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Master's Thesis from the year 2020 in the subject Business economics - Information Management, grade: 1,3, University of Applied Sciences Kaiserslautern, language: English, abstract: Venture capital funded companies are far more present in the media than organically grown companies. This makes us erroneously assume that there is only one way to building a successful company: by raising VC (venture capital).The truth is, however, that only a tiny fraction of all small businesses obtains VC in the course of their life span. In fact, from all the companies aspiring to receive funding through VC, 99% will never achieve this objective.Among the 1% that does achieve funding, there are companies that have to go out of business because they get overfunded and lose their focus. Others recognize that entrepreneurs and investors have fundamentally different motivations, especially regarding the exit.Therefore, growth-oriented founders of tech companies wonder whether it is possible for them to scale without investors, and how they can approach to do so. This thesis aims to provide answers to these two questions, primarily by investigating companies that have already scaled successfully and by extracting the main lessons from their growth journey.
Studienarbeit aus dem Jahr 2018 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, Fachhochschule Kaiserslautern Standort Zweibrücken, Sprache: Deutsch, Abstract: Sei es als Studierender an einer Hochschule, im Beruf oder in der Freizeit: das World Wide Web unterstützt eine Vielzahl an Menschen in unterschiedlichsten Situationen und bei verschiedensten Fragestellungen. Das World Wide Web hat das Leben der Menschen verändert, es hat viele neue Gefahren mit sich gebracht und mindestens genauso viele positive Entwicklungen begünstigt. Diese Arbeit möchte einen groben Überblick darüber verschaffen, woher das Web kommt, wie es funktioniert und wie es sich vom Internet unterscheidet. Ein weiteres Ziel ist das Verständnis verschiedener Herausforderungen und Hürden, denen sich das Web aktuell stellen muss, sowie die Untersuchung spezifischer Web-Technologien.
Today¿s most precious raw material is not gold, but Big Data: Each one of us generates a huge amount of information every single day, rendering thus both ourselves and our choices transparent. But in addition to that, Big Data helps companies to improve their decision-making.Since managers have to address highly complex issues in an ever more complicated world, they cannot do without Big Data and Artificial Intelligence, as Carolin Nothof explains. By taking into account various external factors, their algorithms predict right entrepreneurial choices.These choices can be made in areas such as retail, Human Resources, the Internet of Things, and marketing. Nothof¿s publication is not only rich in theoretical explanations, but also gives examples of the practical use of Big Data in various industries. Machines are a man¿s best co-workers.In this book:- Big Data;- decision-making;- AI;- Behavorial Economics;- Machine Learning;- algorithms
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