Publikationen aus TORE

2024

2023

  • Schmidt, Mark; Mertens, Kai Gustav; Meyer, Matthias
    Cost hierarchies and the pattern of product cost cross-subsidization: Extending a computational model of costing system design
    PLoS ONE 18(9): e0290370 (2023-09-11)
    Open Access | Publisher DOI
  • Grossmann, Igor; Rotella, Amanda; Hutcherson, Cendri; Sharpinskyi, Konstantyn; Varnum, Michael; Achter, Sebastian; Dhami, Mandeep K.; Guo, Xinqi Evie; Kara-Yakoubian, Mane; Mandel, David R.; Raes, Louis; Tay, Louis; Vie, Aymeric; Wagner, Lisa; Adamkovic, Matus; Arami, Arash; Arriaga Ferreira, Patricia; Bandara, Kasun; Baník, Gabriel; Bartoš, František; Baskin, Ernest; Bergmeir, Christoph; Białek, Michał; Børsting, Caroline Kjær; Browne, Dillon T.; Caruso, Eugene M.; Chen, Rong; Chie, Bin-Tzong; Chopik, William J.; Collins, Robert N.; Cong, Chin Wen; Conway, Lucian G.; Davis, Matthew; Day, Martin V.; Dhaliwal, Nathan A.; Durham, Justin D.; Dziekan, Martyna; Elbaek, Christian; Shuman, Eric; Fabrykant, Marharyta; Firat, Mustafa; Fong, Geoffrey T.; Frimer, Jeremy; Gallegos, Jonathan M.; Goldberg, Simon B.; Gollwitzer, Anton; Goyal, Julia; Graf-Vlachy, Lorenz; Gronlund, Scott D.; Hafenbrädl, Sebastian; Hartanto, Andree; Hirshberg, Matthew J.; Hornsey, Matthew; Howe, Piers D.L.; Izadi, Anoosha; Jaeger, Bastian; Kačmár, Pavol; Kim, Yeun Joon; Krenzler, Ruslan; Lannin, Daniel; Lin, Hung Wen; Lou, Nigel Mantou; Lua, Verity Y.Q.; Lukaszewski, Aaron W.; Ly, Albert L.; Madan, Christopher; Maier, Maximilian; Majeed, Nadyanna M.; March, David S.; Marsh, Abigail A.; Misiak, Michal; Myrseth, Kristian; Napan, Jaime; Nicholas, Jonathan; Nikolopoulos, Konstantinos; O, Jiaqing; Otterbring, Tobias; Paruzel-Czachura, Mariola; Pauer, Shiva; Protzko, John; Raffaelli, Quentin; Ropovik, Ivan; Ross, Robert M.; Roth, Yefim; Røysamb, Espen; Schnabel, Landon; Schütz, Astrid; Seifert, Matthias; Sevincer, A. T.; Sherman, Garrick T.; Simonsson, Otto; Sung, Ming Chien; Tai, Chung Ching; Talhelm, Thomas; Teachman, Bethany; Tetlock, Philip; Thomakos, Dimitrios; Tse, Dwight C.K.; Twardus, Oliver; Tybur, Joshua M.; Ungar, Lyle; Vandermeulen, Daan; Vaughan Williams, Leighton; Vosgerichian, Hrag A.; Wang, Qi; Wang, Ke; Whiting, Mark E.; Wollbrant, Conny E.; Yang, Tao; Yogeeswaran, Kumar; Yoon, Sangsuk; Alves, Ventura R.; Andrews-Hanna, Jessica R.; Bloom, Paul A.; Boyles, Anthony; Charis, Loo; Choi, Mingyeong; Darling-Hammond, Sean; Ferguson, Z. E.; Kaiser, Cheryl R.; Karg, Simon Tobias; Ortega, Alberto López; Mahoney, Lori; Marsh, Melvin; Martinie, Marcellin F.R.C.; Michaels, Eli K.; Millroth, Philip; Naqvi, Jeanean B.; Ng, Weiting; Rutledge, Robb B.; Slattery, Peter; Smiley, Adam H.; Strijbis, Oliver; Sznycer, Daniel; Tsukayama, Eli; van Loon, Austin; Voelkel, Jan G.; Wienk, Margaux; Wilkening, Tom
    Insights into the accuracy of social scientists’ forecasts of societal change
    Nature Human Behaviour 7 (4): 484-501 (2023-02-09)
    Publisher DOI
  • Mertens, Kai Gustav; Rennpferdt, Christoph; Greve, Erik; Krause, Dieter; Meyer, Matthias
    Reviewing the intellectual structure of product modularization: Toward a common view and future research agenda
    Journal of Product Innovation Management 40 (1): 86-119 (2023-01)
    Open Access | Publisher DOI
  • Plähn, Jannick; Bellora-Bienengräber, Lucia; Mertens, Kai G.; Meyer, Matthias
    Combining experiments with agent-based modeling : benefits for experimental management accounting research
    17th Social Simulation Conference (SSC 2022)
    Publisher DOI
  • Harten, Clemens; Bellora-Bienengräber, Lucia; Meyer, Matthias
    Effektive Risikoworkshops … Aber wie?
    Controlling 2: 50-54 (2023)
  • Meyer, Matthias
    Qualitätsdimensionen eines Digital Reportings: Was ist Noise und warum sollte man darauf achten?
    in: Digital Reporting Transformation des Controllerbereichs durch den digitalen Wandel; Arbeitskreis Digital Reporting, Schmalenbach-Gesellschaft für Betriebswirtschaft e. V. (Hrsg.) (2023)
  • Bellora-Bienengräber, Lucia; Harten, Clemens; Meyer, Matthias
    The effectiveness of risk assessments in risk workshops : the role of calculative cultures
    Journal of Risk Research 26 (2): 163-183 (2023)
    Open Access | Publisher DOI

