Lynne Valett

Information Systems, University of Bayreuth

Brief description of my research project

The climate crisis, increasing scarcity of resources and growing regulatory pressure are challenging companies to systematically embed sustainability in risk management. In my doctoral project, I am analyzing the potential of digital technologies – in particular machine learning, CO2-adaptive optimization models and self-sovereign identities – for the early detection, analysis and management of sustainability risks. Key questions are: (1) What challenges arise when dealing with sustainability data? (2) To what extent can digital technologies enable effective sustainability risk management? (3) What digital resources and capabilities do companies need for resilient and future-oriented risk management? My aim is to make a scientific contribution to digital decarbonization – especially in the energy, building and mobility sectors.

lynne.valett@uni-bayreuth.de
Profile
Publications

Publications

  • Geist, Annika; Körner, Marc-Fabian; Strüker, Jens; Valett, Lynne; Zwede, Till (2026)

    From Data To Sustainable Decisions: The Impact Of Verifiable Carbon Information On Consumer Behaviour

    Conference paper
    ECIS 2026 Proceedings, Nr. 23, Milano, Italy
    https://aisel.aisnet.org/ecis2026/cog_hbis/cog_hbis/23/
    Project: Prom-Fellow
  • Valett, Lynne; Heeß, Paula; Kopp, Tobias; Niever, Manuel; Moock, Patricia; Strüker, Jens (2026)

    Digitale und nachhaltige Transformation in der Praxis

    Ein Readiness Check für die Twin Transformation

    Grey literature / report
    DOI: 10.24406/publica-7053
    https://publica.fraunhofer.de/entities/publication/b8b1f09a-419e-4dbc-8193-440c3a010a56/details
    Project: Prom-Fellow
  • Valett, Lynne; Keller, Robert; Körner, Marc-Fabian; Leinauer, Christina; Strüker, Jens (2026)

    From cost to carbon efficiency through digitalization: A quantitative case study in sustainable tourism

    Journal article
    Sustainability Analytics and Modeling, Nr. 100061
    DOI: 10.1016/j.samod.2026.100061
    Project: Prom-Fellow