Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/130219
Título: How relationship norms affects consumers’ responses in sharing economy
Autor: Shuqair, Saleh
Orientador: Pinto, Diego Costa
Palavras-chave: Authenticity
Empathy
Relationship norms
Loyalty
Sharing economy
Service recovery
Social ties
SDG 8 - Decent work and economic growth
Data de Defesa: 29-Set-2021
Resumo: This research reveals a novel perspective on sharing economy peer providers, relationship norms, and customer loyalty. In a series of 16 experimental studies, this thesis demonstrates that customers-provider relationships based on communal (vs. exchange) norms improve customers’ outcomes towards service providers. Chapter 1 explores service failure in sharing economy, suggesting that consumers' emotional and behavioral responses depend on the accommodation provider type: communal (e.g., Airbnb hosts, personal providers) versus exchange (e.g., hotels, commercial hosts). It further shows the key underlying mechanisms that mediate the effects (authenticity and social interactions). Chapter 2 draws on relationship norms to suggest that relationship type—whether communal ("Airbnb host") or exchange ("hotel")—influences consumer forgiveness in a post-recovery context, and this effect is driven via two key processes (1) social recovery (2) communal norms. Chapter 3 and 4 further refine this theory to suggest that perceived warmth and social ties moderate such effects. In particular, the findings indicate that establishing social ties with consumers is beneficial for communal providers, revealing that the impact of social ties depends on relationship norms (communal vs. exchange). It further demonstrates that the strength of social ties has a substantial impact on consumers' loyalty for communal providers but are not expected in exchange relationships.
Descrição: A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Survey Methodologies and Marketing Research
URI: http://hdl.handle.net/10362/130219
Designação: Doutoramento em Gestão da Informação, especialização em Sondagens e Estudos de Mercado
Aparece nas colecções:NIMS - Teses de Doutoramento (Doctoral Theses)

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