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Title: | Can training employees improve maintenance ground time within an aviation organisation? |
Authors: | Camilleri, Matthew Thomas |
Keywords: | Airports -- Employees -- Training of -- Malta Labor turnover Aviation mechanics (Persons) -- Malta Aviation ground crews -- Training of -- Malta |
Issue Date: | 2018 |
Citation: | Camilleri, M. (2018). Can training employees improve maintenance ground time within an aviation organisation? (Master's dissertation). |
Abstract: | The aviation industry is a highly competitive global market where costs are constantly being kept to a minimum to be able to increase the profit margin. Loosing experienced personnel within an organisation means that skills and knowledge gaps will incur inefficiencies resulting in higher costs. From this case study on Medavia Technics, it was identified that due to certain knowledge and experience gaps arising from employee turnover and rapid expansion, the company was incurring more inefficiencies, higher costs, and longer maintenance ground times. The customers are immensely dependent on these maintenance ground times since they would need to schedule their revenue making flights accordingly. The main objectives within this case study were to identify the existent employee gaps and their effect on the Maintenance Department, identify the employee learner readiness, training limitations, and to recommend effective and reliable employee training solutions. The adoption of these recommendations will create benefits to the company, explicitly a reduction in the inefficiencies that would lead to shorter aircraft ground times. Although this study indicated that experience and knowledge gaps do exist and are seriously affecting the project time lines, a very high percentage of the employees are Deep Learners, and Intrinsically Motivated which gives a concrete reason why training programmes should be implemented to reduce the existent gaps. |
Description: | M.B.A. EXEC. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/41658 |
Appears in Collections: | Dissertations - FacEma - 2018 |
Files in This Item:
File | Description | Size | Format | |
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18MBAX004.pdf Restricted Access | 3.89 MB | Adobe PDF | View/Open Request a copy |
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