Sökning: "Social Ventures"

Visar resultat 1 - 5 av 126 uppsatser innehållade orden Social Ventures.

  1. 1. Collaborative Product Development in partnership formation within Start-up Ventures

    Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

    Författare :Matteo Lindgren Pasquato; [2023]
    Nyckelord :Business and Economics;

    Sammanfattning : This master's thesis presents a qualitative research study on the partnership formation phase of Collaborative Product Development within start-up ventures. The research aims to identify the key factors that influence product development, with a specific focus on start-ups ventures. LÄS MER

  2. 2. Bracing for Impact : An Exploration into the Impact Startup Phenomenon

    Magister-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Caitlin Malloy Grave; Rebecca Kronvall Nino de Guzman; [2023]
    Nyckelord :Entrepreneurship; Startups; Impact Startups; Content Analysis; Sustainability; Sustainable Startup; Sustainable Innovation; Green Business; Entrepreneurial Ventures; Social; Environmental; TBL; Sustainable Development;

    Sammanfattning : The recently coined term, Impact Startup, and its rising popularity on the global scene proves its importance as a subject of research. As startups are considered key players in changing the status quo and breaking barriers, they are considered crucial in overcoming some of the most evident issues of today. LÄS MER

  3. 3. 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

  4. 4. Using Social Media and Personality Predictions to Anticipate Startup Success

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Daniel Stenson; [2023]
    Nyckelord :Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

    Sammanfattning : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. LÄS MER

  5. 5. Africa’s Readiness to Welcome Foreign Businesses : A study of Multinational Corporations (MNC) market selection and choice of entry into Emerging Frontier Markets in Africa (EFMA)

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för marknadsföring och turismvetenskap (MTS)

    Författare :Aiseosa Racheal Oshodi; [2023]
    Nyckelord :Emerging Frontier Market in Africa; Emerging Market; Frontier Market; Choice of Entry Mode; Multinational Corporation MNC ; Internationalization Strategy; Market Selection.;

    Sammanfattning : The internationalization strategies of multinational corporations (MNCs) in emerging frontier markets in Africa (EFMA) have become a subject of growing interest due to the region's dynamic economic landscape and untapped potential. This study aims to identify the factors affecting MNCs' market selection and mode of entry into EFMA. LÄS MER