DETERMINANTS OF PERSONAL FINANCIAL MANAGEMENT DECISIONS: A COMPARISON OF SELF-EMPLOYED GENERATION X AND GENERATION Y IN EMBAKASI EAST CONSTITUENCY OF NAIROBI, KENYA

Authors

  • Audrey Adhiambo Onyango Catholic University of Eastern Africa

Abstract

Personal financial management (PFM) decisions greatly influence living standards, the performance of organizations, and by extension, the economy. Since every generation is unique, Generation X and Y more often than not demonstrate different decisions on PFM. The general objective of the study was to investigate and compare the determinants of personal financial management decisions among the self-employed Generations X and Y in Embakasi East constituency of Nairobi, Kenya as guided by four independent variables; financial knowledge, demographic factors which are age, education level, marital status and income level; financial attitude and financial locus of control (LOC). Out of a target population of 5,440 individuals, a sample of 372 was selected whereby 304 individuals were Generation X and 68 were Generation Y. The response rate was 82.26%. The study findings indicated that in general, financial knowledge, financial attitude, financial locus of control, and level of income were positively and significantly associated with PFM decisions of self-employed Generation X and Y in Embakasi East constituency while gender and marital status had no significant influence. The comparative results showed that financial knowledge has a significant influence on PFM decisions for both Generation X and Y. On the other hand, financial LOC did not have a significant effect on PFM decisions for both generations. Whereas financial attitude significantly influences PFM decisions of Generation X, it did not have a significant effect on PFM decisions for Generation Y. The study concluded that most Generation X and Y business owners in Embakasi East are low income earners but are knowledgeable about the basic financial concepts. In addition, most self-employed Generation X and Y are risk averse. The study recommended that government agencies, micro finance institutions and banks should increase specialized financial education programs for each generation with a focus on Generation Y in order to not only create, but also increase awareness and encourage risk diversification.

Keywords: Financial Management Decisions, Generation X & Generation Y

Author Biography

Audrey Adhiambo Onyango, Catholic University of Eastern Africa

Postgraduate Student, The Catholic University of Eastern Africa

References

Aghababaei, M.E & Khademi, S. (2019). Factors affecting personal financial management behaviors. The case of Iranian youth. Journal of financial management strategy. 7, 24-51.

Agravat, D.R & Kaplelach, M.S. (2017). Effects of demographic characteristics on micro-pension among informal employees of KPA. Journal of Business and Strategic Management, 2(2), 95-117

Aime, P., & Cohart, J. (2014). Workplace financial education facilitates improvement in personal financial behaviors. Journal of Finance Counseling and planning, 25(1)

Albeerdy, M.L., & Gharleghi, B. (2015). Determinants of financial literacy among college students in Malaysia. International Journal of Business Administration, 6(3)

Alwi, S., Amir Hashim, I. Z., & Ali, M. S. (2015). Factors affecting savings habits within millennials in Malaysia: Case study on students of Taylor’s university. In Proceedings of the Fourth Asia-Pacific Conference on Global Business, Economics, Finance and Social Sciences (pp. 1-10).

Ameliawati, M., & Setiyani, R. (2018). The influence of financial attitudes, financial socialization, and financial experience to financial behavior with financial literacy as mediating variable. KnE Social Sciences, 811-832

Antwi, S.K & Hamza, K. (2015). Qualitative and quantitative research paradigms in business research: a philosophical reflection. European Journal of Business Management, 7(3), 217-225

ANZ (2014). ANZ Survey of Adult Financial Literacy in Australia. Retrieved 03 November 2019 from http://www.anz.com/resources/

Bain, L. (2017). Statistical analysis of reliability and life-testing models: theory and methods. New York. Routledge.

Bauer, D. L., Collins, D. T., & Richardson, K. (2001). Attitudes about Financial Wealth: Generational Comparisons of Gen-Xers vs. Millennials. Journal of Business & Economic Policy, 4(2), 30-35.

Bell, E., Bryman, A., & Harley, B. (2018). Business research methods. Oxford university press. London.

Benartzi, S., & Thaler, R.H. (2001). Naïve diversification strategies in defined contribution plans.American Economic Review, 91, pp. 79–99.

Bernasek, A., &Shwiff, S. (2001). Gender, risk, and retirement. Journal of Economic Issues, 35(2), 345-356

Blackler, F. & Williams, R. (1971). Motives and behavior at work. London: Cox & Wyman

Bonett, D.G., & Wright, T.A. (2015). Cronbach’s alpha reliability: Internal estimation, hypothesis testing, and sample size planning. Journal of Organization Behavior, 36(1), 3-15

Borden, L. M., Lee, S. A., Serido, J., & Collins, D. (2018). Changing college students’ financial knowledge, attitudes, behavior through seminar participation, Journal of Family and Economic Issues, 29(1): 23-40.

