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

Liyaghat Salari (), Esmaeil Hassan Poor, Issa Fahim and Sedighe Azizi
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Liyaghat Salari: Islamic Azad University
Esmaeil Hassan Poor: Islamic Azad University
Issa Fahim: Islamic Azad University
Sedighe Azizi: Islamic Azad University

International Journal of Academic Research in Accounting, Finance and Management Sciences, 2013, vol. 3, issue 3, 63-71

Abstract: 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.

Keywords: Official automation; Problem recognition; Recognizing and computing solutions; Determining measure of evaluation and evaluating solutions (search for similar items in EconPapers)
Date: 2013
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