Mobile Government: Research Development and Research Perspectives

References

• Abu-Shanab, E., & Haider, S. (2015). Major factors influencing the adoption of m-government in Jordan. Electronic Government: An International Journal, 11(4), 223–240. https://doi.org/10.1504/EG.2015.071394
   Google Scholar
• Afrobarometer. (2019). About US. https://www.afrobarometer.org/about
   Google Scholar
• Ahmad, S. Z., & Khalid, K. (2017). The adoption of m-government services from the user’s perspectives: Empirical evidence from the United Arab Emirates. International Journal of Information Management, 37(5), 367–379. https://doi.org/10.1016/j.ijinfomgt.2017.03.008
   Web of Science ®Google Scholar
• Al Thunibat, A., Zin, N. A. M., & Sahari, N. (2011). Mobile government user requirements model. Journal of E-Governance, 34(2), 104–111. https://doi.org/10.3233/GOV20110260
   Google Scholar
• Al-Hadidi, A., and Rezgui, Y. (2010). Adoption and diffusion of m-Government: Challenges and future directions for research. In L. M. Camarinha-Matos (Ed.), IFIP Advances in Information and Communication Technology Ser: v.336. Collaborative Networks for a Sustainable World: 11th IFIP WG 5. 5 Working Conference on Virtual Enterprises, PRO-VE 2010 (pp. 88–94). Berlin, Heidelberg: Springer.
   Google Scholar
• Al-Masaeed, S., & Love, S. (2014). Implementing mobile government in Jordan: Strategies for success. International Journal of Electronic Governance, 7(1), 3–26. https://doi.org/10.1504/IJEG.2014.065077
   Google Scholar
• Albesher, A. S., & Stone, R. T. (2016). Current state of m-government research: Identifying future research opportunities. International Journal of Electronic Governance, 8(2), 119–139. https://doi.org/10.1504/IJEG.2016.078118
   Google Scholar
• Alkhaldi, A. N. (2018). A model of the major factors affecting user’s intention to use m-government services in Saudi Arabia: From user’s persective. Journal of Global Business & Technology, 14(1), 68–81. https://gbata.org/wp-content/uploads/2018/09/JGBAT_Vol14-1.pdf
   Google Scholar
• Allen, B., Tamindael, L. E., Bickerton, S. H., & Cho, W. (2019). Does citizen coproduction lead to better urban services in smart cities projects? An empirical study on e-participation in a mobile big data platform. Government Information Quarterly, 37(1), 101412. https://doi.org/10.1016/j.giq.2019.101412
   Web of Science ®Google Scholar
• Aloudat, A., Michael, K., Chen, X., & Al-Debei, M. M. (2014). Social acceptance of location-based mobile government services for emergency management. Telematics & Informatics, 31(1), 153–171. https://doi.org/10.1016/j.tele.2013.02.002
   Web of Science ®Google Scholar
• Amer, A. A., & Abdel Hafez, H. A. (2017). Empirical investigation of m-government adoption in Egypt. Egyptian Computer Science Journal, 41(2), 36–43. http://ecsjournal.org/JournalArticle.aspx?articleID=514
   Google Scholar
• Arduini, D., & Zanfei, A. (2014). An overview of scholarly research on public e-services? A meta-analysis of the literature. Telecommunications Policy, 38(5–6), 476–495. https://doi.org/10.1016/j.telpol.2013.10.007
   Web of Science ®Google Scholar
• Carter, L., & Bélanger, F. (2005). The utilization of e‐government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25. https://doi.org/10.1111/j.1365-2575.2005.00183.x
   Web of Science ®Google Scholar
• Chen, Z.-J., Vogel, D., & Wang, Z.-H. (2016). How to satisfy citizens? Using mobile government to reengineer fair government processes. Decision Support Systems, 82(Feb), 47–57. https://doi.org/10.1016/j.dss.2015.11.005
   Web of Science ®Google Scholar
• Dawes, S. S. (2009). Governance in the digital age: A research and action framework for an uncertain future. Government Information Quarterly, 26(2), 257–264. https://doi.org/10.1016/j.giq.2008.12.003
   Web of Science ®Google Scholar
• Eom, S.-J., & Kim, J. H. (2014). The adoption of public smartphone applications in korea: Empirical analysis on maturity level and influential factors. Government Information Quarterly, 31(1), S26–S36. https://doi.org/10.1016/j.giq.2014.01.005
   Google Scholar
• Fan, X., Thompson, B., & Wang, L. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 56–83. https://doi.org/10.1080/10705519909540119
   Web of Science ®Google Scholar
• Hancock, G. R., Mueller, R. O., & Stapleton, L. M. (2010). The reviewer’s guide to quantitative methods in the social sciences. Routledge.