Boshoff, E., & Van Zyl, E.S. (2017). The relationship between locus of control and ethical behavior among employees in the financial sector. Koers 76(2), 283-303

Britt, S., CumBie, J.A., & Bell, M.M. (2013). The influence of locus of control on student financial behavior, College student Journal, 47(1): 178 – 184.

Carracio, M. (2017). An investigation of the relationship between financial academic achievement and high school students’ perceived level of satisfaction of needs in selected Southeast Tennessee schools. Journal of Business Management and Economics, 3(2), 69-78

Charles, S., Dallery, T., & Marie, J. (2015). Why the Keynesian multiplier increases during hard times: a theoretical explanation based on renters’ saving behavior. Metroeconomica, 66(3), 451-473

Darmawan, A., Suyoto, S., & Hidayah, U.A. (2014). The effects of financial literacy, financial experience, and locus of control towards financial management attitude and family investment planning behavior in Purworketo. Journal of Business Management and Economics, 1(2), 88-131.

Delafrooz, N., & Paim, L.H. (2011). Determinants of saving behavior and financial problem among employees in Malaysia. Australian Journal of Basic and Applied Sciences, 5(7), 222-228

Delavande (2018). Preparation for retirement, financial literacy, and cognitive resources. University of Michigan retirement research center, Working Paper, 190-221.

Dessart, A.M., Kuylen, A.A. (2016). The nature, extent, cause, and consequence of problematic debt situations, Journal of Consumer Policy, 9(3): 311-334.

Dhankar, R., & Maheshwari, S. (2016). Behavioral finance: A new paradigm to explain momentum effect. Available at SSRN 2785520.

Dowling, N.A., Corney, T., & Hoiles, L. (2019). Financial management practices and money attitudes as determinants of financial problems and dissatisfaction in young male Australian workers, Journal of Financial Counseling and Planning, 20(2): 5-13.

Ebeling, P.A., Dent, D.L., & Kempenich, J.W. (2020). The generation Y have arrived: What the surgeon educator needs to know to teach generation Y. Surgery, 167(2), 265-268

Edmonds, W. A., & Kennedy, T. D. (2016). An applied guide to research designs: Quantitative, qualitative, and mixed methods. Sage Publications. New York

F.S.D. Kenya (2019). Fin access national survey: dynamics of Kenya’s changing financial landscape. FSD White Paper.

Fakhry, B. (2016). A literature review of behavioral finance. Journal of Economics Library, 3(3), 458-465.

Fama, E.F. (1952). Efficient capital markets. The Journal of Finance, 46(5), 1575-1617

Ferry, N. (2017). Factors influencing financial choices among adolescents and young adults in rural Pennsylvania. Journal of Extension, 44(3), 1-6

Financial Intelligence Inc. (2008). Welcome to financial intelligence: the confidence and ability to do anything. Retrieved from http://www.financialiq.ca

Folk, J.Y., Beh, L.S., & Baranovich, D.L. (2012). Financial education: Determinants of financial retirement planning in Malaysia. Journal of Business Management and Economics, 3(2), 69-78

Funfgeld, B., & Wang, N. (2019). Attitudes and behavior in everyday finance: Evidence from Switzerland. International Journal of Bank Marketing, 4(12), 77-90

Gallery, N, Brown G., Furneaux, K., & Palm C (2011). Financial literacy and pension investment decisions. Financial Accountability and Management, 27 (3), pp. 286–307.

George, D., & Mallery, P. (2013). SPSS for Windows step by step: A simple guide and Reference, 4th edition, Boston: Allyn & Baco

Gerhard, P., Gladstone, J.J., & Hoffman, A.O. (2018). Psychological characteristics and household savings behavior: The importance of accounting for latent heterogeneity. Journal of Economic Behavior and Organizations, 148, 66-82

Gonzales, N. A., Cauce, A. M., Friedman, R. J., & Mason, C. A. (1996). Family, peer, and neighborhood influences on academic achievement among African-American adolescents: One-year prospective effects. American journal of community psychology, 24(3), 365.

Grable, J.E., Park, J., & Joo, S. (2019). Explaining financial management behavior for Koreans living in the United States. Journal of Consumer Affairs, 43(1): 80-105.

Hayes, J.V. (2016). Money attitudes, economic locus of control, and financial strain among college students. Doctor of philosophy dissertation, Texas Tech University.

