Browsing by Author "Viglia, Giampaolo"
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- Competitors or Complements: A Meta-analysis of the Effect of Airbnb on Hotel PerformanceYang, Yang; Garcia, Marta Nieto; Viglia, Giampaolo; Nicolau, Juan Luis (2021-10-17)The rise of peer-to-peer accommodation has challenged the traditional hotel business model. A lingering question is the effect of Airbnb supply on hotel performance. By analyzing 466 estimates from 33 different studies, our results reveal that the negative effect of Airbnb supply on hotel performance is moderate. The meta-regression of effect size recognizes the significant effects of different factors on the strength of the negative effect. In particular, the negative effect is smaller for high-end (vs. low-end) hotels, and its magnitude is shrinking over time. Additionally, the detrimental effect is less pronounced for European (vs. Asian) hotels. The study also reports that negative effects are more common in research published in academic journals. The synthesis of the effects across existing studies contributes to a robust and comprehensive understanding of the impact of Airbnb supply on hotel performance.
- The dimensions of hotel customer ratings that boost RevPAR [Summary]Nieto-García, Marta; Resce, Giuliano; Ishizaka, Alessio; Occhiocupo, Nicoletta; Viglia, Giampaolo (Virginia Tech, 2018-09)Online ratings provide valuable information to operators. However, the use of this information for revenue maximization purposes remains at a moot point. This article proposes a new method to decompose ratings based on their relevance to hotel performance. From a methodological standpoint, we propose a multi-criteria decision analysis approach. The empirical validation includes two independent data sources, online ratings from Booking.com and RevPAR data from STR.
- Dynamic pricing strategies: Evidence from European hotelsAbrate, Graziano; Fraquelli, Giovanni; Viglia, Giampaolo (International Journal of Hospitality Management, 2012)How much do hoteliers actually make use of dynamic pricing strategies? We collected data on the price of a single room booked in advance (from three months to a single day), from almost 1000 hotels in eight European capital cities. Pricing strategies were analyzed by means of descriptive statistics, box plots and econometric panel data techniques. The empirical results show that the inter-temporal pricing structure primarily depends on the type of customer, the star rating and the number of suppliers with available rooms.
- Strategic and tactical price decisions in hotel revenue managementAbrate, Graziano; Viglia, Giampaolo (Tourism Management, 2016)Dynamic pricing techniques allow using a number of variables in a tactical way compared to standard catalogue prices. This study merges in a conceptual model the relevance of the tactical and the strategic dimension of these variables, classified according to their tangible, reputational or contextual nature. To empirically validate the hypotheses, a database of 21.596 price observations was retrieved from booking.com. The study presents a hedonic price function, using the Shapley-Owen decomposition of the Rsquared to elicit the importance of each group of factors. Further, a hierarchical cluster analysis measures the presence of heterogeneity across operators. The results show that online reputation is gaining importance over the traditional star rating. Despite the tangible variables remain of paramount importance, the findings suggest the relevant role of contextual variables in short-run price variations. The players operating in the tourism and hospitality industries should integrate these findings when designing pricing strategies.