Data-driven culture: a transformational framework
- In the context of digital transformation, having a data-driven organizational culture has been recognized as an important factor for data analytics capabilities, innovativeness and competitive advantage of firms. However, the current literature on data-driven culture (DDC) is fragmented, lacking both a synthesis of findings and a theoretical foundation. Therefore, the aim of this work has been to develop a comprehensive framework for understanding DDC and the mechanisms that can be used to embed such a culture in organizations as well as structuring prior dispersed findings on the topic. Based on the foundation of organizational culture theory, we employed a Design Science Research (DSR) approach using a systematic literature review and expert interviews to build and evaluate a transformation-oriented framework. This research contributes to knowledge by synthesizing previously dispersed knowledge in a holistic framework, as well as, by providing a conceptual framework to guide the transformation towards a DDC.
| Author of HS Reutlingen | Schlegel, Dennis; Wallner, Jonathan |
|---|---|
| URL: | https://aisel.aisnet.org/icis2023/gov_strategy/gov_strategy/7/ |
| Erschienen in: | Rising like a phoenix: emerging from the pandemic and reshaping human endeavors with digital technologies ; ICIS 2023 proceedings, Hyderabad, India, December 10-13, 2023 |
| Publisher: | Association for Information Systems (AIS) |
| Place of publication: | Atlanta, GA |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2023 |
| Tag: | data culture; data-driven culture; digital transformation |
| Page Number: | 17 |
| First Page: | 1 |
| Last Page: | 17 |
| Article Number: | 7 |
| DDC classes: | 004 Informatik |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
