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Factors Influencing Employee Retirement Financial Planning: Evidence from Thai Higher Education Institutions

Umawadee Detthamrong, Lan Thi Nguyen, Khanittha Jitsaeng, Wirapong Chansanam, Chunqiu Li

Abstract


This research aimed to examine the factors that impact the financial planning for retirement among employees in Thai Rajabhat universities. To validate the theoretical framework and the collected empirical data, we utilized the confirmation factor analysis method, which allowed us to assess the relationship between the factors and examine how well the data fits the proposed model. We collected data from a sample of 433 employees by administering a 5-point Likert scale questionnaire. The collected data was subsequently analyzed using the Lavaan package in R Studio software. The research findings revealed that knowledge and understanding, financial status assessment, expected return or investment strategy, risk acceptance or risk tolerance, setting goals in life or goals’ clarity, and alternative sources of income or other income played important roles in shaping retirement financial planning among our study participants. To evaluate the theoretical structural model, we conducted statistical analyses and found that it fitted the empirical data at a significance level of 0.05. The statistical results of CMIN/df = 11, GFI = 0.941, AGFI = 0.848, FI = 0.946, and RMSEA = 0.000 provided evidence for the validity and reliability of the proposed model. Going forward, the resulting model will serve as a guideline to evaluate the efficiency of financial planning for the retirement of employees, provide solutions to identified problems, and inform policies and programs that aim to improve retirement financial planning for employees in the higher education sector.

 

Doi: 10.28991/ESJ-2024-08-04-08

Full Text: PDF


Keywords


Financial Planning; Retirement Age; Employees; Confirmatory Factor Analysis; Rajabhat University; Thailand.

References


Mndzebele, Z. W., & Kwenda, F. (2020). The effects of financial literacy on financial preparedness for retirement among academic staff in higher learning institutions in the kingdom of Eswatini. Acta Universitatis Danubius. Œconomica, 16(5), 253-268.

Herrador-Alcaide, T. C., Hernández-Solís, M., & Topa, G. (2021). A model for personal financial planning towards retirement. Journal of Business Economics and Management, 22(2), 482–502. doi:10.3846/jbem.2020.13978.

Mustafa, W. M. W., Islam, M. A., Asyraf, M., Hassan, M. S., Royhan, P., & Rahman, S. (2023). The Effects of Financial Attitudes, Financial Literacy and Health Literacy on Sustainable Financial Retirement Planning: The Moderating Role of the Financial Advisor. Sustainability (Switzerland), 15(3), 2677. doi:10.3390/su15032677.

Adam, A. M., Frimpong, S., & Boadu, M. O. (2017). Financial literacy and financial planning: Implication for financial well-being of retirees. Business and Economic Horizons, 13(2), 224–236. doi:10.15208/beh.2017.17.

Tomar, S., Kent Baker, H., Kumar, S., & Hoffmann, A. O. I. (2021). Psychological determinants of retirement financial planning behavior. Journal of Business Research, 133, 432–449. doi:10.1016/j.jbusres.2021.05.007.

García, J. M., & Vila, J. (2020). Financial literacy is not enough: The role of nudging toward adequate long-term saving behavior. Journal of Business Research, 112, 472–477. doi:10.1016/j.jbusres.2020.01.061.

van Rooij, M. C. J., Lusardi, A., & Alessie, R. J. M. (2011). Financial literacy and retirement planning in the Netherlands. Journal of Economic Psychology, 32(4), 593–608. doi:10.1016/j.joep.2011.02.004.

Ghadwan, A., Wan Ahmad, W. M., & Hanifa, M. H. (2022). Financial Planning for Retirement: The Mediating Role of Culture. Risks, 10(5), 104. doi:10.3390/risks10050104.

Harahap, S., Thoyib, A., Sumiati, S., & Djazuli, A. (2022). The Impact of Financial Literacy on Retirement Planning with Serial Mediation of Financial Risk Tolerance and Saving Behavior: Evidence of Medium Entrepreneurs in Indonesia. International Journal of Financial Studies, 10(3), 66. doi:10.3390/ijfs10030066.

