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international conference on information systems | 2017

Finding the Unicorn: Predicting Early Stage Startup Success Through a Hybrid Intelligence Method

Dominik Dellermann; Nikolaus Lipusch; Philipp Ebel; Karl Michael Popp; Jan Marco Leimeister

Artificial intelligence is an emerging topic and will soon be able to perform decisions better than humans. In more complex and creative contexts such as innovation, however, the question remains whether machines are superior to humans. Machines fail in two kinds of situations: processing and interpreting “soft” information (information that cannot be quantified) and making predictions in “unknowable risk” situations of extreme uncertainty. In such situations, the machine does not have representative information for a certain outcome. Thereby, humans are still the “gold standard” for assessing “soft” signals and make use intuition. To predict the success of startups, we, thus, combine the complementary capabilities of humans and machines in a Hybrid Intelligence method. To reach our aim, we follow a design science research approach to develop a Hybrid Intelligence method that combines the strength of both machine and collective intelligence to demonstrate its utility for predictions under extreme uncertainty.


International Conference on Design Science Research in Information System and Technology | 2017

Developing Design Principles for a Crowd-Based Business Model Validation System

Dominik Dellermann; Nikolaus Lipusch; Philipp Ebel

The high uncertainty of creating business models demands entrepreneurs to re-evaluate and continuously adapt them. Therefore, incubators offer validation services. However, systematic, and scalable information systems to enable interaction with a crowd of potential customers, investors, or other stakeholders and entrepreneurs do not exist. Our aim is thus to develop tentative design principles for crowd-based business model validation (CBMV) systems. Such systems should support entrepreneurs to reduce the uncertainty about the validity of their business model. Thus, we apply a theory-driven design approach based on knowledge drawn from literature and complemented by empirical insights. For developing such information systems, we combine the concept of crowdsourcing with findings from research on decision support systems to propose theory-grounded design principles for a CBMV system. The identified design principles describe a potential solution to a problem that previous research proved as viable.


Archive | 2017

Crowdfunding zur Gründungsfinanzierung von Startups aus dem universitären Bereich

Nikolaus Lipusch; Ulrich Bretschneider; Jan Marco Leimeister

Crowdfunding gewinnt als Instrument der Innovations- und Grundungsfinanzierung immer mehr an Bedeutung. Innerhalb der letzten 5 Jahre entwickelte es sich von einem Nischenthema hin zu einer ernstzunehmenden Alternative zu hergebrachten Finanzierungsmethoden. Diese Arbeit beschaftigt sich mit der Frage, ob und in wie weit die verschiedenen Crowdfunding-Methoden bereits fur die Grundungsfinanzierung im universitaren Umfeld genutzt werden. Hierfur werden zunachst der Begriff Crowdfunding an Hand der vorhandenen wissenschaftlichen Literatur definiert und die Grundlagen der Grundungsfinanzierung und die besonderen Probleme von universitaren Grundungen beschrieben. Im weiteren Verlauf wird, mit Hilfe einer Kombination aus einem Fragebogen und Experteninterviews eine empirische Erhebung zu der bisherigen Nutzung von Crowdfunding zur Grundungsfinanzierung an deutschsprachigen Hochschulen durchgefuhrt und ausfuhrlich dargestellt. Ziel ist es, den aktuellen Entwicklungsstand des zur Startup-Finanzierung genutzten Crowdfundings und weitere Anwendungsmoglichkeiten und Forschungsfelder in diesem Bereich aufzuzeigen.


Archive | 2018

Heading for new shores: Crowdsourcing for entrepreneurial opportunity creation

Dominik Dellermann; Nikolaus Lipusch; Phlipp Ebel


hawaii international conference on system sciences | 2018

Innovating Beyond the Fuzzy Front End: How to Use Reward-Based Crowdfunding to Co-create with Customers

Nikolaus Lipusch; Dominik Dellermann; Sarah Oeste-Reiß; Philipp Ebel


Archive | 2018

Combining Humans and Machine Learning: A Novel Approach for Evaluating Crowdsourcing Contributions in Idea Contests

Dominik Dellermann; Nikolaus Lipusch; Mahei Li


Archive | 2018

Initial Coin Offerings – A Paradigm Shift in Funding Disruptive Innovation

Nikolaus Lipusch


Electronic Markets | 2018

Design principles for a hybrid intelligence decision support system for business model validation

Dominik Dellermann; Nikolaus Lipusch; Philipp Ebel; Jan Marco Leimeister


european conference on information systems | 2017

Using Crowdfunding For Start-Up Evaluation: How Task Representation Influences Predition Accuracy of The Crowd.

Nikolaus Lipusch; Dominik Dellermann; Philipp Ebel


Archive | 2017

Text Mining in Ideencommunities: Gestaltungsempfehlungen eines Text Mining Artefakts zur Unterstützung der Ideenevaluation

Thomas Maier; Sebastian Gronich; Ann-Katrin Rickert; Nikolaus Lipusch

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