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on Tourism Economics |
| By: | Cynthia (Huiying) Hou; Donglin Han; Wu Hao; Joseph Lai |
| Abstract: | Whereas the use of specific smart technologies in various sectors of the tourism industry has been under greater scrutiny in recent years, research that investigates tourists’ acceptance of smart technologies applied as a whole to hotels is underexplored. To address this shortfall, a study with a focus on tourists’ acceptance of experience-enhancement smart technologies has been conducted. A technology acceptance model based conceptual framework was developed, followed by a series of interviews with the managerial staff of ten hotels in Hong Kong that adopt experi-ence-enhancement smart technologies. Based on the interview findings, a questionnaire was de-signed for use in a survey in which data were collected face-to-face from 312 tourists. Structural equation modelling was utilised to reveal the interrelationships between nine technology ac-ceptance parameters. This study contributes knowledge to both real-world practice and research in tourism management. |
| Keywords: | Experience-enhancement smart technology; Hotel; Structural equation modelling; technology acceptance model |
| JEL: | R3 |
| Date: | 2021–01–01 |
| URL: | http://d.repec.org/n?u=RePEc:arz:wpaper:eres2021_213&r= |
| By: | Gyódi, Kristóf |
| Abstract: | Purpose: The purpose of this paper is to examine the impact of the COVID-19 pandemic on the traditional hotel industry and Airbnb in nine major European cities. The author examines differences between the two business models and analyses various strategies of Airbnb hosts to cope with the crisis. Design/methodology/approach: A detailed empirical analysis is presented based on data from STR and Inside Airbnb for the period January 2018–September 2020. To assess the impact of the pandemic on the hotel industry, year-to-year changes in various performance metrics are presented. The author also investigates the impact of the pandemic on Airbnb prices with panel data regression analysis. Using text-mining methods, signs for new use-cases are explored, including renting flats for home-office or quarantine. Findings: The results support that Airbnb supply is more flexible. While hotel supply quickly returned to a level close to 2019, the average number of Airbnb listings was lower by more than 15%. Furthermore, the price analysis showed that Airbnb rates decreased more moderately than hotel prices. These findings suggest that a significant share of hosts pivoted from short-term accommodation provision and used their property differently, e.g. rented on a long-term basis. The analysis of listing characteristics revealed that the role of longer stays increased; however, the results do not support a shift towards advertising listings for home-office or quarantine purposes. Originality/value: This paper presents the impact of the pandemic on the hospitality sector in a wide sample of European cities, explores the adjustment of hotels and Airbnb and provides new evidence on the differences between the business models. |
| Keywords: | Tourism, Airbnb, Text-mining, COVID |
| JEL: | L8 |
| Date: | 2021–08–12 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:109333&r= |
| By: | OECD |
| Abstract: | The G20 Rome guidelines for the future of tourism identifies key issues and opportunities to rethink and reshape tourism policy in response to the impacts of the COVID-19 pandemic. It presents guidelines for action that are informed by the need to a) restore confidence and enable recovery, b) learn from the experience of the pandemic, and c) prioritise a sustainable development agenda in guiding future tourism. They are based around seven interrelated policy areas: i) safe mobility, ii) crisis management; iii) resilience; iv) inclusiveness; v) green transformation; vi) digital transition; and vii) investment and infrastructure. The G20 Rome guidelines were endorsed in the Rome Communiqué of the 2021 G20 Tourism Ministers’ meeting. |
| Keywords: | COVID19, crisis management, digital transition, green transformation, inclusiveness, infrastructure, investment, pandemic, resilience, sustainable tourism, tourism, travel mobility |
| JEL: | Z38 L83 |
| Date: | 2021–09–07 |
| URL: | http://d.repec.org/n?u=RePEc:oec:cfeaab:2021/03-en&r= |