight, anti-corruption and accountability mechanisms in both countries. Findings indicate that both Canada and South Africa are at risk of the erosion of safeguards and at risk of the deterioration of the levels of vigilance required to prevent state capture.

Beyond technical measures: a value-focused thinking appraisal of strategic drivers in improving information security policy compliance

ABSTRACT The evolving sophistication of threats and the impact of security breaches have caused managers to continually grapple with strategies to reduce these risks. One common security control is the adoption of information security policies (ISPs) geared at improving employees’ compliance behaviour. However, there is mounting empirical evidence that shows that ISP compliance is a challenging undertaking with less than satisfactory outcomes. Further, little attention is placed on developing economies in the study of this phenomenon. This research adopts a values-based methodology to determine fundamental and means objectives in maximising employees’ compliance with ISPs in a developing economy context. The research identifies 30 objectives and demonstrates that risk mitigation, people, technical and organisational factors are essential to improving compliance. The results contribute objectives, contextualised to the people for whom the results are relevant, thus promoting deeper understanding. The research offers utility to managers in the design and implementation of InfoSec strategies and policies. The findings can also inform investment decisions regarding compliance tools, methods and technologies. Recognising that security (information and cyber) threats are a global dilemma, we contend that investigating forms of security risks and potential solutions can mitigate the social and economic costs of security incidents.

Assessing the efficiency of the Covid-19 control measures and public health policy in OECD countries from cultural perspectives

PurposeTo identify sources of the success and failure of COVID-19 control measures and develop best-practice public health policy in mitigating the spread of COVID-19, this paper aims to evaluate the efficiency of various combinations of government COVID-19 control measures among OECD countries. This paper also identifies which factors critically influence the efficiency of COVID-19 control measures.Design/methodology/approachThis paper employed two-stage network SBM (slacks-based measure of efficiency) models with variable returns-to-scale and constant returns-to-scale, respectively, among various forms of data envelopment analysis (DEA) models. As a post hoc analysis, the authors used Tobit regression for examining the causal relationship between a nation's cultural dimensions and its COVID-19 control measure's efficiency scores.FindingsThe authors found that the pervasive less individualistic and higher uncertainty avoiding culture positively influenced the efficient control of COVID-19 outbreaks since such a culture helped the government impose its mandatory COVID-19 control measures without people's strong resistance to those measures.Originality/valueMany public health policymakers are wondering why COVID-19 control measures are not effective in coping with the COVID-19 outbreaks. This paper helps the government find the most efficient combination of COVID-19 controls measures for curbing the spread of the stubborn coronavirus. This paper is one of the first attempts to identify pandemic risk mitigation factors from a cultural perspective.

Determinants of enhanced vulnerability to Covid-19 in U.K. cancer patients: Results from the OnCovid study.

1574 Background: Despite high contagiousness and rapid spread, SARS-Cov-2 has led to heterogeneous outcomes across affected nations. Within Europe, the United Kingdom is the most severely affected country, with a death toll in excess of 100.000 as of February 2021. We aimed to compare the national impact of Covid-19 on the risk of death in UK cancer patients versus those in continental Europe (EU). Methods: We performed a retrospective analysis of the OnCovid study database, a European registry of cancer patients consecutively diagnosed with Covid-19 in 27 centres from February 27 to September 10, 2020. We analysed case fatality rates and risk of death at 30 days and 6 months stratified by region of origin (UK versus EU). We compared patient characteristics at baseline, oncological and Covid-19 specific therapy across cohorts and tested these in multivariable Cox regression models to identify predictors of adverse outcome in UK versus EU patients. Results: Compared to EU patients (n = 924), UK patients (n = 468) were characterised by higher case fatality rates (40.38% versus 26.5%, p < 0.0001), higher risk of death at 30 days (hazard ratio, HR 1.64 [95%CI 1.36-1.99]) and 6 months after Covid-19 diagnosis (47.64% versus 33.33%, p < 0.0001, HR 1.59 [95%CI 1.33-1.88]). UK patients were more often males, of older age and more co-morbid than EU counterparts (p < 0.01). Receipt of anti-cancer therapy was lower in UK versus EU patients (p < 0.001). Despite equal proportions of complicated Covid-19, rates of intensive care admission and use of mechanical ventilation, UK cancer patients were less likely to receive anti-Covid-19 therapies including corticosteroids, anti-virals and interleukin-6 antagonists (p < 0.0001). Multivariable analyses adjusted for imbalanced prognostic factors confirmed the UK cohort to be characterised by worse risk of death at 30 days and 6 months, independent of patient’s age, gender, tumour stage and status, number of co-morbidities, Covid-19 severity, receipt of anti-cancer and anti-Covid-19 therapy. Rates of permanent cessation of anti-cancer therapy post Covid-19 were similar in UK versus EU. Conclusions: UK cancer patients have been more severely impacted by the unfolding of the Covid-19 pandemic despite societal risk mitigation factors and rapid deferral of anti-cancer therapy. The increased frailty of UK cancer patients highlights high-risk groups that should be prioritised for anti-SARS-Cov-2 vaccination. Continued evaluation of long-term outcomes is warranted.

