The adoption of data spaces: Drivers toward federated data sharing

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Abstract

Data spaces have gained increasing attention, as they allow federated data sharing among and within participants of interoperable data spaces, for the benefit of all. However, data space initiatives are few in number; moreover, data space adoption among organizations is low. Research thus far has mainly focused on technical factors but lacks a more holistic approach that clarifies what drives data space adoption and federated data sharing as main functions. This exploratory study aims to fill this research gap; it identifies 12 drivers developed by 28 interviewed experts, discussing the coding techniques that are most frequently used in grounded theory. The identified drivers contribute to the current knowledge, while also potentially informing data space projects and organizations' decisions regarding data space adoption
Original languageEnglish
Title of host publicationProceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
EditorsTung X. Bui
Pages4506-4515
Number of pages10
ISBN (Electronic)9780998133171
Publication statusPublished - 2024

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Fields of science

  • 303026 Public health
  • 305909 Stress research
  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102016 IT security
  • 502007 E-commerce
  • 502014 Innovation research
  • 502030 Project management
  • 509026 Digitalisation research
  • 501016 Educational psychology
  • 602036 Neurolinguistics
  • 501030 Cognitive science
  • 502032 Quality management
  • 502043 Business consultancy
  • 502044 Business management
  • 502050 Business informatics
  • 502058 Digital transformation
  • 503008 E-learning
  • 509004 Evaluation research
  • 301407 Neurophysiology
  • 301401 Brain research

JKU Focus areas

  • Digital Transformation

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