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Management Transition to Big Data Analytics: Exploratory Study on Airline Industry

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  • Filomena Izzo

Abstract

This paper is addressed to the managers in field of Management Transition to Big Data Analytics, and those who guide and teach them. The research question is following: what is the Transition Management Model to Big Data Analytics in Airline Industry? The reason to choice Airline Industry is attributed to the strategic role that this sector has for the industrial development of a Country. There are few studies on Management Transition to Big Data Analytics and more less in Airline Industry, the present study attempts to contribute to the discussion on this topic.

Suggested Citation

  • Filomena Izzo, 2019. "Management Transition to Big Data Analytics: Exploratory Study on Airline Industry," International Business Research, Canadian Center of Science and Education, vol. 12(10), pages 48-56, October.
    • Handle: RePEc:ibn:ibrjnl:v:12:y:2019:i:10:p:48-56
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    References listed on IDEAS

    as
    1. Zhou, Kaile & Fu, Chao & Yang, Shanlin, 2016. "Big data driven smart energy management: From big data to big insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 215-225.
    2. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    big data; data management model; data management transition; airline industry; Airbus’ Skywise data platform;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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