Digital Communication of Public Service Information and its Effect on Citizens’ Perception of Received Information

References

• Aguinis, H., & Bradley, K. J. (2014). Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational Research Methods, 17(4), 351–371. doi:10.1177/1094428114547952
   Web of Science ®Google Scholar
• Bürkner, P.-C. (2017). brms: An R package for Bayesian multilevel models using Stan. 80(1), 1–28. doi:10.18637/jss.v080.i01
   Google Scholar
• Dinesen, P. T., & Sønderskov, K. M. (2012). Hvorfor stiger tilliden? Politica, 44(1), 87–110.
   Google Scholar
• Dunleavy, P., Margetts, H., Bastow, S., & Tinkler, J. (2006). New public management is dead—Long live digital-era governance. Journal of Public Administration Research and Theory, 16(3), 467–494. doi:10.1093/jopart/mui057
   Web of Science ®Google Scholar
• Ebbers, W. E., Jansen, M. G., & van Deursen, A. (2016). Impact of the digital divide on e-government: Expanding from channel choice to channel usage. Government Information Quarterly, 33(4), 685–692. doi:10.1016/j.giq.2016.08.007
   Web of Science ®Google Scholar
• El Kiki, T., & Lawrence, E. (2006). Government as a mobile enterprise: Real-time, ubiquitous government. Paper presented at the Third International Conference on Information Technology: New Generations (ITNG'06). IEEE.
   Google Scholar
• Fairbanks, J., Plowman, K. D., & Rawlins, B. L. (2007). Transparency in government communication. Journal of Public Affairs: an International Journal, 7(1), 23–37. doi:10.1002/(ISSN)1479-1854
   Google Scholar
• Fishenden, J., & Thompson, M. (2013). Digital government, open architecture, and innovation: Why public sector IT will never be the same again. Journal of Public Administration Research and Theory, 23(4), 977–1004. doi:10.1093/jopart/mus022
   Web of Science ®Google Scholar
• Garnett, J. L. (1992). Communicating for results in government: A strategic approach for public managers. Hoboken, NJ: John Wiley and Sons.
   Google Scholar
• Gelman, A., Stern, H. S., Carlin, J. B., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis. Boca Raton, FL: Chapman and Hall/CRC.
   Google Scholar
• Gill, J., & Meier, K. J. (2000). Public administration research and practice: A methodological manifesto. Journal of Public Administration Research and Theory, 10(1), 157–199. doi:10.1093/oxfordjournals.jpart.a024262
   Google Scholar
• Grimsley, M., & Meehan, A. (2007). e-Government information systems: Evaluation-led design for public value and client trust. European Journal of Information Systems, 16(2), 134–148. doi:10.1057/palgrave.ejis.3000674
   Web of Science ®Google Scholar
• Hong, S. (2015). Citizen participation in budgeting: A trade‐off between knowledge and inclusiveness? Public Administration Review, 75(4), 572–582. doi:10.1111/puar.12377
   Web of Science ®Google Scholar
• Hutchings, V. L. (2001). Political context, issue salience, and selective attentiveness: Constituent knowledge of the Clarence Thomas confirmation vote. Journal of Politics, 63(3), 846–868. doi:10.1111/0022-3816.00090
   Web of Science ®Google Scholar
• Im, T., Cho, W., Porumbescu, G., & Park, J. (2012). Internet, trust in government, and citizen compliance. Journal of Public Administration Research and Theory, 24(3), 741–763. doi:10.1093/jopart/mus037
   Web of Science ®Google Scholar
• Jackman, S. (2009). Bayesian analysis for the social sciences (Vol. 846). Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Kelman, S., & Hong, S. (2014). This could be the start of something big: Linking early managerial choices with subsequent organizational performance. Journal of Public Administration Research and Theory, 25(1), 135–164. doi:10.1093/jopart/muu010
   Web of Science ®Google Scholar
• Lim, J. H., & Tang, S.-Y. (2007). Urban e-government initiatives and environmental decision performance in Korea. Journal of Public Administration Research and Theory, 18(1), 109–138. doi:10.1093/jopart/mum005
   Web of Science ®Google Scholar
• McElreath, R. (2016). Statistical rethinking: A Bayesian course with examples in R and Stan (Vol. 122). Boca Raton, FL: CRC Press.
   Google Scholar
• McNeal, R., Hale, K., & Dotterweich, L. (2008). Citizen–Government interaction and the Internet: Expectations and accomplishments in contact, quality, and trust. Journal of Information Technology, 5(2), 213–229.
   Google Scholar
• Meijer, A., Bolívar, M. P. R., & Gil-Garcia, J. R. (2018). Introduction: From E-Government to digital era governance and beyond. Journal of Public Administration Research and Theory, Online - Only Exclusive.
   Google Scholar
• Morgeson, F. V., VanAmburg, D., & Mithas, S. (2011). Misplaced trust? Exploring the structure of the e-government-citizen trust relationship. Journal of Public Administration Research and Theory, 21(2), 257–283. doi:10.1093/jopart/muq006
   Web of Science ®Google Scholar
• Reddick, C. G. (2005). Citizen interaction with e-government: From the streets to servers? Government Information Quarterly, 22(1), 38–57. doi:10.1016/j.giq.2004.10.003
   Web of Science ®Google Scholar
• Rethemeyer, R. K. (2006). Policymaking in the age of internet: Is the internet tending to make policy networks more or less inclusive? Journal of Public Administration Research and Theory, 17(2), 259–284. doi:10.1093/jopart/mul001
   Web of Science ®Google Scholar
• StataCorp. (2017). Stata bayesian analysis reference manual, release 15 (Vol. Release 15). College Station, TX: Author.
   Google Scholar
• Thomas, J. C., & Streib, G. (2003). The new face of government: Citizen‐initiated contacts in the era of E‐Government. Journal of Public Administration Research and Theory, 13(1), 83–102. doi:10.1093/jpart/mug010
   Web of Science ®Google Scholar
• Tolbert, C. J., & Mossberger, K. (2006). The effects of e‐government on trust and confidence in government. Public Administration Review, 66(3), 354–369. doi:10.1111/puar.2006.66.issue-3
   Web of Science ®Google Scholar
• Tummers, L., & Rocco, P. (2015). Serving clients when the server crashes: How frontline workers cope with E‐government challenges. Public Administration Review, 75(6), 817–827. doi:10.1111/puar.12379
   Web of Science ®Google Scholar
• Van de Walle, S., & Bouckaert, G. (2003). Public service performance and trust in government: The problem of causality. International Journal of Public Administration, 26(8–9), 891–913. doi:10.1081/PAD-120019352
   Google Scholar
• Van Wart, M., Roman, A., Wang, X., & Liu, C. (2019). Operationalizing the definition of e-leadership: Identifying the elements of e-leadership. International Review of Administrative Sciences, 85(1), 80–97.
   Web of Science ®Google Scholar
• West, D. M. (2004). E‐government and the transformation of service delivery and citizen attitudes. Public Administration Review, 64(1), 15–27. doi:10.1111/puar.2004.64.issue-1
   Web of Science ®Google Scholar
• Yildiz, M. (2007). E-government research: Reviewing the literature, limitations, and ways forward. Government Information Quarterly, 24(3), 646–665. doi:10.1016/j.giq.2007.01.002
   Web of Science ®Google Scholar