Automated Journal Entry Processing

Automated Journal Entry Processing is a computational method within general ledger systems that systematically generates, validates, and posts journal entries through predefined rules, algorithms, or integrations, thereby reducing manual intervention and enhancing accuracy in financial reporting.

7

Publications

207

Citations

17

Authors

15

Institutions

Publications per year

2017–2026

6

Authors

17

  1. MS
    Marco Schreyer

    University of St.Gallen, Switzerland

    2 publications · 78 citations

    2

    h-index

  2. HG
    Hanchi Gu

    International Computer Science Institute, United States

    2 publications · 78 citations

    2

    h-index

  3. MA
    Miklos A. Vasarhelyi

    Rutgers, The State University of New Jersey, United States

    2 publications · 78 citations

    2

    h-index

  4. KM
    Kevin Moffitt

    Rutgers, The State University of New Jersey, United States

    2 publications · 78 citations

    2

    h-index

  5. EM
    Eric M. Negangard

    University of Virginia, United States

    1 publications · 46 citations

    1

    h-index

1–5 of 17

Venues

  1. VTechWorks (Virginia Tech)

    Repository · 1 publications · 11 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Accounting Education

    1 publications · 46 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 36 citations

    1

    h-index

  5. 1

    h-index

1–5