Artikel

The effect of attributions and failure severity on consumer complain behaviors in sharing economy

Sharing economy has become a prominent business model that has been discussed in many previous studies, yet its consumer complaint behavior has not been sufficiently explored. Consumers' tolerance and overly positive review toward Partners have dominated studies in post-failure evaluation and behavior. This study was conducted to examine the effects of failure attributions, i.e. locus of causality and controllability, and severity of failure on consumers' direct and indirect complaint behavior, i.e. rating and negative word of mouth. Data were collected through a laboratory experiment with 280 participants in Indonesia. Findings revealed that at all levels of controllability and severity of failure, consumers' intentions to give low rates were higher when failures were attributed to Platforms, while there were no differences related to intentions to engage in negative word of mouth. Results also showed the interaction of attribution of controllability and severity of failure toward consumers' intention to give Partners low rates. These results contributed to research related to consumer complaint behavior in sharing economy, particularly negative word of mouth that still needed to be discussed adequately.

Sprache
Englisch

Erschienen in
Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 10 ; Year: 2023 ; Issue: 3 ; Pages: 1-19

Klassifikation
Management
Thema
attribution
complaint behavior
digital platforms
negative word of mouth
severity of failure
sharing economy

Ereignis
Geistige Schöpfung
(wer)
Sofia, Regina Deka
Afiff, Adi Zakaria
Aruan, Daniel Tumpal Hamonangan
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
Abingdon
(wann)
2023

DOI
doi:10.1080/23311975.2023.2275848
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Sofia, Regina Deka
  • Afiff, Adi Zakaria
  • Aruan, Daniel Tumpal Hamonangan
  • Taylor & Francis

Entstanden

  • 2023

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