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Developing a Framework of Big Data Governance in Central Bank of Iran (in Persian)

Author

Listed:
  • elahi, sha'ban

    (Tarbiat Modares University)

  • Marashi pour, omid

    (central bank of iran)

  • HassanZadeh KarimAbad, Alireza

    (Tarbiat Modares University)

Abstract

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.

Suggested Citation

  • elahi, sha'ban & Marashi pour, omid & HassanZadeh KarimAbad, Alireza, 2017. "Developing a Framework of Big Data Governance in Central Bank of Iran (in Persian)," Journal of Monetary and Banking Research (فصلنامه پژوهش‌های پولی-بانکی), Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(32), pages 319-352, July.
    • Handle: RePEc:mbr:jmbres:v:10:y:2017:i:32:p:319-352
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    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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