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A systems‐theoretical exploration for understanding and enhancing policy design

Expanding an analytical locus with implications for policy studies

Bibliographic Data

ID7169246
AuthorsGuswin De Wee (0000-0002-1249-1121, Nelson Mandela University Port Elizabeth South Africa, corresponding author), Kwame Asmah‐Andoh (Nelson Mandela University Port Elizabeth South Africa), Amina Jakoet‐salie (0000-0002-1479-7255, Nelson Mandela University Port Elizabeth South Africa)
Year2025
Volume42
Issue6
Pages1564-1577
Publication date2025-11-01
Open AccessYes
TypeARTICLE
VenueSystems Research and Behavioral Science (JOURNAL)
Journal identifiersISSN: 1092-7026 • E-ISSN: 1099-1743
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sres.3044
OpenAlexW4400665338
LanguageEN
References cited52

Policy design has two analytical domains, policy design‐as‐formulation and policy design‐as‐content. The latter study policies as codified and constructed output of the formulation process, which is an activity directed to the process. The analytical concept ‘structural logic’ emerged as an internal property of policy text and has been understudied, perhaps because of the lack of methods and understanding. The paper is a systems‐theoretic exploration of systems assumptions and policy designs. The paper contributes to the theoretical underpinnings of the nature of policy design (as conceptual systems) and how systems‐based assumptions can help understand structural logic by providing a locus for studying and measuring policy element interaction. Findings suggest that it is in the interactions of those elements and connections (policy statements/propositions/directives), corresponding to the causal relations in the real world wherein the effectiveness of policy designs lies (level of structure). The exploration posits that the deep structural similarities between the domains of systems are so ecologically parallel that the insights from one system allows for similarities to be exploited and transferred to understanding the other. The paper provides insights for overcoming policy design limitations and a new way for studying policy element interaction for improving its effects in policy implementation

Biology · Business · Management science · Community Health and Development · Complex Systems and Decision Making · Computer Science · Engineering · Evaluation and Performance Assessment

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