Document Type
Article
Publication Date
5-28-2021
Publication Title
Academy of Management Perspectives
Volume
35
Issue
2
Pages
292-309
Publisher Name
Academy of Management
Abstract
Many key tasks in the research process for the physical sciences have been successfully automated, resulting in prototype “automated scientists” that have been effective in producing and reporting original research. The purpose of this paper is to explore (a) the possibility of automating key tasks in the scientific research process for the management and business sciences, (b) where our technology currently stands with respect to automating these processes, and (c) the implications and resulting research questions of a future of automated, or at least partially automated, management and business science. We synthesize reports from the mass media, academic literature, and the results of a Delphi study to provide a preview of the potential for automating technologies to affect the work of business researchers. The results indicate that many current technologies can be applied to further automate researchers’ tasks, and that scientists in automation and artificial intelligence are actively working to do so. We then discuss the implications of an increasingly automated science, and present questions that should advance discourse among researchers in the management and business sciences.
Recommended Citation
Johnson, Clark D.; Bauer, Brittney C.; and Niederman, Fred. The Automation of Management and Business Science. Academy of Management Perspectives, 35, 2: 292-309, 2021. Retrieved from Loyola eCommons, School of Business: Faculty Publications and Other Works, http://dx.doi.org/10.5465/amp.2017.0159
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Copyright Statement
© The Authors, 2021.
Comments
Author Posting © The Authors, 2021. This is the author's version of the work. It is posted here by permission of Academy of Management for personal use and not for redistribution. The definitive version of this article was published in Academy of Management Perspectives, Vol. 35, Iss. 2, https://doi.org/10.5465/amp.2017.0159