Artikel

What do we know about no‐show behavior? A systematic, interdisciplinary literature review

No‐show behavior, a distinct form of absenteeism, is often problematic, particularly in the service industry. Given the growing relevance of the phenomenon in the industry, an increasing number of researchers from such different disciplines as educational economics, healthcare management research, and sports economics have begun examining both the potential antecedents and measures to counteract no‐show behavior, recently. Although the continuously growing body of literature on no‐show behavior has been reviewed before, most such previous attempts were neither interdisciplinary nor systematic, sometimes lacking both completeness and thoroughness. In this article, we address this gap in the still‐emerging literature by providing a systematic, interdisciplinary review of the literature. We observe that, although the potential antecedents are manifold and not always neatly comparable across the different industries, there still exist commonalities, most of which are related to product characteristics and the opportunity costs arising from physical attendance. In contrast, although we document a promising effect of exploiting reminders in reducing no‐show behavior, our understanding of the effectiveness of potential countermeasures is less pronounced.

Sprache
Englisch

Erschienen in
Journal: Journal of Economic Surveys ; ISSN: 1467-6419 ; Volume: 38 ; Year: 2022 ; Issue: 1 ; Pages: 57-96 ; Hoboken, NJ: Wiley

Klassifikation
Wirtschaft
Thema
absenteeism
appointments
attendance
non‐attendance
no‐shows
scheduling

Ereignis
Geistige Schöpfung
(wer)
Amberger, Caroline
Schreyer, Dominik
Ereignis
Veröffentlichung
(wer)
Wiley
(wo)
Hoboken, NJ
(wann)
2022

DOI
doi:10.1111/joes.12534
Letzte Aktualisierung
10.03.2025, 11:46 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

  • Amberger, Caroline
  • Schreyer, Dominik
  • Wiley

Entstanden

  • 2022

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