Browsing by Author "Viglia, Giampaolo"

Now showing 1 - 6 of 6
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    Competitors or Complements: A Meta-analysis of the Effect of Airbnb on Hotel Performance
    Yang, 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.
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    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.
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    Dynamic pricing strategies: Evidence from European hotels
    Abrate, 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.
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    If you want to learn about real behaviour, measure real behaviour
    Viglia, Giampaolo; Dolnicar, Sara; Acuti, Diletta; Nicolau, Juan Luis (Routledge, 2024-08-19)
    We argue that research aiming to understand or change human behavior must measure real behavior, not just behavioral intentions, to draw valid conclusions. The work highlights the well-established gap between people’s intentions and behavior across various tourism and hospitality contexts. Methodologically, we encourage authors not to rely on behavioral intentions and instead measure real behavior. We provide an overview of methods available to capture real behavior either automatically or manually in tourism contexts. The article also introduces a special issue in the Journal of Sustainable Tourism that showcases the measurement of real environmentally significant tourist behavior using diverse methods, such as biometric techniques, big data analytics, field observations, and experiments. We conclude by discussing five issues that prevent studies form drawing causal conclusions about behavior, namely, (i) reliance on behavioral intentions; (ii) a sample that does not reflect the population of interest; (iii) errors in measuring latent psychological constructs; (iv) consumer hypocrisy and social desirability bias; and (v) situational factors and habits. By advocating for a transition towards measuring real behavior, the article and the special issue aim to increase the validity and impact of research seeking to understand human behavior and drive effective behavior change for addressing global challenges.
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    The impact of dynamic price variability on revenue maximization
    Abrate, Graziano; Nicolau, Juan Luis; Viglia, Giampaolo (Elsevier, 2019-10-01)
    The objective of this article is to analyze the effect of dynamic price variability on revenue maximization. While dynamic pricing is a common practice in tourism, this is the first comprehensive study on the relationship between price variability and revenue maximization. Within the framework provided by the literature on intertemporal price discrimination, price fairness, inventory controls and organizational culture, this research proposes and applies a new hedonic revenue model on a sample of 21,687 observations. The findings suggest that higher dynamic price variability leads to higher hotel revenues. Strategic room unavailability and review rating also exert a clear positive revenue impact. Overall, the benefits from charging different prices for the same service (intertemporal price discrimination) and limiting the number of units available before the demand is known (inventory control) outweigh the potential negative effects of price unfairness and organizational culture. The paper concludes by providing actionable levers for hospitality managers.
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    Strategic and tactical price decisions in hotel revenue management
    Abrate, 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.