Open AccessImpact of Organizational Culture on Transformational Leadership and Organizational Performance
Author(s) -
Ahmed Hamoud Al-Shibami,
Mohammed Nusari,
Ali Ameen,
Gamal S. A. Khalifa,
Amiya Bhaumik,
Nayef Alateibi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1116.0982s1019
Subject(s) - transformational leadership , construct (python library) , variance (accounting) , organizational culture , psychology , transactional leadership , structural equation modeling , process (computing) , knowledge management , social psychology , business , political science , public relations , computer science , accounting , machine learning , programming language , operating system
This study employs structural equations modeling via PLS to analyze the 392 valid questionnaires in order to assess the proposed model that is based on the transformational leadership characteristics to identify its effect on the performance of organizations, besides assessing the moderating role of organizational culture in the government sector in the United Arab Emirates. The main independent construct is transformational leadership as a second-order construct of idealized influence, inspirational motivation, intellectual stimulation, and individualized consideration. The dependent construct covers organizational performance in terms of learning & growth and internal process. Whereas power distance representing the organizational culture as a moderating variable. The study will describe the relations among the various constructs. Our work has improved our insight into the importance of transformational leadership and organizational culture. Results indicated that the independent variable significantly predicted performance, in addition to power distance having a significant moderating role between transformational leadership and internal process, but not between transformational leadership and learning & growth. The proposed model explained 40.8% of the variance in learning & growth and 29.8% in internal process.