Abstract
This research investigated the driving factors of mobile government diffusion as antecedents that expand the specificity and explanatory power of traditional technology adoption models in mobile contexts. A robust conceptual model for evaluating the adoption of electronic and mobile government services is proposed. Focusing on the first component of the model, namely, the drivers of m-government diffusion, five innovation attributes that influence the decision to adopt m-government were examined. Following a qualitative approach based on grounded theory, 91 mobile phone users were interviewed using a questionnaire. Five attributes of diffusion of innovation were investigated: relative advantage, complexity, compatibility, trialability, and observability. The qualitative data obtained was coded and analyzed for theme frequency distribution. The driving factors that emerged from the themes were: accessibility, efficiency, connectivity and time-saving (dominant factors); convenience, user-friendly, features and service provider (moderate factors), and cost and security (minor factors). Future research should consider how the key driving factors for m-government diffusion can be leveraged to facilitate greater adoption of and synergy between e- and m-government. Empirical validation of the conceptual model is recommended to confirm its appropriateness in enhancing the adoption of electronic and mobile government services in Sub-Saharan Africa.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gichoya, D.: Factors affecting the successful implementation of ICT projects in government. Electron. J. E-gov. 3(4), 175–184 (2005)
Mpinganjira, M.: Delivering citizen-centric m-government services in Africa: critical success factor. Afr. Insight 44(3), 129–144 (2014)
Ngulube, P.: The nature and accessibility of e-government in Sub-Saharan Africa. Int. Rev. Inf. Ethics 7(9), 1–13 (2007)
International Telecommunication Union: The State of Broadband 2016: Broadband Catalyzing Sustainable Development. ITU, UNESCO (2016). https://www.broadbandcommission.org/Documents/reports/bb-annualreport2016.pdf. Accessed 26 Jan 2020
Mengistu, D., Zo, H., Rho, J.J.: M-government: opportunities and challenges to deliver mobile government services in developing countries. In: Proceedings of Fourth International Conference on Computer Sciences and Convergence Information Technology, pp. 1445–1450. IEEE, Seoul (2009)
Mwirigi, G.B., et al.: An empirical investigation of m-government acceptance in developing countries: a case of Kenya. Securing Government Information and Data in Developing Countries, pp. 62–89. IGI Global, Pennsylvania (2017)
Oteri, O.M., Kibet, L.P., Ndung’u, E.N.: Mobile subscription, penetration and coverage trends in Kenya’s telecommunication sector. Int. J. Adv. Res. Artif. Intell. 4(1), 1–7 (2015)
Communications Authority of Kenya First Quarter Sector Statistics Report for the Financial Year 2018/2019. https://ca.go.ke/document/sector-statistics-report-q2–2018-19/. Accessed 26 Jan 2020
UNDESA: United Nations E-Government Survey 2018: Gearing E-Government to Support Transformation towards Sustainable and Resilient Societies. United Nations, New York (2018)
Nkosi, M., Mekuria, F.: Mobile government for improved public service provision in South Africa. In: Proceedings of 2010 IST-Africa, pp. 1–8. IEEE (2010)
Ishengoma, F., Mselle, L., Mongi, H.: Critical success factors for m-government adoption in Tanzania: a conceptual framework. Electron. J. Inf. Syst. Dev. Countries 85(1), e12064 (2019)
Munyoka, W., Manzira, M.F.: From e-government to m-government-challenges faced by Sub-Saharan Africa. In: Proceedings of The International Conference on Computing Technology and Information Management (ICCTIM), p. 86. Society of Digital Information and Wireless Communication (2014)
Amanquah, N., Mzyece, M.: Mobile application research and development: the African context. In: Proceedings of the 2nd ACM Symposium on Computing for Development, p. 20. ACM (2012)
Kyem, P.A.K.: Mobile phone expansion and opportunities for e-governance in Sub-Saharan Africa. Electron. J. Inf. Syst. Dev Countries 75(1), 1–15 (2016)
Sekyere, E., Tshitiza, O., Hart, T.: Levering m-governance innovations for active citizenship engagement. HSRC, South Africa (2016)
Mpekoa, N., Dlamini, D.R: M-government maturity model: a qualitative investigation. In: Proceedings of International Conference on Information Society (i-Society), pp. 87–91. Infonomics Society, Dublin (2017)
Crandall, A., Mutuku, L.: M-governance: exploratory survey on Kenyan service delivery and government interaction. In: Proceedings of the IST-Africa 2012 Conference Proceedings. IST-Africa, Tanzania (2011). http://www.ist-africa.org/home/outbox/ISTAfrica_Paper_ref_84_4750.pdf
Rogers, E.M.: Diffusion of Innovations. Free Press, New York (2003)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Lee, Y.H., Hsieh, Y.C., Hsu, C.N.: Adding innovation diffusion theory to the technology acceptance model: supporting employees’ intentions to use e-learning systems. J. Edu. Technol. Soc. 14(4), 124–137 (2011)
