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    Evaluating a user-centered environment-friendly mobile phone app for tourists and residents using facial-recognition software
    (MDPI, 2023) Khoshaim, Lama Sameer; Yüksel, Serhat; Dinçer, Hasan
    This study aims to examine a user-centered environment-friendly mobile phone app for tourists and residents in Saudi Arabia. To achieve this objective, a new fuzzy decision-making model is constructed. In this scope, by considering a detailed literature examination, eight criteria are identified. Facial expression-based quantum spherical DEMATEL with golden cuts are taken into consideration to examine the possible impact and directions among these criteria. The main contribution of this study is that priority factors in the development of the environment-friendly tourism mobile application can be identified. Moreover, facial expressions of the decision-makers are considered in the fuzzy decision-making analysis. This situation helps us to achieve more appropriate results. The findings demonstrate that user-centeredness is the most significant environment-friendly mobile application performance criterion of the tourism industry. Additionally, functionality is another important determinant with respect to this situation. It is of great importance to ensure customer satisfaction for the mobile applications used in the development of tourism to be successful. Thus, user feedback should be taken into consideration for them to work more effectively. Furthermore, tourism applications should provide users with fast and accurate information. In this context, mobile applications should offer customized offers to users to increase customer satisfaction.