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:: year 10, Issue 32 (Summer 2017) ::
JMBR 2017, 10(32): 319-352 Back to browse issues page
Developing a Framework of Big Data Governance in Central Bank of Iran
Sha'ban Elahi 1, Omid Marashi pour2, Alireza HassanZadeh KarimAbad1
1- Tarbiat Modares University
2- central bank of iran
Abstract:   (1938 Views)
Big Data Science is a new research field that emerged with the continuous increase of data, scaling up to unprecedented amounts, generated by Internet-based systems. The core of Big Data Science is the extraction of knowledge from data as a basis for intelligent services and decision making systems. The purpose of this study is developing a Framework of Big Data Governance enabling knowledge flow management. Research method is Qualitative and this method is used as paradigm model and is based on grounded theory. In addition, thirty in-depth interviews are held with experts and managers of the central bank of Iran. The result of this case study within the central bank of Iran, represents 52 sub categories which all are categorized as 15 items, and after confirmation by elites, they are categorized as six groups of causal, pivotal, Strategic, environmental, intermediate and consequential.
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Type of Study: Theoretical Article | Subject: Monetary Policy, Central Banking, and the Supply of Money and Credit (E5)
Received: 2015/04/13 | Accepted: 2017/12/11 | Published: 2018/02/4
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 10, Issue 32 (Summer 2017) Back to browse issues page
فصلنامه پژوهش‌های پولی-بانکی Journal of Monetary & Banking Research
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