This applied dissertation was a quantitative, data-mining analysis to determine the effects of mentoring on career advancement after employees participated in a 1-year formal leadership mentoring program. The company in this study developed a formal leadership mentoring program as part of its talent development and succession planning strategy. Company leaders selected mentoring participants from an internal pool of diverse high-potential leaders to participate in the leadership mentoring program. This study implemented a quantitative, data-mining research method technique to analyze the company’s data on the formal leadership mentoring program from a monitored system. The purpose of data mining was to review and analyze career-progression results of women and people of color to see if employees were advancing in careers as all other mentoring participants who participated in the 2009 and 2010 mentoring program classes. Quantitative data-mining results showed that, in 2009 and 2010, the total population was 105. Mentees who were women and people of color represented 79% of employees who remained at the company. In addition, 13 women of color were promoted at the study company after attending the leadership mentoring program. Company leaders selected mentoring participants from an internal pool of diverse high-potential leaders to include Black-African Americans, Asians, Hispanics-Latinos, and Whites. This data-mining study provided valuable to mentoring, career advancement, and succession planning for the leadership that could provide confirmation for the need to offer formal mentoring programs to increase the numbers of women and people of color in middle- and senior-level management positions.
Identifer | oai:union.ndltd.org:nova.edu/oai:nsuworks.nova.edu:fse_etd-1099 |
Date | 01 January 2016 |
Creators | Simmons, Juanita S. |
Publisher | NSUWorks |
Source Sets | Nova Southeastern University |
Detected Language | English |
Type | campusdissertation |
Format | application/pdf |
Source | Theses and Dissertations |
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