   Google Scholar
• Hobololo, T. S., & Mawela, T. (2017). Exploring the use of mobile phones for public participation in the Buffalo city metropolitan municipality. Agris on-Line Papers in Economics & Informatics, 9(1), 57–68. https://doi.org/10.7160/aol.2017.090105
   Google Scholar
• Hu, P. J.-H., Chen, H., Hu, H.-F., Larson, C., & Butierez, C. (2011). Law enforcement officers’ acceptance of advanced e-government technology: A survey study of coplink mobile. Electronic Commerce Research & Applications, 10(1), 6–16. https://doi.org/10.1016/j.elerap.2010.06.002
   Web of Science ®Google Scholar
• Hung, S.-Y., Chang, C.-M., & Kuo, S.-R. (2013). User acceptance of mobile e-government services: An empirical study. Government Information Quarterly, 30(1), 33–44. https://doi.org/10.1016/j.giq.2012.07.008
   Web of Science ®Google Scholar
• Ingrams, A. (2015). Mobile phones, smartphones, and the transformation of civic behavior through mobile information and connectivity. Government Information Quarterly, 32(4), 506–515. https://doi.org/10.1016/j.giq.2015.07.007
   Web of Science ®Google Scholar
• Irani, Z., Weerakkody, V., Kamal, M., Mohammed Hindi, N., Osman, I. H., Latef Anouze, A., El-Haddadeh, R., Lee, H., Osmani, M., & Al-Ayoubi, B. (2012). An analysis of methodologies utilised in e-government research: A user satisfaction perspective. Journal of Enterprise Information Management, 25(3), 298–313. https://doi.org/10.1108/17410391211224417
   Google Scholar
• Ishengoma, F., Mselle, L., & Mongi, H. (2019). Critical success factors for m‐government adoption in Tanzania: A conceptual framework. The Electronic Journal of Information Systems in Developing Countries, 85(1), e12064. https://doi.org/10.1002/isd2.12064
   Web of Science ®Google Scholar
• Khanesha, S., & Jani, A. (2016). Mobile augmented integrated framework for citizen centric e-governance services-maifcces. International Journal of Information Engineering and Electronic Business, 8(3), 47. https://doi.org/10.5815/ijieeb.2016.03.06
   Google Scholar
• King, B. A., & Youngblood, N. E. (2016). E-government in Alabama: An analysis of county voting and election website content, usability, accessibility, and mobile readiness. Government Information Quarterly, 33(4), 715–726. https://doi.org/10.1016/j.giq.2016.09.001
   Web of Science ®Google Scholar
• Korhan, O., & Ersoy, M. (2016). Usability and functionality factors of the social network site application users from the perspective of uses and gratification theory. Quality & Quantity, 50(4), 1799–1816. https://doi.org/10.1007/s11135-015-0236-7
   Web of Science ®Google Scholar
• Kushchu, I., & Kuscu, H. (Eds.). (2003). From E-government to M-government: Facing the inevitable. MCIL Trinity College Dublin Ireland.
