Benefits from Big Data Analytics Projects: A Critical System Heuristics Approach to Boundary Judgements

Maria Hoffmann Jensen, Peter Axel Nielsen, John Stouby Persson

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

Big data analytics (BDA) has strategic value for many large organisations. However, obtaining evident benefits from BDA projects requires complex orchestration across organisational boundaries and entities. The requisite ability to distinguish a potential BDA benefit in its’ organisational context has nevertheless received limited research attention. Against this backdrop, we report a case study of benefit conceptualization in a BDA project at a large wind turbine manufacturer (Vestas). Using critical systems heuristics, a framework of systems’ stakeholders, stakes, and stakeholding issues, we analyse how the stakeholders in Vestas make boundary judgements for the BDA benefits they plan to realize. This analysis shows how a BDA benefit is a complex system involving negotiations on how a benefit ought to become evident in the organization. We discuss the implications of this finding for how BDA projects can make their boundary judgements for planned benefits explicit and defensible.
Original languageEnglish
Title of host publicationECIS 2023, Proceedings of the 31st European Conference on Information Systems
PublisherAIS Electronic Library
Publication date2023
Pages1-15
Article number430
Publication statusPublished - 2023
EventEuropean Conference on Information Systems: Co-creating Sustainable Digital Futures - Kristiansand, Norway
Duration: 11 Jun 202316 Jul 2023
Conference number: 31
https://ecis2023.no/

Conference

ConferenceEuropean Conference on Information Systems
Number31
Country/TerritoryNorway
CityKristiansand
Period11/06/202316/07/2023
Internet address

Keywords

  • Big data analytics benefits
  • critical system heuristics
  • boundary judgements
  • value creation
  • case study

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