Artikel

Can service firms overdo service recovery? An assessment of non-linearity in service recovery satisfaction

Owing to the human nature of service delivery service failures occasionally occur. Persistently poor service delivery will, however, have a harmful impact on the survival and growth prospects of service firms. Service failure thus calls for remedial action, better known as service recovery. A variety of remedies have been proposed over the years. These remedies or tactics include fixing the problem, apologising, compensation (financial compensation or other forms of redress), a timely response and offering an explanation. A general theme in the service recovery literature is that ‘more is better'. The validity of this contention has, however, not been adequately considered. In other words, in a service recovery context, is more always better? Can service recovery be over-done (known as ‘over-benefitting')? If so, what are the consequences? Based on the results of two field-type experimental studies involving a sample of 12 800 respondents the conclusion is that over-benefitting can be counter-productive. Over-benefitting consistently produced satisfaction scores lower than service recovery that was more moderate in nature.

Sprache
Englisch

Erschienen in
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 43 ; Year: 2012 ; Issue: 3 ; Pages: 1-12 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Boshoff, C.
Ereignis
Veröffentlichung
(wer)
African Online Scientific Information Systems (AOSIS)
(wo)
Cape Town
(wann)
2012

DOI
doi:10.4102/sajbm.v43i3.470
Handle
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

  • Boshoff, C.
  • African Online Scientific Information Systems (AOSIS)

Entstanden

  • 2012

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