Kaur, S., & Lehal, R. (2022). Psychological, Social and Economic Factors Influencing Financial Planning and Saving Practices in Context of Retirement–A Study of Service Sector Employees in Punjab. Prajnan, 51(1), 53-78.

Khairi, M. I., Susanti, D., & Sukono, S. (2021). Application of Structural Equation Model to Analyze Factors Affecting Financial Planning After Retirement. International Journal of Global Operations Research, 2(3), 103–109. doi:10.47194/ijgor.v2i3.87.

Safari, K., Njoka, C., & Munkwa, M. G. (2021). Financial literacy and personal retirement planning: a socioeconomic approach. Journal of Business and Socio-Economic Development, 1(2), 121–134. doi:10.1108/jbsed-04-2021-0052.

Zhu, A. Y. F., & Chou, K. L. (2018). Retirement goal clarity, needs estimation, and saving amount: Evidence from Hong Kong, China. Journal of Financial Counseling and Planning, 29(2), 328–342. doi:10.1891/1052-3073.29.2.328.

Stawski, R. S., Hershey, D. A., & Jacobs-Lawson, J. M. (2007). Goal clarity and financial planning activities as determinants of retirement savings contributions. The International Journal of Aging and Human Development, 64(1), 13–32. doi:10.2190/13GK-5H72-H324-16P2.

Ketkaew, C., Van Wouwe, M., Jorissen, A., Cassimon, D., Vichitthamaros, P., & Wongsaichia, S. (2022). Towards Sustainable Retirement Planning of Wageworkers in Thailand: A Qualitative Approach in Behavioral Segmentation and Financial Pain Point Identification. Risks, 10(1), 1–30. doi:10.3390/risks10010008.

Pavia, S., & Grima, S. (2019). Chapter 8 Retirement Planning: A Literature Review. Contemporary Issues in Behavioral Finance, 97–138. doi:10.1108/s1569-375920190000101008.

Pocol, C. B., Stanca, L., Dabija, D. C., Pop, I. D., & Mișcoiu, S. (2022). Knowledge Co-creation and Sustainable Education in the Labor Market-Driven University–Business Environment. Frontiers in Environmental Science, 10, 781075. doi:10.3389/fenvs.2022.781075.

Pornwannasiriwet, M., Jindarak, P, & Kasem, S. (2024). Factors affecting the preparation before retirement of higher education personnel in Chiang Mai Province. Journal of Business Administration the Association of Private Higher Education Institutions of Thailand, 13(1), 161-179.

Sangwichitr, K., & Intara, P. (2023). Financial planning knowledge, financial planning behavior, and adequacy of retirement savings: Evidence from personnel at Prince of Songkla University, Hatyai Campus. Journal of Namibian Studies: History Politics Culture, 34, 2975-2989.

Hutabarat, A. S. S., & Wijaya, C. (2020). Analysis the effect of financial literacy on financial planning for retirement (case study lecturers and administrative staffs in Universitas Indonesia). International Journal of Management, 11(5), 741–750. doi:10.34218/IJM.11.5.2020.066.

Mueller, R. O. (1996). Basic Principles of Structural Equation Modeling. Springer Texts in Statistics. Springer, New York, United States. doi:10.1007/978-1-4612-3974-1.

Vivel-Búa, M., Rey-Ares, L., Lado-Sestayo, R., & Fernández-López, S. (2019). Financial planning for retirement: the role of income. International Journal of Bank Marketing, 37(6), 1419–1440. doi:10.1108/IJBM-09-2018-0253.

Goda, G. S., Levy, M. R., Flaherty Manchester, C., Sojourner, A., Tasoff, J., & Xiao, J. (2023). Are retirement planning tools substitutes or complements to financial capability? Journal of Economic Behavior & Organization, 214, 561–573. doi:10.1016/j.jebo.2023.08.001.

