Determinants of big data adoption and success

Nabeel Al-Qirim, Ali Tarhini, Kamel Rouibah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


This research investigates the large hype surrounding big data (BD) and Analytics (BDA) in both academia and the business world. Initial insights pointed to large and complex amalgamations of different fields, techniques and tools. Above all, BD as a research field and as a business tool found to be under developing and is fraught with many challenges. The intention here in this research is to develop an adoption model of BD that could detect key success predictors. The research finds a great interest and optimism about BD value that fueled this current buzz behind this novel phenomenon. Like any disruptive innovation, its assimilation in organizations oppressed with many challenges at various contextual levels. BD would provide different advantages to organizations that would seriously consider all its perspectives alongside its lifecycle in the pre-adoption or adoption or implementation phases. The research attempts to delineate the different facets of BD as a technology and as a management tool highlighting different contributions, implications and recommendations. This is of great interest to researchers, professional and policy makers.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Electronic)9781450352840
Publication statusPublished - Aug 10 2017
Event2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 - Jeju Island, Korea, Republic of
Duration: Aug 10 2017Aug 13 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F132084


Other2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
Country/TerritoryKorea, Republic of
CityJeju Island


  • Big data analytics
  • Big data challenges.
  • Big data strategy
  • Big data success factors

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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