Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2024
|
| Schriftenreihe: | Cambridge elements. Elements in public and nonprofit administration
|
| Links: | https://doi.org/10.1017/9781009378697 |
| Zusammenfassung: | This inductive examination of the topics in the public administration literature using computational social science and corpus linguistics (17 journals, N=12,760 articles, 1991-2019) reveals a new landscape of public administration topics, changes in topics over time and their distribution: * Topic modelling of the stock of the whole corpus identifies 50 topics: the top ten topics included health care, federal government, performance management, environmental regulation, HRM and networks and accounted for just over a third of scholarship between 1991-2019. * Focal topics identified in individual journals identified similarities with popular topics in the whole corpus - networks, health care, HRM - and less frequently examined topics including gender and diversity and partnerships. * Analysis of topics over time shows a substantial flow in topics moving from a country and practice focus in the early stages of our study period to concepts such as governance, networks and citizens in the late stages (2015-2019). |
| Umfang: | 1 Online-Ressource (98 Seiten) |
| ISBN: | 9781009378697 |
| ISSN: | 2515-4303 |
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| spelling | Walker, Richard M. Topics in public administration perspectives from computational social sciences and corpus linguistics Richard M. Walker, Jiasheng Zhang, Yanto Chandra Cambridge Cambridge University Press 2024 1 Online-Ressource (98 Seiten) txt c cr Cambridge elements. Elements in public and nonprofit administration 2515-4303 This inductive examination of the topics in the public administration literature using computational social science and corpus linguistics (17 journals, N=12,760 articles, 1991-2019) reveals a new landscape of public administration topics, changes in topics over time and their distribution: * Topic modelling of the stock of the whole corpus identifies 50 topics: the top ten topics included health care, federal government, performance management, environmental regulation, HRM and networks and accounted for just over a third of scholarship between 1991-2019. * Focal topics identified in individual journals identified similarities with popular topics in the whole corpus - networks, health care, HRM - and less frequently examined topics including gender and diversity and partnerships. * Analysis of topics over time shows a substantial flow in topics moving from a country and practice focus in the early stages of our study period to concepts such as governance, networks and citizens in the late stages (2015-2019). Chandra, Yanto Zhang, Jiasheng Erscheint auch als Druck-Ausgabe 9781009378710 Erscheint auch als Druck-Ausgabe 9781009571982 |
| spellingShingle | Walker, Richard M. Topics in public administration perspectives from computational social sciences and corpus linguistics |
| title | Topics in public administration perspectives from computational social sciences and corpus linguistics |
| title_auth | Topics in public administration perspectives from computational social sciences and corpus linguistics |
| title_exact_search | Topics in public administration perspectives from computational social sciences and corpus linguistics |
| title_full | Topics in public administration perspectives from computational social sciences and corpus linguistics Richard M. Walker, Jiasheng Zhang, Yanto Chandra |
| title_fullStr | Topics in public administration perspectives from computational social sciences and corpus linguistics Richard M. Walker, Jiasheng Zhang, Yanto Chandra |
| title_full_unstemmed | Topics in public administration perspectives from computational social sciences and corpus linguistics Richard M. Walker, Jiasheng Zhang, Yanto Chandra |
| title_short | Topics in public administration |
| title_sort | topics in public administration perspectives from computational social sciences and corpus linguistics |
| title_sub | perspectives from computational social sciences and corpus linguistics |
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