Arrondel, L., Debbich, M., & Savignac, F. (2013). Financial Literacy and Financial Planning in France. Numeracy, 6(2). doi:10.5038/1936-4660.6.2.8.

Bongini, P., & Cucinelli, D. (2019). University students and retirement planning: never too early. International Journal of Bank Marketing, 37(3), 775–797. doi:10.1108/IJBM-03-2018-0066.

Johnson, A. C. (2001). Evaluating a financial assessment tool: the financial checkup. Master Thesis, Utah State University, Logan, United States.

Jang, C., Clare, A., & Owadally, I. (2022). Glide paths for a retirement plan with deferred annuities. Journal of Pension Economics & Finance, 21(4), 565–581. doi:10.1017/S1474747221000251.

Krishnan, V. & Lawrence, E. (2001). Financial Planning for Retirement: Plan Now to Retire Wealthy. Kogan Page Publishers, London, United Kingdom.

Agnew, J., Bateman, H., & Thorp, S. (2012). Financial Literacy and Retirement Planning in Australian. SSRN Electronic Journal. doi:10.2139/ssrn.2198641.

Hennessey, S. (2004). A practical approach to retirement planning. FMI Journal, 15(3), 26-30.

Cocco, J. F., Gomes, F. J., & Maenhout, P. J. (2005). Consumption and portfolio choice over the life cycle. Review of Financial Studies, 18(2), 491–533. doi:10.1093/rfs/hhi017.

Benzoni, L., Collin-Dufresne, P., & Goldstein, R. S. (2007). Portfolio choice over the life-cycle when the stock and labor markets are cointegrated. Journal of Finance, 62(5), 2123–2167. doi:10.1111/j.1540-6261.2007.01271.x.

Snedaker, S., & Rima, C. (2014). Business Continuity and Disaster Recovery Overview. Business Continuity and Disaster Recovery Planning for IT Professionals, 1–28, Syngress, Rockland, United States. doi:10.1016/b978-0-12-410526-3.00001-5.

Rahman, M. (2020). Propensity toward financial risk tolerance: an analysis using behavioural factors. Review of Behavioral Finance, 12(3), 259–281. doi:10.1108/RBF-01-2019-0002.

Qian, Y., Tan, W., & Wu, J. (2024). Household financial literacy and retirement planning in rural China. International Review of Financial Analysis, 93. doi:10.1016/j.irfa.2024.103130.

Yeung, D. Y., Ho, A. K. K., Lam, A. H. K., & Lam, A. C. H. (2023). An integrated model on purchase intentions of typical and tax-deductible saving products: The roles of retirement goal clarity and age. Journal of Behavioral and Experimental Economics, 104, 101995. doi:10.1016/j.socec.2023.101995.

Keynes, J. M. (1936). The General Theory of Employment Terest and Money. Macmillan and Company, New York, United States.

Duesenberry, J. S. (1949). Income, saving and the theory of consumer behavior. Harvard University Press, Cambridge, United States

Modigliani, F., & Brumberg, R. (2005). Utility Analysis and the Consumption Function. The Collected Papers of Franco Modigliani. MIT Press, Cambridge, United States. doi:10.7551/mitpress/1923.003.0004.

Mantilla-Garcia, D., Martellini, L., Garcia-Huitrón, M. E., & Martinez-Carrasco, M. A. (2024). Back to the funding ratio! Addressing the duration puzzle and retirement income risk of defined contribution pension plans. Journal of Banking & Finance, 159, 107061. doi:10.1016/j.jbankfin.2023.107061.

Carolina, N., Gunnar, B., Pia, T., & Peter, Ö. (2024). Individual, family, job, and organizational factors associated with retirement intentions among older long-term care workers: A systematic review. Geriatric Nursing, 56, 83–93. doi:10.1016/j.gerinurse.2024.01.005.

