Proceedings of the 5th International Conference of Educational Science, ICONSEIR 2023, 30 November 2023, Medan, Indonesia

Research Article

A Conceptual Insights of Academic Dishonesty on Accounting University-Students Using Theory of Planned Behaviour (TPB) Model

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  • @INPROCEEDINGS{10.4108/eai.30-11-2023.2346944,
        author={Andri  Zainal and Haryadi  Haryadi and Pasca Dwi Putra and Roza  Thohiri and Isti Maunida Hanum},
        title={A Conceptual Insights of Academic Dishonesty on Accounting University-Students Using Theory of Planned Behaviour (TPB) Model},
        proceedings={Proceedings of the 5th International Conference of Educational Science, ICONSEIR 2023, 30 November 2023, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICONSEIR},
        year={2024},
        month={8},
        keywords={academic dishonesty tpb conceptual model accounting students},
        doi={10.4108/eai.30-11-2023.2346944}
    }
    
  • Andri Zainal
    Haryadi Haryadi
    Pasca Dwi Putra
    Roza Thohiri
    Isti Maunida Hanum
    Year: 2024
    A Conceptual Insights of Academic Dishonesty on Accounting University-Students Using Theory of Planned Behaviour (TPB) Model
    ICONSEIR
    EAI
    DOI: 10.4108/eai.30-11-2023.2346944
Andri Zainal1,*, Haryadi Haryadi1, Pasca Dwi Putra1, Roza Thohiri1, Isti Maunida Hanum1
  • 1: Universitas Negeri Medan, Medan, Indonesia
*Contact email: andrizainal@unimed.ac.id

Abstract

The paper provides a conceptual understanding of dishonesty in academic activities through the use of Theory of Planned Behavior (TPB) model constructs. The empirical study-based phenomenon related to academic fraud conduct is expressly proposed in the research topic. The TPB-related empirical investigations were used to build this model for academic fraud behavior. These studies illustrate that developing intentions leads to dishonest action, and that attitudes about behavior influence these intentions, subjective standards, and perceived behavior control. TPB's qualitative theoretical framework for predicting academic dishonesty is intended to be used in future research projects involving university students in accounting-related areas. The findings will help university policymakers understand how to reduce academic dishonesty.