Van Biljon, J., Kotzé, P.: Modelling the factors that influence mobile phone adoption. In: Proceedings of the 2007 Annual Research Conference Of The South African Institute Of Computer Scientists And Information Technologists On It Research In Developing Countries, pp. 152–161. ACM Press, Port Elizabeth, South Africa (2007)
Kushchu, I., Kuscu, H.: From e-government to m-government: facing the inevitable. In: Proceedings of The 3rd European Conference on E-government, pp. 253–260. MCIL Trinity College Dublin, Ireland (2003)
Kwon, H.S., Chidambaram, L.: A test of the technology acceptance model: the case of cellular telephone adoption. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, p. 7. IEEE, Maui, Hawaii (2000)
Bwalya, K.J., Healy, M.: Harnessing e-government adoption in the SADC region: a conceptual underpinning. Electron. J. E-gov. 8(1), 23 (2010)
Kanaan, R.K., et al.: Implementation of m-government: leveraging mobile technology to streamline the e-governance framework. J. Soc. Sci. (COES&RJ-JSS) 8(3), 495–508 (2019)
Shareef, M.A., Archer, N., Dwivedi, Y.K.: Examining adoption behavior of mobile government. J. Comput. Inf. Syst. 53(2), 39–49 (2012)
Shareef, M.A., Kumar, V., Dwivedi, Y.K., Kumar, U.: Service delivery through mobile-government (mGov): driving factors and cultural impacts. Inf. Syst. Front. 18(2), 315–332 (2014). https://doi.org/10.1007/s10796-014-9533-2
Min, S., So, K.K.F., Jeong, M.: Consumer adoption of the Uber mobile application: insights from diffusion of innovation theory and technology acceptance model. J. Travel Tourism Mark. 36(7), 770–783 (2019)
Rogers, E.M.: Diffusion of Innovations. Free Press, New York (1995)
Sanni, S.A., Ngah, Z.A., Karim, N.H.A., Abdullah, N., Waheed, M.: Using the diffusion of innovation concept to explain the factors that contribute to the adoption rate of e-journal publishing. Serials Rev. 39(4), 250–257 (2013)
Oghuma, A.P., Libaque-Saenz, C.F., Wong, S.F., Chang, Y.: An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics Inform. 33(1), 34–47 (2016)
Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)
Kapoor, K.K., Dwivedi, Y.K., Williams, M.D.: Empirical examination of the role of three sets of innovation attributes for determining adoption of IRCTC mobile ticketing service. Inf. Syst. Manag. 32(2), 153–173 (2015)
Aker, J.C., Mbiti, I.M.: Mobile phones and economic development in Africa. J. Econ. Perspect. 24(3), 207–232 (2010)
Carter, L., Bélanger, F.: The utilization of e-government services: citizen trust, innovation and acceptance factors. Inf. Syst. J. 15(1), 5–25 (2005)
Giovanis, A.N., Binioris, S., Polychronopoulos, G.: An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed J. Bus. 7(1), 24–53 (2012)
Tan, M., Teo, T.S.: Factors influencing the adoption of internet banking. J. Assoc. Inf. Syst. 1(1), 5 (2000)
Hasbi, M., Dubus, A.: Determinants of mobile broadband use in developing economies: evidence from Sub-Saharan Africa. Telecommun. Policy 44(5), 101944 (2020)
Creswell, J.W., Hanson, W.E., Clark Plano, V.L., Morales, A.: Qualitative research designs: selection and implementation. Couns. Psychol. 35(2), 236–264 (2007)
Harrison, H., Birks, M., Franklin, R., Mills, J.: Case study research: foundations and methodological orientations. In: Proceedings of Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, vol. 18(1) (2017)
Korstjens, I., Moser, A.: Series: practical guidance to qualitative research. Part 2: context, research questions and designs. Eur. J. Gen. Pract. 23(1), 274–279 (2017)
Turner III, D.W.: Qualitative interview design: a practical guide for novice investigators. Qual. Rep. 15(3), 754–760 (2010)
Kallio, H., Pietilä, A.M., Johnson, M., Kangasniemi, M.: Systematic methodological review: developing a framework for a qualitative semi-structured interview guide. J. Adv. Nurs. 72(12), 2954–2965 (2016)
Ritchie, J., Lewis, J., Nicholls, C.M., Ormston, R. (eds.): Qualitative Research Practice: A Guide for Social Science Students and Researchers. Sage, Thousand Oaks (2013)
Moser, A., Korstjens, I.: Series: practical guidance to qualitative research. Part 3: sampling, data collection and analysis. Eur. J. Gen. Pract. 24(1), 9–18 (2018)
Malterud, K., Siersma, V.D., Guassora, A.D.: Sample size in qualitative interview studies: guided by information power. Qual. Health Res. 26(13), 1753–1760 (2016)
O’Reilly, M., Parker, N.: ‘Unsatisfactory Saturation’: a critical exploration of the notion of saturated sample sizes in qualitative research. Qual. Res. 13(2), 190–197 (2013)
Saunders, B., et al.: Saturation in qualitative research: exploring its conceptualization and operationalization. Qual. Quant. 52(4), 1–15 (2017). https://doi.org/10.1007/s11135-017-0574-8
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Wakhu, S.M., Fuyuan, X., Kakonge, J.O. (2020). Enhancing E/M-Government Synergy in Kenya: Citizens’ Perspectives on the Driving Factors for M-Government Diffusion. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications. HCII 2020. Lecture Notes in Computer Science(), vol 12216. Springer, Cham. https://doi.org/10.1007/978-3-030-50350-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-50350-5_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50349-9
Online ISBN: 978-3-030-50350-5
eBook Packages: Computer ScienceComputer Science (R0)