Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts

About a third of development projects fail to achieve satisfactory outcomes, according to agencies' independent evaluation units. To a large extent, these outcomes appear to be baked into projects at their inception due to inadequate project d...

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Main Authors:	Chomitz, Kenneth, Koenig, Pierre-Yves, Melancon, Guy, Renoust, Benjamin
Format:	Working Paper
Language:	English en_US
Published:	World Bank, Washington, DC 2016
Subjects:	PROJECT MANAGEMENT COMMUNITIES SUPERVISION ACCOUNTING INSPECTION ECONOMETRIC ANALYSIS SOFTWARE RESULTS SEARCH DESCRIPTION INTEREST VALUE DEVELOPMENT BANKS BANK PROJECT MONITORING NETWORKS EVALUATION GUIDELINES INFORMATION NETWORK MODEL MANAGEMENT SYSTEM MONITORING IMPLEMENTING AGENCY MENU STANDARD FORMAT AGRICULTURE YOUTH INCENTIVES TRANSMISSION FISCAL YEAR VARIABLES PROJECTS PROJECT MARKET MULTILATERAL DEVELOPMENT BANKS QUALITY PILOT PROJECTS ADMINISTRATION OPEN ACCESS RESULT TARGETING ECONOMIC DEVELOPMENT DEVELOPMENT ICR THEORY INFLUENCE BUSINESS NETWORK STATISTICS EVALUATION BANDWIDTH RISK MULTIVARIATE ANALYSIS DESCRIPTIVE STATISTICS OPEN-SOURCE SOFTWARE FAILURES LENDING CRITERIA SOFTWARE PACKAGE PROJECT EVALUATION INTERVENTIONS LEARNING DATA ACCESS RESEARCH DONOR AGENCY DEVELOPMENT PROJECTS DATABASE OUTCOMES ADB DATA ANALYSIS GOVERNMENTS SAFETY TARGET FINANCE DEVELOPMENT POLICY DESIGN BANKS
Online Access:	http://documents.worldbank.org/curated/en/2016/03/26077053/survival-fittest-using-network-methods-assess-diffusion-project-design-concepts http://hdl.handle.net/10986/24144

