Abstract
Digital transformation is a phenomenon perceived across a multitude of contexts in the organisational societal and individual domains. Conceptualising this broad phenomenon requires an approach that provides structure and comparability across contexts and domains whilst containing sufficient contextual detail and specificity to avoid conceptual stretching. Utilising a multi-method approach, this paper draws from a set of empirical data to develop such a context-sensitive conceptualisation for digital transformation. Utilising a design perspective on digital transformation this paper (1) develops a conceptual meta-structure capable of representing instances of digital transformation independent of domain and context and (2) develops a taxonomy of context-specific categories for the identified meta-elements. The three elements Representation, Technology, and Effect (RTE) constitute the meta-structure, the taxonomy is comprised of seven representation, 10 technology and nine effect categories. We evaluated our results utilising a card sorting approach in a workshop setting. The proposed conceptualisation is capable to accommodate context-specific manifestations of digital transformation in all tested environments thereby indicating its applicability as a foundation for a context-sensitive conceptualization of digital transformation. The paper contributes to the evolving body of literature on digital transformation by providing a conceptual meta-structure capable of capturing manifestations of digital transformation in a uniform and structured manner across domains and contexts.
Original language | English |
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Pages (from-to) | 1-16 |
Number of pages | 16 |
Journal | Journal of Information Technology |
DOIs | |
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