Abstract
In the data economy, data has become an essential strategic resource for gaining a competitive advantage. Data spaces represent a relatively new phenomenon aimed at encouraging businesses to fully leverage the potential of data. Despite various approaches for definitions there remains a lack of clarity surrounding the conceptualization of data space, its perceived value, and the factors that drive its adoption. The conceptual ambiguity and synonymous usage of the term in academic and business literature present significant obstacles to targeted conceptualization and use. This paper addresses these issues by proposing primary properties of data space and contributes to the field by applying a semantic decomposition. Through this approach, we identified data space as having the following conceptual aspects Nature, Element, Function, Utility and Governance. These primitives highlight the growing need for security and privacy when sharing interorganizational data. In addition, we offer an initial definition of data spaces.
| Original language | English |
|---|---|
| Title of host publication | AMCIS 2023 Proceedings, Twenty-ninth Americas Conference on Information Systems |
| Number of pages | 10 |
| Publication status | Published - 2023 |
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