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Conceptualizing Big Data: Analysis of Case Studies

Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & managementPublished 11 May 2016
Ossi Ylijoki, Jari Porras
Citations30
SJR quartileQ2
SJR score0.67
SNIP1.37

TL;DR

This paper analyses big data use cases described in the academic literature by using computerized content analysis methods and conceptualized themes and guidelines of big data in the context of an organization, thus contributing to the emerging research ofbig data.

Abstract

Summary Digitization and the related datafication produce huge amounts of data. Organizations have started to exploit these new data in order to gain benefits. Exploring this ‘big data jungle’ is a new area for both scholars and practitioners, and the experiences of early adopters are valuable. This paper analyses big data use cases described in the academic literature by using computerized content analysis methods. Based on the analysis results, we have conceptualized themes and guidelines of big data in the context of an organization, thus contributing to the emerging research of big data. In addition to the realized benefits, the case studies reveal issues regarding technology, skills, organizational culture and decision‐making processes. The paper also points out several new research avenues, acts as a reference collection to big data case studies found in academic sources, and bridges theory and practice by pointing out several topics that practitioners should consider. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords

Computer ScienceDecision SciencesBusiness, Management and Accounting