| Title | Identifying and Evaluating Factors Affecting User Privacy in the Smart City Using the Meta-Synthesis Method and the Fuzzy Dematel Technique |
|---|---|
| ID_Doc | 37252 |
| Authors | Bagheri, R; Nezhad, MZ; Rizi, MHP; Sadri, M |
| Title | Identifying and Evaluating Factors Affecting User Privacy in the Smart City Using the Meta-Synthesis Method and the Fuzzy Dematel Technique |
| Year | 2024 |
| Published | International Journal Of Information Technology & Decision Making, 23.0, 04 |
| Abstract | Smart cities are becoming increasingly popular today due to various digital technologies in their infrastructure. One of the most critical challenges in the proper implementation and establishment of these cities is the violation of the security and privacy of users, which leads to citizens' distrust and pessimism about smart city services. Many factors can affect the protection of users' privacy. Identifying these factors helps developers understand what dimensions and aspects affect users' privacy, through which they can provide appropriate solutions to protect the privacy of the user. Therefore, this study identifies and evaluates these dimensions. The authors proposed a novel methodology for identifying factors influencing user privacy in smart cities using the meta-synthesis method and the fuzzy decision-making trial and evaluation laboratory (DEMATEL). As a result of the meta-synthesis application, the authors identified seven dimensions of interest, specifically, Awareness and understanding, Trust, Self-control and personalization, Transparency, Reference standards frameworks and rules, Data management, and Security requirements. Moreover, using the DEMATEL technique and expert-based reviews, those seven dimensions were classified as cause and effect. As a result, the authors discovered that security requirements (D7) are the only cause dimension. As effect dimensions, "awareness and understanding (D1)," "data management (D6)," "trust (D2)," "frameworks and standards (D5)," "personalization and self-control (D3)," and "transparency (D4)" have been identified. Furthermore, the authors discovered that transparency is the most effective dimension in terms of affecting user privacy in smart cities. These findings may serve as guidelines for implementing the smart cities initiatives and protecting users' privacy. This study also provides a discussion and insights for smart city developers. |
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