Dissertation Proposal Defense by Crystal L. Dujowich
Date and Time
Tuesday, March 4, 2014 from 12 p.m. to 2 p.m.
Mother Rosalie Hill Hall, 147
San Diego, CA 92110
LEADERSHIP EFFECTIVENESS ACROSS INDUSTRIES: A MULTI-LEVEL INQUIRY INTO THE LEADERSHIP CIRCLE PROFILE
Leadership is a complex and multifaceted phenomena. The relationships that exist between individuals, groups, and larger organizational or societal sectors each offer an additional depth of inquiry. As individuals are motivated to become more effective leaders, organizations look to distinguish processes for developing and identifying more effective leaders, and researchers are captivated by understanding how these layers work together. However, understanding how to synthesize leadership effectiveness in assessment is particularly difficult, especially due to the existence of multiple theories and frameworks. Additionally, since many of the theoretical foundations of leadership remain focused on the individual, much of the empirical work in leadership studies has historically been limited to one level of analysis. As researchers acknowledge the dynamic process of leadership, it is paramount that studies identify and investigate the multiple levels of analysis.
This study seeks to uncover patterns in leadership effectiveness and interpret the variance that exists at multiple levels of analysis. Utilizing The Leadership Circle Profile (TLCP), an existing 360-degree instrument that integrates leadership competencies and internal assumptions that span across leadership theories and are correlated with stages of adult development, this study will employ hierarchal linear modeling (HLM). HLM provides a substantial analytical technique, building upon multiple regression analysis by considering both within-group and between-group variance simultaneously. Since the leadership of organizations involves natural hierarchies or systems, HLM will enable the analysis of nested phenomena. Specifically, leadership effectiveness will be examined as it varies among participants (level-one) and across industries (level-two). Multi-level testing will be conducted in two stages using an intercepts-only and random-coefficient model. Using demographic variables like age and gender, and TLCP leadership dimensions like authenticity and systems awareness, leadership effectiveness will be examined as it varies across individuals and more than 20 distinct industries.
Observing how leadership effectiveness varies across individuals and industries is particularly critical at a time in history when increasingly, leaders want to challenge themselves by transferring between industries while the retention of leaders has decreased. Understanding how variables influence leadership effectiveness across these industries will ultimately increase leaders’ ability to reach maximum potential and further the conversation on dynamic leadership.