Document Type
Conference Proceeding
Language
eng
Format of Original
18 p.
Publication Date
1995
Publisher
Association for Information Systems (AIS)
Source Publication
Proceedings of the 1995 International Conference on Information Systems
Source ISSN
1026-1079
Abstract
Despite the increasing application of Artificial Intelligence (AI) techniques to business over the past decade, there are mixed views regarding their contribution. Assessing the contribution of AI to business has been difficult, in part, due to lack of evaluation criteria. In this study, we identified general criteria for evaluating this body of fiterature. Within this framework, we examined applications of AI to business forecasting and prediction. For each of the seventy studies located through our search, we evaluated how effectively the proposed technique was compared with alternatives (effectiveness of validation) as well as how well the technique was implemented (effectiveness of implementation). We concluded that by using acceptable practice and providing validated comparisons, 31% (22) of the studies contributed to our knowledge about the applicability of the AI techniques to business. Of these twenty-two studies, twenty supported the potential of AI in forecasting. This small number of studies indicates a need for improved research in this area.
Recommended Citation
Adya, Monica and Collopy, Fred, "Does AI Research Aid Prediction? A Review and Evaluation" (1995). Management Faculty Research and Publications. 187.
https://epublications.marquette.edu/mgmt_fac/187
Comments
Published version. Published as part of the proceedings of the conference, International Conference on Information Systems, 1995: 123-140. Permalink. Used with permission. ©1995, by the Association for Information Systems. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the Association for Information Systems must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers for commercial use, or to redistribute to lists requires prior specific permission and/or fee. Request permission to publish from: AIS Administrative Office, P.O. Box 2712 Atlanta, GA, 30301-2712, Attn: Reprints, or via e-mail from: publications@aisnet.org.