The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Three‐Stage Adoption Process for Social Media Use in Government
Open accessAbstract
Social media applications are slowly diffusing across all levels of government. The organizational dynamics underlying adoption and use decisions follow a process similar to that for previous waves of new information and communication technologies. The authors suggest that the organizational diffusion of these types of new information and communication technologies, initially aimed at individual use and available through markets, including social media applications, follows a three‐stage process. First, agencies experiment informally with social media outside of accepted technology use policies. Next, order evolves from the first chaotic stage as government organizations recognize the need to draft norms and regulations. Finally, organizational institutions evolve that clearly outline appropriate behavior, types of interactions, and new modes of communication that subsequently are formalized in social media strategies and policies. For each of the stages, the authors provide examples and a set of propositions to guide future research.
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
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Orlikowski, W. J. (2000) · Organization Science · doi:10.1287/orsc.11.4.404.14600 · Cited by 4,760
Bertot, J. C., Jaeger, P. T., & Grimes, J. M. (2010) · Government Information Quarterly · doi:10.1016/j.giq.2010.03.001 · Cited by 2,451
Research works printed but not linked: 42
- 10.1108/17506161211214831 · DOI · Paper page
- 10.1016/0040-1625(94)90001-9 · DOI
- Bretschneider Stuart I., 2010, The State of Public Administration: Issues, Problems and Challenges, 187
- 10.1287/isre.4.1.88 · DOI
- Caves Richard E., 1998, Industrial Organization and New Findings on Turnover and Mobility of Firms, Journal of Economic Literature, 36, 1947
- 10.1111/j.1540-6210.2008.00888.x · DOI · Paper page
- 10.1145/32206.32213 · DOI
- 10.2307/249095 · DOI
- 10.1287/mnsc.24.10.1064 · DOI · Paper page
- Fountain Jane E., 2001, Building the Virtual State: Information Technology and Institutional Change
- Garson G. David, 2006, Public Information Technology and E‐Governance: Managing the Virtual State
- Godwin Bev, 2008, Social Media and the Federal Government: Perceived and Real Barriers and Potential Solutions
- 10.1177/1532673X9702500405 · DOI
- 10.1287/orsc.6.4.373 · DOI · Paper page
- 10.1093/jopart/mug033 · DOI
- 10.1145/2037556.2037574 · DOI
- 10.1145/358189.358074 · DOI · Paper page
- Kraemer Kenneth, 2003, Information Technology and Administrative Reform: Will the Time after E‐Government Be Different? Paper presented at the Heinrich Reinermann Schrift Fest, Post Graduate School of Administration, September 29
- 10.1016/S0740-624X(01)00066-1 · DOI · Paper page
- 10.1080/19331681.2011.536416 · DOI
- 10.2307/248873 · DOI · Paper page
- Mergel Ines, 2011, of Public Administration, Public Management, and Public Service around the World, edited by Rosemary O'Leary, Soonhee Kim, and David Van Slyke, 177
- Mergel Ines, 2012, Social Media in the Public Sector: Participation, Collaboration, and Transparency in the Networked World
- Mergel Ines, 2012, Working the Nework: A Manager's Guide for Using Twitter in the Public Sector
- Neil Suzanne, 1995, edited by Brian Kahin and Janet Abbate, 276
- 10.1145/362280.362284 · DOI · Paper page
- Noveck Beth Simone, 2009, Wiki Government: How Technology Can Make Government Better, Democracy Stronger, and Citizens More Powerful
- O'Reilly Tim.2005.What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. September 30.http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html[accessed January 20 2013].
- Oxley Alan, 2011, A Best Practices Guide for Mitigating Risk in the Use of Social Media
- Rogers Everett M., 1995, Diffusion of Innovations
- Rogers Everett M., 1981, Communication Networks: Toward a New Paradigm for Research
- Rogers Everett M., 1971, Communication of Innovations: A Cross‐Cultural Approach
- Schumpeter Joseph A., 1934, The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle
- Smith Aaron, 2009, The Internet's Role in the Campaign 2008
- 10.1287/mnsc.32.11.1492 · DOI · Paper page
- 10.2307/249575 · DOI
- 2011, Challenges in Federal Agencies’ Use of Web 2.0 Technologies
- 10.1145/2307729.2307745 · DOI
- 10.1016/0378-8733(95)00256-1 · DOI · Paper page
- 10.1177/1075547095016003002 · DOI · Paper page
- 10.1016/j.chb.2004.06.005 · DOI
- Wyld David C., 2007, The Blogging Revolution: Government in the Age of Web 2.0
Cited by
Exploring artificial intelligence adoption in public organizations: a comparative case study
Neumann, O., Guirguis, K., & Steiner, R. (2024) · Public Management Review · doi:10.1080/14719037.2022.2048685 · Cited by 451
“…Davis 2003), and the TOE framework (Tornatzky, Fleischer, and Chakrabarti 1990) – all used to explain different kinds of technology adoption (see e.g. Oliveira and Martins 2011; Ma 2014; Mergel and Bretschneider 2013; Grimmelikhuijsen and Feeney 2017; Demlehner and Laumer 2020; Nam et al. 2020).”
BackgroundE-governance innovation: Barriers and strategies
Meijer, A. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2015.01.001 · Cited by 365
The value of social media for innovation: A capability perspective
Muninger, M.-I., Hammedi, W., & Mahr, D. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.012 · Cited by 277
Defining E‐leadership as Competence in ICT‐Mediated Communications: An Exploratory Assessment
Roman, A. V., Van Wart, M., Wang, X., Liu, C., Kim, S., & McCarthy, A. (2019) · Public Administration Review · doi:10.1111/puar.12980 · Cited by 259
Implementing social media marketing strategically: An empirical assessment
Tafesse, W., & Wien, A. (2018) · Journal of Marketing Management · doi:10.1080/0267257x.2018.1482365 · Cited by 221
Data science, artificial intelligence and the third wave of digital era governance
Dunleavy, P., & Margetts, H. (2023) · doi:10.31219/osf.io/f3rza · Cited by 186
Data science, artificial intelligence and the third wave of digital era governance
Dunleavy, P., & Margetts, H. (2025) · Public Policy and Administration · doi:10.1177/09520767231198737 · Cited by 186
Rogge, N., Agasisti, T., & De Witte, K. (2017) · Public Policy and Administration · doi:10.1177/0952076716687355 · Cited by 98
Khan, A. N., Jabeen, F., Mehmood, K., Ali Soomro, M., & Bresciani, S. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114019 · Cited by 98
Public employees’ use of social media: Its impact on need satisfaction and intrinsic work motivation
Demircioglu, M. A., & Chen, C.-A. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2018.11.008 · Cited by 129
Reddick, C., & Anthopoulos, L. (2014) · Transforming Government: People, Process and Policy · doi:10.1108/tg-01-2014-0001 · Cited by 87
Laenens, W., Van den Broeck, W., & Mariën, I. (2018) · Media and Communication · doi:10.17645/mac.v6i4.1652 · Cited by 17
Metadata
- Authors
- Mergel, I., & Bretschneider, S. I.
- Venue
- Public Administration Review
- Publisher
- Wiley
- Published
- 2013-03-05
- Volume
- 73
- Issue
- 3
- Pages
- 390-400
- ISSN
- 0033-3352 (ISSN-L)
- 1540-6210
- OpenAlex
- W2093234229
- Cited by
- 411
- References
- 3
- FWCI
- 207.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.