Premium
Emergent conditions and multiple criteria analysis in infrastructure prioritization for developing countries
Author(s) -
Karvetski Christopher W.,
Lambert James H.,
Linkov Igor
Publication year - 2009
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.444
Subject(s) - stakeholder , function (biology) , scenario planning , prioritization , multiple criteria decision analysis , developing country , variety (cybernetics) , set (abstract data type) , resource (disambiguation) , weighting , computer science , business , management science , process management , operations research , engineering , economics , marketing , computer network , management , evolutionary biology , artificial intelligence , biology , programming language , economic growth , medicine , radiology
With coordinated military and civil operations in developing countries, the integration of local stakeholder values with the goals of security and nation building is crucial. Such integration encourages innovative and effective courses of action and prioritization of resources. Although tools of multi‐criteria decision analysis are well suited for resource prioritization, designing practical stakeholder value judgment elicitation in developing countries is a challenge because of cultural, organizational, and other barriers. Specifically, the weight of individual decision criteria can increase or decrease when diverse scenarios of emergent conditions are introduced or advocated by various stakeholders. This article develops methodology to identify the most important emergent conditions for infrastructure planning among a set of scenarios involving military and civil stakeholders. Across the infrastructure development alternatives, we identify scenarios that represent opportunities and those that represent threats. We adapt the framework of the swing weighting method for recalibration of a baseline value function with a variety of assumptions of scenarios, where each scenario is composed of one or more emergent conditions. The approach reduces the typical demand on stakeholders for elicitation of preference weights, as the entire value function is not entirely reconstructed per scenario. The approach and methodology were tested in a strategy workshop with more than 50 international participants and presented to ministry officials in a developing country. The testing integrated political, economic, environmental, and technology emergent conditions for prioritizing among infrastructure projects. Copyright © 2010 John Wiley & Sons, Ltd.