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A Synergetic Model for Implementing Big Data in Organizations: An Empirical Study

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  • Mohanad Halaweh

    (Al Falah University, Dubai, United Arab Emirates)

  • Ahmed El Massry

    (Hamdan Bin Mohammed Smart University, Dubai, United Arab Emirates)

Abstract

The term BIG DATA has been increasingly used recently. Big data refers to the massive amount of data that are processed and analyzed using sophisticated technology to gain relevant insights that will help top executives with the decision-making process. This study is an attempt to investigate the big data implementation in organizations. The literature review reveals an initial model of indicators that might affect big data implementation. This model was examined and extended by primary data collected from key people (CEO and managers) from ten organizations. The extended model of indicators, which is the result from this research, includes the factors that would affect the success or failure of big data implementation in organizations. The research findings showed the following factors: top management support, organizational change, IT infrastructure, skilled professional, contents (i.e. data), data strategy, data privacy and security.

Suggested Citation

  • Mohanad Halaweh & Ahmed El Massry, 2017. "A Synergetic Model for Implementing Big Data in Organizations: An Empirical Study," Information Resources Management Journal (IRMJ), IGI Global, vol. 30(1), pages 48-64, January.
    • Handle: RePEc:igg:rmj000:v:30:y:2017:i:1:p:48-64
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