An agent-based model to study effects of team processes on compliance with safety regulations at an airline ground service organization

An agent-based model to study effects of team processes on compliance with safety regulations at an airline ground service organization

Sharpanskykh, A.
Haest, R.

Aerospace Engineering

Control & Operations

2015-11-28

Maintaining high levels of safety under conditions of ever increasing air traffic is a challenging task. Failures to comply with safety-related regulations are often considered to be important contributors to safety occurrences. To address the issue of compliance, approaches based on external regulation of the employees’ behavior were proposed. Unfortunately, an externally imposed control is often not internalized by employees and has a short-term effect on their performance. To achieve a long-term effect, employees need to be internally motivated to adhere to regulations. Theories from social sciences propose that team processes play an important role in the dynamics of individual motivation. In this paper an agent-based model is proposed, by which the impact of social interaction and coordination in teams of platform employees on their individual motivation and compliance with safety regulations at an airline ground service organization are explored. The model was simulated and partially validated by a case study performed at a real airline ground service organization. The model was able to reproduce behavioral patterns of compliance of the platform employees in this study.

compliance
agent-based model
motivation
cognitive models
social contagion

http://resolver.tudelft.nl/uuid:852e4a0f-512c-48fd-8cc7-ba69a5bece96

Springer

978-3-319-25523-1

PRIMA 2015: Principles and Practice of Multi-Agent Systems - Proceedings of the 18th International Conference, Bertinoro, Italy, October 26-30, 2015. Lecture Notes in Computer Science 9387; Authors version

https://doi.org/10.1007/978-3-319-25524-8_31

Institutional Repository

conference paper

(c) 2015 Springer