Author: Buket Bıyıklı

Date: 22 April 2026, Wednesday Time: 10.30 – 11.30 Online "CBDCs, Payment Firms, and Geopolitics" by Tobias Berg Geothe University Frankfurt Abstract  We analyze the effect of a major central bank digital currency (CBDC) – the digital euro – on the payment industry to find remarkably heterogeneous effects. Stock prices of U.S. payment firms decrease, while those of European payment firms increase in response to positive announcements on the digital euro. Bank stocks do not react significantly. We estimate a loss in market capitalization of USD 127 billion for U.S. payment firms, vis-à-vis a gain of USD 23 billion for European payment firms. Our results emphasize the medium-of-exchange function of CBDCs and point to the important role of geopolitical considerations in designing financial architecture. Bio Tobias Berg is Professor of…

Date: 10 April 2026, Friday Time: 16.30 – 17.30 Place: MA-330 "Consumer Attention to Data Disclosure: Evidence from Mobile Apps" by Kelly D. Martin Colorado State University Abstract The mobile apps that mediate everyday activities make data disclosures a routine part of people’s lives, but in fragmented prior research, the privacy threats associated with data disclosures dominate. To compliment such perspectives, the current research proposes a novel conceptualization that reflects how consumers respond when transparency policies make data disclosure practices salient. A large-scale, natural field experiment involving more than 700,000 app reviews, surrounding the introduction of Apple’s Privacy Nutrition Labels, reveals a negative relative effect of transparency on consumer attention to data disclosures. Yet as these labels diffused, and transparency became a platform standard, consumers seemed to attend specifically to…

Date: 25 March 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 "What the future may hold: Market formation of Social AI through sociotechnical imaginaries" by Hafize Çelik University of Bath https://zoom.us/j/8909487052?omn=92074757718 Meeting ID: 890 948 7052 Abstract  Artificial Intelligence marketplace offers a diverse set of consumer experiences with social AI services such as personal assistantship (e.g., ChatGPT, Siri), synthetic companionship (e.g., Replika), service workforce (e.g., Pepper), and care giving services (e.g., Paro). However, similar social AI products have been imagined by science fiction movies for the last 100 years. Drawing on Jasanoff and Kim’s (2009) sociotechnical imaginaries lens and Sara Mills’ (1997) discourse analysis, this research analyses fifteen systematically selected science fiction movies depicting social AI to explore how science-fiction movies imagine the future(s) of social AI market(s) and why…

Date: 25 February 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 "From Harm to Harmony? Epistemic Dominance and the Practice of Moral Repair” by Jordi Vives IESE Abstract  The restoration of damaged stakeholder relationships after a transgression, “moral repair,” has become an important and visible corporate practice. Yet, business ethics research offers incomplete guidance on it, because although organizations are investing in moral repair, victims frequently report dissatisfaction. Critical scholars generally attribute these failures to systemic power, but tend to overlook organization level repair tactics. Integrating these perspectives, we examine how systemic power shapes moral repair. Drawing on a case study of corporate repair efforts after the 2012 Marikana massacre in South Africa, we show that enduring victim dissatisfaction arises from epistemic dominance, a form of hegemonic power rooted in…

Date: 18 February 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 "Monetary Policy Shocks: A New Hope — Large Language Models and Central Bank Communication” by Ruben Fernandez Fuertes Bocconi University Abstract  I develop a multi-agent LLM framework that processes Federal Reserve communications to construct narrative monetary policy surprises. By analyzing Beige Books and Minutes released before each FOMC meeting, the system generates conditional expectations that yield less noisy surprises than market-based measures. These surprises produce theoretically consistent impulse responses where contractionary shocks generate persistent disinflationary effects, and enable profitable yield curve trading strategies that outperform alternatives. By directly extracting expectations rather than cleaning surprises ex post, this approach demonstrates how multi-agent LLMs can implement narrative identification at scale without contamination in high-frequency measure. Bio Rubén Fernández-Fuertes is a financial…