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مدیریت فناوری اطلاعات، جلد ۱۱، شماره ۲، صفحات ۱-۴۲
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عنوان انگلیسی Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions
چکیده انگلیسی مقاله The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to produce a structured model based on big data analytics for now-casting and eventuality of predictive policies is growing rapidly. The literature review demonstrates that a comprehensive model to assist policy-making institutions by providing all components and indicators in now-casting of predictive policies based on big data analytics is not devised yet. The presentation of the model is the main finding of this research. This research aims to provide a comprehensive model of now-casting and eventuality of predictive policies based on big data analytics for policy-making institutions. The research findings indicate that the dimensions of the comprehensive model include: the alignment of now-casting strategies and the big data analytics' architecture, now-casting ecosystem, now-casting data resources, now-casting analytics, now-casting model and now-casting skill. The results of using the model were analyzed and the recommendations were presented.
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نویسندگان مقاله Maryam Hajipour Sarduie |
Ph.D. Candidate in Information Technology Management/ Business Intelligence, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Mohammadali Afshar Kazemi |
Associate Professor, Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Mahmood Alborzi |
Associate Professor, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Adel Azar |
Professor, Department of Management, Tarbiat Modares University, Tehran, Iran.

Ali Kermanshah |
Associate Professor, Department of Management, Sharif University of Technology, Tehran, Iran.

نشانی اینترنتی https://jitm.ut.ac.ir/article_73946_b036da2933836ca2a6cd8405f675f40c.pdf
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