When conducting research for a thesis related to smart airports, it is crucial to employ appropriate methodologies that yield reliable and meaningful results. Given the breadth of this field, several research methodologies can be considered. Firstly, conducting surveys among airport stakeholders such as passengers, airline operators, and airport staff can provide valuable insights into their perceptions and experiences regarding smart airport technologies. Additionally, qualitative methods such as in-depth interviews or focus groups can further explore individual perspectives and uncover deeper insights. Quantitative data analysis techniques are also essential in determining the effectiveness of smart airport systems by analyzing objective metrics like passenger flow rates and operational efficiency. Finally, case studies of existing smart airports can offer valuable lessons learned and best practices that can inform the development of future smart airport strategies. By utilizing a combination of these appropriate research methodologies, a comprehensive understanding of the implications of smart airports on various stakeholders can be achieved in order to formulate informed recommendations for improved operational efficiency and passenger experience within these environments.