Author: fbaadm

Date: 01 April 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 "Balancing Exploration and Exploitation: The Role of Intuition–Analysis Versatility and Paradoxical Leadership" by Amir Mehralian Exeter Abstract  While ambidexterity research has largely emphasized macro-level mechanisms, the micro-level foundations that allow employees to balance exploration and exploitation remain underdeveloped. Yet, because organizational ambidexterity ultimately emerges from employees’ ability to enact both activities, uncovering these micro-foundations is essential. Drawing on dual-system theory and the paradox perspective, we theorize that cognitive flexibility enables employees to enact ambidexterity through intuition–analysis versatility—cognitive strategies to switch between and integrate intuitive and analytic modes of processing. Moreover, paradoxical leadership serves as a crucial boundary condition that legitimizes and motivates cognitively flexible employees to deploy versatile cognitive strategies and translate them into ambidextrous behaviors. Evidence from a…

Date: 27 March 2026, Friday Time: 13.30 – 14.30 "AI for Economics and Finance" by Lin William Cong Cornell University https://zoom.us/j/8909487052?omn=96499682404 Meeting ID: 890 948 7052 Abstract I characterize modern AI development as featuring two core themes: (i) goal-oriented end-to-end optimization in large modelling space, and (ii) generative pre-trained foundational models that enable economic world models and AI agents. Combining the insights from both, I identify promising directions in AI for Social Science Research. To start, I introduce Goal-Oriented Algorithms in Large Space (GOALS) involving transformer-based reinforcement learning or panel trees, which are particularly suited for answering questions related to optimal decision-making and modelling grouped heterogeneity in social science research. In several specific financial applications, I show how GOALS can effectively and flexibly manage investment portfolios, generate test portfolios or latent factors for evaluating extant…

Date: 09 March 2026, Monday Time: 13.30 – 14.30 Place: MA-330 "Accuracy and uncertainty in venture selection: The roles of experience and complexity” by Thomas Astebro HEC Paris Abstract  Venture capitalists, business angels, funding agencies, and incubators evaluate ventures,a difficult task where decision uncertainty is high. We examine how the degree of cognitive complexity and human expertise affects judges’ admission recommendations at an incubator. Judges read an application, use preset criteria to score it, and form an intuitive overall judgment to accept or reject the application. We model and test how cognitive complexity and judge expertise affect this judgment through a Bayesian classification model, with implications on classification uncertainty and accuracy. Judges demonstrate poor accuracy in evaluating venture quality, but we show that the decision environment is so noisy that…

Date: 04 March 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 "The Accredited Investor Definition, Private Investments, and Wealth Inequality in the US” by Aras Canipek Columbia University & SAFE Abstract  I study household finances around the income eligibility rules of the accredited investor definition that allow only high-income households access to private investments. Such investments have recently been linked to higher returns and the increase in wealth inequality. My analysis shows that access to private markets increases private investments. The result provides an answer to an important question in the literature and in politics: differences in private investments are not only caused by differences in abilities and tastes between wealthy and poor households, but also simply by access to private investments. Moreover, I find discontinuities in wealth and returns.…

Date: 20 February 2026, Wednesday Time: 13.30 – 14.30 Place: MA-330 "Supply chain risk management: Sharing information and exploring uncertainty" by Stefan Minner Technical University of Munih Abstract  Different sources of uncertainty and local information present major challenges in logistics and supply chain coordination. Effective distributed data-driven learning and decision making requires a balance between proactive and reactive exploration and exploitation as well as uncertainty modeling in dynamically changing environments. We discuss cooperative and competitive coordination schemes, different information sources and fusion concepts, digital technologies and strategies for effective information sharing and learning, and economic frameworks for information valuation.  Bio Stefan Minner is a Full Professor for Logistics and Supply Chain Management at the School of Management, Technical University of Munich (TUM) and a core-member of the Munich Data Science…

Date: 28 January 2026, Wednesday Time: 10.30 – 11.30 Place: MA-330 "Why Do I Do What I Do? How Searching for Meaning at Work Can Facilitate the Spread of Unethical Conduct Through Organizations" by Marius Van Dijke RSM Abstract  Existing work has explained the trickling down of unethical leader behavior through organizations in terms of social learning or social exchange processes. We identify a key limitation of these explanations and propose a novel process to explain the trickling down of unethical leader behavior. We build on Baumeister’s (1991) account of meaning, which depicts it as a system of mental connections between objects and events. We propose that strongly (vs. weakly) searching for meaning at work strengthens trickle-down effects of unethical leadership from higher-level managers, via lower-level managers to employees. We…

Date: 19 January 2026, Monday Time: 10.30 – 11.30 Place: MA-330 " Digital Solutions to the Obesity Crisis: Evaluating the Impact of Online Grocery Delivery Services " by Alireza Golmohammadi Belk College of Business Abstract  Despite extensive efforts in developed nations to combat obesity, rates continue to rise, particularly in the U.S., with low-income populations being disproportionately affected. This study examines the potential of third-party online grocery delivery services (OGDS) to mitigate obesity. Utilizing a staggered difference-in-differences approach, we analyze the impact of OGDS’s entry on obesity rates. Our findings reveal that OGDS entry is associated with a significant reduction in obesity rates, averaging -.64%, which translates to an annual medical cost saving of $2.91 billion. However, the positive impact of OGDS entry is less pronounced in low-income areas, indicating…