Heale, R., & Twcross, A. (2015). Validity and reliability in quantitative studies. Evidence-Based Nursing, 18(3), 66-67

Hirshleifer, D. (2015). Behavioral finance. Annual Review of Financial Economics, 7, 133-159

Howe, T., & Strauss, P. (2004). Generation X: How understanding this population leads to better safety programs. Professional Safety, 45(1), 26

Ibrahim, M.E. & Alqaydi, F.R (2013). Financial Literacy, Personal Financial Attitude, and Forms of Personal Debt among Residents of the UAE, International Journal of Economics and Finance, 5(7): 126 – 138.

Imbens, G. W., &Kolesar, M. (2016). Robust standard errors in small samples: Some practical advice. Review of Economics and Statistics, 98(4), 701-712.

Jalil, M.R., Islam, G.M., & Hassan, M. (2013). Household empowerment as the key to eradicating poverty incidence. Asian Social Work and Policy Review, 13(1), 4-24

Kaldor, N. (2015). Keynesian economics after fifty years”. In Essays of Keynesian and Kaldorian Economics (pp. 27-74). Palgrave Macmillan: London

Kaur, P., & Hassan, C. (2019). Personal financial behavior: The influence of quantitative literacy and materials’ values. Numeracy, 6(1), 3.

Kenya National Bureau of Statistics (2015). Exploring Kenya’s inequality: Nairobi County [available online] www.knbs.or.ke/publications.

Kenya National Bureau of Statistics (2016). Micro, small and medium enterprises: Basic report [available online] www.knbs.or.ke/publications,

Kenya National Bureau of Statistics (2019) FinAccess household survey report [available online] www.knbs.or.ke/publications,

Kenya National Bureau of Statistics (2019). Kenya population and housing census: Distribution of population by socio-economic status, Volume IV [available online] www.knbs.or.ke/publications,

Kidwell, B. & Robert, T. (2014). An examination of college student’s money management tendencies. Journal of Economic Psychology, 25(5), 606-616

Lai, M.M., & Tan, W.K. (2019). An empirical analysis of personal financial planning in an emerging economy. European Journal of Economic Finance and Administrative Science, 16(1), 99,111

Loison, S.A. (2019). Household livelihood diversification and gender. Panel evidence from rural Kenya. Journal of Rural Studies, 69, 156-172

Mansor, M.F., Chor, C.F., Abu, N.H., Shaari, M.S. (2015). Demographic factors associated with retirement and planning: A study of employees in Malaysian health sector. Asian Social Science, 11(13), 108-116

Marglin, S.A., & Bhaduri, A. (1991). Profit squeeze and Keynesian theory. In Nicholas Kaldor and Mainstream Economics (pp. 123-163). Palgrave Mcmillan: London

Markowitz, H. (1952). The utility of wealth. Journal of Political Economy, 60(2), 151-158

Maslow, A.H. (1954). The instincoid nature of basic needs. Journal of Personality. 41(5), 673-690.

Mbuthia, A.N. (2011). Households’ saving decisions in Kenya. The school of economics of Kenyatta University. International Journal of Business and Management, 6(2), 125-145

Mcregor, D. (1960). The human side of needs (Vol. 21, pp. 166-171). New York: Mcgraw-Hill.

Mien, N.T.N., & Thao, T.P. (2015). Factors affecting personal financial management behavior: Evidence from Vietnam. In Proceeding of the Second Asia-Pacific Conference on Global Business, Economic, Finance and Social Sciences (APIS Vietnam Conference), pp 10-12.

Modigliani, F. (1986). Life cycle, individual thrift, and the wealth of the nations. Science, 234(4777), 704-712

Modigliani, F., & Brumberg, R. (1954). Utility analysis and consumption function: An interpretation of cross-section data. Franco Modigliani, 1(1), 388-436

Mohd, R., Mohamad, S., Nor, N. &Kamarudin, N. (2015). Measuring financial intelligence of Malaysian Gen Y: A preliminary study. Durresamin Journal, 1(4), 2204-9827.

Mokhtar, N., Husniyah, A. R., Sabri, M. F., & Talib, M. A. (2017). Financial well-being among public employees in Malaysia: A preliminary study. Asian Social Science, 11(18), 49-54.

Mwathi, A.W. (2017). Effects of financial literacy on personal financial decisions among Egerton University employees, Nakuru County, Kenya. Journal of Finance and Economics, 10(11), 231-255

Neuman, W. L. (2011). Basics of Social Research: Qualitative and Quantitative Approaches, 2/E, Pearson Education. London

Njuguna, A.G., & Otsola, J.K. (2015). Predictors of pension finance literacy: A survey of members of occupational pension schemes in Kenya. Journal of finance and Economics, 2(3), 122-127

Nwibo, S. U. & Alimba, J. O. (2013). Determinants of Investment Decisions among Agribusiness Investors in South-East, Nigeria. Journal of Business and Management (IOSR-JBM), 8(6), 60-67

O’brien, R.M. (2007). A caution regarding rules of thumb of variance inflation factors. Quality - and quantity, 41(5), 673-690.

