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Article
Big Data Consumer Analytics and the Transformation of Marketing
Journal of Business Research
  • Sunil Erevelles
  • Nobuyuki Fukawa, Missouri University of Science and Technology
  • Linda Swayne
Abstract

Consumer analytics is at the epicenter of a Big Data revolution. Technology helps capture rich and plentiful data on consumer phenomena in real time. Thus, unprecedented volume, velocity, and variety of primary data, Big Data, are available from individual consumers. To better understand the impact of Big Data on various marketing activities, enabling firms to better exploit its benefits, a conceptual framework that builds on resource-based theory is proposed. Three resources-physical, human, and organizational capital-moderate the following: (1) the process of collecting and storing evidence of consumer activity as Big Data, (2) the process of extracting consumer insight from Big Data, and (3) the process of utilizing consumer insight to enhance dynamic/adaptive capabilities. Furthermore, unique resource requirements for firms to benefit from Big Data are discussed.

Department(s)
Business and Information Technology
Keywords and Phrases
  • Big Data,
  • Consumer analytics,
  • Consumer insights,
  • Ignorance,
  • Induction,
  • Resource-based theory
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Elsevier, All rights reserved.
Publication Date
2-1-2016
Publication Date
01 Feb 2016
Disciplines
Citation Information
Sunil Erevelles, Nobuyuki Fukawa and Linda Swayne. "Big Data Consumer Analytics and the Transformation of Marketing" Journal of Business Research Vol. 69 Iss. 2 (2016) p. 897 - 904 ISSN: 0148-2963
Available at: http://works.bepress.com/nobuyuki-fukawa/6/