activity
20202026
most citedWhat is the Price of a Skill? The Value of Complementarity

172 citations · 287 across the 14 of their papers we have counts for

collaborators

14 papers

econ.GN2026

Navigating the skill diversity frontier: How skill complexity explains worker resilience

Mar Carpanelli, Jedrzej Duszynski, Fabian Stephany

As artificial intelligence transforms labor markets, understanding what makes workers adaptable has become increasingly important. Existing approaches typically characterize human…

econ.GN2026

Women Worry, Men Adopt? Gendered Risk Perceptions and Generative AI Adoption

Fabian Stephany, Jedrzej Duszynski

Generative artificial intelligence (GenAI) is spreading rapidly across work and daily life, yet adoption remains uneven. Men use GenAI more frequently than women, potentially widen…

econ.GN2023★ 34 cited

The Science of Startups: The Impact of Founder Personalities on Company Success

Paul X. McCarthy, Xian Gong, Fabian Stephany +3

Startup companies solve many of today's most complex and challenging scientific, technical and social problems, such as the decarbonisation of the economy, air pollution, and the d…

econ.GN2022★ 172 cited

What is the Price of a Skill? The Value of Complementarity

Fabian Stephany, Ole Teutloff

The global workforce is urged to constantly reskill, as technological change favours particular new skills while making others redundant. But which skills are a good investment for…

econ.GN2021★ 73 cited

The global polarisation of remote work

Fabian Braesemann, Fabian Stephany, Ole Teutloff +3

The Covid-19 pandemic has led to the rise of remote work with consequences for the global division of work. Remote work could connect labour markets, but it could also increase spa…

econ.GN2021

Online Labour Index 2020: New ways to measure the world's remote freelancing market

Fabian Stephany, Otto Kässi, Uma Rani +1

The Online Labour Index (OLI) was launched in 2016 to measure the global utilisation of online freelance work at scale. Five years after its creation, the OLI has become a point of…

econ.GN2021

The Future of Employment Revisited: How Model Selection Determines Automation Forecasts

Fabian Stephany, Hanno Lorenz

The uniqueness of human labour is at question in times of smart technologies. The 250 years-old discussion on technological unemployment reawakens. Prominently, Frey and Osborne (2…

econ.GN2021★ 2 cited

How Many Online Workers are there in the World? A Data-Driven Assessment

Otto Kässi, Vili Lehdonvirta, Fabian Stephany

An unknown number of people around the world are earning income by working through online labour platforms such as Upwork and Amazon Mechanical Turk. We combine data collected from…

econ.GN2020★ 3 cited

A Mixed-Method Landscape Analysis of SME-focused B2B Platforms in Germany

Tina Krell, Fabian Braesemann, Fabian Stephany +2

Digital platforms offer vast potential for increased value creation and innovation, especially through cross-organizational data sharing. It appears that SMEs in Germany are curren…

cs.SI2020★ 1 cited

Wikipedia: A Challenger's Best Friend? Utilising Information-seeking Behaviour Patterns to Predict US Congressional Elections

Hamza Salem, Fabian Stephany

Election prediction has long been an evergreen in political science literature. Traditionally, such efforts included polling aggregates, economic indicators, partisan affiliation,…

cs.SI2020★ 2 cited

How the Far-Right Polarises Twitter: 'Highjacking' Hashtags in Times of COVID-19

Philipp Darius, Fabian Stephany

Twitter influences political debates. Phenomena like fake news and hate speech show that political discourse on micro-blogging can become strongly polarised by algorithmic enforcem…

cs.SI2020

How to Hijack Twitter: Online Polarisation Strategies of Germany's Political Far-Right

Philipp Darius, Fabian Stephany

With a network approach, we examine the case of the German far-right party Alternative für Deutschland (AfD) and their potential use of a "hashjacking" strategy. Our findings sugge…

cs.SI2020

Social media self-branding and success: Quantitative evidence from a model competition

Fabian Braesemann, Fabian Stephany

Thanks to the availability of large online data sets, it has become possible to quantify success in different fields of human endeavour. The study presented here contributes to thi…

econ.GN2020

The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time

Fabian Stephany, Niklas Stoehr, Philipp Darius +3

While the coronavirus spreads, governments are attempting to reduce contagion rates at the expense of negative economic effects. Market expectations plummeted, foreshadowing the ri…