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This paper aims to investigate the multi-faceted impact of host country risks on the success of private participation in infrastructure projects. The authors make a distinction between exogenous and endogenous risks, differentiating those that are completely beyond the control of the firm from those in which firms might exert some degree of influence to reduce the negative repercussions.

Drawing on logistic regression analyses, the authors analyze a sample of 10,350 private participation in infrastructure projects in 126 countries from 1997 to 2014.

The authors find that higher levels of exogenous risk are associated with a lower probability of project success, whereas they find no significant effect for endogenous risk.

By pointing to this differential effect, this study makes a contribution to the current debate in the literature on private participation projects.

The primary purpose of this study is to explore the relationship between the unsolicited proposal (USP) and the performance of private participation infrastructure (PPI) projects in developing countries.

The main data set for this study was collected from the World Bank database consisting of 8,951 PPI projects that occurred in developing countries from 1996 to 2020. Hierarchical logistic regression was applied for investigating the effects of USPs on project success. Three moderators, namely, control of corruption, presence of local sponsor and project size were also included in the model to test the impact of their interactions with the USP on the performance of PPI projects. Further, to assess the impact of the effect of USPs, the average marginal effect was calculated. The framework used in this study consists of 18 control variables, three moderators and one noncontrolled independent variable (the USP).

The results of hierarchical logistic regression indicate that USPs have a significant and negative effect on the success of PPI projects occurring in developing countries. The negative effect of a USP weakens with the presence of local sponsors and stronger control of corruption in the host country. However, contrary to the authors’ expectations, the results show that project size does not significantly affect the association between USPs and the success of PPI projects. Moreover, the results of average marginal effects show that the negative impact of USP on the success of PPI projects ranges between 2.4% and 3.8%.

This study quantifies the negative impact of USP on the success of PPI projects in developing countries, which will be helpful for the practitioners to understand the associated risk with USP projects. Furthermore, it also identifies the moderating roles of control of corruption and the presence of local sponsors on the relationship between USP and the success of PPI projects.

The privatization of infrastructure promotes efficiency and service standards. While cross-border private participation infrastructure (PPI) projects hosted in emerging markets have become more prevalent in recent years, there have also been more failures. The purpose of this paper is to investigate how governance distance affects the survival of cross-border PPI projects.

The authors provide theoretical justification and empirical evidence to verify our views. The authors test the hypotheses on a sample of 4,678 cross-border PPI project investments made in emerging market countries between 1990 and 2016. Estimation techniques consist of a binary logistic regression model and a rare events logistic model.

The findings suggest that increased governance distance can lead to project failure. The study results show that governance distance is negatively correlated with the probability of project survival. Greenfield investment intensifies the negative effect of governance distance while competitive contracts mitigate the negative effect of governance distance.

The results reveal that transnational investment in infrastructure projects is susceptible to institutional differences between home and host countries. Therefore, both private enterprises and host government should pay attention to the impact of inter-country differences on negotiations and project operation. Competitive contracts mitigate this negative effect, but entering in the form of greenfield investment amplifies the negative effect of distance.

Transnational industrial engineering projects are easily affected by the differences in governance levels between the two countries. This study introduces governance distance into the field of infrastructure projects, focusing on the impact of differences between home and host countries on transnational projects. The findings on infrastructure projects that are closely related to host government contribute to the literature by broadening the research of institution and distance.

The purpose of this paper is to investigate the impact of climate risk on the success vs failure of foreign direct investments (FDIs) in private participation infrastructure (PPI) projects. The authors also consider the extent to which project-level characteristics mitigate such risks.

The authors study a sample from the World Bank covering 18,846 projects in 111 countries from 2004 to 2013. The authors apply logistic regressions to determine the impact of climate risk and mitigating project characteristics on project failure.

The authors find that higher levels of climate risk at the host country level are associated with higher risk of project failure. The authors also find that the disadvantage of higher climate risk is weakened by two project-level characteristics, namely, the inclusion of host government ownership in the project consortium and the size of the project.

