Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics

Richard M. WALKER*, Jiasheng ZHANG, Yanto CHANDRA

*Corresponding author for this work

Research output: Scholarly Books | Reports | Literary WorksBook (Author)peer-review

Abstract

This inductive examination of the topics in the public administration literature using computational social science and corpus linguistics (N = 12,760 articles) reveals a new landscape of public administration topics, changes in topics over time and their distribution. The top ten topics include healthcare, federal government, performance management, environmental regulation, and HRM accounting for just over a third of scholarship between 1991 and 2019. The 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 to concepts such as governance, networks and citizens. Analysis of the World Bank Governance Indicators indicated that lower scoring countries placed a greater emphasis on structures, while research in countries with higher scores emphasised management and governance.
Original languageEnglish
PublisherCambridge University Press
ISBN (Electronic)9781009378697
ISBN (Print)9781009571982, 9781009378710
DOIs
Publication statusPublished - 31 Dec 2024
Externally publishedYes

Publication series

NameElements in Public and Nonprofit Administration
PublisherCambridge University Press
ISSN (Print)2515-429X
ISSN (Electronic)2515-4303

Keywords

  • public administration
  • topics
  • computational social science
  • corpus linguistics
  • time

Fingerprint

Dive into the research topics of 'Topics in Public Administration: Perspectives from Computational Social Sciences and Corpus Linguistics'. Together they form a unique fingerprint.

Cite this