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[...] This openness challenges competitive relationships. According to Blanchet, cooperation involves collaboration between companies on certain technologies while remaining competitive on other elements of the value chain. Therefore, it is essential that the actors' strategy integrates an ecosystem perspective as well as partnership challenges. In this way, it is essential to manage the relationships between actors and dynamically distribute roles within the new industrial ecosystems to support the growth of AI. 4. The integration of the three pillars of sustainable development into the implementation of artificial intelligence systems As AI becomes increasingly integrated into economic activities, it is essential to consider its ethical and sustainable dimension. [...]
[...] Journal of Business Research 85-95. https://doi.org/10.1016/j.jbusres.2021.01.016 Frimousse, S., & Peretti, J.-M. (2023). The renewal of business models. Management Questions, 193-251. https://doi.org/10.3917/qdm.224.0193 - BELAID, S., & FEHRI, D. (2023) Artificial Intelligence and Business Models: Metamorphoses, Challenges and Opportunities - BETTACHE, M. (2023) Business Models: Adapt or Disappear, That is the Question Isaac, H. (2020). Strategy & Artificial Intelligence. Annales des Mines - Digital Challenges https://hal.science/hal-03068380 Johnson, E., Fernandez, C., Chavez, M., Müller, H., & Tanaka, Y. (2024). [...]
[...] However, AI has not only effects on business models, as we will see in the other points. 2. Innovation in the creation and distribution of value In addition to modifying procedures, AI offers traditional companies the opportunity to innovate in the creation and dissemination of value to their customers. Various articles demonstrate that AI opens up new opportunities for personalizing offers. Companies need innovation in the creation and distribution of value to improve the alignment of their offer with the needs of their clients. [...]
[...] Different articles highlight this indispensable evolution of revenue logic. According to Belaid and Fehri, AI encourages some companies to give up selling products in favor of new models that rely on subscription and usage-based pricing. The logic of 'ownership' is therefore transformed into a 'service' logic. Burström et al.'s article highlights this trend using the example of the automotive equipment supplier that now offers demand-based leasing contracts thanks to data analysis. Blanchet's article also highlights the emergence of new collaboration models in Industry 4.0. [...]
[...] Finally, a third section deals with concrete examples in different industrial sectors, in order to highlight how generative AI has already transformed traditional functions and developed new opportunities. I. Understanding the Impact of Artificial Intelligence and Automation on Business Models 1. The Transformations Performed by Artificial Intelligence on Operational Processes AI and automation have the ability to deeply modify the business models of traditional companies. The transformation of operational processes is one of the first effects, as highlighted by several articles. Indeed, AI makes it possible to optimize the efficiency of processes already in place by automating and optimizing certain tasks. [...]