   Google Scholar
• Lee, S. M., Tan, X., & Trimi, S. (2006). M-government, from rhetoric to reality: Learning from leading countries. Electronic Government, an International Journal, 3(2), 113–126. https://doi.org/10.1504/EG.2006.009213
   Google Scholar
• Lei, P. ‐. W., & Wu, Q. (2007). Introduction to structural equation modeling: Issues and practical considerations. Educational Measurement: Issues and Practice, 26(3), 33–43. https://doi.org/10.1111/j.1745-3992.2007.00099.x
   Google Scholar
• Lin, Y.-H., Hsu, C.-L., Chen, M.-F., & Fang, C.-H. (2017). New gratifications for social word-of-mouth spread via mobile snss: Uses and gratifications approach with a perspective of media technology. Telematics and Informatics, 34(4), 382–397. https://doi.org/10.1016/j.tele.2016.08.019
   Web of Science ®Google Scholar
• Liu, S. M., & Yuan, Q. (2015). The evolution of information and communication technology in public administration. Public Administration & Development, 35(2), 140–151. https://doi.org/10.1002/pad.1717
   Web of Science ®Google Scholar
• Liu, Y., Li, H., Kostakos, V., Goncalves, J., Hosio, S., & Hu, F. (2014). An empirical investigation of mobile government adoption in rural China: A case study in zhejiang province. Government Information Quarterly, 31(3), 432–442. https://doi.org/10.1016/j.giq.2014.02.008
   Web of Science ®Google Scholar
• Madden, G., Bohlin, E., Oniki, H., & Tran, T. (2013). Potential demand for m-government services in Japan. Applied Economics Letters, 20(7–9), 732–736. https://doi.org/10.1080/13504851.2012.736939
   Google Scholar
• Mossey, S., Bromberg, D., & Manoharan, A. P. (2019). Harnessing the power of mobile technology to bridge the digital divide: A look at US cities’ mobile government capability. Journal of Information Technology & Politics, 16(1), 52–65. https://doi.org/10.1080/19331681.2018.1552224
   Web of Science ®Google Scholar
• Nica, E., & Potcovaru, A.-M. (2015). Effective m-government services and increased citizen participation: Flexible and personalized ways of interacting with public administrations. Journal of Self-Governance and Management Economics, 3(2), 92–97.
   Google Scholar
• Ochara, N. M., & Mawela, T. (2015). Enabling social sustainability of e-participation through mobile technology. Information Technology for Development, 21(2), 205–228. https://doi.org/10.1080/02681102.2013.833888
   Web of Science ®Google Scholar
• Park, H., & Lee, T. D. (2018). Adoption of e-government applications for public health risk communication: Government trust and social media competence as primary drivers. Journal of Health Communication, 23(8), 712–723. https://doi.org/10.1080/10810730.2018.1511013
   PubMed Web of Science ®Google Scholar
• Paunonen, S. V. (2003). Big five factors of personality and replicated predictions of behavior. Journal of Personality and Social Psychology, 84(2), 411. https://doi.org/10.1037/0022-3514.84.2.411
   PubMed Web of Science ®Google Scholar
• Rahman, M. M., & Sloan, T. (2015). Cross-cultural comparison of m-commerce adoption between developed and developing countries: A literature review. The International Technology Management Review, 5(3), 142–161. https://doi.org/10.2991/itmr.2015.5.3.4
   Google Scholar
• Reinsalu, K. (2006). Is estonian local e-government responsive to citizens’ needs? The case study of tartu. Information Polity: The International Journal of Government & Democracy in the Information Age, 11(3/4), 255–272. https://doi.org/10.3233/IP-2006-0100
   Google Scholar
• Saxena, S. (2017). Enhancing ict infrastructure in public services: Factors influencing mobile government (m-government) adoption in India. The Bottom Line, 30(4), 279–296. https://doi.org/10.1108/BL-08-2017-0017
   Web of Science ®Google Scholar
• Saxena, S. (2018). Role of “perceived risks” in adopting mobile government (m-government) services in India. Foresight, 20(2), 190–205. https://doi.org/10.1108/FS-08-2017-0040
   Web of Science ®Google Scholar
• Shareef, M., Archer, N., & Dwivedi, Y. K. (2012). Examing adoption behavior of mobile government. Journal of Computer Information Systems, 53(2), 39–49. https://www.tandfonline.com/doi/citedby/10.1080/08874417.2012.11645613?scroll=top&needAccess=true
   Web of Science ®Google Scholar