Determinants of enhanced vulnerability to coronavirus disease 2019 in UK patients with cancer: a European study

BackgroundDespite high contagiousness and rapid spread, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to heterogeneous outcomes across affected nations. Within Europe (EU), the United Kingdom (UK) is the most severely affected country, with a death toll in excess of 100,000 as of January 2021. We aimed to compare the national impact of coronavirus disease 2019 (COVID-19) on the risk of death in UK patients with cancer versus those in continental EU. MethodsWe performed a retrospective analysis of the OnCovid study database, a European registry of patients with cancer consecutively diagnosed with COVID-19 in 27 centres from 27th February to 10th September 2020. We analysed case fatality rates and risk of death at 30 days and 6 months stratified by region of origin (UK versus EU). We compared patient characteristics at baseline including oncological and COVID-19–specific therapy across UK and EU cohorts and evaluated the association of these factors with the risk of adverse outcomes in multivariable Cox regression models. FindingsCompared with EU (n = 924), UK patients (n = 468) were characterised by higher case fatality rates (40.38% versus 26.5%, p < 0.0001) and higher risk of death at 30 days (hazard ratio [HR], 1.64 [95% confidence interval {CI}, 1.36–1.99]) and 6 months after COVID-19 diagnosis (47.64% versus 33.33%; p < 0.0001; HR, 1.59 [95% CI, 1.33–1.88]). UK patients were more often men, were of older age and have more comorbidities than EU counterparts (p < 0.01). Receipt of anticancer therapy was lower in UK than in EU patients (p < 0.001). Despite equal proportions of complicated COVID-19, rates of intensive care admission and use of mechanical ventilation, UK patients with cancer were less likely to receive anti–COVID-19 therapies including corticosteroids, antivirals and interleukin-6 antagonists (p < 0.0001). Multivariable analyses adjusted for imbalanced prognostic factors confirmed the UK cohort to be characterised by worse risk of death at 30 days and 6 months, independent of the patient's age, gender, tumour stage and status; number of comorbidities; COVID-19 severity and receipt of anticancer and anti–COVID-19 therapy. Rates of permanent cessation of anticancer therapy after COVID-19 were similar in the UK and EU cohorts. InterpretationUK patients with cancer have been more severely impacted by the unfolding of the COVID-19 pandemic despite societal risk mitigation factors and rapid deferral of anticancer therapy. The increased frailty of UK patients with cancer highlights high-risk groups that should be prioritised for anti–SARS-CoV-2 vaccination. Continued evaluation of long-term outcomes is warranted.

Using machine learning tools to investigate factors associated with trends in 'no-shows' in outpatient appointments.

