AI-powered business model innovation: Analyzing the implications of generative AI on value creation, operational efficiency and market dynamics

The revolutionary way that generative AI disrupts business models today is by delivering radical shifts in important things like value delivery, business operations, and competitiveness. It allows businesses to perform difficult tasks, orchestrate customized client interactions, and foster change throughout sectors. With endless possibilities, generative AI's risks upon implementation are as follows: Data protection, Ethical and legal spheres, and Talent demand. Some challenges must be overcome when adopting AI in any organization to harness this technology for work benefits. Generative AI will continue to define future business models ' directions and contours through innovation, support of the decision-making process, and a focus on the principles of ethical entrepreneurship. This paper discusses the opportunities of generative AI for business model innovations, its effect on operational improvement, and entering a new kind of competition in a market. Finally, it reveals the factors that companies experience when implementing AI and presents the possible future trend of deploying business models based on artificial intelligence.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2024-11-15
DOI
https://doi.org/10.30574/wjaets.2024.13.2.0564
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

AI-powered business model innovation: Analyzing the implications of generative AI on value creation, operational efficiency and market dynamics

Evin Miser, Orcun Sarioguz
1 citations
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
0.53
article

AI-powered business model innovation: Analyzing the implications of generative AI on value creation, operational efficiency and market dynamics

Evin Miser, Orcun Sarioguz
article en
1 citations

Abstract

The revolutionary way that generative AI disrupts business models today is by delivering radical shifts in important things like value delivery, business operations, and competitiveness. It allows businesses to perform difficult tasks, orchestrate customized client interactions, and foster change throughout sectors. With endless possibilities, generative AI's risks upon implementation are as follows: Data protection, Ethical and legal spheres, and Talent demand. Some challenges must be overcome when adopting AI in any organization to harness this technology for work benefits. Generative AI will continue to define future business models ' directions and contours through innovation, support of the decision-making process, and a focus on the principles of ethical entrepreneurship. This paper discusses the opportunities of generative AI for business model innovations, its effect on operational improvement, and entering a new kind of competition in a market. Finally, it reveals the factors that companies experience when implementing AI and presents the possible future trend of deploying business models based on artificial intelligence.

World Journal of Advanced Engineering Technology and SciencesVol. 13(2)
Openalex Percentile: Top 24%
Big Data and Business Intelligence
0.53
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