Determinants of big data adoption and success

Nabeel Al-Qirim; Ali Tarhini; Kamel Rouibah

doi:10.1145/3127942.3127961

Determinants of big data adoption and success

Nabeel Al-Qirim, Ali Tarhini, Kamel Rouibah

Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
Publisher	Association for Computing Machinery
Pages	88-92
Number of pages	5
Volume	Part F132084
ISBN (Electronic)	9781450352840
DOIs	https://doi.org/10.1145/3127942.3127961
Publication status	Published - Aug 10 2017
Event	2017 International Conference on Algorithms, Computing and Systems, ICACS 2017 - Jeju Island, Korea, Republic of Duration: Aug 10 2017 → Aug 13 2017

Other

Other	2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	8/10/17 → 8/13/17

Keywords

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

ASJC Scopus subject areas

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

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Al-Qirim, N, Tarhini, A & Rouibah, K 2017, Determinants of big data adoption and success. in Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017. vol. Part F132084, Association for Computing Machinery, pp. 88-92, 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017, Jeju Island, Korea, Republic of, 8/10/17. https://doi.org/10.1145/3127942.3127961

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title = "Determinants of big data adoption and success",

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author = "Nabeel Al-Qirim and Ali Tarhini and Kamel Rouibah",

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AU - Tarhini, Ali

AU - Rouibah, Kamel

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AB - 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.

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Determinants of big data adoption and success

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Keywords

ASJC Scopus subject areas

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