What We Do Not Know: GPT Use in Business and Management
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ID: 282176
2025
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Abstract
This systematic review examines peer-reviewed studies on application of GPT
in business management, revealing significant knowledge gaps. Despite
identifying interesting research directions such as best practices,
benchmarking, performance comparisons, social impacts, our analysis yields only
42 relevant studies for the 22 months since its release. There are so few
studies looking at a particular sector or subfield that management researchers,
business consultants, policymakers, and journalists do not yet have enough
information to make well-founded statements on how GPT is being used in
businesses. The primary contribution of this paper is a call to action for
further research. We provide a description of current research and identify
knowledge gaps on the use of GPT in business. We cover the management subfields
of finance, marketing, human resources, strategy, operations, production, and
analytics, excluding retail and sales. We discuss gaps in knowledge of GPT
potential consequences on employment, productivity, environmental costs,
oppression, and small businesses. We propose how management consultants and the
media can help fill those gaps. We call for practical work on business control
systems as they relate to existing and foreseeable AI-related business
challenges. This work may be of interest to managers, to management
researchers, and to people working on AI in society.
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| Authors | Tammy Mackenzie; Branislav Radeljic; Leslie Salgado; Animesh Paul; Rubaina Khan; Aizhan Tursunbayeva; Natalie Perez; Sreyoshi Bhaduri |
| Journal | arXiv |
| Year | 2025 |
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