Publications

Current working papers

Leitner, S. (2022). Collaborative search and autonomous task allocation in organizations of learning agentsarXiv preprint arXiv:206.0214.

Khodzhimatov, R., Leitner, S., & Wall, F. (2022). Controlling replication via the belief system in multi-unit organizations. arXiv preprint arXiv:206.03786.

Blanco-Fernandez, D., Leitner, S., Rausch, A. (2022). The benefits of coordination in (over)adaptive teams. arXiv preprint arXiv:206.14508.

Ghanem, N., Leitner, S., Jannach, D. (2022). Balancing consumer and business value of recommender systems: A simulation-based analysis. arXiv preprint arXiv:2203.05952.

Blanco-Fernandez, D., Leitner, S., Rausch, A. (2022). Dynamic groups in complex task environments: To change or not to change a winning team? arXiv preprint arXiv:2203.09157.

Leitner, S., & Wall, F. (2021). Micro-level dynamics in hidden action situations with limited information. arXiv preprint arXiv:2107.06002.

Blanco-Fernandez, D., Leitner, S., & Rausch, A. (2021). Interactions between the individual and the group level in organizations: The case of learning and autonomous group adaptation. arXiv preprint arXiv:2203.09162.

Adomavicius, G., Jannach, D., Leitner, S., & Zhang, J. (2021). Understanding longitudinal dynamics of recommender systems with agent-based modeling and simulation. arXiv preprint arXiv:2108.11068.

Reinwald, P., Leitner, S., & Wall, F. (2021). Limited intelligence and performance-based compensation: An agent-based model of the hidden action problem. arXiv preprint arXiv:2107.03764.

Leitner, S. (2021). On the role of incentives in evolutionary approaches to organizational designarXiv preprint arXiv:2105.04514.

Khodzhimatov, R., Leitner, S., & Wall, F. (2021). Interactions between social norms and incentive mechanisms in organizationsarXiv preprint arXiv:2102.12309.

Published work

Blanco-Fernandez, D., Leitner, S., & Rausch, A. (2022). Autonomous group formation of heterogeneous agents in complex task environments. In Advances in Social Simulation, Springer Proceedings in Complexity, pp. 131-144, Springer, Cham.

Reinwald, P., Leitner, S., & Wall, F. (2022). Effects of limited heterogeneous memory in hidden-action situations. In Advances in Social Simulation, Springer Proceedings in Complexity, pp. 119-129, Springer, Cham. (arXiv)

Blanco-Fernandez, D., Leitner, S., & Rausch, A. (2022). Multi-level Adaptation of Distributed Decision-Making Agents in Complex Task Environments. In MABS2021: Multi-Agent-Based Simulation XXII, pp. 29-41, Springer, Cham.

Khodzhimatov, R., Leitner, S., & Wall, F. (2021). On the effect of social norms on performance in teams with distributed decision makers. In Social, Cultural and Behavioral Modeling, Lecture Notes in Computer Science, pp. 299-147. Springer Nature Switzerland AG.

Leitner, S., & Wall, F. (2021). Decision-facilitating information in hidden-action setups: An agent-based approachJournal of Economic Interaction and Coordination16(2), 323-358.

Leitner, S., Gula, B., Jannach, D., Krieg-Holz, U., & Wall, F. (2021). Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary researchSN Business & Economics1(1), 1-18.

Blanco-Fernandez, D., Leitner, S., & Rausch, A. (2021). Dynamic coalitions in complex task environments. To change or not to change a winning team? Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21), 345-355.

Wall, F., & Leitner, S. (2020). Agent-based Computational Economics in Management Accounting Research: Opportunities and DifficultiesJournal of Management Accounting Research 33(3), 189-212.

van de Heijning, J., Leitner, S., & Rausch, A. (2020). On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based ApproachSIMUL2020: The Twelfth International Conference on Advances in System Simulation, 42-47.

Reinwald, P., Leitner, S., & Wall, F. (2020). An Agent-Based Model of Delegation Relationships with Hidden-Action: On the Effects of Heterogeneous Memory on PerformanceSIMUL2020: The Twelfth International Conference on Advances in System Simulation, 37-41.

Leitner, S. (2020). On the dynamics emerging from pandemics and infodemicsMind & Society, Collection: Pandemic 2020 and other disasters: What can we do with COVID19?, 20(1), 135-141.

Leitner, S., & Wall, F. (2018). An agent-based variant of the standard hidden-action model. Proceedings of the 9th Vienna Conference on Mathematical Modelling. 

Leitner, S., Rausch, A., & Behrens, D. A. (2017). Distributed investment decisions and forecasting errors: An analysis based on a multi-agent simulation model. European Journal of Operational Research258(1), 279-294.

Leitner, S., & Wall, F. (2017). Koordination mehrfacher Zielsetzungen als eine Besonderheit des Controllings in internationalen Unternehmen. In Internationale Rechnungslegung und Internationales Controlling (pp. 303-320). Springer Gabler, Wiesbaden.

Leitner, S., & Behrens, D. A. (2015). On the efficiency of hurdle rate-based coordination mechanismsMathematical and Computer Modelling of Dynamical Systems21(5), 413-431.

Leitner, S., & Wall, F. (2015). Simulation-based research in management accounting and control: an illustrative overviewJournal of Management Control26(2), 105-129.

Leitner, S., Brauneis, A., & Rausch, A. (2015). Shared investment projects and forecasting errors: setting framework conditions for coordination and sequencing data quality activitiesPloS one10(3), e0121362.

Leitner, S., Brauneis, A., & Rausch, A. (2015). Does collaboration pay? An investigation for the domain of distributed investment decisions. In Advances in Artificial Economics (pp. 1-13). Springer, Cham.

Leitner, S., & Wall, F. (2014). Multiobjective decision making policies and coordination mechanisms in hierarchical organizations: results of an agent-based simulationThe Scientific World Journal2014.

Leitner, S., & Wall, F. (2014). Coordination Mechanisms in Multi Objective Setups: Results of an Agent-Based Simulation. In International Workshop on Coordination, Organizations, Institutions, and Norms in Agent Systems (pp. 132-147). Springer, Cham.

Leitner, S., & Behrens, D. A. (2014). On the robustness of coordination mechanisms for investment decisions involving ‘incompetent’agents. In Artificial economics and self organization (pp. 191-203). Springer, Cham.

Leitner, S. (2014). A simulation analysis of interactions among intended biases in costing systems and their effects on the accuracy of decision-influencing informationCentral European Journal of Operations Research22(1), 113-138.

Leitner, S., & Behrens, D. A. (2015). On the fault (in) tolerance of coordination mechanisms for distributed investment decisions. Central European Journal of Operations Research23(1), 251-278.

Leitner, S. (2012). Information Quality and Management Accounting (Lecture Notes in Economics and Mathematical Systems, Vol. 664). Berlin, Heidelberg, New York: Springer.

Leitner, S. (2012). Interactions among biases in costing systems: A simulation approach. In Managing market complexity (pp. 209-220). Springer, Berlin, Heidelberg.

Wall, F., & Leitner, S. (2012). Die Relevanz der Nachhaltigkeit für unternehmerische EntscheidungenControlling24(4-5), 255-260.

Leitner, S., & Wall, F. (2011). Unexpected positive effects of complexity on performance in multiple criteria setups. In Operations Research Proceedings 2010 (pp. 577-582). Springer, Berlin, Heidelberg.

Leitner, S., & Wall, F. (2011). Effectivity of multi criteria decision-making in organisations: results of an agent-based simulation. In Emergent results of artificial economics (pp. 79-90). Springer, Berlin, Heidelberg.