Cappelletti, G., Guazzarotti, G., & Tommasino, P. (2012). What Determines Annuity Demand at Retirement? The Geneva Papers on Risk and Insurance - Issues and Practice, 38(4), 777–802. doi:10.1057/gpp.2012.43.

Foster, L., & Smetherham, J. (2013). Gender and Pensions: An Analysis of Factors Affecting Women’s Private Pension Scheme Membership in the United Kingdom. Journal of Aging & Social Policy, 25(3), 197–217. doi:10.1080/08959420.2013.791783.

Hoffmann, A. O. I., & Plotkina, D. (2020). Why and when does financial information affect retirement planning intentions and which consumers are more likely to act on them? Journal of Business Research, 117, 411–431. doi:10.1016/j.jbusres.2020.06.023.

Topa, G., Lunceford, G., & Boyatzis, R. E. (2018). Financial planning for retirement: A psychosocial perspective. Frontiers in Psychology, 8, 2338. doi:10.3389/fpsyg.2017.02338.

Niu, G., Zhou, Y., & Gan, H. (2020). Financial literacy and retirement preparation in China. Pacific Basin Finance Journal, 59, 101262. doi:10.1016/j.pacfin.2020.101262.

Watkins, M. W. (2018). Exploratory Factor Analysis: A Guide to Best Practice. Journal of Black Psychology, 44(3), 219–246. doi:10.1177/0095798418771807.

de Mesquita, J. M. C., & Kostelijk, E. (2021). Marketing Analytics. Routledge, London, United Kingdom doi:10.4324/9781003196617.

Thakkar, J.J. (2020). Procedural Steps in Structural Equation Modelling. In: Structural Equation Modelling. Studies in Systems, Decision and Control, 285, Springer, Singapore. doi:10.1007/978-981-15-3793-6_3.

Ding, L., Velicer, W. F., & Harlow, L. L. (1995). Effects of Estimation Methods, Number of Indicators per Factor, and Improper Solutions on Structural Equation Modeling Fit Indices. Structural Equation Modeling: A Multidisciplinary Journal, 2(2), 119–143. doi:10.1080/10705519509540000.

Fitriana, N., Hutagalung, F. D., Awang, Z., & Zaid, S. M. (2022). Happiness at work: A cross-cultural validation of happiness at work scale. PLoS ONE, 17(1), 261617. doi:10.1371/journal.pone.0261617.

Tinsley, H. E. A., & Tinsley, D. J. (1987). Uses of Factor Analysis in Counseling Psychology Research. Journal of Counseling Psychology, 34(4), 414–424. doi:10.1037/0022-0167.34.4.414.

Boomsma, A., & Hoogland, J. J. (2001). The robustness of LISREL modeling revisited. Structural equation models: Present and future. A Festschrift in honor of Karl Jöreskog, 2(3), 139-168.

Hoe, S. L. (2008). Issues and procedures in adopting structural equation modelling technique. Journal of Quantitative Methods, 3(1), 76.

Hoogland, J. J., & Boomsma, A. (1998). Robustness studies in covariance structure modeling an overview and a meta-analysis. Sociological Methods & Research, 26(3), 329–367. doi:10.1177/0049124198026003003.

Nunnally, J. C. (1975). Psychometric Theory-25 Years Ago and Now. Educational Researcher, 4(10), 7–21. doi:10.3102/0013189x004010007.

Wang, J., & Wang, X. (2019). Structural Equation Modeling. Wiley Series in Probability and Statistics, John Wiley & Sons, Hoboken, United States. doi:10.1002/9781119422730.

Bentler, P. M., & Chou, C. P. (1987). Practical Issues in Structural Modeling. Sociological Methods & Research, 16(1), 78–117. doi:10.1177/0049124187016001004.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd Ed.). McGraw-Hill, New York, United States.

Fazella, S., Awang, Z., & Afthanorhan, A. (2017). Developing the patients’ loyalty model for medical tourism industry: the case of Malaysia. International Journal of Society Systems Science, 9(2), 139. doi:10.1504/ijsss.2017.10006657.

