Uncertainty Avoidance, Power Distance, and Transformational Government: A Dual-Pathway Analysis of Electronic Government in Tanzania

Deogratius Mathew Lashayo; Julius Raphael Mhina

doi:10.62177/apemr.v3i5.1643

Authors

Deogratius Mathew Lashayo The Institute of Finance Management (IFM)
Julius Raphael Mhina The Institute of Finance Management (IFM)

DOI:

https://doi.org/10.62177/apemr.v3i5.1643

Keywords:

Transformational Government, Electronic Government, Uncertainty Avoidance, Power Distance, National Culture, PLS-SEM, Digital Transformation, Tanzania

Abstract

The rapid expansion of digital government initiatives has transformed public-sector service delivery, yet achieving transformational government outcomes remains uneven, particularly in developing-country contexts. While existing research has predominantly focused on technological and organisational drivers, limited attention has been given to the role of cultural factors in shaping digital transformation. This study examines national culture as a structural determinant of transformational government, focusing on the direct and indirect effects of uncertainty avoidance, mediated through electronic government, alongside the direct effect of power distance on transformational government. Drawing on a contextual perspective of information systems, the study conceptualises culture not as a peripheral moderator but as a foundational force that shapes both digital capability and governance outcomes. A quantitative research design was employed, using survey data collected from 1,370 users of e-government services in Tanzania. The data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM), enabling the simultaneous assessment of direct and mediating relationships. The findings show that uncertainty avoidance significantly influences electronic government and transformational government, and that power distance and electronic government significantly influence transformational government. Furthermore, electronic government partially mediates the relationship between uncertainty avoidance and transformational government, revealing a dual pathway through which culture shapes transformation. These findings demonstrate that digital transformation is not solely a technological process but is deeply embedded in cultural and institutional contexts. The study contributes to the literature by advancing a contextualised understanding of digital government transformation and by highlighting the importance of culturally aligned policy design and implementation strategies in developing countries.

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References

Layne, K. and Lee, J. (2001) ‘Developing fully functional e-government: A four-stage model’, Government Information Quarterly, 18(2), 122–136. https://doi.org/10.1016/S0740-624X(01)00066-1 DOI: https://doi.org/10.1016/S0740-624X(01)00066-1

Heeks, R. (2006) Implementing and Managing e-Government: An International Text, Sage, London. DOI: https://doi.org/10.4135/9781446220191

Gil-Garcia, J.R., Dawes, S.S. and Pardo, T.A. (2018) ‘Digital government and public management research: Finding the crossroads’, Public Management Review, 20(5), 633–646. https://doi.org/10.1080/14719037.2017.1327181 DOI: https://doi.org/10.1080/14719037.2017.1327181

Bannister, F. and Connolly, R. (2011) ‘The trouble with transparency: A critical review of openness in e-government’, Policy and Internet, 3(1), 1–30. https://doi.org/10.2202/1944-2866.1076 DOI: https://doi.org/10.2202/1944-2866.1076

Janowski, T. (2015) ‘Digital government evolution: From transformation to contextualization’, Government Information Quarterly, 32(3), 221–236. https://doi.org/10.1016/j.giq.2015.07.001 DOI: https://doi.org/10.1016/j.giq.2015.07.001

Scholta, H., Mertens, W., Kowalkiewicz, M. and Becker, J. (2019) ‘From one-stop shop to no-stop shop: An e-government stage model’, Government Information Quarterly, 36(1), 11–26. https://doi.org/10.1016/j.giq.2018.11.010 DOI: https://doi.org/10.1016/j.giq.2018.11.010

Heeks, R. and Bailur, S. (2007) ‘Analyzing e-government research’, Government Information Quarterly, 24(2), 243–265. https://doi.org/10.1016/j.giq.2006.06.005 DOI: https://doi.org/10.1016/j.giq.2006.06.005

Coursey, D. and Norris, D.F. (2008) ‘Models of e-government: Are they correct?’, Public Administration Review, 68(3), 523–536. https://doi.org/10.1111/j.1540-6210.2008.00888.x DOI: https://doi.org/10.1111/j.1540-6210.2008.00888.x

Syed, R., Bandara, W., French, E. and Stewart, G. (2023) ‘Digital transformation in government: A systematic review’, Government Information Quarterly, 40(1).

Fountain, J.E. (2001) Building the Virtual State: Information Technology and Institutional Change, Brookings Institution Press, Washington, DC.

Avgerou, C. (2019) ‘Contextual explanation of information systems: A critical realist perspective’, Information and Organization, 29(1), 1–13.

Mergel, I., Edelmann, N. and Haug, N. (2019) ‘Defining digital transformation: Results from expert interviews’, Government Information Quarterly, 36(4). https://doi.org/10.1016/j.giq.2019.06.002 DOI: https://doi.org/10.1016/j.giq.2019.06.002

Hofstede, G. (2001) Culture’s Consequences, 2nd ed., Sage, Thousand Oaks.

Hofstede, G., Hofstede, G.J. and Minkov, M. (2010) Cultures and Organizations: Software of the Mind, 3rd ed., McGraw-Hill.

