Identifying and prioritizing critical success factors for Fixed Base Operators in the United States: A mixed method approach

<p>Fixed Base Operators (FBOs) are major service providers for the general aviation (GA) sector, which closely connect the public with the aviation industry. However, over the past decade, the U.S. GA industry has experienced a decline in the numbers of registered aircraft, pilots, and airports. Due to the fact that FBOs significantly contribute to the aviation industry, further research studies regarding the FBO-sector at a national level are needed. The purpose of this dissertation was to identify and prioritize the critical success factors (CSFs) that promote the success of FBO operations in the United States.</p> <p>The methodology consisted of a four-step hybrid method approach including both qualitative and quantitative methods. Data collection involved two rounds of online surveys that were distributed to FBO owners, managers, and employees in the United States. A total of 313 survey responses including 136 initial survey responses and 177 final survey responses were received. According to the survey results, twelve CSFs for successful FBO operations were identified and prioritized. Along with the results, the researcher created an FBO Critical Success Factor Model, which visually presented the CSFs and their priorities. The use of this model may provide a clearer understanding of FBO optimization for FBO managers, entrepreneurs, policymakers, and scholars. In addition, this model can be used as guidance to improve profit of an FBO business.</p>

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Aviation Technology

Year

2016

Author dc:creator

• Wang, Yu

Contributors dc:contributor

• Richard O. Fanjoy
• Gozdem Kilaz
• James L. Mohler
• John G. Wensveen

• Social sciences
• Critical success factor
• Fixed base operator
• General aviation
• Entrepreneurial and Small Business Operations
• Management Sciences and Quantitative Methods
• Transportation
• Transportation Engineering

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1026

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2241