Abstract
Due to the increasing importance of data for organizations, the idea of sharing data has become vital to stay competitive. Different concepts have been discussed to allow the integration of heterogeneous data between different participants. Most prominently, data ecosystems, data platforms, and dataspaces have found attention from different sides. However, the implementation and use of dataspaces remain unclear, as many different factors influence the successful adoption. With the current research, we aim to contribute to this field by applying a structured mapping approach to identify them. We found that there are two main dimensions – technical and management, consisting of sub-dimensions, three of which have been newly developed from the sample data. Inparticular security as well as organizational and cross-organizational implementation. Besides this, we identified dataspaces as the technological backbone for the adoption of data ecosystems, considering some preconditions.
| Original language | English |
|---|---|
| Title of host publication | PACIS 2022 Proceedings, 26th Pacific Asia Conference on Information Systems |
| Number of pages | 18 |
| Publication status | Published - 2022 |
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