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Financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior

Tiberius Phillip Mlowosa ORCID ↗ · Gwahula Raphael · Dionis Ndolage

International Journal of Research in Business and Social Science · 2025 · Vol. 14 / Issue 6 · 121-137

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Overview

Abstract

The study examined financial retirement planning of government employees in Tanzania: Moderating effect of financial decision behavior. The study applied a cross-sectional survey strategy, positivist paradigm and deductive approach. The study collected quantitative data through questionnaire from government employees working in different ministries within Dodoma region in Tanzania. The study examined whether the moderator moderates the relationship between independent variables (computation capability, financial knowledge, financial education and risk attitude towards financial products) and dependent variable (retirement planning). Data analysis was through Smart PLS-SEM path modelling. The study findings were that financial decision behavior had statistically significant positive moderating effect (p=0.013) on retirement planning. Moderating effect of financial decision behavior on the relationship between risk altitude towards financial products and retirement planning found to be a theoretical contribution of this study as it supports behavioral finance advocates who asserts that the theory of expected utility is an incomplete model since it lacks individual behavioral aspects. This study has incorporating a moderating variable financial decision behavior borrowed from the theory of planned behavior, which has indicated a significant moderating effect that has widened the explanatory power of the theory. This study offers pertinent insights for policy makers concerns on reviewing policy guidelines by government regulators and professional bodies, to advocate for employee’s savings and investment behavior, employees access to a range of financial products, regular training on financial products available in the financial market for better investment decision. Lastly, practitioners and academia can use the results of this study for future references.

Keywords: {'name': "African's perception, Attitudes, Myths, Pandemic, Vaccine hesitancy"}

Authors & affiliations

Tiberius Phillip Mlowosa
Affiliation not supplied

Gwahula Raphael
Affiliation not supplied

Dionis Ndolage
Affiliation not supplied

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DOI: 10.1016/0749-5978(91)90020-T

DOI: 10.32493/eaj.v1i1.y2018.p1-10

Antoni, X. L., Saayman, M., & Vosloo, N. (2020). The relationship between financial literacy and retirement planning in Nelson Mandela Bay. International Journal of Business and Management Studies, 12(2).

Arlinda, N. (2022). Pengaruh pengetahuan keuangan dan jumlah tanggungan terhadap kesejahteraan keuangan dengan perilaku pengelolaan keuangan sebagai mediatori. Manajemen dan Akuntansi, 1. http://eprints.perbanas.ac.id/9478/49/artikel_ilmiah.pdf

Anspach, D. (2019). How to estimate your retirement expenses. https://www.thebalance.com/how-to-estimate-your-retirementexpenses-2388830

DOI: 10.1108/IJBM-03-2018-0066

Boko, M. G. (2019). Management of pension scheme and primary teacher retirees' social welfare in Adjumani District, West Nile – Uganda.

Cibangala, P. B. (2019). Education financiere des menages: Developpement et validation d’une echelle de mesure (pp. 1–48).

Chavali, K., Raj, P. M., & Ahmed, R. (2021). Does financial behavior influence financial well-being? Journal of Asian Finance, Economics and Business, 8(2), 273–280. https://doi.org/10.13106/jafeb.2021.vol8.no2.0273

DOI: 10.4314/contjas.v5i2.2

Edirisinghe, S., et al. (2017). Financial literacy and financial behavior of management undergraduates of Sri Lanka. Int J Manag Appl Sci.

DOI: 10.3390/jrfm14110561

Frank, R. H. (2009). Microeconomics and behavior (8th ed.). McGraw-Hill Higher Education.

Gaskin, J. (2016). SmartPLS3 running and interpreting a causal model [MP4]. Retrieved May 26, 2024, from http://youtibe.com/Gaskination

DOI: 10.1016/j.pacfin.2018.01.007

DOI: 10.1080/03601277.2012.660857

DOI: 10.1093/obo/9780199828340-0240

DOI: 10.2753/MTP1069-6679190202

DOI: 10.1016/j.lrp.2013.01.001

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (new int. ed.). Harlow: Pearson Education.

DOI: 10.1108/EBR-10-2013-0128

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares equation modeling (PLS-SEM). Sage Publication, Inc.: Thousand Oaks, CA, USA.

