Big Data Analytics in Undergraduate Advertising Curricula

Author:

Yang Kenneth C. C.1,Kang Yowei2

Affiliation:

1. Department of Communication, The University of Texas at El Paso, El Paso, USA

2. Department of Oceanic Cultural Creative Design Industries, National Taiwan Ocean University, Keelung, Taiwan

Abstract

The rapid ascent of data-driven advertising practices has allowed advertising professionals to develop highly-targeted and personalized advertising campaigns. The success of data-driven advertising relies on if future professionals are proficient with basics of Big Data analytics. However, past research of undergraduate advertising curricula around the world has shown that higher education institutions tend to fall behind in offering the most up-to-dated training for advertising students. Findings have shown that undergraduate advertising programs have slowly taken advantage of the potential of the data analytics tools and techniques. This trend is observed among higher education institutions around the world. Practical, research, and pedagogical implications are discussed.

Publisher

IGI Global

Reference84 articles.

1. AACSB International. (n.d.). Standard 9: Curriculum content is appropriate to general expectations for the degree program type and learning goals. Retrieved June 26, 2015 from http://www.aacsb.edu/en/accreditation/standards/2013-business/learning-and-teaching/standard9/

2. Accenture. (2014). Big success with big data. Retrieved from https://www.accenture.com/us-en/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Industries_14/Accenture-Big-Data-POV.pdf

3. Aitken, R. J. (October 24, 2017). How to transform your traditional sell-side ad organization. AdAge, Retrieved April 15, 2018 from http://adage.com/article/deloitte-digital/transform-traditional-sell-side-ad-organization/310978/

4. 5 hot marketing trends: Customer strategists must step up their engagement efforts as mobile’s mercury rises.;J.Aquino;CRM Magazine,2012

5. Authers, J. (2013, December 8). The changing face of the MBA curriculum. FT.Com, Retrieved March 1, 2015 from http://www.ft.com/cms/s/2/b52b57d8-5d07-11e3-81bd-00144feabdc0.html#axzz3RGW3FcND

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