Sökning: "Startup funding"
Visar resultat 1 - 5 av 45 uppsatser innehållade orden Startup funding.
1. Controlled environmental agriculture & the need for innovations networks
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This thesis explores which innovation systems that facilitates growth for Controlled Environment Agriculture (CEA) companies and to successfully operate within the food industry. This was done by interviewing several companies within the CEA industry as well as relevant governmental organizations. LÄS MER
2. Positioning for Success: How Tech Entrepreneurs in Kenya Strategically Frame Startups to Secure Venture Capital from Developed Economies.
Magister-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : 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. LÄS MER
3. Challenges and Strategies in manoeuvring the financial arena for Hardware Startups
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Startups, which are an important driver of innovation, has a very important role in the growth of an economy. They are contributing through the growth in employment by generating new jobs and through the development of new sectors. Thorough innovation, startups enable the achievement of increased productivity without necessarily changing the input. LÄS MER
4. Using Social Media and Personality Predictions to Anticipate Startup Success
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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. Portfolio Risk Modelling in Venture Debt
Master-uppsats, KTH/Matematisk statistikSammanfattning : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. LÄS MER