Masterarbeit, 2016
99 Seiten
This Master's thesis critically examines the utility of crowdsourcing for evaluating business ideas and their market potential within the context of creating a business plan. The goal is to analyze the opportunities and risks of integrating crowdsourcing techniques into the business plan development process. This involves a detailed exploration of the theoretical foundations of both crowdsourcing and business plan creation, including their historical evolution and current practices.
The thesis focuses on key concepts like crowdsourcing, business plan development, market potential evaluation, and idea generation. It explores the theoretical foundations of both crowdsourcing and business planning, including their evolution, types, and practical applications. The research utilizes empirical data gathered through a survey to analyze the utility of crowdsourcing for business plan development. This includes analyzing the opportunities and risks associated with this approach, examining the feasibility of existing crowdsourcing platforms, and considering the development of a new platform tailored to business plan development.
Crowdsourcing is the process of using the collective intelligence and knowledge of a large group of people (the "crowd") to solve problems or evaluate ideas, often via the internet.
It can be used to evaluate the market potential of business ideas, gather diverse perspectives, and refine strategies through the collective judgment of independent individuals.
This phenomenon, described by James Surowiecki, suggests that large groups of people are often smarter and better at making decisions than individual experts due to statistical effects and diverse information.
Well-known examples include Wikipedia, the Firefox web browser, and the Linux operating system, all of which rely on collective participation.
Risks include potential lack of quality control, intellectual property concerns, and the challenges of managing large amounts of distributed data.
The text uses the "Who wants to be a Millionaire?" audience joker as an analogy for Crowdsourcing, showing its high success rate (90%) compared to individual experts (54%).
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