Missed appointments are estimated to cost the UK National Health Service (NHS) approximately £1 billion annually. Research that leads to a fuller understanding of the types of factors influencing spatial and temporal patterns of these so-called "Did-Not-Attends" (DNAs) is therefore timely. This research articulates the results of a study that uses machine learning approaches to investigate whether these factors are consistent across a range of medical specialities. A predictive model was used to determine the risk-increasing and risk-mitigating factors associated with missing appointments, which were then used to assign a risk score to patients on an appointment-by-appointment basis for each speciality. Results show that the best predictors of DNAs include the patient's age, appointment history, and the deprivation rank of their area of residence. Findings have been analysed at both a geographical and medical speciality level, and the factors associated with DNAs have been shown to differ in terms of both importance and association. This research has demonstrated how machine learning techniques have real value in informing future intervention policies related to DNAs that can help reduce the burden on the NHS and improve patient care and well-being.

The effect of clinical decision making for initiation of systemic anticancer treatments in response to the COVID-19 pandemic in England: a retrospective analysis

BackgroundCancer services worldwide had to adapt in response to the COVID-19 pandemic to minimise risk to patients and staff. We aimed to assess the national impact of COVID-19 on the prescribing of systemic anticancer treatment in England, immediately after lockdown and after the introduction of new treatments to reduce patient risk.MethodsWe did a retrospective analysis using data from a central National Health Service England web database mandated for clinicians to register intention to start all new systemic anticancer treatments approved for use in England since 2016. We analysed the monthly number of treatment registrations in April, 2020, after the implementation of societal lockdown on March 23, 2020, and after implementation of treatment options to reduce patient risk such as oral or less immunosuppressive drugs, in May and June, 2020. We compared the number of registrations in April–June, 2020, with the mean number of registrations and SD during the previous 6 months of unaffected cancer care (September, 2019, to February, 2020). We calculated the percentage change and absolute difference in SD units for the number of registrations overall, by tumour type, and by type and line of therapy.FindingsIn April, 2020, 2969 registrations were recorded, representing 1417 fewer registrations than in the control period (monthly mean 4386; 32% reduction, absolute difference 4·2 SDs, p<0·0001). In May, 2020, total registrations increased to 3950, representing a 10% reduction compared with the control period (absolute difference 1·3 SDs, p<0·0001). In June, 2020, 5022 registrations were recorded, representing a 15% increase compared with the control period (absolute difference 1·9 SDs; p<0·0001]).InterpretationAfter the onset of the COVID-19 pandemic, there was a reduction in systemic anticancer treatment initiation in England. However, following introduction of treatment options to reduce patient risk, registrations began to increase in May, 2020, and reached higher numbers than the pre-pandemic mean in June, 2020, when other clinical and societal risk mitigation factors (such as telephone consultations, facemasks and physical distancing) are likely to have contributed. However, outcomes of providing less treatment or delaying treatment initiation, particularly for advanced cancers and neoadjuvant therapies, require continued assessment.FundingNone.

Identification and selection of animal health and food safety-related risk factors to be included in the Canadian Food Inspection Agency's risk assessment model for livestock feed mills

The safety of livestock feed is recognized worldwide as a prerequisite for the protection of animal and human health. In this context, the Canadian Food Inspection Agency is developing an Establishment-based Risk Assessment model for livestock feed mills (ERA-Feed Mill) to assist in the allocation of inspection resources based on feed safety risk. The objectives of the present study were to identify and select animal health and food safety-related risk factors along with their assessment criteria, pertaining to Canadian feed mill practices, to be included in the ERA-Feed Mill model. To do so, a review of the scientific literature and consultations with feed experts were conducted. A final list of 34 risk factors was generated, 21 identified from the scientific literature and 13 from feed expert advice. Risk factors were grouped into three clusters: inherent risk factors, mitigation factors and compliance factors for which 4, 10 and 20 factors were identified, respectively. Criteria for quantitatively assessing each risk factor were defined based on common practices found in the Canadian feed industry. These findings contributed to the initial steps of the CFIA's ERA-Feed Mill model development. By assessing the feed safety risk factors related to feed mills in Canada, this tool will help inform the CFIA on the level of oversight required to manage these risks, and will contribute to the production and maintenance of healthy livestock and the production of safe food.

