The Causal Factors Model Affecting Payroll-Job Preparation Success of Accountants of Primary Educational Service Area Office in East

Authors

  • Jaruwan Chaokla Chachoengsao Primary Educational Service Area Office 2

Keywords:

Technical Skill, Professionalism, Payroll Practice Efficiency, Payroll-Job Preparation Success

Abstract

The purpose of this research was to study the causal factors effect to payroll-job preparation success, by using a questionnaire as an instrument for collecting data from 148 accountants of Primary Educational Service Area Office in East; the variables consisted of three endogenous latent variables: professionalism, payroll practice efficiency, payroll-job preparation success; and one exogenous latent variable technical skill. These latent variables were measured by 12 observed variables. The questionnaire was used as a research instrument with composite reliability between 0.942-0.975. Data was analyzed by SEM using Lisrel. Findings from the research suggest that the structural equation model showed that variable having direct and indirect effects on payroll-job preparation success of accountants of Primary Educational Service Area Office in East were technical skill. The results of this study show that the measurement model was in congruence with the empirical data (gif.latex?\chi&space;{2}= 56.833, p-value = 0.386, df = 49 (gif.latex?\chi&space;{2}/df =1.159), RMSEA = 0.018, GFI = 0.954, AGFI = 0.951, NFI = 0.984, NNFI = 0.997, IFI = 0.998, CFI = 0.998). This model exhibits goodness of fit.

References

กรมบัญชีกลาง. (2564). ระบบจ่ายตรงเงินเดือนของกรมบัญชีกลาง (2564, ตุลาคม). คู่มือ,. สืบค้น 10 ตุลาคม 2564, จาก http://epayroll.cgd.go.th/CGDREG/CGDWEB/download.jsp?set_bg=3

สำนักงานคณะกรรมการการศึกษาขั้นพื้นฐาน. (2564). ระบบงานอิเล็กทรอนิกส์ (2564, ตุลาคม). ระบบงาน,. สืบค้น 10 ตุลาคม 2564, จาก https://www.obec.go.th/%E0%B8%A3%E0%B8%B0%E0%B8%9A%E0%B8%9A%E0%B8%87%E0%B8%B2%E0%B8%99

Aaker, D. A., Kumar, V., & Day, G. S. (2001). Marketing Research. New York: John Wiley and Son.

Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology studies, 2(2), 285-309.

Chow, W.S. & Chan, L.S. (2008). Social network, social trust and shared goals in organizational knowledge sharing. Information and Management, 45(7), 458-462.

Dai, L. & Song, F. (2016). Subjective Career Success: A Literature Review and Prospect. Journal of Human Resource and Sustainability Studies, 4(1), 238-242.

Elekwa, N. N. & Eme, O.I. (2013). An Analysis of Computerized Accounting and Payrolling System on Monthly Emolument in Nigerian Local Government. International Journal of Accounting Research, 1(3), 16-28.

Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Market Research, 18(1), 39-50.

Giorgi, G., Mucci, N., Fabio A. D., & Ariza-Montes, A. (2019). Editorial: new professionalism and the future of work: interdisciplinary perspectives on transformations in business-health relationships. Frontiers in Psychology, 10:2193. doi: 10.3389/fpsyg.2019.02193.

Hamidah, S. (2015). Humanistic soft skills learning for generating professional teacher performance. The 3rd UPI International Conference on Technical and Vocational Education and Training. Netherlands: Atlantis Press.

Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis: A global perspective. (7th ed.). New Jersey: Pearson Education Inc.

Hopwood, N., Dadich, A., Elliot, C., & Moraby, K. (2021). How is brilliance enacted in professional practices? insights fromthe theory of practice architectures. Professions and Professionalism, 11(2), 1-22.

Khanna, V. (2015). Soft skills: a key to professional excellence. Journal of Research in Engineering, 5(1), 32-40.

Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.

Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory. (3rd ed.). New York, NY: McGraw-Hill.

Palladan, A. A. & Palladan, N. Y. (2018). Employees Views on Payroll Computerization and Its Impact on Their Productivity: A Grounded Theory Approach. Arabian Journal of Business and bar A Management Review, 8(2), 1-5.

Pinto, L., Nunes, E., & Sousa, S. (2020). A framework to improve training and development of workers’ technical skills: effects on operational performance during company relocation. Procedia Manufacturing, 51(2020), 1806–1813.

Schumacker, R. E. & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling. (3rd ed.). New Jersey: Lawrence Erlbaum Associates.

Suparjo, Y, C. & Akbar, M. (2020). The effect of integrity, professionalism, and innovation on service performance. Journal of Business and Behavioural Entrepreneurship, 4(1), 26-42.

Thite, M. & Sandhu, K. (2014). Where is my pay? critical success factors of a payroll system a system life cycle approach. Australasian Journal of Information Systems, 18(2), 149-164.

Tokarcikova, E., Malichová, E., Kucharčíková, A., & Durišová, M. (2020). Importance of technical and business skills for future it professionals. Amfiteatru Economic, 22(54), 567-578.

Yamoah, E. E. (2013). Relationship between compensation and employee productivity. Singaporean Journal of Business Economics and Management Studies, 2(1), 110-114.

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Published

2022-01-03

How to Cite

Chaokla, J. . (2022). The Causal Factors Model Affecting Payroll-Job Preparation Success of Accountants of Primary Educational Service Area Office in East. Journal of Management Science Pibulsongkram Rajabhat University, 3(3), 15–32. retrieved from https://so03.tci-thaijo.org/index.php/jmspsru/article/view/257328

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Section

Research Articles