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Big Data use in performance measurement and management: a call for action
University of Gothenburg.
University of Gothenburg.
Linnaeus University, School of Business and Economics, Department of Organisation and Entrepreneurship.
2016 (English)In: Journal of Business and Economics, ISSN 2155-7950, Vol. 7, no 3, 402-417 p.Article in journal (Refereed) Published
Abstract [en]

Big Data is starting to permeate the field of performance measurement and management. With data being referred to as the “new oil of the 21st century” and organizations more and more striving for utilizing this to their advantage, the notion of Big Data has become a hallmark for the modern decision maker. We argue that albeit promising for performance measurement and management, there are several aspects that need to be addressed within research. This paper builds on a literature review of extant research, and, a case study, and raises issues that if left unchecked could have negative impacts on the field of performance measurement and management. Despite the many positive aspects associated with Big Data, there is a need for a sound, critical perspective. The findings are discussed in relation to the three Vs regarded as the core definition of Big Data (volume, variety and velocity) and illustrated by a case study.

Place, publisher, year, edition, pages
Academic Star Publishing Company , 2016. Vol. 7, no 3, 402-417 p.
Keyword [en]
Performance measurement and management, Big Data, Critical reflection
National Category
Business Administration
Research subject
Economy, Business Informatics
Identifiers
URN: urn:nbn:se:lnu:diva-55789DOI: 10.15341/jbe(2155-7950)/03.07.2016/005OAI: oai:DiVA.org:lnu-55789DiVA: diva2:955793
Available from: 2016-08-26 Created: 2016-08-26 Last updated: 2016-11-14Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf