Factors Influencing the Adoption of RPA in Vocational College Accounting Courses

Authors

  • Xuan Liu
  • Nur Nadirah Binti Mohamad Ishak

DOI:

https://doi.org/10.54097/dzhm3n49

Keywords:

Robotic Process Automation (RPA), Vocational colleges, Accounting education, Technology Acceptance Model (TAM), Accounting transformation.

Abstract

The integration of Robotic Process Automation (RPA) technology in the field of education necessitates a thorough exploration of the acceptance factors among accounting educators. This study addresses this gap by examining the dynamics influencing the adoption of RPA in accounting education within vocational colleges. Grounded in the Technology Acceptance Model (TAM), Structural Equation Modeling (SEM) is employed to empirically assess the influencing factors. Findings from a survey involving 395 accounting educators in Shaanxi, China, indicate that the intention to adopt RPA in accounting courses is influenced by perceived usefulness, ease of use, social influence, job relevance, result demonstrability, computer self-efficacy, and facilitating conditions. This extended model provides a nuanced understanding of the complexities involved in RPA adoption. The results offer insights for policymakers, institutions, and educators aiming to integrate RPA into their teaching practices.

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References

Hale, J. L., Householder, B. J., & Greene, K. L. (2002). The theory of reasoned action. The persuasion handbook: Developments in theory and practice, 14(2002), 259-286.

LaCaille, L. (2020). Theory of reasoned action. Encyclopedia of behavioral medicine, 2231-2234.

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 27(3), 451-481.

Fishbein, M., Ajzen, I., Albarracin, D., & Hornik, R. (2007). A reasoned action approach: Some issues, questions, and clarifications. Prediction and change of health behavior: Applying the reasoned action approach, 281-295.

Hagger, M. S. (2019). The reasoned action approach and the theories of reasoned action and planned behavior.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Scarpelli, A. C., Paiva, S. M., Pordeus, I. A., Ramos-Jorge, M. L., Varni, J. W., & Allison, P. J. (2008). Measurement properties of the Brazilian version of the Pediatric Quality of Life Inventory (PedsQL™) cancer module scale. Health and quality of life outcomes, 6(1), 1-11.

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

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Published

23-01-2024

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Section

Articles