Resources

You will find below some resources about data, AI and strategy.

White papers

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Crafting a future where AI augments, not replaces

We propose three actions for corporations to navigate the automation/augmentation trade-off and highlight three issues on the European agenda associated with negative externalities triggered by AI technologies.

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Embracing AI-human collaboration: The key to unlocking new sources of competitive advantages

Discover how AI reduces some traditional sources of competitive advantages, how combining AI and human expertise leads to new sources of competitive advantages and the transformation required to embrace this combination.

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ChatGPT and Generative Artificial Intelligence: What upheavals will the managers of the future face?

What should companies expect, but also fear, from the systematic and widespread use of these new types of artificial intelligence? What impact will these tools have on employment? What are the implications for managers?

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Responsiveness, the key value creation driver

9 value creation opportunities related to data and analytics + a methodology to capture them.

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Data, competition and platforms

Learn how data is the weapon in the competition between platforms and incumbents : the role they play in platform business models and the possible strategies to react.

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Make or buy choices

Learn how to choose between make or buy when it comes to data and analytics resources and capabilities.

Books

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Datanomics

La création de valeur par les données.

En Français 🇫🇷

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Open Models

Open models are changing everything, are you ready?

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Open models for sustainablity

A quelles conditions les modèles ouverts contribuent-ils à répondre aux défis environnementaux.

En Français 🇫🇷

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Social Impact Business Model

Comment rassembler au sein de la même entité deux types de valeur qu’on a longtemps posé en alternative, la valeur sociale et la valeur économique ?

En Français 🇫🇷

Academic research

Follonier, K., Benyayer, L.-D., & Rekik, Y. (2025). Switzerland’s individual municipalities’ suitability for the soon-to-be introduced cleaner energy production regulation allowing peer-to-peer solar electricity trading markets: Implications for sustainable development. Journal of Cleaner Production, 517, 145833. https://doi.org/10.1016/j.jclepro.2025.145833

Benyayer, LD., Bick, M. (2024). Business Models for Mobility Data Sharing Platforms: Stakeholders’ Perceptions. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-56481-9_7

Brink, A., Benyayer, L.-D. and Kupp, M. (2024), Decision-making in organizations: should managers use AI?, Journal of Business Strategy, Vol. 45 No. 4, pp. 267-274. https://doi.org/10.1108/JBS-04-2023-0068

Benyayer, L.-D. and Kupp, M. (2017), Responding to open business models, Journal of Business Strategy, Vol. 38 No. 2, pp. 33-40. https://doi.org/10.1108/JBS-09-2016-0094

Online courses

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AI is now everywhere. The technology is readily available, and one’s ability to use it to create and capture value has become paramount. Merely understanding the technology is no longer sufficient. To grow a competitive advantage, managers must go beyond the basics and develop a strategic view of AI.

This online certificate is designed to fill this need, and participants having completed the course will be able to:

  • Identify how to create and capture value with AI through frameworks, examples and case studies covering the full spectrum of corporate activities
  • Prepare the implementation of transformation initiatives to leverage AI in their specific contexts using methodologies, tools, and industry leaders’ experience.
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Agentic AI represents a new generation of artificial intelligence capable of autonomous decision-making, goal-setting, and tool use.

This course introduces the foundations, opportunities, and implications of agentic AI systems.

You will explore what differentiates agentic AI from traditional automation and generative models, assess its strategic value and risks.

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Building distinctive strategies in turbulent times. AI & digital strategy advisor, ESCP professor, author.

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