On this page, you will find a comprehensive list of my publications, including journal articles, conference proceedings, and book chapters, as well as my recent working papers. My research aims to understand the intricacies of organizational systems and processes, and to use simulation-based techniques such as agent-based modeling and simulation to study complex dynamics within organizations. My research interests include incentives, task allocation, collaboration, autonomy, and the interplay between individuals, teams, and organizations. I hope that this page will give you a glimpse into my research and scholarly endeavors, and that my work will be of interest to you.

Working Papers

Leitner, S. (2023). Building resilient organizations: The roles of top-down vs. bottom-up organizing.

Banihashemi, A., Leitner, S., Rausch, A., Mödritscher, G. (2023). A comparative analysis of open and closed strategy-making: A simulation study.

Jannach, D., Leitner, S. (2023). Agent-based modeling in e-commerce.

Leitner, S. (2023). Corporate Investment. Advancing theoretical perspectives using agent-based techniques.

Wall, F., Chen S.-H., Leitner, S. (2023). Agent-based modeling and simulation for bridging the micro-macro divide in management science: An introductory essay.

Leitner, S. (2023). Designing organizations for bottom-up task allocation: The role of incentives. arXiv preprint arXiv: 2301.00410.

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.

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.

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.


Blanco-Fernandez, D., Leitner, S., & Rausch, A. (2023). Interactions between the individual and the group level in organizations: The case of learning and group turnover. Central European Journal of Operations Research, in press. (arXiv)


Leitner, S., & Wall, F. (2022). Micro-level dynamics in hidden action situations with limited information. Journal of Economic Behavior and Organization, in press. (arXiv).

Khodzhimatov, R., Leitner, S., & Wall, F. (2022). Interactions between social norms and incentive mechanisms in organizations. In Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV. COINE 2021. Lecture Notes in Computer Science, vol. 13239, pp. 111-126, Springer, Cham. (arXiv)

Ghanem, N., Leitner, S., Jannach, D. (2022). Balancing consumer and business value of recommender systems: A simulation-based analysis. Electronic Commerce Research and Applications, in press. (arXiv)

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.


Adomavicius, G., Jannach, D., Leitner, S., & Zhang, J. (2021). Understanding longitudinal dynamics of recommender systems with agent-based modeling and simulation. Proceedings of the Workshop on Simulation Methods for Recommender Systems (SimuRec) at ACM RecSys ’21. (arXiv)

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 fault (in) tolerance of coordination mechanisms for distributed investment decisions. Central European Journal of Operations Research23(1), 251-278.

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. (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.