مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

485
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Predicting Information Quality Ranking with Factor Analysis and Artificial Intelligence Approach

Pages

  101-139

Abstract

 This study examines the ranking of information quality ranking with the approach of factor analysis and artificial intelligence in companies listed on the Tehran Stock Exchange. The independent variable used in this research is the criteria of the management system and the dependent variable of this research is the criteria of accounting information quality, which based on factor analysis method, all criteria have been converted into a single variable. The present study is part of experimental accounting research and artificial intelligence method has been used to test the research hypotheses. The results indicate that according to the variable selection method of neighborhood analysis, among the variables of the management system, the percentage of institutional owners ", " dual role of CEO ", " CEO tenure ", " management ownership ", " government ownership "have the highest correlation with rank Other results of Jackie's research are that the linear and non-linear artificial intelligence method pls has a high ability to predict the quality rating of accounting information of companies listed on the Tehran Stock Exchange.

Multimedia

  • No record.

    • Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    KARIMI, AKRAM, DARABI, ROYA, Poor Fakharan, Mohammadreza, & Moghadam, Hossein. (2022). Predicting Information Quality Ranking with Factor Analysis and Artificial Intelligence Approach. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, 14(54 ), 101-139. SID. https://sid.ir/paper/985517/en

    Vancouver: Copy

    KARIMI AKRAM, DARABI ROYA, Poor Fakharan Mohammadreza, Moghadam Hossein. Predicting Information Quality Ranking with Factor Analysis and Artificial Intelligence Approach. THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES[Internet]. 2022;14(54 ):101-139. Available from: https://sid.ir/paper/985517/en

    IEEE: Copy

    AKRAM KARIMI, ROYA DARABI, Mohammadreza Poor Fakharan, and Hossein Moghadam, “Predicting Information Quality Ranking with Factor Analysis and Artificial Intelligence Approach,” THE FINANCIAL ACCOUNTING AND AUDITING RESEARCHES, vol. 14, no. 54 , pp. 101–139, 2022, [Online]. Available: https://sid.ir/paper/985517/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top
    email sharing button
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    sharethis sharing button