- Corporate Governance and Management
- Evolutionary Game Theory and Cooperation
- Experimental Behavioral Economics Studies
- Auction Theory and Applications
- Digital Innovation in Industries
- Complex Systems and Time Series Analysis
- Game Theory and Applications
- Business Strategy and Innovation
- Accounting and Organizational Management
- Complex Systems and Decision Making
- Evolution and Genetic Dynamics
- Economic theories and models
- Business Process Modeling and Analysis
- Opinion Dynamics and Social Influence
- Supply Chain and Inventory Management
- Financial Reporting and Valuation Research
- Misinformation and Its Impacts
- Sentiment Analysis and Opinion Mining
- Innovation Diffusion and Forecasting
- Complex Network Analysis Techniques
- Public Administration and Political Analysis
- Flexible and Reconfigurable Manufacturing Systems
- Auditing, Earnings Management, Governance
- Corporate Social Responsibility and Sustainability
- Technology Use by Older Adults
University of Klagenfurt
2015-2024
Institute for Interdisciplinary Studies of Austrian Universities
2013-2021
University of Erfurt
2012-2014
Witten/Herdecke University
1998-2008
Universität Hamburg
1995
University of Illinois Urbana-Champaign
1954
Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of impacts generative AI on (mis)information three information-intensive domains: work, education, healthcare. Our goal is highlight how could worsen inequalities while illuminating may help mitigate pervasive social problems. information domain, can democratize content creation...
This article provides an overview of the current state agent-based modeling in managerial science. In particular, aim is to illustrate major lines development field and highlight opportunities limitations this research approach. The employs a twofold approach: First, survey on efforts employing simulation models related domains science given which have benefited considerably from method. Second, illustrative study conducted area management accounting research, domain which, so far, has...
Generative artificial intelligence, including chatbots like ChatGPT, has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of probable impacts generative AI on four critical domains: work, education, health, information. Our goal is warn about how could worsen inequalities while illuminating directions for using resolve pervasive social problems. in workplace can boost productivity...
This article studies how to dimension and control at the system level a fleet of autonomous aerial vehicles delivering goods from depots customers. Customer requests (jobs) arrive according space-time stochastic process. We compute lower bound for infrastructure expenditure required achieve certain expected delivery time. It is shown that job assignment policies can exhibit tipping point behavior: One vehicle makes difference between almost optimal time instability. phenomenon calls careful...
Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of impacts generative AI on (mis)information three information-intensive domains: work, education, healthcare. Our goal is highlight how could worsen inequalities while illuminating may help mitigate pervasive social problems. information domain, can democratize content creation access, but...
In this article, we provide an overview of applications simulation as a research method in the domain management accounting and control (MAC). According to different perspectives on systems, report simulation-based efforts related (1) (2) organizational mechanisms for managerial decision-making, (3) strategy development implementation. We find that—though not always labeled "MAC"—simulation-based provides valuable findings MAC, allows shedding new light conventional wisdom. For example,...
Generative artificial intelligence, including chatbots like ChatGPT, has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of probable impacts generative AI on four critical domains: work, education, health, information. Our goal is warn about how could worsen inequalities while illuminating directions for using resolve pervasive social problems. in workplace can boost productivity...
Abstract The hidden-action model captures a fundamental problem of principal-agent theory and provides an optimal sharing rule when only the outcome but not effort can be observed (Holmström in Bell J Econ 10(1):74, 1979). However, builds on various explicit also implicit assumptions about information contracting parties. This paper relaxes key regarding availability included order to study whether and, if so, how fast is achieved this affected by types employed relation. Our analysis...
This article analyzes two classes of job selection policies that control how a network autonomous aerial vehicles delivers goods from depots to customers.Customer requests (jobs) occur according spatio-temporal stochastic process not known by the system.If uses policy in which first (FJ) is served first, system may collapse instability removing just one vehicle.Policies serve nearest (NJ) show such threshold behavior only some settings and can be implemented distributed manner.The timing has...
Abstract Models involving human decision-makers often include idealized assumptions, such as rationality, perfect foresight, and access to relevant information. These assumptions usually assure the models’ internal validity but, at same time, might limit power explain empirical phenomena. This paper addresses well-known model of hidden action problem, which proposes an optimal performance-based sharing rule for situations in a principal assigns task agent outcome is shared between two...
This paper studies the emergence of task formation under conditions limited knowledge about complexity problem to be solved by an organization.Task is a key issue in organizational theory and particular interest when overall not known advance, since, for example, organization newly founded or has gone through external shock.The employs agent-based simulation based on framework NK fitness landscapes controls di erent levels coordination modes.In simulations, artificial organizations are...
This paper analyses how different coordination modes and multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model which we map as adaptive walk multiple performance landscapes, whereby landscape represents one objective. find that the impact of mode speed improvement critically affected by selected approach. In certain setups, performances achieved more complex turn...
Agent-based computational economics (ACE) - while adopted comparably widely in other domains of managerial science is a rather novel paradigm for management accounting research (MAR). This paper provides an overview opportunities and difficulties that ACE may have and, particular, introduces framework researchers employ when considering as their particular endeavor. The builds on the two interrelated paradigmatic elements ACE: set theoretical assumptions economic agents approach agent-based...
It has long been recognised that the identification of organizational members with their organization could mitigate collective action problems.One domain in economics and management addressing these fundamental problems is control, as it focuses on aligning individuals' behavior organization's objectives.This paper studies interaction major traits context, including principal means control.The study uses an agent-based simulation based framework NK fitness landscapes.In model, emerges...