Expert Elicitation to Estimate the Relative Risk of Food Safety Criteria Included in the Establishment-Based Risk Assessment Model for Canadian Hatcheries.

The Canadian Food Inspection Agency is developing an Establishment-based Risk Assessment model for Hatcheries to allocate inspection resources according to the food safety risk associated with each hatchery falling under its jurisdiction. In a previous study, 29 factors contributing to the food safety risk of hatcheries were identified and grouped into three clusters (inherent risk, risk mitigation, and compliance) and assessment criteria were defined. The objective of the current study was to estimate the relative risk (RR) of these criteria. Two rounds of expert elicitations were conducted to allow 13 Canadian experts to estimate the RR of each criterion (n = 96) based on its potential impact on human health, with a specific focus on Salmonella spp. This process also aimed to estimate the maximum increase or decrease in the overall food safety risk of a hatchery when considering multiple criteria belonging to a specific cluster and to assess the risk attribution of Salmonella spp. at the hatchery and bird-type levels. Results showed that the respondent profile had no influence on the importance given to a majority of criteria. Uniformity of answers among experts improved from the first to the second round. Overall, 62.5%, 32.3%, and 5.2% of the criteria were attributed to an RR that was less than 2, between 2 and 3, and greater than 3, respectively. Mixing eggs from different supply flocks when placed into the same hatching unit, hatching multiple species, and importing eggs with unknown quality status were identified as having the highest contribution to a hatchery's inherent risk. Requiring information on the foodborne pathogen status of supplying flocks and the occurrence of regulatory enforcement actions were the most impactful risk mitigation and compliance factors, respectively. The median RR value assigned to each criterion and cluster will be used to build this new model.

Effects and Choices of Environmental Pollution Liability Insurance in Provinces of China

China began a pilot application for environmental pollution liability insurance in 2008. Although implementation situations vary substantially in different regions in China, it is appropriate to test how much contribution pollution insurance may make to environmental risk mitigation and other factors. Based on an analysis of pollutant emissions and investment completed in the treatment of industrial pollution, we find that pollution liability insurance, both compulsory and voluntary, does not work as expected in reducing environmental pollution. The value of this insurance mainly lies on the concern of the government for victims in environmental disasters. Considering the high administrative costs, it is not proper to push compulsory insurance across the country indiscriminately. Thus, this paper further classifies all 31 provinces in mainland China according to their economy and pollution characteristics and establishes guidelines for adopting pollution insurance for each province. The result shows that compulsory insurance is unnecessary for most provinces, while voluntary insurance can match their needs better.

Influence of risk mitigation measures on international construction project success criteria – a survey of Indian experiences

Despite globalisation bringing diverse opportunities for construction firms from developing countries, executing international construction projects entails many risks. Several past studies illustrate the risks faced by firms in international construction projects and recommend various risk mitigation measures without revealing their effect on project success criteria. In order to fill this knowledge gap, this study aims to test the influence of identified risk mitigation measures on project success criteria. To achieve this, nine risk mitigation measures and three project success criteria—cost performance, schedule performance and firm’s performance—were identified through a literature review. After verifying the identified risk mitigation measures and project success criteria with a preliminary study, a questionnaire was administered to experts who possess adequate knowledge in international construction projects. The collected data from 105 questionnaires were analyzed, grouped and modelled using factor analysis and structural equation modelling (SEM). Application of factor analysis to identify the correlated risk mitigation measures extracted three risk mitigation factors, namely pre-project planning, local participation and contract selection. Furthermore, the influence of risk mitigation factors on project success criteria is hypothesized and tested using SEM. Amongst the identified risk mitigation factors, local participation emerges as the most influencing factor on project success criteria followed by contract selection and pre-project planning. The generated model would enable construction firms from India and similar developing countries to focus on identified risk mitigation factors to achieve improved project success criteria and project management success.