Your browser doesn't support javascript.
loading
Eliciting positive emotion through strategic responses to COVID-19 crisis: Evidence from the tourism sector.
Li, Shuyang; Wang, Yichuan; Filieri, Raffaele; Zhu, Yuzhen.
Afiliação
  • Li S; Sheffield University Management School, The University of Sheffield, Conduit Road, Sheffield, S10 1FL, UK.
  • Wang Y; Sheffield University Management School, The University of Sheffield, Conduit Road, Sheffield, S10 1FL, UK.
  • Filieri R; Audencia Business School Marketing Department 8 Route de La Jonelière, 44312, Nantes, France.
  • Zhu Y; Information School, the University of Sheffield, Regent Court, 211 Portobello, Sheffield City Centre, Sheffield, S1 4DP, UK.
Tour Manag ; 90: 104485, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35002005
While social media are effective means of communicating with adverse customer emotions during a crisis, it remains unclear how tourism organisations can respond to pandemic crisis on social media to prevent negative aftermaths. Using a set-theoretical approach, we investigate how COVID-19 response strategies and linguistic cues of responses are intertwined to evoke positive emotions among consumers. This study entails a qualitative content analysis of tourism organisations' COVID-19 announcements and a social media analytics approach that captures consumers' emotional reactions to these announcements via their Twitter replies. Our results extend some well-established findings in the tourism crisis literature by suggesting that combining innovative response strategy, argument quality, and assertive language can reinforce positive emotions during the COVID-19 crisis. Taking organisational characteristics into consideration, we suggest that young established hotels utilise innovative response strategies, whereas retrenchment response strategies for all types of restaurants should be avoided during the COVID-19 crisis.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article