M
Matthäus P. Zylka
Researcher at University of Bamberg
Publications - 13
Citations - 179
Matthäus P. Zylka is an academic researcher from University of Bamberg. The author has contributed to research in topics: Turnover & Social network analysis. The author has an hindex of 5, co-authored 13 publications receiving 124 citations.
Papers
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Journal ArticleDOI
Business model development, founders' social capital and the success of early stage internet start-ups: a mixed-method study
TL;DR: This study builds on and extends the emerging business model research stream and finds strong support for the critical importance of the founders' social capital for early stage internet start‐up success.
Proceedings ArticleDOI
Collective Dynamics of Crowdfunding Networks
TL;DR: This study uses a large longitudinal dataset to analyze the behavior of actors on both sides of the market who promote their own and fund others' projects, and establishes that experienced and popular project creators fund fewer projects.
Journal ArticleDOI
Social Network Analysis in Software Development Projects : A Systematic Literature Review
TL;DR: This research presents a novel and scalable approach called “Smart Machines” that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging data for use in software development.
Journal ArticleDOI
Turning the Spotlight on the Consequences of Individual IT Turnover: A Literature Review and Research Agenda
Matthäus P. Zylka,Kai Fischbach +1 more
TL;DR: This study conducts a multidisciplinary scoping literature review of individual voluntary IT turnover behavior, with the focus on the consequences, and specifies a research agenda for future IT turnoverbehavior consequences research by highlighting knowledge gaps for potentially fruitful research directions.
Book ChapterDOI
Growth Hacking: Exploring the Meaning of an Internet-Born Digital Marketing Buzzword
TL;DR: This study separates growth hacking from traditional marketing strategies and creates a growth hacking process model depicting a sort of consensus of what can be thought to be integral parts of growth hacking.