Analyzing Iranian Public Sector Big Data System Requirements Based on System Design Thinking
- سال انتشار: 1403
- محل انتشار: مجله تفکر سیستمی در عمل، دوره: 3، شماره: 3
- کد COI اختصاصی: JR_JSTINP-3-3_001
- زبان مقاله: انگلیسی
- تعداد مشاهده: 153
نویسندگان
Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.
Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.
Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.
چکیده
The contemporary world is marked by generation and consumption of vast volume, high velocity, and considerable diverse data, leading us to the concept of big data. In this study, a system design thinking approach was employed to identify the requirements of Iran's public sector big data system. National big data systems would help governments to support their decisions by data and answer to national problems faster. Given the complexity and time-intensive nature of traditional system requirement analysis methods, their practical application in the industry has been declined. Therefore, in this research, system design thinking as an agile alternative for identifying system requirements has been discussed. To accomplish this, the LDA machine learning method has been utilized to analyze approximately ۸۸,۰۰۰ articles, a thematic analysis on around ۶۰۰ Instagram and Twitter posts has been conducted, and six experts representing targeted problem persona were interviewed. The objective of this research is to extract insights to serve as a foundation for formulating big data policies in Iran. Findings reveal that Iran big data system requirements can be classified into four categories which indicate on increasing managed access to data while considering security and privacy, encouraging private and public sectors cooperation, transformation to smart governance, and establishing national data organization which would be responsible of data ID documents.کلیدواژه ها
big data, System Design Thinking, System Thinking, policy, Latent Dirichlet Allocation (LDA), Topic Modellingاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.