نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
E-Government, with the aim of utilizing modern technologies and data science to enhance effectiveness and improve the delivery of public services, has emerged as a crucial component of modern governance. "Fast Data" is an emerging concept that refers to data types that enable rapid identification of issues, timely decision-making, and the formulation of appropriate policies to address them in electronic governance. Therefore, the present study aims to apply the concept of fast data to improve e-government policies through a multi-phase qualitative approach, using systematic review and thematic analysis methods. The target population of the study included experts in the field of information technology and faculty members from universities in Tehran and Central provinces, specializing in policymaking, information science, and communication studies. Data collection was carried out through library studies and semi-structured interviews, with 10 experts interviewed using the snowball sampling method. Finally, the analysis of the research data led to the identification of basic, organizing, and overarching themes, and a thematic network was constructed. The results of the study reveal four key strategies for improving e-government policies: 1. “Understanding Fast Data”, which can enhance the efficiency, transparency, and accountability of e-government; 2. “Information and Communication Technology Solutions”, which emphasize the need to improve telecommunications infrastructure, system integration, and the development of identity management infrastructure; 3. Cultural Solutions, which include raising awareness, social support, and public engagement for the adoption of fast data; and 4. Managerial Solutions, which require electronic leadership, improved urban infrastructure, and the development of organizational procedures.
کلیدواژهها English
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