The research contributes to the current debate about the impact of climate risks on international business ventures. The authors demonstrate that climate risk is a locational disadvantage for FDI in PPI projects. The authors establish that the “fittest” projects in locations characterized by higher climate risk tend to be those that involve host government participation in their ownership structure as well as those of larger sizes.

The purpose of this paper is to discuss the impacts of the investment programs created by the Brazilian federal government on private investment in transportation infrastructure (crowding-in effect).

The study used two quantitative techniques of data analysis: cluster analysis and panel data analysis.

The results show that the investment programs created by the Brazilian federal government were successful in attracting private agents to invest in transportation infrastructure in the country. This effect is observed even in the cases of programs focused on public investments.

Advancing the research area that seeks to assess the impact of public policies is the main practical and social implications of the papers. As a research limitation we can highlight that need for a comparison to other country investment’s public policies.

Performance of public policies.

Economic development.

The paper discusses the effects of the Brazilian Federal Government programs for infrastructure investment in the private investment in the country (investment in transportation infrastructure). The issue is relevant for policies makers.

The purpose of this study is to propose an improved framework for managing Private Participation in Infrastructure ICT (PPI-ICT) projects in the context of developing countries as the requirements to manage them are different in several aspects.

The framework has been proposed based on an exhaustive literature review and statistical analysis of the PPI-ICT projects’ data set using logistic regression, F-test and student’s t-test. The proposed framework was also applied to the PPI-ICT projects.

The framework is an extension to NTCP (novelty, technology, complexity and pace) approach by including extrinsic factors such as income of the country, climate risk, religious diversity, political stability, regularity quality and control of corruption. The proposed framework was used to analyze project characteristics and their external conditions in the context of developing countries. Based on the analyses, the authors have presented a detailed set of recommendations for project managers, practitioners and governments to improve the success rate of these projects.

The major contribution of this study is the framework, which encompasses the NTCP model as well as extrinsic characteristics of PPI-ICT projects. The proposed framework is meant to assist the project managers to comprehend the project characteristics and its external environment to identify an adequate approach for managing projects successfully.

Foreign direct investment in the infrastructure (FDII) of developing countries has a history of at least four decades. Bullish demand for foreign infrastructure services in developing countries, in combination with unstable political environments, has buoyed attention in political risk management (PRM). Even so, research into PRM of FDII remains fragmented and unmapped. Thus, the purpose of this paper is to identify the current body of knowledge in this area, uncover deficiencies and lay the foundation for further practical PRM research in FDII.

This paper offers a bibliometric-qualitative review of current literature on political risk in foreign infrastructure in developing countries. A 36-year period is identified, from 1983 to 2018. Publication year, area of focus, author(s), institution and country are classified and analyzed through the medium of social network analysis. The tools used are VOSviewer, CiteSpace and Gephi to analyze citation networks of 345 published papers. Out of 345 papers, 94 highly related studies were selected for further content analysis.

The study identified the research trends in related areas of PRM in infrastructure (e.g. PRM in international construction and foreign direct investment) by bibliometric analysis, which includes scattered researcher collaboration, wide-ranging and unfocused journal selection, unsystematic and discontinuous research themes. The specific research weakness in PRM in FDII is recognized by qualitative analysis from the perspective of PRM process, which reveals a lack of understanding of the impact of political risk factors, subjective risk estimations, lacking application of mature political risk database in FDII, combined with a shortage of complete and effective strategies for PRM in FDII in developing countries.

This paper is the first of its kind, providing a comprehensive benchmark survey of the research to date in PRM in foreign infrastructure investment in developing countries. It proposes a framework of future research agenda on PRM in FDII, including special issues on this topic, identification and assessment of political risk factors with objective methods, proposition of PRM strategies on FDII with proactive and active approaches, completing strategies of PRM with reactive strategies from the perspectives of whole life cycle of infrastructure projects, political risk factors and stakeholders. It also addressed the need to investigate the suitable literature databases for researching in this area.

