Factors that Influence the Adoption of Mobile Government (M-gov): A Proposal of A Unified Model

References

• Abdelghaffar, H., & Magdy, Y. (2012). The adoption of mobile government services in developing countries: The case of Egypt. International Journal of Information and Communication Technology Research, 2(4), 333–341 https://esjournals.org/ https://www.researchgate.net/profile/Hany-Abdelghaffar/publication/268393482_The_Adoption_of_Mobile_Government_Services_in_Developing_Countries_The_Case_of_Egypt/links/5da6e6b84585159bc3d0d031/The-Adoption-of-Mobile-Government-Services-in-Developing-Countries-The-Case-of-Egypt.pdf.
   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
• Albar, A. M., & Hddas, M. A. (2018). Exploring saudi citizens‘ acceptance of mobile government service. International Journal Of Advanced Computer Science And Applications, 9(11), 397–400. https://doi.org/10.14569/IJACSA.2018.091156
   Web of Science ®Google Scholar
• Almaiah, M., Al-Khasawneh, A., Althunibat, A., & Khawatreh, S. (2020). Mobile government adoption model based on combining GAM and UTAUT to explain factors according to adoption of mobile government services. International Journal of Interactive Mobile Technologies (IJIM), 14(3), 199–225. https://doi.org/10.3991/ijim.v14i03.11264
   Google Scholar
• Almarashdeh, I., & Alsmadi, M. K. (2017). How to make them use it? Citizens acceptance of M-government. Applied Computing and Informatics, 13(2), 194–199. https://doi.org/10.1016/j.aci.2017.04.001
   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 and Informatics, 31(1), 153–171. https://doi.org/10.1016/j.tele.2013.02.002
   Web of Science ®Google Scholar
• Alshammari, T., Messom, C., & Cheung, Y. (2021). M-government continuance intentions: An instrument development and validation. Information Technology for Development, 27 (3) 1–21 . https://doi.org/10.1080/02681102.2021.1928589
   Google Scholar
• Althunibat, A., Alrawashdeh, T. A., & Muhairat, M. (2014). The acceptance of using m-government services in Jordan. In 2014 11th international conference on information technology: new generations, pp.(643–644). Las Vegas, NV, USA: IEEE. https://doi.org/10.1109/ITNG.2014.65
   Google Scholar
• Althunibat, A., Zain, N., & Sahari, N. (2011). Modelling the factors that influence mobile government services acceptance. African Journal of Business Management, 5(34), 13030–13043 . https://doi.org/10.5897/AJBM11.2083
   Google Scholar
• Antovski, L., & Gusev, M. (2005). M-government framework. In Proceedings of the first european conference on mobile government (pp. 36–44). Brighton, UK: University of Sussex. Accessed 10-12 July 2005.
   Google Scholar
• Azeez, N. D., & Lakulu, M. M. (2019). Review of mobile government at developing countries: Benefits and challenges. International Journal of Economics, Business and Management Research, 3(2), 198–219. http://ijebmr.com/uploads/pdf/archivepdf/2020/IJEBMR_344.pdf
   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
• Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473–482. https://doi.org/10.1007/s10796-008-9103-6
   Web of Science ®Google Scholar
• Clarke III, I. (2001). Emerging value propositions for m-commerce. Journal of Business Strategies, 18(2), 133. https://www.proquest.com/openview/4f97253f64c959dc1a003e7840a54bf2/1?pq-origsite=gscholar&cbl=31472
   Google Scholar
• Creswell, J. W. (2018). Research project: Qualitative, quantitative and mixed methods. Sage.
   Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211–230. https://doi.org/10.1016/j.giq.2017.03.001
   Web of Science ®Google Scholar
• Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
   Web of Science ®Google Scholar
• Eastin, M. S. (2002). Diffusion of e-commerce: An analysis of the adoption of four e-commerce activities. Telematics and Informatics, 19(3), 251–267. https://doi.org/10.1016/S0736-5853(01)00005-3
   Google Scholar
• Eid, R., Selim, H., & El-Kassrawy, Y. (2020). Understanding citizen intention to use m-government services: An empirical study in the UAE. Transforming Government: People, Process and Policy, ahead-of-print(ahead–of–print), 1–20. https://doi.org/10.1108/TG-10-2019-0100
   Google Scholar
• Faisal, M. N., & Talib, F. (2016). E-government to m-government: A study in a developing economy. International Journal of Mobile Communications, 14(6), 568–592. https://doi.org/10.1504/IJMC.2016.079301
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Garson, G. D. (2015). Structural Equation Modeling. Statistical Associates Publishing.
   Google Scholar
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2005). Multivariate data analysis. Bookman.
