The impact of Airbnb on the economic performance of independent hotels
An empirical investigation of the moderating effects
Bibliographic Data
| ID | 21699874 |
|---|---|
| Authors | Alessandro Destefanis (0000-0002-9833-752X, SmartData@PoliTO Center on Big Data and Data Science, Politecnico di Torino, Torino, Italy, corresponding author), Paolo Neirotti (0000-0003-2669-7072, SmartData@PoliTO Center on Big Data and Data Science, Politecnico di Torino, Torino, Italy), Emilio Paolucci (0000-0003-1249-8179, EIC - Entrepreneurship and Innovation Center, Politecnico di Torino, Torino, Italy), Elisabetta Raguseo (0000-0003-0305-5739, FULL - Future Urban Legacy Lab Center, Politecnico di Torino, Torino, Italy) |
| Year | 2022 |
| Volume | 25 |
| Issue | 21 |
| Pages | 3534-3564 |
| Publication date | 2022-11-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2020.1846501 |
| OpenAlex | W3106807770 |
| Language | EN |
| Citations received | 5 |
| References cited | 64 |
The 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
Accommodation · Attractiveness · Business · Econometrics · Economics · Geography · Hospitality industry · Industrial organization · Panel data · Profitability index · Reputation · Tourism · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Sharing Economy and Platforms · Marketing
The Role of Dynamic Capabilities in Responding to Digital Disruption
Impacts of Peer-to-Peer Accommodation Use on Travel Patterns
The Antecedents and Consequences of Customer Satisfaction for Firms
Understanding dynamic capabilities
The accommodation experiencescape
The Foundations of Enterprise Performance
Assessing Airbnb as a disruptive innovation relative to hotels
Explicating dynamic capabilities
Specification Tests in Econometrics
Handbook of Organizations (RLE
Overtourism, place alienation and the right to the city
Shaken, not stirred
Possible Worlds
Being better vs. being different
An importance-performance analysis of hotel selection factors in the Hong Kong hotel industry
Accommodating the sharing revolution
The “vicious circle” of tourism development in heritage cities
The evolution of trust in Airbnb
Towards a Theory of Intraurban Hotel Location
The Geography of Hotels in Cities
Airbnb
Electronic word-of-mouth in hospitality and tourism management
| Unique citing works | 5 |
|---|---|
| Citations per year | 1.25 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |