Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews
Systematic Science Mapping (SSM) is a novel mixed methods research (MMR) design for literature reviews of large scale, thousands of publications, including entire scientific fields. SSM establishes a “big picture” view of a field’s evolution, a thematic analysis of the research in a field, and synth...
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| Định dạng: | Online |
| Ngôn ngữ: | Tiếng Anh |
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Edward Elgar Publishing
2023
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://directory.doabooks.org/handle/20.500.12854/128170 |
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| _version_ | 1869523858845859840 |
|---|---|
| author | Herrmann, Heinz |
| author_browse | Herrmann, Heinz |
| author_facet | Herrmann, Heinz |
| author_sort | Herrmann, Heinz |
| collection | Directory of Open Access Books |
| description | Systematic Science Mapping (SSM) is a novel mixed methods research (MMR) design for literature reviews of large scale, thousands of publications, including entire scientific fields. SSM establishes a “big picture” view of a field’s evolution, a thematic analysis of the research in a field, and synthesizes findings even in the presence of conceptual overlaps or inconsistencies. An overview of its roots in systematic literature reviews (SLRs) and science mapping is presented first before integrating them in a sequential mixed models design. Then, the application of SSM is illustrated in the field of responsible artificial intelligence (RAI). Evolutionary maps are presented as a tool for visualising the semantic drift of ethical principles over time. Based on “thick data”, SSM shows a way of emphasising commonalities over differences for reducing the academic-to-practice gap in RAI. Guiding notes are provided to those who may wish to employ this MMR design. |
| format | Online |
| id | doab-20.500.12854ir-128170 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Edward Elgar Publishing |
| publisherStr | Edward Elgar Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1281702023-11-27T13:01:58Z Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews Herrmann, Heinz Mixed methods research; Sequential mixed models; Systematic literature review; Science mapping; Artificial intelligence; Ethics GPS Systematic Science Mapping (SSM) is a novel mixed methods research (MMR) design for literature reviews of large scale, thousands of publications, including entire scientific fields. SSM establishes a “big picture” view of a field’s evolution, a thematic analysis of the research in a field, and synthesizes findings even in the presence of conceptual overlaps or inconsistencies. An overview of its roots in systematic literature reviews (SLRs) and science mapping is presented first before integrating them in a sequential mixed models design. Then, the application of SSM is illustrated in the field of responsible artificial intelligence (RAI). Evolutionary maps are presented as a tool for visualising the semantic drift of ethical principles over time. Based on “thick data”, SSM shows a way of emphasising commonalities over differences for reducing the academic-to-practice gap in RAI. Guiding notes are provided to those who may wish to employ this MMR design. Published 2023-11-27T13:01:49Z 2023-11-27T13:01:49Z 2023-10-20 chapter 9781800887954 https://directory.doabooks.org/handle/20.500.12854/128170 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.e-elgar.com/shop/gbp/handbook-of-mixed-methods-research-in-business-and-management-9781800887947.html https://www.elgaronline.com/edcollchap-oa/book/9781800887954/book-part-9781800887954-34.xml Edward Elgar Publishing Edward Elgar Publishing 10.4337/9781800887954.00034 10.4337/9781800887954.00034 01ceac28-75b4-492a-8eec-f9b98bc6b28c https://creativecommons.org/licenses/by-nc-nd/4.0/ 9781800887954 Edward Elgar Publishing Cheltenham, UK open access |
| spellingShingle | Mixed methods research; Sequential mixed models; Systematic literature review; Science mapping; Artificial intelligence; Ethics GPS Herrmann, Heinz Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews |
| title | Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews |
| title_full | Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews |
| title_fullStr | Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews |
| title_full_unstemmed | Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews |
| title_short | Chapter 24: Introducing the systematic science mapping framework: an innovative and mixed approach for macro scale reviews |
| title_sort | chapter 24 introducing the systematic science mapping framework an innovative and mixed approach for macro scale reviews |
| topic | Mixed methods research; Sequential mixed models; Systematic literature review; Science mapping; Artificial intelligence; Ethics GPS |
| topic_facet | Mixed methods research; Sequential mixed models; Systematic literature review; Science mapping; Artificial intelligence; Ethics GPS |
| url | https://directory.doabooks.org/handle/20.500.12854/128170 |
| work_keys_str_mv | AT herrmannheinz chapter24introducingthesystematicsciencemappingframeworkaninnovativeandmixedapproachformacroscalereviews |