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Issue 5(1), October 2010 -- Paper Abstracts
Girard  (p. 9-22)
Cooper (p. 23-32)
Kunz-Osborne (p. 33-41)
Coulmas-Law (p.42-46)
Stasio (p. 47-56)
Albert-Valette-Florence (p.57-63)
Zhang-Rauch (p. 64-70)
Alam-Yasin (p. 71-78)
Mattare-Monahan-Shah (p. 79-94)
Nonis-Hudson-Hunt (p. 95-106) 



JOURNAL OF HIGHER EDUCATION THEORY AND PRACTICE 


An Interdisciplinary Approach to Big Data Analytics


Author(s): Gary Hackbarth, Jie G. Fowler, Karin P. Rollins

Citation: Gary Hackbarth, Jie G. Fowler, Karin P. Rollins, (2020) "An Interdisciplinary Approach to Big Data Analytics," Journal of Higher Education Theory and Practice, Vol. 20, ss. 2, pp. 11-24

Article Type: Research paper

Publisher: North American Business Press

Abstract:

Analyzing real-time “Big Data” is an essential skill for many College of Business Administration students. As such, business students require an inter-disciplinary, multi-course approach to analyzing and interpreting Big-Data generated across the enterprise. This study suggests that the implementation of technologies across the business school curriculum and not just one single business discipline might provide business students with a competitive advantage in their job preferences by having an integrated view of technology across business disciplines. This academic approach and perspective offer insights into analytics education by using a qualitative research method.