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

Simple item page
dc.contributor.authorRashed, Faisal
dc.contributor.authorDrews, Paul
dc.date.accessioned2020-12-24T20:11:11Z
dc.date.available2020-12-24T20:11:11Z
dc.date.issued2021-01-05
dc.description.abstractMaximizing 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.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.689
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71309
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management
dc.subjectbusiness model
dc.subjectdata-driven
dc.titlePathways of Data-driven Business Model Design and Realization: A Qualitative Research Study
prism.startingpage5676

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0555.pdf
Size:
511.46 KB
Format:
Adobe Portable Document Format
Download

Collections

Business Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management