DOI: 10.1007/s11747-017-0517-x

DOI: 10.1108/EBR-11-2018-0203

DOI: 10.1016/j.jbusres.2019.11.069

DOI: 10.5430/ijba.v9n3p30

DOI: 10.1108/IMDS-09-2015-0382

DOI: 10.1017/S1474747218000227

DOI: 10.1111/ijcs.12498

DOI: 10.24018/ejbmr.2021.6.5.1064

Kafari, E. (2019). Financial literacy and retirement planning among employees at Ghana GRID Company (Master’s thesis). University of Coast, Ghana.

Kapoor, J., Dlabay, L., & Hughes, R. (1994). Personal finance: Retirement planning. Woodland Hills, Calif.: McGraw Hill/Glencoe.

DOI: 10.1007/978-3-319-64069-3_11

Kaiser, et al. (2022). Financial education affects financial knowledge and downstream behaviors. Journal of Financial Literacy and Wellbeing, 1(1), 1–21.

DOI: 10.1007/s10834-018-9595-2

Kulondwa, S., & Njoka, C. (2021). Financial literacy and personal retirement planning among public sector employees in Bukavu City, the DRC. Journal of Business and Management, 23(3), 1–13.

DOI: 10.14254/2071-789X.2019/12-2/18

DOI: 10.1037/h0062738

DOI: 10.1017/S1474747215000232

DOI: 10.1109/TPC.2014.2312452

DOI: 10.1891/1052-3073.29.2.198

DOI: 10.1080/23322039.2018.1512366

Muriithi, G. N. (2021). The effect of behavioural biases on investment decisions by real estate developers in Nairobi, Kenya (Doctoral dissertation). University of Nairobi.

Mbelwa, L. H., & Lenatusi, M. L. L. (2019). Assessment of factors that influence management reliance on internal audit function: Evidence from oil and gas companies operating in Tanzania. Business Management Review, 22(1), 13–30.

DOI: 10.7441/joc.2019.01.05

DOI: 10.1016/j.pacfin.2020.101262

OECD. (2020). G20/OECD INFE policy guidance on digitalization and financial literacy. Standardizes knowledge as "awareness, skills, and application" across global contexts.

DOI: 10.7441/joc.2018.03.09

Ringle, C., Wende, S., & Becker, J.-M. (2015). SmartPLS3. Retrieved December 4, 2018, from http://www.smartpls.com

DOI: 10.1177/1354816618823921

Saunders, M. N., & Lewis, P. (2012). Doing research in business & management: An essential guide to planning your project. New York, USA: Pearson Education.

Satria, A., & Hutabarat, S. (2020). Analysis the effect of financial literacy on financial planning for retirement. International Journal of Management, 11(5), 741–750. https://doi.org/10.34218/IJM.11.5.2020.066

DOI: 10.1108/RBF-05-2020-0110

Statista. (2019). Life expectancy by continent 2018 statistic. https://www.statista.com/statistics/270861/life-expectancy-by-continent

DOI: 10.24856/mem.v35i1.1246

Snyder, C., & Nicholson, W. (2011). Microeconomics theory: Basic principles and extensions (11th ed.). Cengage Learning.

Thorsten, H., & Marc, O. R. (2010). Financial economics: A concise introduction to classical and behavioral finance. Springer.

Thornhill, A., Saunders, M., & Lewis, P. (2016). Research methods for business students (7th ed.). Essex: Pearson Education Ltd.

Thung, C. M., Kai, C. Y., Nie, F. S., Chiun, L. W., & Tsen, T. C. (2012). Determinants of saving behavior among university students in Malaysia. Final Year Project, UTAR. Available online at: http://eprints.utar.edu.my/607/1/AC-2011-0907445

URT. (n.d.). The national website: https://www.tanzania.go.tz; United Republic of Tanzania.

Yamane, T. (1967). Statistics: An introduction analysis (2nd ed.). New York: Harper and Row.

Yong, C. C., Yew, S. Y., & Wee, C. K. (2018). Financial knowledge, attitude, and behavior of young working adults in Malaysia. Institutions and Economies, 10(4), 21–48.

Zia, B., Randall, D., & Hakizimfura, E. (2018). The impact of financial education through saving and credit cooperatives in Rwanda. WBG, Washington D.C.