Enhancing career readiness for accounting graduates through integrating digital accounting tools: A path analysis approach

Ahmad A. Toumeh & Maha D. Ayoush

Industry and Higher Education2026https://doi.org/10.1177/09504222261423344article
AJG 1ABDC C
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0.50

What the paper says

This research investigates the influence of integrating digital accounting tools on accounting graduates’ career readiness. Data were collected by means of a questionnaire administered to advanced-stage accounting students and accounting professionals in Jordan with a sample of 357 participants. Data were analyzed in Smart PLS and Stata software. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the structural models and hypotheses. The findings demonstrated a significant and positive relationship between the integration and usage of digital accounting tools and career readiness. They indicated that perceptions and experiences improved the perceived career readiness. The results also showed that best practices were significantly and positively associated with the integration and usage of digital accounting tools. Nevertheless, challenges and barriers had no impact on the integration and usage of digital accounting tools. This study is among the initial studies in Jordan examining how digital accounting tools enhance career readiness. It provides beneficial academic and practical insights into the integration of digital accounting tools, and how to boost the career readiness of accounting graduates in Jordan.

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https://doi.org/https://doi.org/10.1177/09504222261423344

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@article{ahmad2026,
  title        = {{Enhancing career readiness for accounting graduates through integrating digital accounting tools: A path analysis approach}},
  author       = {Ahmad A. Toumeh & Maha D. Ayoush},
  journal      = {Industry and Higher Education},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/09504222261423344},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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