International Journal of Nonlinear Analysis and Applications

Presentation of the model of financial behavior of accounting department employees of non-governmental public institutions based on data analytical skills (case example: Housing Foundation of Islamic Revolution)

Articles in Press

Document Type : Research Paper

Authors

1 Department of Accounting, Babol Branch, Islamic Azad University, Babol, Iran

2 Department of Accounting, University of Qom, Qom, Iran

3 Department of Accounting, Chalous Branch, Islamic Azad University, Chalous, Iran

Abstract

The current research was conducted with the aim of presenting the financial behavior pattern of accounting department employees of non-governmental public institutions based on data analytical skills. The statistical population of the current research was all employees of the accounting department of the Islamic Revolution Housing Foundation, which was determined by the Cochran formula to have a sample size of 294.  The information collected by questionnaires was analyzed by SPSS24 and Smart PLS3 software using structural equation modeling. The findings show that data analytical skills have a significant effect on the accountability of accounting department employees of non-governmental public institutions. Data analytical skills have a positive and significant effect on the participation of accounting department employees of non-governmental public institutions. Data analytical skills have a significant impact on compliance with the principles of corporate governance of accounting department employees of non-governmental public institutions. Analytical data skills have a positive and significant effect on compliance with the law of accounting department employees of non-governmental public institutions. Data analytical skills have a positive and significant effect on participation in other departments by accounting department employees of non-governmental public institutions. Data analytical skills have a positive and significant effect on the structuralism of accounting department employees of non-governmental public institutions. Data analytical skills have a positive and significant effect on the reporting quality of accounting department employees of non-governmental public institutions. Data analytical skills have a positive and significant impact on budgeting and budgetary expectations of accounting department employees of non-governmental public institutions. Finally, the results of the main hypothesis showed that data analytical skills have a positive and significant effect on the financial behavior of accounting department employees of non-governmental public institutions.

