Opportunities and Challenges for AI-supported Business Intelligence Systems – A Delphi Study
Files
Date
2025-01-07
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
5722
Ending Page
Alternative Title
Abstract
In a progressively data-driven environment, business intelligence has emerged as a crucial function fostering efficiency, competitiveness, and innovation. Thus, the growing volume of data necessitates more extensive analysis. In addition, ensuing data complexity requires increasing capacities of skilled workers. Using artificial intelligence appears promising to not only handle but utilize increasing data volume and variety. While artificial intelligence adoption offers numerous opportunities, it also presents challenges alike. The objective of our research is to identify and synthesize the opportunities and challenges associated with incorporating artificial intelligence into business intelligence systems. To this end, we conducted a structured literature review and subsequently evaluated our findings through a Delphi study with experts from practice. Our results contribute to both practice and academia regarding potentials for harnessing opportunities and mastering challenges towards the future of artificial intelligence in business intelligence systems.
Description
Keywords
Data Analytics, Strategic Leadership, and Value Creation, artificial intelligence, business intelligence, delphi study
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
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.