1,720,961 research outputs found
Technology-enabled business models and the consequences on tourism industry: current impacts on incumbents and communities and future impacts from AI technology adoption
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
Airbnb Adoption Process from Home-Owners’ Perspective in Italian Market
No full textInternational Conference on Domestic Tourism and Rural Development aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Domestic Tourism and Rural Development. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Domestic Tourism and Rural Development
The impact of Airbnb on the economic performance of independent hotels: an empirical investigation of the moderating effects
Full text linkThe evidence on the effect that sharing economy accommodation platforms have on the performance of hotels is not univocal, and a general picture about the circumstances under which hotels may suffer the least from this disruption is still missing. This paper contributes to bridge this gap by examining the role that contingent factors can play in reducing the negative impact of Airbnb on the profitability growth of independent hotels. We examine whether the attractiveness of the city zone where hotels are located and their online reputation moderate the effect that the usage of Airbnb listings has on the profitability growth of independent hotels. Using a panel dataset of a sample of 725 independent hotels located in six Italian cities with high tourism attractiveness, and by triangulating ISTAT, AIDA, AirDNA, TripAdvisor and Trustyou datasets, we found that the negative effect of Airbnb on the profitability growth of hotels is reduced when the hotels are located in attractive city zones. However, the online reputation of hotels does not have any significant moderating effect on the relationship investigated. We discuss how these results contribute to understand competitive dynamics in the hotel industry through a lens based on the disruptive innovation theory
Estimating the impact of sharing economy accommodation platforms on rural tourism ecosystems: an empirical investigation in Italian “Borghi”
No full textTourism industry is witnessing a deep change due to the development of technology based innovative business models. One of the main changes happening right now in hospitality is the quick and relentless entrance in the sector of a new business model, based on the concept of platform between peers. More specifically, Airbnb and others platforms have described as disrupting the incumbents in this space, since they are often able to provide simpler accommodation solutions to a lower price. Many scholars have already studied the relationship between incumbents and new entrants in this fields, mainly focusing on the phenomena taking place in big urban centres, but due to the slower diffusion of sharing economy accommodation platforms in rural environment, few effort has been dedicated to observe, measure and describe what is happening in rural contexts. More precisely the literature in the field is analysing the phenomenon from a theoretical perspective, proposing frameworks, but a first empirical study is still missing. With this research we aim at filling this gap estimating in a quantitative manner the effect of sharing economy accommodation platforms diffusion on rural territories. Precisely we postulate that Airbnb is able to ease the process of accommodation creation, to enable the match between potential tourists and less popular destination and facilitate the networking among hosts and involvement of the community, resulting in a higher ability to attract travellers thanks to the effort of a number of micro-entrepreneurs. We took the list municipalities of the association “I borghi piú belli d’Italia” as research setting to run econometric model to measure the impact on the touristic arrivals. In order to be part of the association the town has respect criteria in terms of small size and presence of relevant touristic resources, and the public administration has to apply following a certain procedure, showing interest in being recognized as a valid touristic destination. The results show that the growth of Airbnb supply is positively and significantly correlated to the growth of arrivals in the destination. On top of that we also wonder whether the presence of an institutional website of the destination and the presence of an official tourism portal could influence the direct relationship between the growth of Airbnb and the growth of touristic arrivals. Evidence shows that the online visibility coming from official websites positively moderates the relationship between Airbnb supply and touristic arrival
Estimating the impacts of Airbnb on the hotel industry: direct effects on performance and the moderating role of hotel location
No full textArtificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups
No full textPurpose: The travel and tourism industry (TTI) could benefit the most from artificial intelligence (AI), which could reshape this industry. This study aims to explore the characteristics of tourism AI start-ups, the AI technological domains financed by Venture Capitalists (VCs), and the phases of the supply chain where the AI domains are in high demand. Design/methodology/approach: This study developed a database of the European AI start-ups operating in the TTI from the Crunchbase database (2005–2020). The authors used start-ups as the unit of analysis as they often foster radical change. The authors complemented quantitative and qualitative methods. Findings: AI start-ups have been mainly created by male Science, Technology, Engineering and Mathematics graduates between 2015 and 2017. The number of founders and previous study experience in non-start-up companies was positively related to securing a higher amount of funding. European AI start-ups are concentrated in the capital town of major tourism destinations (France, UK and Spain). The AI technological domains that received more funding from VCs were Learning, Communication and Services (i.e. big data, machine learning and natural language processing), indicating a strong interest in AI solutions enabling marketing automation, segmentation and customisation. Furthermore, VC-backed AI solutions focus on the pre-trip and post-trip. Originality/value: To the best of the authors’ knowledge, this is the first study focussing on digital entrepreneurship, specifically VC-backed AI start-ups operating in the TTI. The authors apply, for the first time, a mixed-method approach in the study of tourism entrepreneurship
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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