Quantitative Risk Analysis for International Project Management and Programs in an Emerging Economy

dc.contributor.author Enyinda, Chris I.
dc.date.accessioned 2022-04-08T06:35:23Z
dc.date.available 2022-04-08T06:35:23Z
dc.date.copyright © 2017
dc.date.issued 2017
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in Springer Proceedings in Business and Economics (2017), available online at: https://doi.org/10.1007/978-3-319-43434-6_69 en_US
dc.description.abstract Historically, international projects are prone to both endogenous and exogenous risks. And the World Bank international projects and programs are not immune to similar risks. What is important though is the ability of project managers to identify the sources of endogenous and exogenous risks and how to leverage proactive or predictive project risk management strategies. Arguably, predictive project risk management is the lifeline for successful projects and programs. Managing portfolio of risks in international projects is imperative for the World Bank’s mission of economic development and poverty eradication in developing countries. Inability to identify sources of risks attached to projects and programs can contribute to missed opportunities. It can also discourage the World Bank and other international agencies from approving or awarding future development projects and programs. Although in spite of the growing menace of risks in development projects and programs, project managers have little or no knowledge of project risk management. This chapter proposes a multi-attribute decision support approach to model and analyze the risk for the World Bank projects and programs in Nigeria. © 2017, Springer International Publishing Switzerland. en_US
dc.identifier.citation Enyinda, C.I. (2017). Quantitative Risk Analysis for International Project Management and Programs in an Emerging Economy. Paper presented at the Springer Proceedings in Business and Economics, 769 - 780. https://doi.org/10.1007/978-3-319-43434-6_69 en_US
dc.identifier.isbn 978-331943433-9
dc.identifier.issn 21987246
dc.identifier.uri http://hdl.handle.net/20.500.12519/531
dc.identifier.uri https://doi.org/10.1007/978-3-319-43434-6_69
dc.language.iso other en_US
dc.publisher Springer Science and Business Media B.V. en_US
dc.relation Authors Affiliations : Enyinda, C.I., Department of Marketing and International Business, School of Business Administration, Canadian University Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries Springer Proceedings in Business and Economics;
dc.rights License to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holder Copyright : © 2017, Springer International Publishing Switzerland.
dc.rights.license License Number: 5275340571892 License date: Mar 24, 2022
dc.rights.uri https://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=a540cef9-5cee-4ebf-a8db-7356942ca5ed
dc.subject International Project Management en_US
dc.subject Nigeria en_US
dc.subject Risk analysis en_US
dc.subject The AHP en_US
dc.subject The World Bank en_US
dc.title Quantitative Risk Analysis for International Project Management and Programs in an Emerging Economy en_US
dc.type Conference Paper en_US
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