Essays about: "venture capitalists"
Showing result 1 - 5 of 84 essays containing the words venture capitalists.
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1. VC Investment Decisions: Hunches, Metrics, or Coin Flips?
University essay fromAbstract : Venture capitalists (VCs) face a complex decision-making process when selecting startups to invest in. This qualitative single case study aims to highlight the factors VCs take into account and how their decisions vary depending on the investment area and startup stage, where previous research has yielded conflicting conclusions. READ MORE
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2. Selection Criteria In Governmental and Private Venture Capital - A comparison
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : Companies have, during recent years, increased the amount of venture capital (VC) that they invest in smaller start-ups. Today, private venture capitalists (PVC) and governmental venture capitalists (GVC) have sensed the value of such investments. The available literature comparing the decision criteria between GVCs and PVCs is scarce. READ MORE
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3. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups
University essay from Lunds universitet/Miljö- och energisystemAbstract : 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. READ MORE
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4. Positioning for Success: How Tech Entrepreneurs in Kenya Strategically Frame Startups to Secure Venture Capital from Developed Economies.
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : This paper investigates the strategic framing approaches implemented by tech entrepreneurs in developing economies to attract financing from venture capital (VC) firms in developed economies. The study addresses the limited research in the field of entrepreneurship, specifically focusing on entrepreneurs’ subjective perspectives on strategically framing their startups to secure VC investment from developed economies. READ MORE
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5. Using Social Media and Personality Predictions to Anticipate Startup Success
University essay from Lunds universitet/Matematisk statistikAbstract : 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. READ MORE