Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Maximizing the value from data has become a key challenge for companies as it helps improve operations and decision making, enhances products and services, and ultimately, leads to new business models (BMs). Aiming to achieve the latter, companies take different pathways. Building on a grounded theory research approach, we identified four pathways for designing and realizing data-driven business models (DDBMs). To achieve this goal, we conducted 16 semi-structured interviews with experts from consulting and industry firms. The results fill the gap in the literature on the design and realization of DDBMs and act as a guide for companies.
Original language | English |
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Title of host publication | Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 |
Editors | Tung X. Bui |
Number of pages | 10 |
Place of Publication | Honolulu |
Publisher | University of Hawaiʻi at Mānoa |
Publication date | 2021 |
Pages | 5676-5685 |
ISBN (print) | 978-0-9981331-4-0 |
ISBN (electronic) | 9780998133140 |
DOIs | |
Publication status | Published - 2021 |
Event | 54th Hawaii International Conference on System Sciences - HICSS 2021 - University of Hawaiʻi at Mānoa, Honolulu, United States Duration: 04.01.2021 → 08.01.2021 Conference number: 54 https://www.insna.org/events/54th-hawaii-international-conference-on-system-sciences-hicss https://scholarspace.manoa.hawaii.edu/communities/8db05028-a838-4e0f-911b-4ea544253c64 |
Bibliographical note
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- Business informatics - Business Intelligence, business analytics and big data, innovation, deployment, management business model