Scholarlink

<p>While dynamic pricing is central to hotel revenue management, empirical evidence of its actual use remains scarce. We analyze 52.7&#xa0;million daily prices from 119,641 European properties using k-means clustering and OLS regression. Static pricing dominates (81.1%). About 15% of properties show high-complexity price variation and 3.8% high volatility; systematic, airline-style lead-time yield curves are rare, and most observed variation reflects calendar and seasonal pricing rather than genuine lead-time dynamic pricing. We find that price-variation intensity is associated with higher star ratings and specific geographic markets, whereas extensive customer reviews are associated with lower pooled price dispersion.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The prevalence of dynamic pricing in the European hotel industry: an empirical analysis and strategic segmentation

  • 期刊论文

  • 发表日期：

    2026年7月11日

查看全文
  • Stefan Mathes,
  • Ginesa Martínez-del Vas,
  • Miguel Puig-Cabrera,
  • Matthias Gehrke

摘要

While dynamic pricing is central to hotel revenue management, empirical evidence of its actual use remains scarce. We analyze 52.7 million daily prices from 119,641 European properties using k-means clustering and OLS regression. Static pricing dominates (81.1%). About 15% of properties show high-complexity price variation and 3.8% high volatility; systematic, airline-style lead-time yield curves are rare, and most observed variation reflects calendar and seasonal pricing rather than genuine lead-time dynamic pricing. We find that price-variation intensity is associated with higher star ratings and specific geographic markets, whereas extensive customer reviews are associated with lower pooled price dispersion.