Harnessing Generative Artificial Intelligence: A Game-Changer for Small and Medium Enterprises

Author First name, Last name, Institution

Nir Kshetri, University of North Carolina at Greensboro
Diana Rojas-Torres, National University of Colombia
Mamduh M. Hanafi, Gadjah Mada University
Mousa Al-kfairy, Zayed University
Gayle OKeefe, School of Business Molloy University, NY, 11570, USA
Nathan Feeney, University of North Carolina at Greensboro

Document Type

Article

Source of Publication

IT Professional

Publication Date

1-1-2024

Abstract

This article examines the rising adoption of generative AI (GAI) among small and medium enterprises (SMEs) and its potential to enhance operational efficiency and strategic decision making. Although SMEs currently lag behind larger firms in GAI integration, they increasingly utilize these tools to overcome challenges such as resource constraints and high marketing costs.

DOI Link

10.1109/mitp.2024.3501552

ISSN

1520-045X

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

26

Issue

6

First Page

84

Last Page

89

Disciplines

Computer Sciences

Keywords

Generative AI, Small and Medium Enterprises, Operational Efficiency, Strategic Decision Making, Marketing Costs

Recommended Citation

Kshetri, Nir; Rojas-Torres, Diana; Hanafi, Mamduh M.; Al-kfairy, Mousa; OKeefe, Gayle; and Feeney, Nathan, "Harnessing Generative Artificial Intelligence: A Game-Changer for Small and Medium Enterprises" (2024). All Works. 7047.
https://zuscholars.zu.ac.ae/works/7047

Indexed in Scopus

no

Open Access

no