The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Institutions, Policy Innovation, and E‐Government in the American States
Abstract
Examining the rankings of American states in one fast‐growing policy area, e‐government, states with the most sophisticated and comprehensive policies varied over a five‐year period. What factors account for change in digital government policy innovation over time? Using time‐series analysis and 50‐state data, the authors find that state institutional capacity is important for continued innovation. They also find an association between reinvention in state governments and the institutionalization of information technology, suggesting a more general orientation toward government reform and modernization. Although state wealth and education were not significant in previous studies, they emerge as predictors of later innovation. The theoretical contribution of this study is to better understand the dynamic character of innovation over time and the role of institutions. The link between reinvention and e‐government raises the possibility that the modernization of state institutions generally facilitates innovation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
What To Do (and Not to Do) with Time-Series Cross-Section Data
Beck, N., & Katz, J. N. (1995) · American Political Science Review · doi:10.2307/2082979 · Cited by 6,840
Digital Divide: Civic Engagement, Information Poverty, and the Internet Worldwide
Norris, P. (2001) · doi:10.1017/cbo9781139164887 · Cited by 2,921
Linking citizen satisfaction with e-government and trust in government
Welch, E. W. (2004) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mui021 · Cited by 1,222
The Effects of E‐Government on Trust and Confidence in Government
Tolbert, C. J., & Mossberger, K. (2006) · Public Administration Review · doi:10.1111/j.1540-6210.2006.00594.x · Cited by 1,092
Self-citationInformation and American Democracy: Technology in the Evolution of Political Power
Bimber, B. (2003) · doi:10.1017/cbo9780511615573 · Cited by 526
A Racial/Ethnic Diversity Interpretation of Politics and Policy in the States of the U.S.
Hero, R. E., & Tolbert, C. J. (1996) · American Journal of Political Science · doi:10.2307/2111798 · Cited by 325
Self-citation
Cited by
INNOVATION IN THE PUBLIC SECTOR: A SYSTEMATIC REVIEW AND FUTURE RESEARCH AGENDA
DE VRIES, H., BEKKERS, V., & TUMMERS, L. (2016) · Public Administration · doi:10.1111/padm.12209 · Cited by 1,214
Digitally-induced change in the public sector: a systematic review and research agenda
Haug, N., Dan, S., & Mergel, I. (2024) · Public Management Review · doi:10.1080/14719037.2023.2234917 · Cited by 266
Serving Clients When the Server Crashes: How Frontline Workers Cope with E‐Government Challenges
Tummers, L., & Rocco, P. (2015) · Public Administration Review · doi:10.1111/puar.12379 · Cited by 96
Hwang, K., & Choi, M. (2017) · Government Information Quarterly · doi:10.1016/j.giq.2017.02.001 · Cited by 85
Does E-Government Raise Effectiveness and Efficiency?: Examining the Cross-National Effect
Nam, T. (2019) · Journal of Global Information Management · doi:10.4018/jgim.2019070107 · Cited by 53
Metadata
- Authors
- Tolbert, C. J., Mossberger, K., & McNeal, R.
- Venue
- Public Administration Review
- Publisher
- Wiley
- Published
- 2008-03-24
- Volume
- 68
- Issue
- 3
- Pages
- 549-563
- ISSN
- 0033-3352 (ISSN-L)
- 1540-6210
- OpenAlex
- W2002704118
- Cited by
- 372
- References
- 6
- FWCI
- 98.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Institutions, Policy Innovation, and E‐Government in the American States. https://app.cochat.ai/papers/10.1111/j.1540-6210.2008.00890.x
- The paper
- Tolbert, C. J., Mossberger, K., & McNeal, R. (2008). Institutions, Policy Innovation, and E‐Government in the American States. Public Administration Review. https://doi.org/10.1111/j.1540-6210.2008.00890.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.