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Paper Type
ERF
Abstract
Big data analytics is an emerging technology that is widely utilized across industries and is increasingly discussed among researchers. This study investigates the effects of Technological and Human Factors for Big Data Analytics (THFFBDA) on technological improvements of big data analytics (BDA) towards improved decision making by top management in Saudis’ Higher Education. This paper seeks to enhance our understanding of how these components impact the implementation of big data analytics to improve decision making by top management in Saudi Arabian Higher Institutions. This study draws on the Socio-technical theory to define and investigate THFFBDA, and the Delone & McLean IS success model to highlight the technological improvements in BDA. This research paper concludes with propositions on the potential effects of THFFBDA on decision making among universities’ top management and proposes a mixed-methods approach to study the above phenomenon.
Recommended Citation
Aseeri, Maher Mohammed and Kang, Kyeong, "Technological and Human Factors for Supporting Big Data Analytics in Saudi Arabian Higher Education" (2020). AMCIS 2020 Proceedings. 21.
https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/data_science_analytics_for_decision_support/21
Technological and Human Factors for Supporting Big Data Analytics in Saudi Arabian Higher Education
Big data analytics is an emerging technology that is widely utilized across industries and is increasingly discussed among researchers. This study investigates the effects of Technological and Human Factors for Big Data Analytics (THFFBDA) on technological improvements of big data analytics (BDA) towards improved decision making by top management in Saudis’ Higher Education. This paper seeks to enhance our understanding of how these components impact the implementation of big data analytics to improve decision making by top management in Saudi Arabian Higher Institutions. This study draws on the Socio-technical theory to define and investigate THFFBDA, and the Delone & McLean IS success model to highlight the technological improvements in BDA. This research paper concludes with propositions on the potential effects of THFFBDA on decision making among universities’ top management and proposes a mixed-methods approach to study the above phenomenon.
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