A framework for data space adoption integrating data sovereignty as a technical factor

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Abstract

Digital transformation allows organizations to increase data transparency, but unfortunately, organizations still encounter obstacles to data sharing as they fear the loss of control over data. Data spaces as cross-organizational data infrastructures can potentially enhance organizations' control over their data. However, the adoption of data spaces has yet to be fully investigated. Therefore, this study attempts to address this gap by applying a Design Science Research (DSR) approach for developing an artefact to support the adoption of data spaces. We designed and evaluated the framework through expert interviews. As a result, we propose a final data space adoption framework comprising 14 factors originating from the Technological-Organizational-Environment (TOE) framework. The framework contributes to the existing body of knowledge regarding influencing factors and supports the adoption of data spaces integrating data sovereignty within organizations.
Original languageEnglish
Title of host publicationConf-IRM 2025 Proceedings
Number of pages14
Edition1
Publication statusPublished - 2025

Fields of science

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

JKU Focus areas

  • Digital Transformation

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