Dissertation/Thesis Abstract

Predictors of nonprofit executive succession planning: A secondary data analysis
by Richardson, Natalie Davis, Ph.D., Capella University, 2014, 139; 3617377
Abstract (Summary)

In this quantitative secondary data analyses chi-square tests of independence and binary logistic regression were conducted to test the hypotheses that the independent variables are associated or predict executive succession planning. The following characteristics of the executive director was analyzed: age, gender, race/ethnicity, service insider selection (i.e., history of employment or board membership within the organization), executive director membership on the board of directors, a transparent relationship with the board of directors, use of professional development resources, level of education, and years of service in the nonprofit sector. Results indicated that there is an association between executive succession planning and four of the predictor variables age, race/ethnicity, years of service in the nonprofit sector, and membership on the board of directors, and that only three of the variables age, years of service in the nonprofit sector, and membership of the board were successful in predicting whether or not the executive director will have a succession plan. Results will be used to provide the leadership and stakeholders of nonprofit organizations with data regarding the association and prediction of executive succession planning. This data will be useful as nonprofit organizations strategically plan for the executive succession planning process and identifying successors for executive leadership positions.

Indexing (document details)
Advisor: Pelletier, Rosemarie
Commitee: Umeh, Ogwo
School: Capella University
Department: Public Service Leadership
School Location: United States -- Minnesota
Source: DAI-A 75/08(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Management, Public administration, Sustainability
Keywords: Ceo, Executive director, Executive leadership, Nonprofit managment, Predicting succession, Successioin planning
Publication Number: 3617377
ISBN: 9781303847561
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