   Google Scholar
• Heeks, R. (2003). Most eGovernment-for-development projects fail: How can risks be reduced? Igovernment working paper no. 14 . Institute for Development Policy and Management University of Manchester, Harold Hankins Building, Precinct Centre, Manchester, M13 9GH, UK.http://dx.doi.org/10.2139/ssrn.3540052
   Google Scholar
• Hobololo, T. S., & Mawela, T. (2017). Exploring the use of mobile phones for public participation in the buffalo city metropolitan municipality. AGRIS Online Papers in Economics and Informatics, 9(1), 57–68. https://doi.org/10.7160/aol.2017.090105
   Google Scholar
• Hou, J. J., Arpan, L., Wu, Y., Feiock, R., Ozguven, E., & Arghandeh, R. (2020). The road toward smart cities: A study of citizens’ acceptance of mobile applications for city services. Energies, 13(10), 1–15. https://doi.org/10.3390/en13102496
   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
• Hung, S. Y., Chang, C. M., & Yu, T. J. (2006). Determinants of user acceptance of the e-Government services: The case of online tax filing and payment system. Government Information Quarterly, 23(1), 97–122. https://doi.org/10.1016/j.giq.2005.11.005
   Web of Science ®Google Scholar
• IBGE (2020). Gender statistics in Brazil. Instituto Brasileiro de Geografia e Estatística. https://www.ibge.gov.br/apps/snig/v1/apresentacao.html?loc=0
   Google Scholar
• Jesson, J., Matheson, L., & Lacey, F. M. (2011). Doing your literature review: Traditional and systematic techniques. Sage.
   Google Scholar
• Kushchu, I., & Kuscu, H. (2003). From E-government to M-government: Facing the Inevitable. In the 3rd European Conference on e-Government (pp. 253–260). Dublin Ireland: MCIL Trinity College. https://www.informs.org/Meetings-Conferences/INFORMS-Conference-Calendar/Past-Events/THE-3rd-EUROPEAN-CONFERENCE-ON-E-GOVERNMENT
   Google Scholar
• Kushchu, I. (2007). Mobile government: An emerging direction in e-government. IGI Publishing.
   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
• Locke, K., & Golden-Biddle, K. (1997). Constructing opportunities for contribution: Structuring intertextual coherence and “problematizing” in organizational studies. Academy of Management Journal, 40(5), 1023–1062. https://doi.org/10.5465/256926
   Web of Science ®Google Scholar
• Malhotra, N., & Birks, D. (2007). Marketing Research: An applied approach. Pearson.
   Google Scholar
• Mandari, H. E., Chong, Y. L., & Wye, C. K. (2017). The influence of government support and awareness on rural farmers’ intention to adopt mobile government services in Tanzania. Journal of Systems and Information Technology, 19(1/2), 42–64. https://doi.org/10.1108/JSIT-01-2017-0005
   Google Scholar
• Mensah, I. K., Zeng, G., & Luo, C. (2020). The effect of gender, age, and education on the adoption of mobile government services. International Journal on Semantic Web and Information Systems, 16(3), 35–52. https://doi.org/10.4018/IJSWIS.2020070103
   Web of Science ®Google Scholar
• OCDE. (2011) . M-government: Mobile technologies for responsive governments and connected societies. OECD Publishing.
   Google Scholar
• Ohme, J. (2014). The acceptance of mobile government from a citizens’ perspective: Identifying perceived risks and perceived benefits. Mobile Media & Communication, 2(3), 298–317. https://doi.org/10.1177/2050157914533696
   Web of Science ®Google Scholar
• Okazaki, S., Skapa, R., & Grande, I. (2008). Capturing global youth: Mobile gaming in the US, Spain, and the Czech Republic. Journal of Computer-Mediated Communication, 13(4), 827–855. https://doi.org/10.1111/j.1083-6101.2008.00421.x
   Web of Science ®Google Scholar
• Punch, K. F. (2009). Introduction to research methods in education. Sage.
   Google Scholar
• Reddick, C. G. (2014). Citizens and mobile government adoption: A comparison of activities and uses. International Journal of Civic Engagement and Social Change, 1(1), 13–26. https://doi.org/10.4018/ijcesc.2014010102
   Google Scholar
• Rogers, E. M. (1995). Diffusion of innovations. Free Press.
   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
• Seiders, K., Voss, G. B., Godfrey, A. L., & Grewal, D. (2007). SERVCON: Development and validation of a multidimensional service convenience scale. Journal of the Academy of Marketing Science, 35(1), 144–156. https://doi.org/10.1007/s11747-006-0001-5
   Web of Science ®Google Scholar
• Shahzad, F., Xiu, G., Khan, I., & Wang, J. (2018). m-Government security response system: Predicting citizens’ adoption behavior. International Journal of Human–Computer Interaction, 35(10), 899–915. https://doi.org/10.1080/10447318.2018.1516844
   Web of Science ®Google Scholar
• Shahzad, F., Xiu, G., Khan, M. A. S., & Shahbaz, M. (2020). Predicting the adoption of a mobile government security response system from the user’s perspective: An application of the artificial neural network approach. Technology in Society, 62 (3) , 101278. https://doi.org/10.1016/j.techsoc.2020.101278
   Google Scholar
• Shareef, M. A., Archer, N., & Dwivedi, Y. K. (2012). Examining adoption behavior of mobile government. Journal of Computer Information Systems, 53(2), 39–49 doi:10.1080/08874417.2012.11645613.