Zhao, F. and Khan, M. (2013) ‘Cultural influences on e-government adoption’, International Journal of Electronic Government Research, 9(2). DOI: https://doi.org/10.4018/jegr.2013040106

Mensah, I.K. (2020) ‘Impact of cultural dimensions on e-government adoption’, Electronic Government: An International Journal, 16(2), 121–145. DOI: https://doi.org/10.4018/IJEGR.2020040102

Kumar, S., Baishya, K., Sadarangani, P.H. and Samalia, H.V. (2020) ‘Cultural influence on e-Government development’, Electronic Journal of Information Systems Evaluation, 23(2), 17–33. DOI: https://doi.org/10.34190/EJISE.20.23.1.002

Ishengoma, F. (2019) ‘Power distance and users’ behavior towards the adoption of m-Government services in Tanzania: A web analytics study’, International Journal of Open Information Technologies, 7(9), 1–8. http://injoit.org/index.php/j1/article/view/786

Guo, B. and Wang, D. (2024) ‘Will online shopping lead to more brand loyalty than offline shopping? The role of uncertainty avoidance’, Journal of Marketing Research, 61(1), 92–109. https://doi.org/10.1177/00222437231153 DOI: https://doi.org/10.1177/00222437231153075

Nguyen, T. (2016) ‘The impact of culture on e-government adoption’, International Journal of Public Administration, 39(9).

Lobonț, O.R., Nicolescu, A.C. and Moldovan, N.C. (2022) ‘Cultural influences on digital transformation in public administration’, Sustainability, 14(3).

Donald Shao, D. and Saxena, S. (2019) ‘Barriers to open government data (OGD) initiative in Tanzania: stakeholders’ perspectives’, Growth and Change, 50(1), 470–485. https://doi.org/10.1111/grow.12282 DOI: https://doi.org/10.1111/grow.12282

Omweri, F.S. (2024) ‘A systematic literature review of e-government implementation in developing countries: Examining urban-rural disparities, institutional capacity, and socio-cultural factors in the context of local governance and progress towards SDG 16.6’, International Journal of Research and Innovation in Social Science, 8(8), 1173–1199. https://doi.org/10.47772/IJRISS.2024.808088 DOI: https://doi.org/10.47772/IJRISS.2024.808088

Omar, A., Weerakkody, V. and Daowd, A. (2020) ‘Studying transformational government: a review of the existing methodological approaches and future outlook’, Government Information Quarterly, 37(2), 101458. https://doi.org/10.1016/j.giq.2020.101458 DOI: https://doi.org/10.1016/j.giq.2020.101458

Lashayo, D.M., Mhina, J.R.A. and Kwesigabo, E.M. (2025) ‘A multi-factor framework for transformational government in Tanzania: an empirical analysis of implementation determinants’, International Journal of Electronic Governance, 17(2), 161–185. https://doi.org/10.1504/IJEG.2025.148172 DOI: https://doi.org/10.1504/IJEG.2025.148172

The President’s Office – Public Service Management and Good Governance (2022) Tanzania e-Government Strategy 2022, Digital Watch Observatory. https://dig.watch/resource/tanzania-e-government-strategy-2022

Mahmood, M., Weerakkody, V. and Chen, W. (2019) ‘The influence of transformation on e-government performance’, Information Systems Frontiers, 21(5).

Ndlovu, S., Mhlanga, D. and Moloi, T. (2023) ‘Digital transformation in the public sector: Challenges and opportunities’, Sustainability, 15(4).

Pedersen, K. (2018) ‘E-government as a driver of public sector transformation’, Public Administration Review, 78(3). DOI: https://doi.org/10.1111/puar.12910

Rusu, L., Vintilă, G. and Sîrghi, N. (2020) ‘Cultural influences on digital governance’, Sustainability, 12(8).

Al-Hujran, O., Al-Debei, M.M., Chatfield, A. and Migdadi, M. (2015) ‘The imperative of influencing citizen attitude toward e-government adoption and use’, Computers in Human Behavior, 53, 189–203. https://doi.org/10.1016/j.chb.2015.06.025 DOI: https://doi.org/10.1016/j.chb.2015.06.025

Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2021) ‘When to use and how to report the results of PLS-SEM’, European Business Review, 33(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203 DOI: https://doi.org/10.1108/EBR-11-2018-0203

Yoo, B., Donthu, N. and Lenartowicz, T. (2011) ‘Measuring Hofstede’s five dimensions of cultural values at the individual level: development and validation of CVSCALE’, Journal of International Consumer Marketing, 23(3-4), 193–210. https://doi.org/10.1080/08961530.2011.578059 DOI: https://doi.org/10.1080/08961530.2011.578059

Carter, L. and 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 DOI: https://doi.org/10.1111/j.1365-2575.2005.00183.x

Cochran, W.G. (1977) Sampling Techniques, 3rd ed., John Wiley & Sons, New York.

Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2017) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed., Sage, Thousand Oaks.

Hair, J.F., Hult, G.T.M., Ringle, C.M. and Sarstedt, M. (2019) Advanced Issues in Partial Least Squares Structural Equation Modeling, Sage, Thousand Oaks.

Henseler, J., Ringle, C.M. and Sarstedt, M. (2015) ‘A new criterion for assessing discriminant validity in variance-based SEM’, Journal of the Academy of Marketing Science, 43(1), 115–135. DOI: https://doi.org/10.1007/s11747-014-0403-8