İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2026 · article

Researching vulnerable populations in hospitality and tourism: a methodological review

ISSN0264-2069
YÖKSİS OpenAlex Üst %10
Yıl2026
Atıf1OpenAlex
Yüzdelik%97,5
FWCI11,991,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıThe Service Industries Journal
  • Katalog eşleşmesi (ISSN)Service Industries Journal
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Despite growing academic and industry interest in vulnerable populations, methodological development within hospitality and tourism (H&T) research has remained limited. This study addresses this gap by systematically reviewing the methodologies used in studies of vulnerable populations in the H&T context. Akin to the analysis of 150 articles published in SSCI-indexed journals, the review examines how vulnerability is conceptualized and investigated across economic, physical, cognitive, social, and cultural dimensions. The findings indicate a strong reliance on conventional data collection approaches, primarily structured surveys and standard interview techniques, often applied without sufficient adaptation to participants’ specific capacities or vulnerabilities. Although qualitative and participatory methods are discussed in the literature, their practical implementation remains inconsistent. Key gaps include the limited inclusion of cognitively vulnerable individuals’ perspectives and the scarcity of longitudinal research designs. The study underscores the ethical importance of inclusive methodological practices and highlights the need for more flexible and interdisciplinary approaches.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

1atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 1 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2026 AI-TRUST: A transparency protocol for Generative AI-assisted researchAtıf 0 · OpenAlex

Yazarlar

2
  1. HASAN EVRİM ARICI KASTAMONU ÜNİVERSİTESİ 1
  2. MEHMET BAHRİ SAYDAM 2