درخت حوزه‌های تخصصی

The new paradigm of good governance has an emphasis on international transparency, and this in this study takes into account the actual impacts of organizational intelligence in policymaker organizations. This study primarily aims to design an intelligent model of transparent governance in policymaker organizations with the approach of good governance. The study is a fundamental research in terms of objectives. In the qualitative section, data collection was done through Delphi interview questions, and the statistical population was senior managers, specialists, and policymakers with targeted sampling. In the quantitative part, the population was mid-level managers and organizational intelligence experts. The random sampling method was via the Cochran formula, and 432 individuals were selected. Data gathering tools were interviews and researcher-made survey questionnaires. The content and face validity and Cronbach alpha reliability were employed. The data were analyzed by descriptive and inferential statistics, including factor analysis, regression, and structural equations. Model fit and Friedman test were employed. The findings indicated three dimensions in the proposed model design, including transparency, knowledge creation, and knowledge translation, along with six components, five subcomponents, and 23 indicators. The results suggested that there is a relatively strong and appropriate relationship between organizational intelligence and organizational transparency. Furthermore, sense-making had the highest correlation with organizational transparency. Also, the strongest predictor was the sense-making variable.

This research aims to study the impact of reverse logistics capabilities on firm performance with mediating role of business strategy. This is a survey type and applied form research. Also, this research entity is descriptive-correlation, based on data collection method. Current research sample includes all 310 top and inter-mediate and operational managers of Shiraz Dena Tire Company. In this research, Cochran model was used to compute required sample (95% meaningfulness level). Thus, for such a sample, this research needs 171 participants. The research materials include research-made questionnaire. Results showed that logistic data management (closed loop capability, integration capability, cooperation capability, institutional incentive and conformity capability) has meaningful impact on organizational performance.