Publication: Identifying the non-traditional safety risk paths of employees from chinese international construction companies in Africa
dc.contributor.author | Jin, Chi | |
dc.contributor.author | Li, Bo | |
dc.contributor.author | Ye, Zhaoying | |
dc.contributor.author | Xiang, Pengcheng | |
dc.contributor.funder | Delft University of Technology | |
dc.contributor.funder | China Scholarship Counci | |
dc.contributor.ror | https://ror.org/02jjdwm75 | |
dc.date.accessioned | 2024-07-08T13:15:13Z | |
dc.date.available | 2024-07-08T13:15:13Z | |
dc.date.issued | 2021 | |
dc.description.abstract | In recent years,more and more construction enterprises are expanding into overseas mar-kets,especially in underdeveloped regions such as Africa. Compared to domestic construction pro-jects,international construction projects have been faced with more uncertainties and increased lev-els of safety risks to the employees in the context of political turmoil,racism,and religious conflict in the host country. This study aims to answer what risk factors contribute to the threat to the safety of overseas employees and how safety risk factors interact,using employees from Chinese international construction companies (CICCs) in Africa as an example. A total of 39 safety risk factors were selected by literature review and case study based on Heinrich’s Domino Theory of Accident Cau-sation. To identify the critical safety risk sources and significant risk paths,a questionnaire survey was conducted among 208 professionals who have participated in construction projects in Africa. Using structural equation modeling (SEM),a total of twelve critical risk paths and five controllable risk sources were identified. The improper behaviors of the CICCs and their employees were shown to have the largest impact on the safety of Chinese employees,through the mediating effect of the criminal offense. This study provides some insights into safety risk management in international construction projects. Meanwhile,the quantitative approach proposed can also be used by other international companies or governments in identifying the safety risk paths of their overseas workers involved in international construction projects. © 2021 by the authors. Licensee MDPI,Basel,Switzerland. | |
dc.description.fundingtype | This research was funded by the China Scholarship Council | |
dc.description.fundingtype | grant number 201806050099. The APC was funded by Delft University of Technology. | |
dc.description.keyword | Africa | |
dc.description.keyword | Chinese international construction companies | |
dc.description.keyword | Risk paths | |
dc.description.keyword | Risk prevention | |
dc.description.keyword | Risk sources | |
dc.description.keyword | Safety risks | |
dc.description.peerreviewed | yes | |
dc.description.status | Published | |
dc.format | application/pdf | |
dc.identifier.citation | Jin, C., Li, B., Ye, Z., & Xiang, P. (2021). Identifying the non-traditional safety risk paths of employees from chinese international construction companies in Africa. International Journal of Environmental Research and Public Health, 18(4). https://doi.org/10.3390/ijerph18041990 | |
dc.identifier.doi | https://doi.org/10.3390/ijerph18041990 | |
dc.identifier.issn | 16617827 | |
dc.identifier.officialurl | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100855308&doi=10.3390%2fijerph18041990&partnerID=40&md5=93fb8bec2dfbd8b55bcea65d18ecd532 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14417/3185 | |
dc.issue.number | 4 | |
dc.journal.title | International Journal of Environmental Research and Public Health | |
dc.language.iso | en | |
dc.page.final | 20 | |
dc.page.initial | 1 | |
dc.page.total | 19 | |
dc.publisher | MDPI AG | |
dc.relation.entity | IE University | |
dc.relation.projectID | CSC: 201806050099 | |
dc.relation.school | IE School of Politics, Economics & Global Affairs | |
dc.rights | Attribution 4,0 International | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Africa; Chinese international construction companies; Risk paths; Risk prevention; Risk sources; Safety risks | |
dc.subject.keyword | Africa | |
dc.subject.keyword | Chinese international construction companies | |
dc.subject.keyword | Risk paths | |
dc.subject.keyword | Risk prevention | |
dc.subject.keyword | Risk sources | |
dc.subject.keyword | Safety risks | |
dc.subject.other | accident | |
dc.subject.other | construction industry | |
dc.subject.other | occupational exposure | |
dc.subject.other | risk factor | |
dc.subject.other | safety | |
dc.subject.other | workplace | |
dc.subject.other | accident | |
dc.subject.other | Africa | |
dc.subject.other | article | |
dc.subject.other | employee | |
dc.subject.other | government | |
dc.subject.other | human | |
dc.subject.other | human experiment | |
dc.subject.other | offender | |
dc.subject.other | quantitative analysis | |
dc.subject.other | questionnaire | |
dc.subject.other | risk factor | |
dc.subject.other | risk management | |
dc.subject.other | structural equation modeling | |
dc.subject.other | theoretical study | |
dc.subject.other | worker | |
dc.subject.other | Africa | |
dc.subject.other | building industry | |
dc.subject.other | China | |
dc.subject.other | occupational health | |
dc.subject.other | safety | |
dc.subject.other | Africa | |
dc.subject.other | Africa | |
dc.subject.other | China | |
dc.subject.other | Construction Industry | |
dc.subject.other | Humans | |
dc.subject.other | Occupational Health | |
dc.subject.other | Risk Factors | |
dc.subject.other | Safety Management | |
dc.title | Identifying the non-traditional safety risk paths of employees from chinese international construction companies in Africa | |
dc.type | info:eu-repo/semantics/article | |
dc.version.type | info:eu-repo/semantics/publishedVersion | |
dc.volume.number | 18 | |
dspace.entity.type | Publication | |
person.identifier.scopus-author-id | 57221983711 | |
person.identifier.scopus-author-id | 57226359478 | |
person.identifier.scopus-author-id | 57221978866 | |
person.identifier.scopus-author-id | 36841916200 |
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