چکیده:
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.
خلاصه ماشینی:
Therefore, the present research, with the aim of employing fast data in improving e-government policies, was conducted based on a multi-stage qualitative approach using systematic review and content analysis methods.
The use of fast data is very beneficial for policymaking; because governments, through the rapid and timely use of data via its analysis, integrate 6 | Kotterink & Veenstra, 2017 | government systems and use citizen opinions to make more informed decisions and improve public policies.
Fast data is one of the new and emerging types of data that leads to more efficient operations in governments and brings public satisfaction for the citizens of a society; this is exactly what the whole world needs to reduce the costs resulting from time-consuming storage, processing, and analysis; because in addition to maintaining security and individual privacy, it provides an appropriate solution for problems and crises in the shortest possible time.
" functional characteristics of fast data - providing timely solutions - ability to identify crises, threats, and weaknesses – solving people's needs - increasing Theme Interview sentence examples Basic theme Pervasive theme Organizing theme "The very existence of e-government, improving work efficiency - proper use based on decision-making for people's needs and solving conditions - improving management and its executive process.
In this section, experts answered the first research question based on the core concept of fast data and emphasized the speed of the decision-making process and the improvement and development of electronic government in Iran and believed that in Iran, a very large amount of time is spent on issues and crises, and sometimes due to errors in big data storage systems, the country faces another crisis.
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