Dani, R. M., Mansor, N., Awang, Z., & Afthanorhan, A. (2022). a Confirmatory Factor Analysis of the Fraud Pentagon Instruments for Measurement of Fraud in the Context of Asset Misappropriation in Malaysia. Journal of Social Economics Research, 9(2), 70–79. doi:10.18488/35.v9i2.3063.

Mohamad, M., Awang, Z., & Ali, N. A. M. (2017). Validating the Maqasid Shariah Prison Quality of Life (MSPQoL) among drug-abuse inmates using confirmatory factor analysis. International Journal of Applied Business and Economic Research, 15(24), 91–103.

Awang, Z., Afthanorhan, A., Mohamad, M., & Asri, M. A. M. (2015). An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach. International Journal of Tourism Policy, 6(1), 29–45. doi:10.1504/IJTP.2015.075141.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.

Noor, N. M., Aziz, A. A., Mostapa, M. R., & Awang, Z. (2015). Validation of the Malay version of the inventory of functional status after childbirth questionnaire. BioMed Research International, 2015, 1–10. doi:10.1155/2015/972728.

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. doi:10.2307/3151312.

Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005). Cronbach’s, α Revelle’s β and McDonald’s ω H: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70(1), 123–133. doi:10.1007/s11336-003-0974-7.

Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford publications, New York, United States.

Wan Afthanorhan, D. W. M. A. (2013). Moderator-Mediator on Motivation Using Structural Equation Modeling: Confirmatory Factor Analysis, Multigroup Moderated Mediation, Structural Equation Modeling, Reliability and Validity. LAP LAMBERT Academic Publishing, Saarbrucken, Germany.

Moss, T. P., Lawson, V., & White, P. (2015). Identification of the underlying factor structure of the Derriford Appearance Scale 24. PeerJ, 3, e1070. doi:10.7717/peerj.1070.

Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1–36. doi:10.18637/jss.v048.i02.

RStudio Team (2015) RStudio: Integrated Development for R. RStudio, Inc. (Computer Software v0.98.1074), Boston, United States. Available online: http://www.rstudio.com/ (accessed on June 2024).

Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (6th Ed.). Pearson Prentice Hall, New York, United States.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. doi:10.1080/10705519909540118.

Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W. R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58(7), 935–943. doi:10.1016/j.jbusres.2003.10.007.

Rovinelli, R.J. and Hambleton, R.K. (1977). On the Use of Content Specialists in the Assessment of Criterion-Referenced Test Item Validity. Tijdschrift Voor Onderwijs Research, 2, 49-60.

Pallant, J. (2020). SPSS Survival Manual. Routledge, London, United Kingdom. doi:10.4324/9781003117452.

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. doi:10.1007/BF02291575.

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. doi:10.1007/BF02289447.

O’Connor, B. P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers, 32(3), 396–402. doi:10.3758/bf03200807.

Zwick, W. R., & Velicer, W. F. (1986). Comparison of Five Rules for Determining the Number of Components to Retain. Psychological Bulletin, 99(3), 432–442. doi:10.1037/0033-2909.99.3.432.

Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor Retention Decisions in Exploratory Factor Analysis: A Tutorial on Parallel Analysis. Organizational Research Methods, 7(2), 191–205. doi:10.1177/1094428104263675.

Raiche, G., & Magis, D. (2020). nFactors: Parallel analysis and other non-graphical solutions to the Cattell Scree Test. R package version, 2(1), 1-64.

Amani, J., Luvanga, B., Kihaga, H., Ndeskoi, T., & Gabriel, L. (2023). Why do academics fail to plan for retirement? Employers’ and employees’ views. Journal of Aging Studies, 64, 101103. doi:10.1016/j.jaging.2023.101103.


Full Text: PDF

DOI: 10.28991/ESJ-2024-08-04-08

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