Understanding and predicting compliance with safety regulations at an airline ground service organization

Alexei Sharpanskykh; Rob Haest

doi:10.1007/978-3-319-47253-9_35

Understanding and predicting compliance with safety regulations at an airline ground service organization

^*Corresponding author for this work

Air Transport & Operations

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

Failures to comply with safety regulations are currently a major issue at many airline ground service organizations across the world. To address this issue, approaches based on an external regulation of the employees’ behavior have been 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. To understand the role of motivation for compliance in ground service organizations, a formal agent-based model is proposed in this chapter based on theories from Social Science. The model incorporates cognitive, social, and organizational aspects. 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 related to compliance of the platform employees in this study.

Original language	English
Title of host publication	Advances in Social Simulation 2015
Editors	W. Jager, R. Verbrugge, A. Flache, G. de Roo, L. Hoogduin, C. Hemelrijk
Publisher	Springer
Pages	379-392
Number of pages	14
Volume	528
ISBN (Electronic)	978-3-319-47253-9
ISBN (Print)	9783319472522
DOIs	https://doi.org/10.1007/978-3-319-47253-9_35
Publication status	Published - 2017
Event	11th Conference of the European Social Simulation Association - s.l., Groningen, Netherlands Duration: 14 Sept 2015 → 18 Sept 2015 Conference number: 11

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	528
ISSN (Print)	21945357

Conference

Conference	11th Conference of the European Social Simulation Association
Abbreviated title	ESSA 2015
Country/Territory	Netherlands
City	Groningen
Period	14/09/15 → 18/09/15

Keywords

Agent-based model
Cognitive models
Compliance
Motivation
Social contagion

Access to Document

10.1007/978-3-319-47253-9_35

Cite this

Sharpanskykh, A., & Haest, R. (2017). Understanding and predicting compliance with safety regulations at an airline ground service organization. In W. Jager, R. Verbrugge, A. Flache, G. de Roo, L. Hoogduin, & C. Hemelrijk (Eds.), Advances in Social Simulation 2015 (Vol. 528, pp. 379-392). (Advances in Intelligent Systems and Computing; Vol. 528). Springer. https://doi.org/10.1007/978-3-319-47253-9_35

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Sharpanskykh, A & Haest, R 2017, Understanding and predicting compliance with safety regulations at an airline ground service organization. in W Jager, R Verbrugge, A Flache, G de Roo, L Hoogduin & C Hemelrijk (eds), Advances in Social Simulation 2015. vol. 528, Advances in Intelligent Systems and Computing, vol. 528, Springer, pp. 379-392, 11th Conference of the European Social Simulation Association, Groningen, Netherlands, 14/09/15. https://doi.org/10.1007/978-3-319-47253-9_35

Understanding and predicting compliance with safety regulations at an airline ground service organization. / Sharpanskykh, Alexei; Haest, Rob.
Advances in Social Simulation 2015. ed. / W. Jager; R. Verbrugge; A. Flache; G. de Roo; L. Hoogduin; C. Hemelrijk. Vol. 528 Springer, 2017. p. 379-392 (Advances in Intelligent Systems and Computing; Vol. 528).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Understanding and predicting compliance with safety regulations at an airline ground service organization

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Keywords

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