OECD INFE (2011) Measuring Financial Literacy: Core Questionnaire in Measuring Financial Literacy: Questionnaire and Guidance Notes for conducting an Internationally Comparable Survey of Financial literacy. Paris: OECD.

Okech, T.C., & Munyoki, I. (2012). Empirical analysis of personal debt among the youth in Kenya. The case of graduates in Kenyan Universities. International Finance Journal, 7(43), 312-322

Olsen, R. A. (2008). Cognitive dissonance: The problem facing behavioral finance. Journal of Behavioral Finance, 9, 1–4.

Ongore, V.O., & Kusa, G.B. (2013). Determinants of personal financial management among Kenya commercial banks’ employees. International Journal of Economics and Finance Issues, 3(1), 237

Qamar, M.A.J., Khemta, M.A.N., & Jamil, H. (2016). How knowledge and financial self-efficacy moderate the relationship between money attitude and personal financial management behavior. European Online Journal of Natural and Social Sciences, 5(2), 296

Rajna, A., Ezat, W.P.S., Junid, S.A., & Moshiri, H. (2017). Financial management attitude and practice among the medical practitioners in public and private medical service in Malaysia. International Journal of Business and Management, 6(8), 105-113.

Resnik, D. B. (2019). Institutional conflicts of interest in academic research. Science and engineering ethics, 1-9.

Rotter, J.B. (1967). A new scale for the measurement of interpersonal trust. Journal of Personality, 35(4), 651-665

Sabri, M.F., and Juen, T.T. (2014). The influence of financial literacy, savings behavior and financial management on retirement confidence among women working in Malaysian public sector. Asian Social Sciences, 10(14), 40

Saunders, M. N., & Bezzina, F. (2015). Reflections on conceptions of research methodology among management academics. European management journal, 33(5), 297-304.

Sekaran, U. (2003) Research methods for business -A skill building approach, 4th edition: John Wiley & Sons Inc.

Shaikh, A.R.H., & Kalkundrikar, A.B. (2011). Impact of demographic factors on retail investors’ investment decisions-an exploratory study. Indian Journal of Finance, 5(9), 35-44

Sharma, P.R., & Bohara, Y.R. (2010). Personal finance knowledge and practice: An opinion survey with employed and self-employed people in Pokhara. Journal of Nepalese Business Studies, 7(1), 80-99

Smith, T. (2003). Evaluating the outcome of personal financial education. Consumer Interest Annual, 49, 1-3

Stewart, J. S., Oliver, E. G., Cravens, K. S., & Oishi, S. (2017). Managing generation Y: Embracing generational differences. Business Horizons, 60(1), 45-54.

Tennyson, S., & Nguyen, C. (2017). State curriculum mandate and student knowledge of personal finance. Journal of Consumer Affairs, 35(2), 241-262

Twenge, J, (2018). How are generations named? Retrieved 21 January 2021 from https://www.pewtrusts.org/en/trend/archive/winter-2018/how-are-generations-named

Varcoe, K., Allen, M., Devitto, Z., & and Go, C. (2015). Using financial education curriculum for teens. Journal of Financial Counseling and Planning, 16(1)

Yamane, T., (1967). Statistics: An Introductory Analysis”. 2nd ed. New York: Harper and Row.

Yap, S., Chong, W.Y., Leow, H.W., &Chok, N.V (2017). The importance of financial literacy on Malaysian household retirement planning. International Business Management, 11(7), 1457-1461

Yin, R. K. (2013). Validity and generalization in the future case study evaluations of SMEs. Evaluation, 19(3), 321-332.

Zakaria, R.H., Jaafar, N.I.M., & Marican, S. (2012). Financial behavior and financial position: a structural equation modeling approach, Middle-East Journal of Scientific Research, 12(10): 1396-1402.

Zameer, Q.A., & Devasagayam, A. (2015). Cognitive dissonance and buyers’ coping mechanisms. A comparative study of characteristics and Indian consumers. International Journal of Business Administration, 6(3), 1-14.

Zhou, Y., & Dendukuri, N. (2014). Statistics for quantifying heterogeneity in univariate and bivariate meta analyses of binary data: Statistics in Medicine, 33(16), 2701-2717.

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Published

2021-06-15

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Onyango, A. A. . (2021). DETERMINANTS OF PERSONAL FINANCIAL MANAGEMENT DECISIONS: A COMPARISON OF SELF-EMPLOYED GENERATION X AND GENERATION Y IN EMBAKASI EAST CONSTITUENCY OF NAIROBI, KENYA. African Journal of Emerging Issues, 3(3), 83–104. Retrieved from https://ajoeijournals.org/sys/index.php/ajoei/article/view/183

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