درخت حوزه‌های تخصصی

This research was conducted with the aim of investigating the role of digital leadership and technology flexibility in intelligent decision-making with the mediation of intellectual ethics and team reception. The research method is quantitative, descriptive and of the type of correlation studies based on the covariance-oriented structural equation modeling approach. The research population was all the elementary principals of Kermanshah province, of those 320 principals were selected through stratified random sampling based on Cochran's formula. To collect data, researcher-made questionnaires of digital leadership, technological flexibility, intelligent decision-making, intellectual ethics and team reception Soltani (2008) were used. The content validity of the questionnaires was confirmed by experts, supervisors and consultants. The reliability of the questionnaires according to Cronbach's Alpha was 0.94 for digital leadership, 0.91 for technology flexibility, 0.95 for intelligent decision making, 0.93 for intellectual ethics, and 0.89 for team reception.  To analyze the data, the descriptive as well as inferential analysis techniques were used through SPSS and LISREL software. Structural equation modeling showed that digital leadership has a direct effect on team reception, intellectual ethics and intelligent decision making. Moreover, digital leadership has an indirect effect on intelligent decision-making through team reception and intellectual ethics. The flexibility of technology has a direct impact on intellectual ethics, team reception and intelligent decision making. Technology flexibility has an indirect effect on intelligent decision-making through intellectual ethics and team reception. Intellectual ethics has a direct impact on team reception and intelligent decision making. Intellectual ethics has an indirect effect on intelligent decision making through team reception. Team reception has a positive and direct effect on intelligent decision-making. Finally, the research model has a good model fit