Investigating the Relative Importance of Multi-Factor Leadership in Influencing Technology Acceptance among Employees of Telecommunication and Information Technology Company

the present study is applied in terms of purpose and correlation in terms of implementation. The statistical population of study consists of the employees at Asr Telecommunication and Information Technology Company, which according to the information obtained from the recruitment of the central organization is 300 employees. The number of samples according to Morgan table is equal to 169 people. To determine the content validity, the questionnaires were presented to three experienced professors and experts in the field of management to review the content. In this study, Cronbach's alpha method was used to determine the reliability of the test. To analyze the data, the normality of the data distribution is tested using the Kolmogorov-Smirnov test. If it is normal, Pearson correlation coefficient has been used to analyze the hypotheses. The relative importance method is also used to explain the role of variables in the dependent variable. The research findings show that the components of multifactorial leadership explain 15.6% of technology acceptance, in which the transformational leadership dimension has the highest relative weight and the exchange leadership dimension has the lowest relative weight. Also, conversion leadership with 62.82 percent and exchange leadership with 37.17 percent have a weight share in the impact on technology acceptance. Therefore, the research hypothesis that the relative weight of multidimensional leadership dimensions in the impact on technology acceptance is not the same was confirmed.