Big Data is Power: Business Value from a Process Oriented Analytics Capability

Rogier Van de Wetering, Patrick Mikalef, John Krogstie

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Abstract

Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its massive potential, the conditions and required complementary resources and capabilities through which firms can gain business value, are by no means clear. Firms cannot ignore the influx of data, mostly unstructured, and will need to invest in BDA increasingly. By doing so, they will have to, e.g., necessitate new specialist competencies, privacy, and regulatory issues as well as other structural and cost considerations. Past research contributions argued for the development of idiosyncratic and difficult to imitate firm capabilities. This study builds upon resources synchronization theories and examines the process to obtain business value from BDA. In this study, we use data from 27 cases studies from different types of industries. Through the coding analyses of interview transcripts, we identify the contingent resources that drive, moderate and condition the value of a BDA capability throughout different phases of adoption. Our results contribute to a better understanding of the importance of BDA resources and the process and working mechanisms through which to leverage them toward business value. We conclude that our synthesized configurational model for BDA capabilities is a useful basis for future research.

Original languageEnglish
Title of host publicationBusiness Information Systems Workshops
Subtitle of host publicationBIS 2018 International Workshops, Berlin, Germany, July 18–20, 2018, Revised Papers
EditorsWitold Abramowicz, Adrian Paschke
Place of PublicationCham
PublisherSpringer International Publishing AG
Chapter41
Pages468-480
Number of pages13
Edition1
ISBN (Electronic)9783030048495
ISBN (Print)9783030048488
DOIs
Publication statusPublished - 2019
Event21st International Conference, Business Information Systems: BIS 2018 - Berlin, Germany
Duration: 18 Jul 201820 Jul 2018
http://bis.ue.poznan.pl/bis2018/

Publication series

SeriesLecture Notes in Business Information Processing
Volume339

Conference

Conference21st International Conference, Business Information Systems
Country/TerritoryGermany
CityBerlin
Period18/07/1820/07/18
Internet address

Keywords

  • Big Data
  • Process stages
  • Qualitative coding
  • RESOURCE-BASED VIEW
  • big data analytics capabilities

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