Abstract

<p><strong>Purpose: </strong>Different leadership styles' effects on technology transfer effectiveness have not been implied in the literature. This study seeks to theoretically investigate the effect of five leadership styles; Classified according to personal authority of the leader; On technology transfer effectiveness.</p><p><strong>Design/methodology/approach:</strong> This study identifies five leadership styles which affect technology transfer effectiveness including transformational leadership, transactional leadership, visionary leadership, charismatic leadership and culture based leadership. This study associates these five leadership styles to technology transfer effectiveness. A conceptual model is tested using a survey data collected from a sample of manufacturing plants in the dairy manufacturing sector in Egypt.</p><p><strong>Findings: </strong>The results indicate that only four leadership styles significantly affect technology transfer effectiveness. Visionary leadership style has the strongest significant effect on technology transfer effectiveness, followed by culture based leadership style, then charismatic leadership style then transactional leadership. Transformational leadership does not significantly affect technology transfer effectiveness.</p><p><strong>Research Limitation/Implications: </strong>Transformational leadership has been observed to have no significant effect on technology transfer effectiveness. A set of refined transformational leadership measures should be developed in future studies.</p><p><strong>Practical Implications:</strong> This paper identifies the importance of leadership styles in achieving the success of technology transfer.</p><p><strong>Originality/value: </strong>This study provides a theoretical foundation for the effect of the leadership styles on technology transfer effectiveness in the dairy manufacturing plants. This study is one of the first efforts that empirically examine the effect of leadership styles on technology transfer effectiveness.</p><p> </p>

Highlights

  • Technology transfer effectiveness has found increasing interest in the operations management (OM) literature. Bozeman (2000) defined technology transfer as the movement of know –how from one organizational setting to another

  • One of the main contributions of this research is the development of an operations perspective of leadership styles effect on technology transfer effectiveness

  • In contrast to earlier research, practices related to technology transfer effectiveness which have not considered the effect of leadership styles on technology transfer effectiveness

Read more

Summary

Introduction

Technology transfer effectiveness has found increasing interest in the operations management (OM) literature. Bozeman (2000) defined technology transfer as the movement of know –how from one organizational setting to another. The most recent classification of leadership styles according to personal authority of the leader includes five leadership styles which are transformational, transactional, visionary, charismatic and culture based leadership (Wang et al, 2010). Charismatic leadership is processing and articulating a vision taking in consideration sensitivity to followers needs and demonstrating novel behavior (Judge et al, 2006). It is defined as a fairly stable, measurable characteristic exists in managers, so charismatic individuals seek to influence individual and organizational performance (Bass et al, 2014). This research uses more realistic characteristics for all leadership styles and it relates them to realistic measures of technology transfer effectiveness. It evaluates which style of the five leadership styles has more influence on technology transfer effectiveness, and determining which dimension in each leadership style has the greatest influence on technology transfer effectiveness

Leadership Styles
Transformational Leadership
Transactional Leadership
Charismatic Leadership
Culture Based Leadership
Visionary Leadership
Technology Transfer Effectiveness
Conceptual Framework
Research Hypotheses
Data Source
Descriptive Statistics
Correlation Matrix
Analysis and Results
Reliability of Variables
Hypotheses Testing
Constant
Summary and Conclusion
Managerial Implications
Conclusion
Future Research
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.