A Maturity Model for Data-Driven Service Innovation
Files
Date
2025-01-07
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
4703
Ending Page
Alternative Title
Abstract
One application of AI in the context of entrepreneurship is in Data-Driven Service Innovation (DDSI) processes. However, it is not yet clear how organisations utilise data-driven technologies in general and AI in particular to enhance their service innovation processes. Therefore, this study was conducted to investigate capabilities needed to implement a DDSI process successfully. We identified three maturity levels and propose a DDSI Maturity Model. The first two maturity levels, which involve the use of data-driven technologies to trigger the service innovation process and to develop services, respectively, can be found in practice. The third level represents the next step that examines how a DDSI process can support the generation of high-potential service innovations such as data-driven business models supported by Artificial Intelligence. On each maturity level, we defined the required data-driven innovation capabilities. We found that the three maturity levels require different capabilities for their successful implementation.
Description
Keywords
Artificial Intelligence and Entrepreneurship, data-driven service innovation process; maturity model; data-driven innovation capabilities;
Citation
Extent
10
Format
Geographic Location
Time Period
Related To
Proceedings of the 58th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.