TY - BOOK
T1 - Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics
AU - WALKER, Richard M.
AU - ZHANG, Jiasheng
AU - CHANDRA, Yanto
PY - 2024/12/31
Y1 - 2024/12/31
N2 - 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).
AB - 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).
KW - public administration
KW - topics
KW - computational social science
KW - corpus linguistics
KW - time
UR - http://www.cambridge.org/9781009571982
U2 - 10.1017/9781009378697
DO - 10.1017/9781009378697
M3 - Book (Author)
SN - 9781009571982
SN - 9781009378710
T3 - Elements in Public and Nonprofit Administration
BT - Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics
PB - Cambridge University Press
ER -