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    Research

    IMD faculty and researchers are exploring the frontiers of AI through articles in leading business and management journals.

    Research

    IMD faculty and researchers are exploring the frontiers of AI through articles in leading business and management journals.

    Academic articles

    From machine learning and predictive analytics to deep learning and computer vision, IMD’s research provides valuable insights and actionable recommendations for organizations worldwide.

    APA PsycNet
    Applicants’ Fairness Perceptions of Algorithm Driven Hiring Procedures
    By Maude Lavanchy, Patrick Reichert, Jayanth Narayanan and Krishna Savani
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    International Journal of Information Management
    So what if ChatGPT wrote it?: Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
    By Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Michael R. Wade and et al.
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    International Journal of Forecasting
    A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks
    By Yara Kayyali El Alem, Sebastian Meier and Ralf W. Seifert
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    International Journal of Information Management
    Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action
    By Yogesh K. Dwivedi, Laurie Hughes, Arpan Kumar Kar, Michael R. Wade and et al.
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    Case studies

    Our AI case studies showcase real-world scenarios across diverse industries, providing useful insights into the opportunities and challenges presented by AI adoption.

    IMD
    Dacadoo: building momentum

    For the past decade, the Zurich-based technology company has been exploring ways to monetize AI in healthcare. Its products monitor and assess an individual’s real-time health and wellness, generating data for health insurance providers.

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    IMD
    Mastercard’s ethical approach to governing AI

    The global payments company uses AI to fight fraud, improve the consumer experience, increase efficiencies and decrease costs. Employees follow strict ethical guidelines and robust frameworks to manage and protect data.

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    IMD
    Henkel: driving sustainability through digital

    The family business uses Industry 4.0 technologies to transform factories, value chains and business models. Can Henkel also build on the success of this digital transformation to make its products carbon-neutral during production and consumption?

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    Our current research projects

    Find out more about the topics our research team are currently focused on and who to contact should you wish to collaborate with us or find out more information.

    AI-assisted decision making

    Generative AI can help executives make better decisions by helping them think of additional alternatives and decision criteria. We are integrating generative AI into IMD’s own decision-making app—called Dragon Master—to help executives sharpen their decision process by freeing up some of the cognitive demands of decision making so that they can focus on what humans can do best: frame the decision, ask better questions, critically assess alternatives and make sense of the implications of choosing one alternative over another.

    If you are interested in this topic or want to explore opportunities for your company to take part in our research project, please get in touch with Arnaud Chevallier.

    Risks with using Generative AI

    Recent advances in Generative AI are already showing how organizations can improve their internal operations and product offerings with it. Yet, many organizations still hesitate to adopt Generative AI applications, arguing that it poses privacy and security threats. In this study, we develop a typology of the different risks associated with the use of Generative AI. We also outline a series of solutions that can aid organizations in mitigating these risks.

    If you are interested in this topic or want to explore opportunities for your company to take part in our research project, please get in touch with Öykü Işık or Amit Joshi.

    The impact of Generative AI on individual performance

    Generative AI has taken the world by storm, and we are only starting to understand its implications for employee performance. We contribute to this line of work by examining the impact of using Generative AI on individual productivity and job quality. We also identify additional factors that influence this relationship and provide a series of recommendations to maximize the benefits that come with using Generative AI applications.

    If you are interested in this topic or want to explore opportunities for your company to take part in our research project, please get in touch with Lazaros Goutas.

    AI and the different decision-making styles

    AI is undoubtedly transforming modern organizations. However, the results concerning the success of introducing AI in the workplace remain inconclusive. Moreover, uncertainty exists with regards to how AI should be introduced in strategic decision-making processes, i.e., whether AI should augment decision-makers, or if part of decision-making should be fully delegated to AI algorithms. We addresses these problems initially by examining whether the introduction of AI improves strategic decision quality. Second, we join the automated/augmented AI debate by arguing that in order to maximize benefits, the different types of AI should be adapted to the diverse cognitive styles of decision-makers. Last, we provide insights and recommendations into to the optimal configurations for introducing AI in the workforce.

    If you are interested in this topic or want to explore opportunities for your company to take part in our research project, please get in touch with Lazaros Goutas.