The innovation dynamics of programming technologies
By Conrad Borchers and Fabian Braesemann
Why programming technologies rise or fall depends on the new technologies that can either replace or support older ones.
Who uses general-purpose AI? A typology of ChatGPT early adopters
By Christoph Gerling, Timm Teubner and Fabian Braesemann
How people adopt general-purpose AI tools depends on differing priorities around utility, trust, convenience, social interaction, and privacy, revealing distinct adopter types.
How have urban housing preferences developed in response to the COVID-19 pandemic? A case study of Vienna
By Fabian Braesemann, Jan Kluge, Hanno Lorenz
COVID-19-driven digital work trends shifted housing preferences in Vienna, increasing demand for work-from-home amenities and reshaping future urban housing needs.
Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand
By Ole Teutloff, Johanna Einsiedler, Otto Kässi, Fabian Braesemann, Pamela Mishkin and R. Maria del Rio-Chanona
ChatGPT reduced demand for substitutable freelance skills like writing, while increasing demand for AI-complementary skills such as machine learning and chatbot development.
The impact of founder personalities on startup success
By Paul McCarthy, Xian Gong, Fabian Braesemann, Fabian Stephany, Marian-Andrei Rizoiu and Margaret Kern
Why some startups succeed more than others can be explained with founders’ personality traits and the diversity of personalities within the founding team.
Killers on the Road of Emerging Start-Ups – Implications for Market Entry and Venture Capital Financing
By Heli Koski, Otto Kässi and Fabian Braesemann
Large tech companies can reduce innovation by creating “kill zones” that discourage new market entry and venture capital investment in related markets.
The global polarisation of remote work
By Fabian Braesemann, Fabian Stephany, Ole Teutloff, Otto Kässi, Mark Graham, Vili Lehdonvirta
Remote work connects global labour markets but remains highly unequal, concentrating in skilled workers, major cities, and a few regions while many rural and Global South areas lag behind.
PropTech: Turning Real Estate Into a Data-Driven Market?
By Fabian Braesemann and Andrew Baum
Property Technologies are an increasingly important global phenomenon with data analytics technologies at the core of the network.
Can digital technologies speed up real estate transactions?
By Andrew Saull, Andrew Baum, Fabian Braesemann
Commercial real estate deals are delayed mainly by fragmented property data. Digital tools like property passports could improve efficiency, but adoption barriers remain significant.
Coding Together – Coding Alone: The Role of Trust in Collaborative Programming
By Fabian Stephany, Fabian Braesemann, Mark Graham
If policymakers want to develop a lively local digital economy, it is not enough to provide fast Internet access and business opportunities.
ICTs and the urban-rural divide: can online labour platforms bridge the gap?
By Fabian Braesemann, Vili Lehdonvirta, Otto Kässi
Online labour platforms help rural workers access high-skilled remote jobs, though the most isolated regions still benefit far less from these opportunities.
Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends
By Niklas Stoehr, Fabian Braesemann, Michael Frommelt and Shi Zhou
How digital transformation reshapes industries can be revealed through web networks, where links and content expose firms’ innovation priorities, market orientation, and competitive position.
Understanding the Platform Economy: Signals, Trust, and Social Interaction
By Maik Hesse, Fabian Braesemann, David Dann and Timm Teubner
Platforms with higher social interaction rely more on expressive trust cues, and users value different trust mechanisms depending on the platform context.
The evolution of digital technologies: a network perspective on machine learning
By Fabian Braesemann
How a network of programming forum posts revealed the rise of machine learning in 2019.
Global networks in collaborative programming
By Fabian Braesemann, Niklas Stoehr and Mark Graham
Knowledge exchange between programmers is theoretically geographically unrestricted but it strongly clusters in metropolitan regions in North America, Western Europe, and South Asia.
An Exploration of Wikipedia Data as a Measure of Regional Knowledge Distribution
By Fabian Stephany, Fabian Braesemann
Wikipedia usage and editing data correlate with traditional knowledge measures, suggesting a scalable, low-cost, real-time proxy for mapping knowledge distribution worldwide.