International Journal of Artificial Intelligence and Machine Learning
|
Volume 2, Issue 2, July 2022 | |
Review ArticleOpenAccess | |
Budgeting in the Age of Artificial Intelligence – New Approaches, Old Challenges? |
|
Gianfranco Marotta1,3* and Cam-Duc Au2,3 |
|
1PPA Business School - École de Commerce et de Management, France. E-mail: gianfranco.marotta@fom-net.de
*Corresponding Author | |
Int.Artif.Intell.&Mach.Learn. 2(2) (2022) 1-11, DOI: https://doi.org/10.51483/IJAIML.2.2.2022.1-11 | |
Received: 26/03/2022|Accepted: 22/06/2022|Published: 05/07/2022 |
Organizations in the early 21st century face challenging market dynamics and constant change driven by disruptive innovations, such as the Internet of Things (IoT), Internet of Services (IoS), Big-Data-Analytics (BDA), or Artificial Intelligence (AI). These innovations also affect the way of corporate budgeting, therefore discourses on budgeting effectiveness gain contemporary importance for practitioners and researchers. Organizations are dared to ensure solution-oriented budgeting approaches to solve budgeting obstacles, such as the killing of managers’ motivation and innovative strength while also ensuring agility and pinpoint accuracy in attaining corporate objectives (see Marotta et al., 2022). In this context, the given paper describes the opportunities and challenges of AI in the context of corporate budgeting. The question of interest is stated as follows: “How and to which extent does AI offer opportunities to improve existing budgeting approaches?” This paper is a result of literature studies in which other authors’ perspectives and critical analyses on budgeting approaches have been used and combined with the latest research on AI in corporate budgeting.
Keywords: Budgeting, Better-budgeting, Beyond-budgeting, Advanced-budgeting, Artificial Intelligence
Full text | Download |
Copyright © SvedbergOpen. All rights reserved