mahmoud ekrami; Adeleh Farajpour
Volume 4, Issue 14 , November 2016, , Pages 53-64
Abstract
This research was performed for the purpose of developing the organizational learning component based on Tehran Payame Noor university personnel’s insight. Research methods from the point of aim is developing and its approach for collecting data is correlative descriptive. Statistical population ...
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This research was performed for the purpose of developing the organizational learning component based on Tehran Payame Noor university personnel’s insight. Research methods from the point of aim is developing and its approach for collecting data is correlative descriptive. Statistical population of 120 personnels of Tehran province Payame-Noor university (managers and experts) and after simple random sampling method using morgan table, 91 answer sheets were chosen. The tools of measurement have provided two questionnaires, namely insight questionnaire with 40 items and organizational learning questionnaire with 42 item. Reliability of tools was measured by construct validity and validity was determinded using Cronbach's alpha(0.90 and 0.96). Exploratory factor analysis results shows that insight and organizational learning of personnel each compound 6 components which respectively cover 49.1 and 63.5 percent of total variance of insight and organizational learning. The 99 percentage Confidence interval of variables show8ed that insight component in the invested population are estimated high, however organizational learning factors are evaluated average; except for strategic leadership and interpersonal skills which were both estimated high. After executing the Friedman test, the ranking of insight factors in the population respectively are communication, insight, productivity, creativity, supervisory, and freedom of action. The ranking of organizational learning components are interpersonal skills, strategic leadership, vision, empowerment, mental model and team learning. Neither of variables are connected to individual features except for supervisory. In the end, the final output of performing the canonical correlation analysis, introduced only one optimal model couple.