Political risk has been identified as a major impediment to the success of foreign invested projects, in developing countries. Infrastructure projects are especially sensitive to host-country political climates. Governance in emerging economies can be unstable, which adversely impacts infrastructure projects, given their high capital-intensity, long operational periods and high asset specificity. While the detrimental impact of political risk is well documented, the mitigation of such impacts on infrastructure projects remains largely unexamined. This study, therefore, addresses this by exploring the available identified political risk management (PRM) strategies based on resilience theory and evaluating their effectiveness.

A mixed-method approach was employed to identify PRM strategies. Firstly, a comprehensive literature review identified 40 potential PRM strategies. However, the applicability of those 40 strategies was uncertain due to the scarcity of PRM studies. Thus, expert interviews, drawing on the insights of Chinese infrastructure industry professionals with experience in FII, were applied to review the identified strategies. This process reduced the pool of applicable strategies to 34. Subsequently, 356 questionnaires were sent out to investors from China, Australia and Singapore, with 218 valid responses returned. Based on the data collected from the surveys, statistical analysis was used to evaluate and classify applicable PRM strategies.

Results reveal the most effective top five strategies for offsetting the detrimental effects of political risk on foreign infrastructure investment to be: (1) selection of suitable markets and projects; (2) maintaining good relationship with government; (3) purchasing political insurance; (4) utilizing capable contractors from both host country and home country; and (5) adopting an appropriate entry mode. The 34 strategies were further consolidated into four meta-strategies through factor analysis, resulting in the formulation of a strategy selection matrix.

The findings of this study offer a rational means by which infrastructure investment practitioners considering projects in developing countries, may arrive at an optimal political risk mitigation strategy. The findings also offer government of host countries directives to improving the political environment in order to attract foreign investment flows into local infrastructure projects.

The study investigates the effects of core self-evaluations on project managers' competencies. The study further examines the moderating effect of cultural intelligence between core self-evaluations and competencies.

In this study, with a descriptive-survey approach, necessary data were collected from a sample of project managers of Iran's Ministry of Communication and Information Technology through questionnaires. The conceptual framework of the study was tested according to structural equation modeling by PLS software.

Findings show that core self-evaluations have positive and significant effects on project managers' competencies among which psychological stability has the greatest effect. Furthermore, the moderating role of cultural intelligence in the relationship between core self-evaluations and project managers' competencies was confirmed. According to the calculated coefficient, motivational cultural intelligence had the greatest role.

The data were collected using a questionnaire at a single point in time, and thus, not allowing cause–effect inferences. Also, the demographic variables were not controlled.

The results of this study provide some implications for HRM professionals and project managers interested in promoting a system of HR practices that contributes to enhancing project managers' competencies and effectiveness.

This study advances our understanding of the factors that have an effect on project managers' competencies, specifically on a list of main competencies necessary for project managers' performance. Moreover, it suggests that project managers' competencies will benefit from cultural intelligence, which will display a greater effect when embedded in highly diverse cultural contexts.

The purpose of this study is to investigate the impact of Corona Virus Disease 2019 (COVID-19) on the outcome of construction projects and explore the moderating effects of emerging technologies on the relationship between COVID-19 and construction project outcomes.

Data for the study was collected through a Web-based, semistructured questionnaire. The responses of 62 construction practitioners were analyzed using a hierarchical linear regression model. The model consists of 16 independent variables, three control variables (organization size, organization type and project size), one moderator (adoption level of emerging technologies) and three dependent variables (project time, project cost and project quality).

The study confirms the negative significant impact of the COVID-19 pandemic on the performance of construction projects. It also identifies the significant moderating effects of emerging technologies in mitigating the impact of COVID-19 on construction projects. Further, it shows a significant increase in the application of emerging technologies in construction projects during the COVID-19 pandemic. Based on the findings related to the moderating impact of the technology, this study provides a clear set of recommendations for construction firms, public sector and research community in combating the unavoidable situation similar to the COVID-19 pandemic in the future.

To the best of the authors’ knowledge, this is the first study to identify the moderating role of technology on the impact of COVID-19 on the performance of the construction sector in Pakistan. The findings can also be used for the construction sectors of other developing countries.