Home // SIMUL 2019, The Eleventh International Conference on Advances in System Simulation // View article
Authors:
Stephanie C. Rodermund
Bernhard Neuerburg
Fabian Lorig
Ingo J. Timm
Keywords: Human Work Performance; Agent-based Modeling; Job Demands-Resources Model; Strain; Motivation.
Abstract:
Even though the relevance of the “human factor” for the performance of work processes is well known, the design and optimization of such processes, e.g., in factories, often strongly focuses on machines. Especially intrinsic mental states as strain and motivation can influence the human workers’ performance and thus the organizational outcome. This paper proposes an agent-based model of human work processes with respect to these intrinsic states. To this end, the well-established job demands- resources model is utilized. Experiments are presented that out- line the model’s capability to produce plausible results concerning the human work performance and the mutual influences between job demands, resources, and the intrinsic mental states of strain and motivation.
Pages: 8 to 13
Copyright: Copyright (c) IARIA, 2019
Publication date: November 24, 2019
Published in: conference
ISSN: 2308-4537
ISBN: 978-1-61208-756-6
Location: Valencia, Spain
Dates: from November 24, 2019 to November 28, 2019