Author:
Wallis Steven E.,Wright Bernadette
Abstract
Purpose
Current approaches to understanding and resolving the problem of poverty have not proved effective. This paper aims to provide a new explanation of why we have failed and what must be done to improve our understanding, decision-making, action and success.
Design/methodology/approach
Integrative propositional analysis is used to evaluate and synthesize theoretical and practical perspectives on poverty from five academic disciplines and five disparate organizations.
Findings
Individual theoretical perspectives were found to have low levels of complexity and systemicity.
Research limitations/implications
Clear research directions are shown to accelerate improvements in understanding. Additionally, results may provide a useful guide for developing computer models of poverty.
Practical implications
The causal knowledge map of synthesized theories suggests where practice may be relatively effective and where unanticipated consequences are more likely to occur.
Social implications
Policy decision-making to address the problem of poverty is not likely to lead to successful resolution. Thus, poverty is likely to continue until we develop a more systemic understanding.
Originality/value
This interdisciplinary paper provides a new structural perspective on why we have not been able to solve the poverty problem – and shows how far we have yet to go to reach success.
Subject
Computer Science (miscellaneous),Social Sciences (miscellaneous),Theoretical Computer Science,Control and Systems Engineering,Engineering (miscellaneous)
Cited by
9 articles.
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