Predictors of nonprofit executive succession planning: A secondary data analysis

by Richardson, Natalie Davis, Ph.D., CAPELLA UNIVERSITY, 2014, 139 pages; 3617377

Abstract:

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.

AdviserRosemarie Pelletier
SchoolCAPELLA UNIVERSITY
Source TypeDissertation
SubjectsManagement; Public administration; Sustainability
Publication Number3617377

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