id	okr-10986-24144
recordtype	oai_dc
spelling	okr-10986-241442021-04-23T14:04:19Z Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts Chomitz, Kenneth Koenig, Pierre-Yves Melancon, Guy Renoust, Benjamin PROJECT MANAGEMENT COMMUNITIES SUPERVISION ACCOUNTING INSPECTION ECONOMETRIC ANALYSIS SOFTWARE RESULTS SEARCH DESCRIPTION INTEREST VALUE DEVELOPMENT BANKS BANK PROJECT MONITORING NETWORKS EVALUATION GUIDELINES INFORMATION NETWORK MODEL MANAGEMENT SYSTEM MONITORING IMPLEMENTING AGENCY MENU STANDARD FORMAT AGRICULTURE YOUTH INCENTIVES TRANSMISSION FISCAL YEAR VARIABLES PROJECTS PROJECT MARKET MULTILATERAL DEVELOPMENT BANKS QUALITY PILOT PROJECTS ADMINISTRATION OPEN ACCESS RESULT TARGETING ECONOMIC DEVELOPMENT DEVELOPMENT ICR THEORY INFLUENCE BUSINESS NETWORK STATISTICS EVALUATION BANDWIDTH RISK MULTIVARIATE ANALYSIS DESCRIPTIVE STATISTICS OPEN-SOURCE SOFTWARE FAILURES LENDING CRITERIA SOFTWARE PACKAGE PROJECT EVALUATION INTERVENTIONS LEARNING DATA ACCESS RESEARCH DONOR AGENCY DEVELOPMENT PROJECTS DATABASE OUTCOMES ADB DATA ANALYSIS GOVERNMENTS SAFETY TARGET FINANCE DEVELOPMENT POLICY DESIGN BANKS About a third of development projects fail to achieve satisfactory outcomes, according to agencies' independent evaluation units. To a large extent, these outcomes appear to be baked into projects at their inception due to inadequate project design or relevance. This prompts questions about the diffusion of project design concepts: To what extent are better-designed or better-performing projects more likely to be emulated? Do factors of bureaucratic or political attractiveness -- such as ease of set-up and rapidity of disbursement -- play a role? To address these questions, this paper explores the use of methods from network science. It constructs a network graph of the relationship among the components of all World Bank investment projects initiated from 1996 to 2014, based on the semantic similarity of the component descriptions. It uses the network to assess the characteristics of projects that are more 'prolific' in the sense of having closely related followers, and as tool for visualizing diffusion of design concepts. This illustrative exercise defines a measures of project 'influence' on subsequent projects and tests simple, nonexclusive hypotheses about the determinants of influence. It finds no significant impact of project outcome or quality of entry (as independently rated) on 'influence.' Nor does ease of project preparation (as proxied by time from concept note to effectiveness) have any significant effect. However, very small projects (less than $10 million) have markedly lower 'influence' on average. This finding may have implications for the usefulness of small projects as pilots for subsequent scale up. 2016-04-26T16:02:53Z 2016-04-26T16:02:53Z 2016-03 Working Paper http://documents.worldbank.org/curated/en/2016/03/26077053/survival-fittest-using-network-methods-assess-diffusion-project-design-concepts http://hdl.handle.net/10986/24144 English en_US Policy Research Working Paper;No. 7601 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	PROJECT MANAGEMENT COMMUNITIES SUPERVISION ACCOUNTING INSPECTION ECONOMETRIC ANALYSIS SOFTWARE RESULTS SEARCH DESCRIPTION INTEREST VALUE DEVELOPMENT BANKS BANK PROJECT MONITORING NETWORKS EVALUATION GUIDELINES INFORMATION NETWORK MODEL MANAGEMENT SYSTEM MONITORING IMPLEMENTING AGENCY MENU STANDARD FORMAT AGRICULTURE YOUTH INCENTIVES TRANSMISSION FISCAL YEAR VARIABLES PROJECTS PROJECT MARKET MULTILATERAL DEVELOPMENT BANKS QUALITY PILOT PROJECTS ADMINISTRATION OPEN ACCESS RESULT TARGETING ECONOMIC DEVELOPMENT DEVELOPMENT ICR THEORY INFLUENCE BUSINESS NETWORK STATISTICS EVALUATION BANDWIDTH RISK MULTIVARIATE ANALYSIS DESCRIPTIVE STATISTICS OPEN-SOURCE SOFTWARE FAILURES LENDING CRITERIA SOFTWARE PACKAGE PROJECT EVALUATION INTERVENTIONS LEARNING DATA ACCESS RESEARCH DONOR AGENCY DEVELOPMENT PROJECTS DATABASE OUTCOMES ADB DATA ANALYSIS GOVERNMENTS SAFETY TARGET FINANCE DEVELOPMENT POLICY DESIGN BANKS
spellingShingle	PROJECT MANAGEMENT COMMUNITIES SUPERVISION ACCOUNTING INSPECTION ECONOMETRIC ANALYSIS SOFTWARE RESULTS SEARCH DESCRIPTION INTEREST VALUE DEVELOPMENT BANKS BANK PROJECT MONITORING NETWORKS EVALUATION GUIDELINES INFORMATION NETWORK MODEL MANAGEMENT SYSTEM MONITORING IMPLEMENTING AGENCY MENU STANDARD FORMAT AGRICULTURE YOUTH INCENTIVES TRANSMISSION FISCAL YEAR VARIABLES PROJECTS PROJECT MARKET MULTILATERAL DEVELOPMENT BANKS QUALITY PILOT PROJECTS ADMINISTRATION OPEN ACCESS RESULT TARGETING ECONOMIC DEVELOPMENT DEVELOPMENT ICR THEORY INFLUENCE BUSINESS NETWORK STATISTICS EVALUATION BANDWIDTH RISK MULTIVARIATE ANALYSIS DESCRIPTIVE STATISTICS OPEN-SOURCE SOFTWARE FAILURES LENDING CRITERIA SOFTWARE PACKAGE PROJECT EVALUATION INTERVENTIONS LEARNING DATA ACCESS RESEARCH DONOR AGENCY DEVELOPMENT PROJECTS DATABASE OUTCOMES ADB DATA ANALYSIS GOVERNMENTS SAFETY TARGET FINANCE DEVELOPMENT POLICY DESIGN BANKS Chomitz, Kenneth Koenig, Pierre-Yves Melancon, Guy Renoust, Benjamin Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts
relation	Policy Research Working Paper;No. 7601
description	About a third of development projects fail to achieve satisfactory outcomes, according to agencies' independent evaluation units. To a large extent, these outcomes appear to be baked into projects at their inception due to inadequate project design or relevance. This prompts questions about the diffusion of project design concepts: To what extent are better-designed or better-performing projects more likely to be emulated? Do factors of bureaucratic or political attractiveness -- such as ease of set-up and rapidity of disbursement -- play a role? To address these questions, this paper explores the use of methods from network science. It constructs a network graph of the relationship among the components of all World Bank investment projects initiated from 1996 to 2014, based on the semantic similarity of the component descriptions. It uses the network to assess the characteristics of projects that are more 'prolific' in the sense of having closely related followers, and as tool for visualizing diffusion of design concepts. This illustrative exercise defines a measures of project 'influence' on subsequent projects and tests simple, nonexclusive hypotheses about the determinants of influence. It finds no significant impact of project outcome or quality of entry (as independently rated) on 'influence.' Nor does ease of project preparation (as proxied by time from concept note to effectiveness) have any significant effect. However, very small projects (less than $10 million) have markedly lower 'influence' on average. This finding may have implications for the usefulness of small projects as pilots for subsequent scale up.
format	Working Paper
author	Chomitz, Kenneth Koenig, Pierre-Yves Melancon, Guy Renoust, Benjamin
author_facet	Chomitz, Kenneth Koenig, Pierre-Yves Melancon, Guy Renoust, Benjamin
author_sort	Chomitz, Kenneth
title	Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts
title_short	Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts
title_full	Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts
title_fullStr	Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts
title_full_unstemmed	Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts
title_sort	survival of the fittest? : using network methods to assess the diffusion of project design concepts
publisher	World Bank, Washington, DC
publishDate	2016
url	http://documents.worldbank.org/curated/en/2016/03/26077053/survival-fittest-using-network-methods-assess-diffusion-project-design-concepts http://hdl.handle.net/10986/24144
_version_	1764455764791918592

Survival of the Fittest? : Using Network Methods to Assess the Diffusion of Project Design Concepts

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