   Web of Science ®Google Scholar
• Shareef, M. A., Dwivedi, Y. K., Laumer, S., & Archer, N. (2016a). 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. A., Kumar, V., Dwivedi, Y. K., & Kumar, U. (2016b). Service delivery through mobile-government (mGov): Driving factors and cultural impacts. Information Systems Frontiers, 18(2), 315–332. https://doi.org/10.1007/s10796-014-9533-2
   Web of Science ®Google Scholar
• Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17–35. https://doi.org/10.1016/j.giq.2010.05.006
   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
• Silva, C., & Prado, E. (2013). Aceitação e uso de tecnologias móveis em empresas do setor de transportes públicos. In Proceedings of international conference on information systems and technology management, Sao Paulo (Brazil), TECSI – Information Systems and Technology Management Lab, pp. (1–15).
   Google Scholar
• Statista (2021). Mobile internet usage worldwide - statistics & facts – report. https://www.statista.com/topics/779/mobile-internet/
   Google Scholar
• Sultana, M. R., Ahlan, A. R., & Habibullah, M. D. (2016). A comprehensive adoption model of m-government services among citizens in developing countries. Journal of Theoretical & Applied Information Technology, 90(1), 49–60. http://www.jatit.org/volumes/Vol90No1/6Vol90No1.pdf
   Google Scholar
• Susanto, T. D., & Goodwin, R. (2010). Factors influencing citizen adoption of SMS-Based e-Government Services. Electronic Journal of E-government, 8(1), 55–70. https://academic-publishing.org/index.php/ejeg/article/view/526/489
   Google Scholar
• Susanto, T. D., & Goodwin, R. (2013). User acceptance of SMS-based e-government services: Differences between adopters and non-adopters. Government Information Quarterly, 30(4), 486–497. https://doi.org/10.1016/j.giq.2013.05.010
   Web of Science ®Google Scholar
• Talukder, S., Chiong, R., Dhakal, S., Sorwar, G., & Bao, Y. (2019). A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption. Journal of Systems and Information Technology, 21(4), 419–438. https://doi.org/10.1108/JSIT-10-2017-0096
   Google Scholar
• Tung, L. L., & Rieck, O. (2005). Adoption of electronic government services among business organizations in Singapore. The Journal of Strategic Information Systems, 14(4), 417–440. https://doi.org/10.1016/j.jsis.2005.06.001
   Web of Science ®Google Scholar
• Twizeyimana, J. D., & Andersson, A. (2019). The public value of E-Government–A literature review. Government Information Quarterly, 36(2), 167–178. https://doi.org/10.1016/j.giq.2019.01.001
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
   Web of Science ®Google Scholar
• Wang, C., Teo, T. S., & Liu, L. (2020). Perceived value and continuance intention in mobile government service in China. Telematics and Informatics, 48, 101348. https://doi.org/10.1016/j.tele.2020.101348
   Web of Science ®Google Scholar
• Wang, C., & Teo, T. S. (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, 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, 140–147. https://doi.org/10.1016/j.chb.2014.01.034
   Web of Science ®Google Scholar
• Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): A literature review. Journal of Enterprise Information Management, 28(3), 443–488. https://doi.org/10.1108/JEIM-09-2014-0088
   Web of Science ®Google Scholar
• Wirtz, B. W., Birkmeyer, S., & Langer, P. F. (2019). Citizens and mobile government: An empirical analysis of the antecedents and consequences of mobile government usage. International Review of Administrative Sciences, 1–19 . https://doi.org/10.1177/0020852319862349
   Google Scholar
• Yale, L., & Venkatesh, A. (1986). Toward the construct of convenience in consumer research. ACR North American Advances.
   Google Scholar
• Zhang, J. (2013). Towards a citizen-centered e-government: Exploring citizens’ satisfaction with e-government in China [Doctoral dissertation, Northern Illinois University] . https://www.proquest.com/openview/779b13a52e70b97e56b8e9f3c7f4419c/1?pq-origsite=gscholar&cbl=18750
   Google Scholar
• Zheng, Y., & Ma, L. (2021). How citizen demand affects the process of m-government adoption: An empirical study in China. Electronic Commerce Research, 1–27. https://doi.org/10.1007/s10660-021-09470-3
   Google Scholar