Identifying and explaining the topics in the financial literacy training using fuzzy Delphi approach
Subject Areas : Financial MathematicsFatemeh Kazempour Dizaji 1 , Mohammadhamed Khanmohammadi 2 , Mahmood Moeinuddin 3
1 - Department of Accounting, Damavand Branch, Islamic Azad University, Damavand, Iran
2 - Department of Accounting, Damavand Branch, Islamic Azad University, Damavand, Iran
3 - Department of Accounting, Yazd Branch, Islamic Azad University, Yazd, Iran
Keywords:
Abstract :
[1] Azar, A., Faraji, H., Fuzzy Management Science, Iran Center for Studies and Productivity, Mehraban Publications, 2016.
[2] Taftian, A., Houshyarzadeh, M., The necessity of financial education and financial and economic literacy in the educational system: experimental results in the educational system of the Czech Republic. 3rd International Conference on Management, Knowledge-Based Accounting and Economics, 2017.
[3] Feyzi, K. Dehghan, H., Determining the specialized and joint measures of comprehensive quality management, Timely production and comprehensive maintenance of commercial excavations, 2009, 1(2), P. 109-132.
[4] Mashayekhi, A., Farhangi, A., Momeni, M., Alidosti, S., Investigating the key factors affecting the use of information technology in Iranian government organizations: The Delphi method application, 2005.
[5] Moinoddin, M. Heyrani, F. Hamedinia, H., Investigating the financial literacy of government employees and its impact on their financial well-being and financial strategies, Master Thesis of Islamic Azad University, Yazd Branch, 2013.
[6] Mirsepasi, N., Toloui Ashlaqi, A., Memarzadeh, Gh., Peydaee, M., Designing a model of human resources excellence in Iranian governmental organizations using fuzzy Delphi technique, Management research, 2010, 21(87), P. 1-23.
[7] Yaqubnejad, A., Nikomaram, H., Moinoddin, M., Providing a model for measuring the financial literacy of Iranian students using fuzzy Delphi method, Financial Engineering and Securities Management, 2011, 2(8), P. 1-49.
[8] Blue, L., Grootenboer, P., Brimble, M., Financial literacy education in the curriculum: Making the grade or missing the mark? International Review of Economics Education, 2014, 16(A), P. 51-62. Doi: 10.1016/j.iree.2014.07.005
[9] Bowen, C. F., Financial Knowledge of Teens and Their Parents, Financial Counseling and Planning, 2002, 13(2), P. 93-102.
[10] Calcagno, R., Monticone, C., Financial literacy and the demand for financial advice, Journal of Banking and Finance, 2015, 50, P. 363-380. Doi: 10.1016/j.jbankfin.2014.03.013
[11] Huston, S.J., Measuring financial literacy, Journal of Consumer Affairs, 2010, 44(2), P. 296-316. Doi: 10.1111/j.1745-6606.2010.01170.x
[12] Hung, A.A., Parker, A.M., Yoong, J., Defining and measuring financial literacy. RAND Corporation, 2009.
[9] Izadikhah, M., Farzipoor Saen, R. Solving voting system by data envelopment analysis for assessing sustainability of suppliers. Group Decis Negot, 2019, 28, P. 641–669. Doi: 10.1007/s10726-019-09616-7
[10] Izadikhah, M., Azadi, M., Toloo, M., Hussain, F.K., Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach, Applied Soft Computing, 2021, 113(B), Doi: 10.1016/j.asoc.2021.107879.
[11] Poordavoodi, A., Reza, M., Haj, H., Rahmani, A. M., Izadikhah, M., Toward a More Accurate Web Service Selection Using Modified Interval DEA Models with Undesirable Outputs. CMES-Computer Modeling in Engineering & Sciences, 2020, 123(2), P. 525–570. Doi: 10.32604/cmes.2020.08854
[12] Azadi, M., Izadikhah, M., Ramezani, F., Hussain, F.K., A mixed ideal and anti-ideal DEA model: an application to evaluate cloud service providers, IMA Journal of Management Mathematics, 2000, 31(20), P. 233–256, Doi: 10.1093/imaman/dpz012
[13] Izadikhah, M., A Fuzzy Goal Programming Based Procedure for Machine Tool Selection, 2015, 28(1), P. 361-372, Doi: 10.3233/IFS-141311
[14] Izadikhah, M. Financial Assessment of Banks and Financial Institutes in Stock Exchange by Means of an Enhanced Two stage DEA Model. Advances in Mathematical Finance and Applications, 2021, 6(2), P. 207-232. Doi: 10.22034/amfa.2020.1910507.1491
[15] Huang, Y., Hshiung Tzeng, G., Hsuan chen, Y., A fuzzy MCDM approach for evaluating banking performance based on BSC, Expert Systems with Applications, 2009, 36(6), P. 10135-10147, Doi: 10.1016/j.eswa.2009.01.005
[16] Lusardi, A., Financial literacy and the need for financial education: evidence and implications, Lusardi Swiss Journal of Economics and Statistics, 2019, 155(1). Doi: 10.1186/s41937-019-0027-5
[15] Lusardi, A., Household saving behavior: The role of financial literacy, information, and financial education programs, NBER Working Paper, No. 13824, retrieved from National Bureau of Economic, Research website: http://www.nber.org/papers/w13824, 2015.
[16] Miller, M., The case for financial literacy in developing countries, World Bank Group, Washington, DC. 2009.
[17] Paiella, M., Financial literacy and subjective expectations questions: A validation exercise, Research in Economics, 2016, 70(2), P. 360-374. Doi: 10.1016/j.rie.2015.11.004
[18] Ramagir, P. Samanto, G., Financial literacy education for adults, Basic theory and Education, 2017, 5(2).
[19] Xiao, J.J., Porto, N., Financial education and financial satisfaction: Financial literacy, behavior, and capability as mediators, International Journal of Bank Marketing, 2017, 35(5), P. 805-817. Doi: 10.1108/IJBM-01-2016-0009
[20] Davoodi Kasbi, A., Dadashi, I., Azinfar, K., Stock price analysis using machine learning method (Non-sensory-parametric backup regression algorithm in lin-ear and nonlinear mode), Advances in Mathematical Finance and Applications, 2021, 6(2), P.1-25. Doi: 10.22034/amfa.2019.1869838.1232
[21] Mashhadizadeh, M., Dastgir, M., Salahshour, S., Economic Appraisal of Investment Projects in Solar Energy under Uncertainty via Fuzzy Real Option Approach (Case Study: a 2-MW Photovoltaic Plant in South of Isfahan, Iran), Advances in Mathematical Finance and Applications, 2018, 3(4), P.29-51. Doi: 10.22034/amfa.2019.574157.1116
[22] Nasr, N., Farhadi Sartangi, M., Madahi, Z., A Fuzzy Random Walk Technique to Forecasting Volatility of Iran Stock Exchange Index. Advances in Mathematical Finance and Applications, 2019, 4(1), P.15-30. Doi: 10.22034/amfa.2019.583911.1172
