Pathways of Data-driven Business Model Design and Realization: A Qualitative Research Study

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-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 languageEnglish
Title of host publicationProceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
EditorsTung X. Bui
Number of pages10
Place of PublicationHonolulu
PublisherUniversity of Hawaiʻi at Mānoa
Publication date2021
Pages5676-5685
ISBN (Print)978-0-9981331-4-0
ISBN (Electronic)9780998133140
DOIs
Publication statusPublished - 2021
Event54th Hawaii International Conference on System Sciences - HICSS 2021 - University of Hawaiʻi at Mānoa, Honolulu, United States
Duration: 04.01.202108.01.2021
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

    Research areas

  • Business informatics - Business Intelligence, business analytics and big data, innovation, deployment, management business model

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DOI