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[64421]
Title: Structural Equation Modeling for Individual-based Simulation. <em>Proceedings of the 8th International Congress on Environmental Modelling and Software</em>
Written by: Mertens, Kai G. and Lorscheid, Iris and Meyer, Matthias
in: <em>Proceedings of the 8th International Congress on Environmental Modelling and Software</em>. (2016).
Volume: <strong>4</strong>. Number: (1),
on pages: 492-493
Chapter:
Editor: In Sauvage, S. and Sánchez-Pérez, J.M. and Rizzoli, A.E. (Eds.)
Publisher:
Series:
Address: July 10-14, Toulouse, FRANCE
Edition:
ISBN: 978-88-9035-745-9
how published:
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School:
Institution:
Type: Book Section
DOI:
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Abstract: Simulation modelling and individual-based modelling in particular is widely applied to analyse socio-ecological systems (SES). However, the degree of complexity of SES and the corresponding characteristics of individual-based models challenge their analysis. In particular, the analysis might be aggravated by characteristics such as a high number of entities and parameters, interdependent relations as well as several layers of effects. In addition, the analysis has to cover sometimes multivariate simulation model outputs. Further challenges concerning the analysis of these complex models and their results are their subsequent understanding and communication, which are crucial but often neglected tasks in simulation modelling. Overall, these challenges affect the credibility of results and may also impede the validation and verification of simulation models. To address this, we propose an integrated statistical modelling approach based on structural equation modelling using the partial least squares algorithm (PLS-SEM). It has been recently suggested as a new metamodeling technique for agent-based modelling. This method integrates models’ entities, their parameters and their conceptual relations as well as the resulting simulation model output. Based on this, we can estimate and evaluate highly networked systems in metamodels to depict their underlying characteristics. In this sense, the resulting metamodel is able to expose the complex behaviour and relationships of the simulation model and further improves the understanding of SES. Furthermore, this method can be conveniently applied by means of standard software and provides a consumable graphical presentation of the models’ entities, their parameters and their relations to stakeholders. Overall, the resulting link between the simulation model behaviour and the thereby generated data displayed in a graphical language considerably supports the understanding and communication of individual-based simulation models and their results.