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Applying the health action process approach model (goodness) in explaining micro savings behavior | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 3، دوره 15، شماره 12، اسفند 2024، صفحه 25-36 اصل مقاله (496.52 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30564.4432 | ||
| نویسندگان | ||
| Sajjad Khazaei1؛ Hosein Vazifehdust* 1؛ Mohammad Bameni Moghadam2 | ||
| 1Department of Business Management, Faculty of Management and Economics, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Statistics, Faculty of Mathematics and Computer Statistics, Allameh Tabatabai University, Tehran, Iran | ||
| تاریخ دریافت: 17 بهمن 1401، تاریخ پذیرش: 02 خرداد 1402 | ||
| چکیده | ||
| In this research, the fit of the model according to the GOF criterion shows a strong fit for this model. Also, based on the standardized root mean square residual index (SRMR), which has recently become more preferred, the acceptable fit of this model has been confirmed. The findings showed that firstly, there is a significant correlation between the constructs of the health action process approach model and micro-savings behavior among the study participants. Secondly, the constructs of action self-efficacy, outcome expectations and risk awareness were able to predict 62% of the variance of behavioral intention, and also, the intention with the mediation of planning together with maintenance self-efficacy and recovery self-efficacy, 59% of the behavior variance. They predicted small savings. Conclusion: In this study, we found that intention, action self-efficacy, planning and self-efficacy play a role as the most important determining factors in the adherence to savings in the target community. It was found that HAPA is useful in determining the predictors of adherence to savings among people. It is promising to design intervention programs to improve the level of adherence to savings by considering these factors. Macro policymakers and market leaders, especially financial businesses, should focus on the self-efficacy and planning of people in designing such interventions so that they can change the financial behavior of customers for the benefit of savings for themselves and their customers. | ||
| کلیدواژهها | ||
| savings؛ saving intention؛ health action process policy؛ micro savings؛ structural equation model | ||
| مراجع | ||
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[1] M. Baghiani-Moghaddam, S. Norouzi, M. Morowati-sharifabad, and A. Norouzi, Evaluation of the health action process approach to improve mothers’ parenting skills, Health Syst. Res. 9 (2014), no. 14, 1815–28. [2] T. Carvalho, M.-J. Alvarez, M. Barz, and R. Schwarzer, Preparatory behavior for condom use among heterosexual young men: A longitudinal mediation model, Health Educ. Behav. 42 (2015), no. 1, 92–99. [3] K.M. Durante and J. Laran, The effect of stress on consumer saving and spending, J. Market. Res. 53 (2016), no. 5, 814–828. [4] R.S. Halinski and L.S. Feldt, The selection of variables in multiple regression analysis, J. Educ. Measur. 7 (1970), no. 3, 151–157. [5] R. Helman, C. Copeland, and J. VanDerhei, The 2010 retirement confidence survey: Confidence stabilizing, but preparations continue to erode (issue brief no. 340), Retrieved from Employment Benefit Research Institute website: http://www. ebri. org/pdf/briefspdf/EBRI IB 03-2010 No340 RCS. pdf (2010). [6] J. Henseler, C.M. Ringle, and M. Sarstedt, A new criterion for assessing discriminant validity in variance-based structural equation modeling, J. Acad. Market. Sci. 43 (2015), 115–135. [7] H. Hooman, Structural equation modeling with software application, Samt publication, 2014. [8] L.T. Hu and P.M. Bentler, Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Struct. Equ. Model. 6 (1999), no. 1, 1–55. [9] C. Huddleston, Survey: 69% of Americans have less than $1,000 in savings, GOBankingRates 16 (2019). [10] J.M. Keynes, The general theory of interest, employment and money, London: MacMillan, 1936. [11] S. Khazaei, H. Vazifehdoust, and M. Bamani Moghadam, Application of planned behavior model in explaining micro-savings behavior, Med. J. Mashhad Univ. Med. Sci. 63 (2020). [12] S.E.G. Lea, R.M. Tarpy, and P.M. Webley, The Individual in the Economy: A Textbook of Economic Psychology, CUP Archive, 1987. [13] D.E. Miller and J.T. Kunce, Prediction and statistical overkill revisited, Measur. Eval. Guid. 6 (1973), no. 3, 157–163. [14] F. Modigliani, The life cycle hypothesis of saving, the demand for wealth and the supply of capital, Soc. Res. (1966), 160–217. [15] A.H. Munnell, F. Golub-Sass, and A. Webb, Is There Really a Retirement Savings Crisis? An NRRI Analysis, Center for Retirement Research at Boston College Chestnut Hill, MA, 2007. [16] H. Naito, A. Ismailov, and A.B. Kimaro, The effect of mobile money on borrowing and saving: Evidence from Tanzania, World Dev. Perspect. 23 (2021), 100342. [17] S. Ranjbaran, D. Shojaeizadeh, T. Dehdari, M. Yaseri, and E. Shakibazadeh, Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach, Heliyon 6 (2020), no. 7, e04442. [18] H. Rohani, A.A. Eslami, M. Raei, K.T. Jafari, and A. Ghaderi, Evaluation of health action process approach in explaining healthy diet among the patients with type 2 diabetes, Qom Univ. Med. Sci. J. 9 (2015), no. 7, 55–64. [19] R. Schwarzer, Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors, Appl. Psycho. 57 (2008), no. 1, 1–29. [20] R. Schwarzer, Self-Efficacy: Thought Control of Action, Taylor & Francis, 2014. [21] F.F. Sniehotta, U. Scholz, and R. Schwarzer, Bridging the intention–behaviour gap: Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise, Psycho. Health 20 (2005), no. 2, 143–160. [22] P. Taylor, C. Funk, and A. Clark, We try hard. we fall short. Americans assess their saving habits, Soc. Trends Rep. (2010). [23] M. Tenenhaus, V.E. Vinzi, Y.M. Chatelin, and C. Lauro, Pls path modeling, Comput. Statist. Data Anal. 48 (2005), no. 1, 159–205. [24] G. Ulkumen and A. Cheema, Framing goals to influence personal savings: The role of specificity and construal level, J. Market. Res. 48 (2011), no. 6, 958–969. [25] K.E. Warneryd, On the psychology of saving: An essay on economic behavior, J. Econ. Psycho. 10 (1989), no. 4, 515–541. [26] M. Wetzels, G. Odekerken-Schroder, and C. Van Oppen, Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS Quart. (2009), 177–195. [27] C.Q. Zhang, M.C.Y. Wong, R. Zhang, K. Hamilton, and M.S. Hagger, Adolescent sugar-sweetened beverage consumption: An extended health action process approach, Appetite 141 (2019), 104332. | ||
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