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This chapter analyzes the pricing policy of hybrid P2P lodgings versus traditional hotels in relation to seasonality. A quantitative comparative analysis of room prices in Airbnb and hotel lodgings in the city of Barcelona was conducted across four different pairs or dates (peak versus low season) in one year. Overall, the study shows that Airbnb prices are significantly lower than those of hotels and that the former’s prices fluctuate very little, whereas hotels use yield or revenue management techniques to adjust prices in high and low seasons. This implies that relevant purchase behavioral changes may occur in terms of customers waiting until the last minute to book.

The “sharing economy” has blurred the lines between personal and commercial operations for many sectors of the economy. A convergence has occurred between hotel companies and home sharing platforms, as Airbnb is investing in brick-and-mortar hotels, and conversely hotel companies are investing in home sharing platforms as each of the sectors tends to mimic the other. Important aspects for the hosts of Airbnb are the quality of social interaction between guest and host and the level of authenticity of social exchanges provided by interactions with locals. There is both a quantitative and qualitative demonstration of professionalization within Airbnb's organization. The aim of this research is twofold: to measure to what extent guests are aware of the professional level of the host and to evaluate the importance of these professional aspects at the different moment of the vacation process (booking, stay, and post experience).

In contemporary cities, private actors, such as luxury fashion houses, increasingly participate in projects, affirming themselves as relevant players in urban transformation. Based on the case of “SouPra” district (Milan, Italy), this chapter focuses on the effects of the opening of a fashionable artistic venue on the tourism development. It explores the promotional actions implemented by tourism entrepreneurs after the opening of the Prada Foundation. The analysis leads to two main results: actors in tourism exploit the urban brand conveyed by Prada, which becomes an integral part of the city branding. Fashion houses also act as marketing devices, producing new urban narratives that influence both the tourist and the real estate market.

The emergence of the platform economy is reorganizing work, employment, and value creation. The authors argue that the digital platforms are fracturing work itself as the places and types of work are being reorganized into a myriad of platform organized work arrangements with workplaces being potentially anywhere with Internet connectivity. The authors differ from most traditional narratives that focus solely upon either work displacement, a single type of platform-organized value-creating activity, or David Weil’s concentration solely upon the workplace. The authors recognize that even as some work is replaced, other work is being transformed; new work and old work in new arrangements is being created and recreated. The taxonomy begins with the workers employed directly by the platform and its contractors. The authors then introduce the category, platform-mediated work, which we divide into three groups: marketplaces such as Amazon; in-person service provision such as Uber and Airbnb; and remote service provision such as Upwork. The next category, “platform-mediated content creation,” is complex. The authors identify three groups of activities: consignment content creators that include services such as the app stores, YouTube, and Amazon Self-Publishing; non-platform organization content producers, which refers to the enormous number of workers occupied with creating and maintaining websites; and user-generated content which is the non-compensated value creation that ranges from content uploaded to Facebook, Instagram, etc. to reviews on sites such as Yelp. It is only when work and value creation is considered in all of these platform-based manifestations that we can understand the ultimate dimensions of the platform economy and comprehensively understand its implications for work.

This study explores the short- and medium-term effects generated by the Milan Expo 2015, adopting a microeconomic approach. The focus is on the hospitality sector. The study embraces nine years, identifying three intervals: pre- (2011–2014), during- (2015) and post-Expo (2016–2019). The time span does not include the Covid-19 pandemic period, which started in 2020. The dataset is composed of daily data. Three research questions are explored. First, an overall evaluation of the short- and medium-term effects is performed. Second, the seasonal effects are measured. Finally, the impacts for different classes of hotels are considered. The findings are supportive for the legacy generated by the Milan Expo. The results confirm the ability of the Milan Expo to strengthen the leisure segment. Positive results have been observed for all classes of hotels, relevantly augmenting the real revenue per available room (RevPAR). Luxury hotels achieved the highest increase of RevPAR, while economy class hotels registered the highest percentage of increase of RevPAR.

This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.