IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Studying the Effect of Official Automation on Making Decision Process of Governor’s Offices’ Managers

Listed author(s):
  • Liyaghat Salari


    (Islamic Azad University)

  • Esmaeil Hassan Poor

    (Islamic Azad University)

  • Issa Fahim

    (Islamic Azad University)

  • Sedighe Azizi

    (Islamic Azad University)

Registered author(s):

    This paper mainly aims to study the effect of official automation systems on making decision process of governor’s offices’ managers and includes secondary goals such as recognizing the effect rate of official automation on problem recognition, recognizing approaches, evaluating approaches, determining optimum solution, performing and finally recognizing effect rate of official automation on outputs resulted from performing optimum solution. Also presenting suitable properties of a complete official automation system to inform managers is another goal of this paper. Official automation system as an independent variable and improvement of managers’ making decision is presented by qualities of problem recognition, recognizing and computing solutions, determining measure of evaluation and evaluating solutions, determining the best solutions and performing them as dependent variables. Research method is causal-comparative and results of research show that official automation system effects on increasing managers’ knowledge of problem, solutions recognition, solutions evaluation, the best solution selection, solution performance and result of managers’ solution performance positively. It is suggested that employees learn automation systems generally and comprehensibly with its all subsystems in public offices and in a framework based on developing organizational culture.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    Article provided by Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences in its journal International Journal of Academic Research in Accounting, Finance and Management Sciences.

    Volume (Year): 3 (2013)
    Issue (Month): 3 (July)
    Pages: 63-71

    in new window

    Handle: RePEc:hur:ijaraf:v:3:y:2013:i:3:p:63-71
    Contact details of provider: Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:hur:ijaraf:v:3:y:2013:i:3:p:63-71. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Hassan Danial Aslam)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.