Sökning: "business model generation"

Visar resultat 1 - 5 av 195 uppsatser innehållade orden business model generation.

  1. 1. Challenges for Artificially Intelligent Medical Devices in the Nordics and Suggested Strategies to Respond

    Master-uppsats, Lunds universitet/Innovationsteknik

    Författare :Alva Rampe; Linea Holström; [2024]
    Nyckelord :Artificial Intelligence; Medical Device; HealthTech; Innovation Barriers; Technology and Engineering;

    Sammanfattning : With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. LÄS MER

  3. 2. Business Model Innovation for Energy Communities : A Cross-Comparative Analysis with the Business Model Canvas in the Swedish energy market

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Sohel Abdu; [2024]
    Nyckelord :Energy Communities; Renewable Energy Systems; Business Model Canvas Innovation; Swedish Energy Policy; Prosumer engagement; Circular Energy Economy; Smart Energy Technology; Sustainable Energy Transition.; Energigemenskaper; Förnybara Energisystem; Affärsmodells Canvas Innovation; Svensk Energipolitik; Prosumer engagemang; Cirkulär Energi Ekonomi; Smart Energiteknik; Hållbar Energi Övergång;

    Sammanfattning : This thesis undertakes a thorough exploration of business models for energy communities, specifically tailored to the unique requirements of the Swedish energy sector. Its objective is to identify and evaluate global business models for energy communities, focusing on their applicability within Sweden's regulatory, market, and socio-cultural contexts. LÄS MER

  4. 3. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Enzo Alexander Cording; [2023]
    Nyckelord :Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

    Sammanfattning : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. LÄS MER

  5. 4. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Miljö- och energisystem

    Författare :Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
    Nyckelord :Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

    Sammanfattning : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. LÄS MER

  7. 5. A Simulation-Based Decision Support Tool for Circularity : Remanufacturing of an Electric Machine Case Study

    Master-uppsats, KTH/Produktionsutveckling

    Författare :Mayari Pérez Tay; [2023]
    Nyckelord :Simulation; remanufacturing; circular business; electric machine;

    Sammanfattning : Over the last years, environmental concerns have grown regarding the pressure manufacturing activities exerts on natural resources. Many materials have been classified by the EU as scarce, rare earth elements found in magnets are amongst critical materials with high supply risk. LÄS MER