Academic Journal
Insights and future directions for systems and complexity‐informed evaluation.
| Τίτλος: | Insights and future directions for systems and complexity‐informed evaluation. |
|---|---|
| Συγγραφείς: | Walton, Mat, Gates, Emily F., Vidueira, Pablo |
| Πηγή: | New Directions for Evaluation; Jun2021, Vol. 2021 Issue 170, p159-171, 13p |
| Θεματικοί όροι: | Systems theory, Complexity (Philosophy) |
| Περίληψη: | With the increasing maturity of systems thinking and complexity science (STCS) within evaluation, this issue of NDE provides case examples of contemporary application. This article identifies themes across case examples to identify emergent patterns and opportunities for the continued development of evaluation practices that draw upon STCS. Each article describes STCS and its applications within specific evaluation contexts. Our review across cases identified three themes: (1) the importance of setting boundaries around what is included and excluded from within the STCS field in a specific evaluation; (2) using STCS concepts and theories to enhance program and evaluation theory, and (3) broadly drawing upon STCS to support changes in systems and develop capacity within organizations. While these implications show some promise for systems and complexity informed evaluation, they, more importantly, underscore the need for deeper engagement with STCS theories and methods while simultaneously remaining accessible for evaluators. [ABSTRACT FROM AUTHOR] |
| Copyright of New Directions for Evaluation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Insights and future directions for systems and complexity‐informed evaluation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Walton%2C+Mat%22">Walton, Mat</searchLink><br /><searchLink fieldCode="AR" term="%22Gates%2C+Emily+F%2E%22">Gates, Emily F.</searchLink><br /><searchLink fieldCode="AR" term="%22Vidueira%2C+Pablo%22">Vidueira, Pablo</searchLink> – Name: TitleSource Label: Source Group: Src Data: New Directions for Evaluation; Jun2021, Vol. 2021 Issue 170, p159-171, 13p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Complexity+%28Philosophy%29%22">Complexity (Philosophy)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the increasing maturity of systems thinking and complexity science (STCS) within evaluation, this issue of NDE provides case examples of contemporary application. This article identifies themes across case examples to identify emergent patterns and opportunities for the continued development of evaluation practices that draw upon STCS. Each article describes STCS and its applications within specific evaluation contexts. Our review across cases identified three themes: (1) the importance of setting boundaries around what is included and excluded from within the STCS field in a specific evaluation; (2) using STCS concepts and theories to enhance program and evaluation theory, and (3) broadly drawing upon STCS to support changes in systems and develop capacity within organizations. While these implications show some promise for systems and complexity informed evaluation, they, more importantly, underscore the need for deeper engagement with STCS theories and methods while simultaneously remaining accessible for evaluators. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of New Directions for Evaluation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=152207945 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/ev.20459 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 159 Subjects: – SubjectFull: Systems theory Type: general – SubjectFull: Complexity (Philosophy) Type: general Titles: – TitleFull: Insights and future directions for systems and complexity‐informed evaluation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Walton, Mat – PersonEntity: Name: NameFull: Gates, Emily F. – PersonEntity: Name: NameFull: Vidueira, Pablo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 10976736 Numbering: – Type: volume Value: 2021 – Type: issue Value: 170 Titles: – TitleFull: New Directions for Evaluation Type: main |
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