Keywords

[1] J. Afkhami Ardakani, K. Azinfar, I. Dadashi, and R. Falah, The effect of data analysis skills on the financial behavior of employees in the accounting department of non-governmental public institutions, Iran. Politic. Sociol. Month. 5 (2022), no. 11, 362–385.
[2] N. AlQershi, Strategic thinking, strategic planning, strategic innovation and the performance of SMEs: The mediating role of human capital, Manag. Sci. Lett. 11 (2021), no. 3, 1003–1012.
[3] S. Alsabban and O. Alarfaj, An empirical analysis of behavioral finance in the Saudi stock market: Evidence of overconfidence behavior, Int. J. Econ. Financ. Issues 10 (2020), no. 1, 73.
[4] L.M. Andiola, E. Masters, and C. Norman, Integrating technology and data analytic skills into the accounting curriculum: Accounting department leaders’ experiences and insights, J. Account. Educ. 50 (2020), 100655.
[5] A. Antony and A.I. Joseph, Influence of behavioural factors affecting investment decision—An AHP analysis, Metamorphosis 16 (2017), no. 2, 107–114.
[6] A.A. Asghari and M. Salimi Baher, Financial behavior, the application of psychology in financial knowledge, First Int. Nat. Conf. Manag. Account. Law Stud., Tehran, 2018.
[7] M.A.M. Ashraf, R. Yusoh, M.A. Sazalil and M.H.Z. Abidin, Aguifer characterization and groundwater potential evaluation in sedimentary rock formation, J. Phys.: Conf. Ser. IOP Pub. 995 (2018), no. 1, 012106.
[8] M. Ashrafi, S.A. Hosseini and S. Mazloumi, The role of accounting in the behavioral financial psychology of investors, Second Int. Conf. Recent Innov. Econ. Manag. Account., Tehran, 2018.
[9] A. Atkinson and F.-A. Messy, Measuring financial literacy: Results of the OECD/International Network on Financial Education (INFE) pilot study, OECD Working Papers on Finance, Insurance and Private Pensions, OECD Publishing, Paris, (2012), no. 15.
[10] E.C. Chang, J.W. Cheng, and A. Khorana, An examination of herd behavior in equity markets: An international perspective, J. Bank. Finance 24 (2000), no. 10, 1651–1679.
[11] W.G. Christie and R.D. Huang, Following the pied piper: do individual returns herd around the market?, Financ. Anal. J. 51 (1995), no. 4, 31–37.
[12] A. Etemadi and S.A. Payami, Using the data envelopment analysis technique in order to evaluate the efficiency of companies admitted to the Tehran Stock Exchange based on the financial reporting model, Nat. Conf. New Approach. Manag. Econ. Account., Tehran, 2017.
[13] A. Hellmann, L. Ang and S. Sood, Towards a conceptual framework for analysing impression management during face-to-face communication, J. Behav. Exper. Finance 25 (2020), 100265.
[14] S. Hwang and M. Salmon, Sentiment and beta herding, SSRN:http://ssrn.com/abstract, (2009), p. 299919.
[15] V. Kandpal and R. Mehrotra, Role of behavioral finance in investment decision-a study of investment behavior in India, Int. J. Manage. Stud. 4 (2018), no. 6, p. 39.
[16] A. Lusardi and O.S. Mitchell, The economic importance of financial literacy: Theory and evidence, Amer. Econ. J.: J. Econ. Literature 52 (2014), no. 1, 5–44.
[17] J.H. Marler and J.W. Boudreau, An evidence-based review of HR analytics, Int. J. Human Resource Manag. 28 (2017), no. 1, 3–26.
[18] A. Noorbakhsh, M. Movaffagi and M.J. Tavakoli, Investigating the effect of behavioral financial knowledge of executive managers of investment funds on market perception and self-understanding, Interdiscip. Stud. Manage. Eng. 5 (2022), 1–15.
[19] O.E. Ogunlusi and O. Obademi, The impact of behavioural finance on investment decision-making: A study of selected investment banks in Nigeria, Glob. Bus. Rev. 22 (2021), no. 6, 1345–1361.
[20] S.J. Roohani and A.J. Markelevich, On application of accounting data analytics in the accounting curriculum, Available at SSRN 2840455, 2016 (2016).
[21] H.R. Salmani Mojaveri and S. Khosravian, The effect of financial-behavioral components on the decision-making (investment pattern) of real investors in the Tehran Stock Exchange market, Second Int. Conf. New Find. Account. Manag. Econ. Bank., 2017.
[22] K. Samson and R. Bhanugopan, Strategic human capital analytics and organisation performance: The mediating effects of managerial decision-making, J. Bus. Res. 144 (2022), 637–649.
[23] M.A. Sattar, M. Toseef, and M.F. Sattar, Behavioral finance biases in investment decision making, Int. J. Account. Finance Risk Manag. 5 (2020), no. 2, 69.
[24] V.R. Sudindra and J.G. Naidu, Financial behaviour and decision-making, Int. J. Creative Res. Thoughts 6 (2018), no. 1, 1427–1435.
[25] N. Tang and A. Baker, Self-esteem, financial knowledge and financial behavior, J. Econ. Psych. 54 (2016), 164–176.
[26] S. Thomas, M. Goel, and D. Agrawal, A framework for analyzing financial behavior using machine learning classification of personality through handwriting analysis, J. Behav. Exper. Finance 26 (2020), 100315.
[27] M. Vahdati and M.H. Abdur Rahimian, A review of behavioral finance and its effects on the Tehran Stock Exchange, Second Nat. Conf. Fund. Res. Manag. Accounting, Tehran, 2018.
[28] K. Yakideh and L. Akhwan Delimi, Evaluating the financial strength of companies using data envelopment analysis (case study: companies listed in Tehran Bahadur Stock Exchange), Second Int. Ind. Manag. Conf., Babolsar, Mazandaran University, 2016.
International Journal of Nonlinear Analysis and Applications

Articles in Press, Corrected Proof
Available Online from 14 November 2025
  • Receive Date: 12 February 2024
  • Revise Date: 15 April 2024
  • Accept Date: 29 April 2024