RISK MANAGEMENT OF INFRASTRUCTURE PROJECTS BY ODA BASED ON CASE ANALYSIS IN INDIA

2021 ◽  
Vol 77 (1) ◽  
pp. 57-68
Author(s):  
Keita NAKASU ◽  
Kazuyuki MOTOHASHI ◽  
Kazumasa OZAWA
Keyword(s):  
Risk Management ◽  
Case Analysis ◽  
Infrastructure Projects

RISK MANAGEMENT IN PUBLIC-PRIVATE PARTNERSHIP AND OTHER MAJOR INFRASTRUCTURE PROJECTS

EDPACS ◽  
2021 ◽  
Vol 63 (5) ◽  
pp. 6-19
Author(s):  
Alex Sidorenko ◽  
Vladimir Kilinkarov ◽  
Alexey Belkov
Keyword(s):  
Risk Management ◽  
Public Private Partnership ◽  
Infrastructure Projects ◽  
Private Partnership

Risman, a Method for Risk Management of Large Infrastructure Projects

1997 ◽  
pp. 265-272
Author(s):  
W.G. de Rijke ◽  
M.R. van der Does de Bye ◽  
R. Buvelot ◽  
J.K. Vrijling
Keyword(s):  
Risk Management ◽  
Infrastructure Projects

Barriers to multi-tier supply chain risk management

2020 ◽  
Vol 31 (3) ◽  
pp. 465-487
Author(s):  
Liyuan Wang-Mlynek ◽  
Kai Foerstl
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information And Communication Technologies ◽  
Strategic Alliances ◽  
Case Analysis ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
High Dependency ◽  
Civil Aircraft

PurposeMulti-tier supply chain risk management (MSCRM) is an evolving and dynamic field, as any defaults or glitches in supply chains can potentially harm the efficiency and competitiveness of the entire supply chain. This study aims to investigate barriers to MSCRM in the automotive and civil aircraft industries.Design/methodology/approachThis study adopts an inductive case study research design. The case analysis includes two parts. First, the within-case analysis develops case profiles and identifies critical categories. Second, the cross-case analysis compares MSCRM patterns across the cases.FindingsThis study argues that narrow information sharing and communication covering only the immediate supply chain partners obstruct the efficiency of MSCRM. Similarly, high dependency on strategic alliances with suppliers hinders efficient MSCRM. Additionally, relying on information and communication technologies (ICT) increases companies' exposure to risks and poses another barrier to efficient MSCRM.Research limitations/implicationsFurther research should be pursued to expand generalizability and test the validity of the findings using other forms of data collection and methodologies, such as large-scale surveys, experiments or secondary data across different sectors and typical supply networks.Practical implicationsThis study provides empirical evidence on the obstacles faced by companies during the process of MSCRM. These findings can guide practitioners in developing initiatives to overcome these challenges.Originality/valueThis study is among the first to investigate the barriers to MSCRM in the automotive and civil aircraft industries using in-depth case studies across three tiers of the supply chain.

scholarly journals INTERNAL AND EXTERNAL RISK BASED ASSESMENT AND EVALUATION FOR THE LARGE INFRASTRUCTURE PROJECTS

2016 ◽  
Vol 22 (5) ◽  
pp. 673-682 ◽  
Author(s):  
Ivana BURCAR DUNOVIC ◽  
Mladen RADUJKOVIC ◽  
Mladen VUKOMANOVIC
Keyword(s):  
Risk Management ◽  
Risk Model ◽  
Uncertainty Management ◽  
Cumulative Distribution ◽  
Infrastructure Projects ◽  
Assessment And Evaluation ◽  
Project Assessment ◽  
Execution Phase ◽  
Impact Modelling ◽  
External Risk

The level of sensitivity to project success of large infrastructure projects is significantly greater in front-phase than in execution phase. Yet, due to focus on execution phase, methods for project assessment and on-going evaluation during front phases are insufficiently developed. On the other hand, risk management approaches has been moved from risk management towards holistic uncertainty management which is the most beneficial in front end phase of the project. This research identifies that majority of methods and techniques available does not support uncertainty management concept. The purpose of this paper is to develop and new method for risk based project assessment and evaluation inte­grating risk impact modelling using cumulative distribution curves (CDC) and multi-criteria project evaluation approach. Research is based on in-depth risk analysis of 15 large infrastructure projects using risk model of components and char­acteristics. The conclusion of the paper is verification and validation of method that combines qualitative and quantita­tive analysis using risk components, risk breakdown structure, AHP method and risk impact modelling using cumulative distribution curves (CDC) for internal and external risk based assessment and evaluation of large infrastructure projects.

Geohazard risk management for infrastructure projects

2006 ◽  
Vol 159 (6) ◽  
pp. 28-34 ◽  
Author(s):  
Matthew Free ◽  
Sara Anderson ◽  
Charles Milloy ◽  
Juliet Mian
Keyword(s):  
Risk Management ◽  
Infrastructure Projects ◽  
Geohazard Risk
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