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Authors: Malika Grim-Yefsah 1 ; 2 ; Badamassi Jadi 2 ; Petiet Thibault 2 and Vignais Arthur 2

Affiliations: 1 IGN, 73 avenue de Paris, 94165Saint Mandé, France ; 2 Université Gustave Eiffel - ENSG, 6-8 avenue Blaise Pascal, 77420 Champs sur Marne, France

Keyword(s): Conceptual Model, Capitalization, Knowledge, Legacy, Mega Sport Event, Sport Event, Olympic Games.

Abstract: This article presents a conceptual model of sport events legacy based on the Olympic and Paralympic Games as a reference. The legacy of mega sport events has gained ever more importance during recent years for both academics and practitioners. The International Olympic Committee looked at the concept of legacy, as it is the best argument with which to illustrate the lasting benefits that are derived from the Olympic Games. The Legacy is the way to structure the capitalization of the benefits and lessons related to the organization of major sporting events. So, our motivation is to develop a tool of the sport events legacy. The aims of the article are first, to investigate the legacy sport events literature, second, to propose a Legacy Conceptual Model (LCM) and to transpose it to a database which will be support to analyse the changes related to legacy. This research target also has a practical implication. So, we investigate how the LCM helps to analyze the legacy left by a sport ev ent using a case study. (More)

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Paper citation in several formats:
Grim-Yefsah, M.; Jadi, B.; Thibault, P. and Arthur, V. (2020). Modeling Sport Events Legacy based on Olympic Games. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 219-225. DOI: 10.5220/0010144602190225

@conference{kmis20,
author={Malika Grim{-}Yefsah. and Badamassi Jadi. and Petiet Thibault. and Vignais Arthur.},
title={Modeling Sport Events Legacy based on Olympic Games},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS},
year={2020},
pages={219-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010144602190225},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS
TI - Modeling Sport Events Legacy based on Olympic Games
SN - 978-989-758-474-9
IS - 2184-3228
AU - Grim-Yefsah, M.
AU - Jadi, B.
AU - Thibault, P.
AU - Arthur, V.
PY - 2020
SP - 219
EP - 225
DO - 10.5220/0010144602190225
PB - SciTePress