• Shareef, M., Dwivedi, Y., Laumer, S., & Archer, N. (2016). Citizens’ adoption behavior of mobile government (mgov): A cross-cultural study. Information Systems Management, 33(3), 268–283. https://doi.org/10.1080/10580530.2016.1188573
   Web of Science ®Google Scholar
• Shareef, M., Dwivedi, Y., Stamati, T., & Williams, M. D. (2014). Sq mgov: A comprehensive service-quality paradigm for mobile government. Information Systems Management, 31(2), 126–142. https://doi.org/10.1080/10580530.2014.890432
   Web of Science ®Google Scholar
• Shareef, M., Kumar, V., Dwivedi, Y., & Kumar, U. (2016). Service delivery through mobile-government (mgov): Driving factors and cultural impacts. Information Systems Frontiers, 18(2), 2. https://doi.org/10.1007/s10796-014-9533-2
   Web of Science ®Google Scholar
• Sharma, S. K., Al-Badi, A., Rana, N. P., & Al-Azizi, L. (2018). Mobile applications in government services (mg-app) from user’s perspectives: A predictive modelling approach. Government Information Quarterly, 35(4), 557–568. https://doi.org/10.1016/j.giq.2018.07.002
   Web of Science ®Google Scholar
• Talukder, M. S., Chiong, R., Corbitt, B., & Bao, Y. (2020). Critical factors influencing the intention to adopt m-government services by the elderly. Journal of Global Information Management (JGIM), 28(4), 74–94. https://doi.org/10.4018/JGIM.2020100105
   Google Scholar
• Tang, A. K. Y. (2019). A systematic literature review and analysis on mobile apps in m-commerce: Implications for future research. Electronic Commerce Research & Applications, 37(Sep-Oct), 100885. https://doi.org/10.1016/j.elerap.2019.100885
   Web of Science ®Google Scholar
• Trimi, S., & Sheng, H. (2008). Emerging trends in m-government. Communications of the ACM, 51(5), 53–58. https://doi.org/10.1145/1342327.1342338
   Web of Science ®Google Scholar
• Valle-Cruza, D., Sandoval-Almazan, R., & Gil-Garcia, J. R. (2016). Citizens’ perceptions of the impact of information technology use on transparency, efficiency and corruption in local governments. Information Polity: The International Journal of Government & Democracy in the Information Age, 21(3), 321–334. https://doi.org/10.3233/IP-160393
   Google Scholar
• Vargo, C. J. (2016). Toward a tweet typology: Contributory consumer engagement with brand messages by content type. Journal of Interactive Advertising, 16(2), 157–168. https://doi.org/10.1080/15252019.2016.1208125
   Google Scholar
• Wang, C., & Teo, T. S. H. (2020). Online service quality and perceived value in mobile government success: An empirical study of mobile police in China. International Journal of Information Management, 52(June), 102076. https://doi.org/10.1016/j.ijinfomgt.2020.102076
   Web of Science ®Google Scholar
• Wang, C. (2014). Antecedents and consequences of perceived value in mobile government continuance use: An empirical research in China. Computers in Human Behavior, 34(May), 140–147. https://doi.org/10.1016/j.chb.2014.01.034
   Web of Science ®Google Scholar
• Wang, G., Chen, Q., Xu, Z., & Leng, X. (2020). Can the use of government apps shape citizen compliance? The mediating role of different perceptions of government. Computers in Human Behavior, 108(July), 106335. https://doi.org/10.1016/j.chb.2020.106335
   Web of Science ®Google Scholar
• Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26(2), xiii–xxiii. https://www.jstor.org/stable/4132319
   Google Scholar
• Wirtz, B. W., & Birkmeyer, S. (2018). Mobile government services: An empirical analysis of mobile government attractiveness. International Journal of Public Administration, 41(16), 1385–1395. https://doi.org/10.1080/01900692.2017.1390583
   Web of Science ®Google Scholar
• Wirtz, B. W., & Daiser, P. (2018). A meta-analysis of empirical e-government research and its future research implications. International Review of Administrative Sciences, 84(1), 144–163. https://doi.org/10.1177/0020852315599047
   Web of Science ®Google Scholar
• Wirtz, B. W., & Kurtz, O. T. (2016). Citizen preferences toward e-government city portals: An emprirical analysis of full online, mobile and social media. International Public Management Review, 17(1), 1–19. https://journals.sfu.ca/ipmr/index.php/ipmr/article/view/274/260
   Google Scholar
• Yoojung, K., Yoon, J., Park, S., & Han, J. (Eds.). (2004). Architecture for implementing the mobile government services in Korea. Springer.
   Google Scholar