Investigating the Dimensions and Components of Knowledge-Based Decision Making in Iranian National Tax Administration

The purpose of this study was to investigate the status of knowledge-based decision-making dimensions in the Iranian National Tax Administration. The present study is applied, and a survey method is used. The statistical population of the present study was comprised of ۲۱۱۵ senior, basic and middle managers of the Iranian National Tax Administration. The sample size was estimated to be ۳۲۵ people based on Cochran formula who were selected by stratified random sampling. To collect the data, a questionnaire of ۶۹ questions with a ۵-point Likert-scale from completely inappropriate to completely appropriate was used. The conceptual and face validity of the research questionnaire was evaluated and approved by ۱۵ experts. The content validity ratio or CVR of the questionnaire was calculated by ۰.۹۳.۸ by ۱۵ experts and university professors. Cronbach's alpha coefficient was estimated at ۹۴.۶, which was higher than ۰.۷, indicating the internal consistency of the items and confirming the reliability. One-sample t-test using SPSS software was used for data analysis. The significance level of the test (۰.۰۰۰) was smaller than the significance level (۰.۰۵), so considering the mean of variables of knowledge-based decision making (۳.۵۱۹), functional factors (۳.۵۷۲), behavioral factors (۳.۶۳۹), attitudinal factors (۳.۲۹۷), motivational factors (۳.۵۰۳), and structural factors (۳.۵۴۲) which were above the base mean (۳), the variables were in a desirable condition. The mean of the variables indicated that this amount is not high enough to indicate that the variables of knowledge-based decision making are being well applied in these organizations. Therefore, planning is needed in this regard.

Keywords:

Attitudinal and Behavioral factors , Functional factors , Knowledge-based decision making , Motivational Factors , structural factors