This study aims to investigate the intellectual structure of P2P accommodation platforms through a co-citation analysis by using a social network approach. To this end, this paper analyzed 79 articles retrieved from the Scopus database. The findings show that there is a clear connection between the intellectual structures of P2P platforms and tourism journals. The cluster analysis identifies four groups, representing the intellectual structure of the P2P platforms. We discuss three relevant topics related to the theoretical pillars: the different levels of analysis, the diverse disciplines involved, and the increasing centrality gain by hospitality and tourism (H&T) studies. For each point, a future research agenda is proposed.

This article explores the spending literature in the field of hospitality and tourism management to achieve a better understanding of the evolution of this stream. The paper uses a bibliometric approach and is based on 124 papers published in seven leading hospitality and tourism journals from 1990 to 2011. The findings have revealed that the weight of spending literature appeared less than expected. The amount of spending research was primarily published in tourism journals, and in particular in the Journal of Tourism Research, followed by Annals of Tourism Research. In contrast, hospitality journals contributed marginally to the debate. Two fields of analysis emerge as primary research areas: determinants of tourist expenditures and measurement of economic impacts. The former stream contains a large number of research studies. The sample is primarily composed of empirical papers, while theoretical work remains at a consistently low level. Empirical evidences are primarily related to North America.

This paper analyses demand fluctuations in the field of urban destinations, decomposing Milan’s hotel seasonality. Four different seasonal periods are identified and two research questions are explored. The first aims to verify how seasonality evolved over the period 2004–2015 and the effectiveness of analysing tourism flow in an urban destination using daily data. The second aim explores the effects generated by the Milan Expo 2015 on seasonality. Using Smith Travel Research data, a longitudinal analysis (2004–2015) is carried out, decomposing the annual Theil index. Evidence is reported and discussed.