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The aircraft maintenance industry, which is highly regulated and safety-critical, is currently encountering unprecedented challenges due to its complexity. Aircraft manufacturers were under pressure from their customers to design aircraft with extended maintenance intervals. The industry was experiencing a decline in customers, and the grounding of aircraft worldwide was resulting in significant decreases in business. The objective of the study was to determine the effects of aircraft type on aircraft maintenance of selected aviation companies in Kenya. The study used the resource-based theory. The study adopted an explanatory research design. The target population for the study was 135, comprising 40 engineers, 60 mechanics/technicians, 15 operations personnel, 10 ground handling staff, and 10 managers. This study used a census survey. A semi-structured questionnaire served as the primary data collection instrument. The data analysis was conducted using SPSS version 24, which is a Statistical Package for the Social Sciences. Data analysis involved the utilization of descriptive and inferential statistics. The descriptive statistics encompassed frequency, percentages, means, minimum and maximum values, as well as the standard deviation. The inferential statistics encompassed correlation and regression models. Data analysis results were displayed in tabular format. The study findings revealed that there was a positive linear effect of aircraft type and aircraft on aircraft maintenance (?1=.244, p=0.030). Technological advancements had a negative and significant moderating effect on the relationship between aircraft type and aircraft maintenance (?=-.187; p<0.05). The study concluded that aircraft type significantly affect maintenance requirements, emphasizing the need for customized maintenance strategies. The study recommends that the training programs for personnel. Collaborative efforts between aircraft manufacturers, maintenance organizations, and regulatory bodies are crucial to ensure a seamless adoption that improves efficiency and safety without compromising quality.
Korir et al. (Sun,) studied this question.