Don’t Downsize This! Social Reactions to Mass Dismissals on Twitter
1
OCDE -
Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development
2 Université Paris Dauphine-PSL
3 LEDa - Laboratoire d'Economie de Dauphine
4 DRM - Dauphine Recherches en Management
5 UPCité - Université Paris Cité
6 LADYSS - Laboratoire Dynamiques Sociales et Recomposition des Espaces
2 Université Paris Dauphine-PSL
3 LEDa - Laboratoire d'Economie de Dauphine
4 DRM - Dauphine Recherches en Management
5 UPCité - Université Paris Cité
6 LADYSS - Laboratoire Dynamiques Sociales et Recomposition des Espaces
Andrea Bassanini
- Fonction : Auteur
- PersonId : 991183
Eve Caroli
- Fonction : Auteur
- PersonId : 991183
Antoine Reberioux
- Fonction : Auteur
- PersonId : 176659
- IdHAL : antoine-reberioux
- ORCID : 0000-0003-1246-0605
- IdRef : 074763466
Résumé
"We study the reactions to job destructions on Twitter. We use information on large-scale job-destruction and job-creation events announced in the United Kingdom over the period 2013-2018. We match it with data collected on Twitter regarding the number and sentiments of the tweets posted around the time of the announcement and involving the company name. We show that job-destruction announcements immediately elicit numerous and strongly negative reactions. On the day of the announcement, the number of tweets and first-level replies sharply increases as does the negativity of the sentiments of the posted tweets. These reactions are systematically more important than reactions to job creations. We also show that they trigger significant losses in the market value of the downsizing firms. Our findings suggest that job destructions generate reputational costs for firms to the extent that they induce a strong negative buzz involving the company name."
Domaines
Economies et financesFormat du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Don’t Downsize This! Social Reactions to Mass Dismissals on Twitter
|
Résumé |
en
"We study the reactions to job destructions on Twitter. We use information on large-scale job-destruction and job-creation events announced in the United Kingdom over the period 2013-2018. We match it with data collected on Twitter regarding the number and sentiments of the tweets posted around the time of the announcement and involving the company name. We show that job-destruction announcements immediately elicit numerous and strongly negative reactions. On the day of the announcement, the number of tweets and first-level replies sharply increases as does the negativity of the sentiments of the posted tweets. These reactions are systematically more important than reactions to job creations. We also show that they trigger significant losses in the market value of the downsizing firms. Our findings suggest that job destructions generate reputational costs for firms to the extent that they induce a strong negative buzz involving the company name."
|
Auteur(s) |
Andrea Bassanini
1
, Eve Caroli
2, 3
, Bruno Chaves Ferreira
2, 4
, Antoine Reberioux
5, 6
1
OCDE -
Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development
( 310903 )
- Organisation for Economic Co-operation and Development (OECD)
2, rue André Pascal 75775 Paris Cedex 16
- France
2
Université Paris Dauphine-PSL
( 300302 )
- Place du Maréchal de Lattre de Tassigny
75775 PARIS Cedex 16
- France
3
LEDa -
Laboratoire d'Economie de Dauphine
( 559342 )
- Place du Maréchal de Lattre de Tassigny - 75775 PARIS Cedex 16
- France
4
DRM -
Dauphine Recherches en Management
( 1032 )
- Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
- France
5
UPCité -
Université Paris Cité
( 557826 )
- 85 boulevard Saint-Germain
75006 Paris
- France
6
LADYSS -
Laboratoire Dynamiques Sociales et Recomposition des Espaces
( 1004856 )
- Université Paris Ouest Nanterre La Défense Bâtiment T 200 avenue de la République 92001 Nanterre cedex
- France
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2020-11
|
Numéro |
13840
|
Page/Identifiant |
2-44
|
Domaine(s) |
|
Mots-clés (JEL) |
|
Mots-clés |
en
job destructions, job creations, adjustment costs, social media, Sentiment analysis, Cumulative abnormal returns
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