A Model for Calculating the Indirect Added Value of AI for Business
A Model for Calculating the Indirect Added Value of AI for Business
Author(s): Petya Biolcheva, Nikolay SterevSubject(s): Social Sciences, Economy, Education, Business Economy / Management, Higher Education , Accounting - Business Administration, Human Resources in Economy, ICT Information and Communications Technologies, Socio-Economic Research
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: Artificial Intelligence; value added; factors
Summary/Abstract: The new world, where artificial intelligence is applied in every industry and aspect of life, is already becoming second nature to us. Strengthen the penetration of all the company’s business operations to withstand competitive pressures. Its impact is also apparent. The increasing importance of the added value of your application is being widely discussed, yet there is little discussion on how to measure it. This essay seeks to address this disparity. It raises the question of how to determine the indirect added value of artificial intelligence in the businesses that utilize it. In order to achieve this, we propose a model based on three main factor groups: cognitive elements, which influence how AI is perceived; behavioral elements, which affect behavior when using AI; and environmental variables, which impact laws governing the adoption or regulation of AI. The indirect value added by the application of AI is calculated by the organization’s management using numerical expressions for each set of elements.
Journal: Стратегии на образователната и научната политика
- Issue Year: 32/2024
- Issue No: 3s
- Page Range: 9-17
- Page Count: 9
- Language: English
- Content File-PDF
