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Erschienen in:
The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Studying Emotions at Work Using Agent-Based Modeling and Simulation

verfasst von : Hanen Lejmi-Riahi, Mouna Belhaj, Lamjed Ben Said

Erschienen in: Artificial Intelligence Applications and Innovations

Verlag: Springer International Publishing

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Abstract

Emotions in workplace is a topic that has increasingly attracted attention of both organizational practitioners and academics. This is due to the fundamental role emotions play in shaping human resources behaviors, performance, productivity, interpersonal relationships and engagement at work. In the current research, a computational social simulation approach is adopted to replicate and study the emotional experiences of employees in organizations. More specifically, an emotional agent-based model of an employee at work is proposed. The developed model is used in a computer simulator WEMOS (Workers EMotions in Organizations Simulator) to conduct certain analyzes in relation to the most likely emotions-evoking stimuli as well as the emotional content of several work-related stimuli. Simulation results can be employed to gain deeper understanding about emotions in the work life.

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Vorheriges Kapitel An Agent-Based Framework for Complex Networks
Nächstes Kapitel Towards an Adaption and Personalisation Solution Based on Multi Agent System Applied on Serious Games
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Metadaten
Titel
Studying Emotions at Work Using Agent-Based Modeling and Simulation
verfasst von
Hanen Lejmi-Riahi
Mouna Belhaj
Lamjed Ben Said
Copyright-Jahr
2019
Buch
Artificial Intelligence Applications and Innovations

Print ISBN: 978-3-030-19822-0

Electronic ISBN: 978-3-030-19823-7

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-19823-7_48