scholarly journals Bibliometric evaluation of research on political risks in construction projects

2021 ◽  
pp. 191-208 ◽  
Author(s):  
Chunling Wei ◽  
Xiaopeng Deng ◽  
Tengyuan Chang ◽  
Amin Mahmoudi ◽  
Safi Ullah

The current study aims to provide an overview of the research on political risk using the Web of Science(WoS)database as well as summarize research results and put forward some suggestions for research directions of political risk in international construction projects. It is the first time scientometric analysis of political risk research is executed. In this regard, the papers related to political risk in the WoS database have been retrieved and the literature is sorted out by visual and content analysis methods. Visual analysis is used to analyze the research overview, knowledge base, and research hotspots of this field. The content analysis method is adopted to expound the current research focus from three perspectives inducing the influence of political risk, risk assessment, and risk management measures. The results show that in the political risk context, the number of publications has experienced an increasing trend in recent years. Based on the existing literature on political risk for all companies, this overview provides some suggestions to address the political risk in international construction projects in the future. The results contribute to the scholars understanding of the research overview, research hotspots, and future research directions of political risk research in construction projects.

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Tengyuan Chang ◽  
Xiaopeng Deng ◽  
Bon-Gang Hwang ◽  
Xiaojing Zhao

International construction enterprises (ICEs) have been plagued with political risks in the global market. To ensure the success of political risk management, it is necessary to comprehend the political risks in international construction projects. This study aims at exploring the political risk paths in international construction projects. The preliminary political risk factors and paths were proposed from the literature review. A survey questionnaire was developed to collect political risk cases faced by Chinese construction enterprises (CCEs) performing international construction projects, and 264 valid cases were received and analyzed for this study. Adopting the confirmatory factor analysis (CFA) method, 6 macrofactors (“sociopolitical stability” (A), “legal and regulatory” (B), “social safety” (C), “economy performance” (D), “attitude towards foreigners” (E), and “international environment” (F)) and 2 microfactors (“low exposure” (G) and “capability of enterprises” (H)) were identified. Moreover, the results of path analysis illustrated that 7 factors (A, B, C, D, E, G, and H) had the significant direct negative effect on “risk consequences” and 3 factors (A, D, and F) had the indirect negative effect on “risk consequences.” The findings from this study help practitioners gain an in-depth understanding of political risks in international construction projects and provide a useful reference for ICEs to manage political risks when venturing outside their home countries.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Tengyuan Chang ◽  
Bon-Gang Hwang ◽  
Xiaopeng Deng ◽  
Xianbo Zhao

International construction projects are plagued with political risk, and international construction enterprises (ICEs) must manage this risk to survive. However, little attention has been devoted to political risk management strategies in international construction projects. To fill this research gap, a total of 27 possible strategies were identified through a comprehensive literature review and validated by a pilot survey with 10 international experts. Appraisals of these 27 strategies by relevant professionals were collected using questionnaires, 155 of which were returned. Exploratory factor analysis was conducted to explore the interrelationships among these 27 strategies. The results show that all of the 27 strategies are important for political risk management in international construction projects. Moreover, these 27 strategies were clustered into six components, namely, (1) making correct decisions, (2) conducting favorable negotiations, (3) completing full preparations, (4) shaping a good environment, (5) reducing unnecessary mistakes, and (6) obtaining a reasonable response. The 6 components can be regarded as 6 typical management techniques that contribute to political risk management in the preproject phase, project implementation phase, and postevent phases. The findings may help practitioners gain an in-depth understanding of political risk management strategies in international construction projects and provide a useful reference for ICEs to manage political risks when venturing outside their home countries.


2020 ◽  
Vol 1 (1) ◽  
pp. 1-15
Author(s):  
O. J. Adebiyi ◽  
A. G. Sanni

Multinational construction companies settled in African countries, especially Nigeria, to compete for infrastructural projects, in a bid to extend their services across their borders. The trans-border extension of the services offered by these multinationals exposes them to the political risk factors pertinent within the host-country. In order to survive the harsh realities of the political risk indicators operational in Nigeria, especially the North-eastern part of the country that has been plagued with civil unrest associated with the terrorist operations of Boko haram, it has become necessary to identify and manage these risk factors, to ensure the continuous survival of international construction companies in Nigeria. This paper seeks to identify and assess the prevalence of political risk factors influencing the corporate performance of international companies operating in the North-east of Nigeria. Data for the study was collected through structured questionnaires administered to 78 expatriate project managers from 6 international construction companies in 6 states in the North East of Nigeria. Collected data was analyzed using relative importance index and factor analysis. Findings revealed that terrorism, corruption, insurrections, sabotages and kidnapping were the top five risk factors with the highest frequency of occurrence. It was also revealed that terrorism, kidnappings, sabotages, corruption and change in government are the risk factors with the highest impact on operations in the region. It is therefore recommended that the federal, state and local governments should provide security for the lives, properties and investments in the region, companies should do more corporate social responsibilities and purchase political risk insurance cover to minimize their losses. Adebiyi, O. J. | Department of Quantity Surveying, University of Benin (UNIBEN), Benin City, Edo State, Nigeria.


2000 ◽  
Vol 31 (3) ◽  
pp. 4-13 ◽  
Author(s):  
Hashem Al-Tabtabai ◽  
Alex P. Alex

This paper describes a neural network model that can provide assistance in predicting the additional increase in project cost, due to political risk source variables affecting a construction project. The risk factors that affect a construction project are classified as “political source variables” and “project consequence variables.” These source variables are identified and represented in a neural network model. The paper explains how the developed political risk control model can be incorporated directly into a project cost estimation process. The paper concludes with a discussion of the capabilities and limitations of the proposed political risk estimation method, and how it will assist project managers in computing a realistic cost estimate for typical international construction projects under different political conditions.


2019 ◽  
Vol 12 (2) ◽  
pp. 53-80
Author(s):  
Sari Hanafi

This study investigates the preachers and their Friday sermons in Lebanon, raising the following questions: What are the profiles of preachers in Lebanon and their academic qualifications? What are the topics evoked in their sermons? In instances where they diagnosis and analyze the political and the social, what kind of arguments are used to persuade their audiences? What kind of contact do they have with the social sciences? It draws on forty-two semi-structured interviews with preachers and content analysis of 210 preachers’ Friday sermons, all conducted between 2012 and 2015 among Sunni and Shia mosques. Drawing from Max Weber’s typology, the analysis of Friday sermons shows that most of the preachers represent both the saint and the traditional, but rarely the scholar. While they are dealing extensively with political and social phenomena, rarely do they have knowledge of social science


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