The voluntary turnover of revenue management analysts in the U.S. airline industry is an issue, compelling revenue management leaders to implement retention strategies that successfully reduce employee turnover. The purpose of this qualitative single case study was to explore strategies revenue management leaders used within the last 15 years to retain revenue management analysts. The conceptual framework that grounded this study was Maertz's 8 motivational forces of job attachment and voluntary turnover. The targeted population was comprised of revenue management leaders at an airline in Dallas, Texas who had demonstrated successful strategies to reduce employee turnover. Using criterion-based sampling, 4 revenue management leaders were selected for study participation. Data were collected through face-to-face semistructured interviews and company documents, then analyzed via Yin's 5-step process of compiling, disassembling, reassembling, interpreting, and concluding. Interpretations were then subjected to member checking and methodological triangulation to strengthen the trustworthiness of findings. Two main themes emerged: leadership influence and analyst career environment. The findings provide a better understanding of revenue management analyst retention and increase knowledge of factors that influenced turnover in the U.S. airline industry. With this knowledge, revenue management leaders can implement retention strategies that have successfully reduced employee turnover. The implications for positive social change include the potential to overcome emotional discomforts about work or psychological obligations to leave, which can encourage job satisfaction and improve employee retention.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-4479 |
| Date | 01 January 2017 |
| Creators | Williams, Curtis Raynard |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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