Data gathering In the process of conducting the study, a number of issues which include the source of data, its accuracy and credibility were taken into account in the process of gathering the necessary data. The study mainly relied on secondary sources of data. This was achieved by gathering data from published company reports posted on the firm’s official website and from other credible data bases. For example, the study relied on the financial information published by the Emirates Group on Dnata’s financial performance. As a result, a high degree of credibility, accuracy and reliability was ensured. In an effort to gather sufficient amount of data, a comprehensive questionnaire was designed. A comprehensive review of the questionnaire was undertaken prior its administration to the respondents in order to eliminate any form of errors and ambiguity. The questionnaire included both open-ended and close-ended questions. Open-ended questionnaires were used in order to provide the respondents with an opportunity to communicate their opinion while close-ended questionnaires were used where a specific answer was required. The questionnaires focused on five main areas which include the operational cost, trend of fuel prices, the impact of fuel process on the firm’s operation, logistics and location and how outsourcing can be used to minimize the challenges associated with high fuel prices. Considering the fact that the respondents are very busy, the questionnaires were mailed in time in order to provide them with ample time to look at them. The target population for the study included all Dnata Company employees. In an effort to simplify the study process, the concept of sampling was integrated. Fifteen employees were selected to be the respondents. By selecting a small sample size, it was possible to increase the power of the study. Maxwell (2005) asserts that a large sample size reduces the power of a particular study due to numerous errors. However, a small sample size reduces such errors. As a result, the researcher was able to improve the degree to which the findings of the study can be relied upon in addition to lowering the cost of the study. Employees from different job categories were selected to be the respondents. Some of the respondents belonged to the top level management while others belonged to lower level of management. However, it was ensured that the respondents selected were conversant with the impact of high fuel prices on the operation of Dnata Company. Data analysis Both qualitative and quantitative data research methods of data analysis were used. This was achieved by integrating descriptive statistics and inferential data analysis methods. Descriptive statistics entails calculating the mean, mode, frequencies and percentages. On the other hand, inferential statistics entails integrating tests such as t-test and the chi-square. Such tests aid in evaluating the statistical difference between categorical variables. On the other hand, multivariate analysis will be used to assess the impact of high fuel prices on the performance of Dnata Company. The research questions considered in the study will be analyzed individually. By using descriptive statistics, the researcher will be able to condense the voluminous data