scholarly journals Assessing crucial variables for consumer choice in sharing economy accommodation sector. Airbnb in north east Italy

Author(s):  
Jan Van Der Borg ◽  
Nicola Camatti ◽  
Dario Bertocchi ◽  
Andrea Albarea
2020 ◽  
Vol 120 (9) ◽  
pp. 1759-1775
Author(s):  
Wanfei Wang ◽  
Chengcheng Su ◽  
Jin Hooi Chan ◽  
Xiaoguang Qi

PurposeFocusing on the supply side of peer-to-peer (P2P) accommodation service sector, this study identifies the emerging types of micro-enterprise operators in the growing Chinese market, and investigate their respective operational risks and coping strategies.Design/methodology/approachA qualitative study was adopted to explore the micro-enterprise in peer-to-peer accommodation in China. Twenty semi-structured interviews were conducted to explore the operators' behaviors in the service sector.FindingsBased on the types of property ownership and forms of interaction, four groups of operators were identified, i.e. hospitable sharers, remote sharers, roommates and butlers. This study uncovers their operational risk factors (safety, cost, legal and social, psychological) and respective coping strategies.Originality/valueMost prior studies on P2P accommodation sector are conducted from the demand side about customer behaviors. This study not only enhances the understanding of the hosts in the sharing economy by developing a novel typology of operators, but also provides insights into the operational behaviors on an individual operator perspective.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Irwan Setiawan

The development of sharing economy that happened exponentially has changed the accommodation sector in the tourism and hospitality industry. The varied customer experience, facilities, and range of prices offered has made this business model an alternative to traditional accommodation services and is a favorite among tourists. The rapid development of information technology facilitates many online platforms that provide property rental services with the concept of sharing economy. This makes the tourism and hospitality industry rich in data. This study aims to analyze data on property rental advertisements focusing on short vacation services with a case study of Airbnb data in Singapore. The results of the study are expected to be used by new players or old players in the business as one of the considerations of situation analysis for making decisions. The analysis was carried out to obtain patterns and relationships from data related to prices, room types, and property distribution in the form of diagrams and maps. This study uses a visual data analysis approach using the Python programming language.


2017 ◽  
pp. 25-35 ◽  
Author(s):  
Vicky Katsoni

A phenomenon that has spread as rapidly as the sharing economy, bypassing traditional distribution channels and disrupting established business models, has naturally provoked considerable controversy. Users, providers, sharing economy sites, established businesses offering similar services to those being shared (or traded, exchanged, rented, swapped or otherwise) and governments at all levels (municipality, province, nation state, regional, and even international), have found themselves on different sides of a furious debate about the present and future shape of the sharing economy. This article explores the drivers and impacts of sharing economy in the Greek hospitality industry, presents the legal framework and discusses the challenging and at times controversial nature of it.


2019 ◽  
Vol 31 (8) ◽  
pp. 3212-3230 ◽  
Author(s):  
Kevin Kam Fung So ◽  
Karen L. Xie ◽  
Jiang Wu

Purpose This study aims to focus on peer-to-peer accommodation services in the sharing economy. Adopting construal level theory as the theoretical foundation, this study investigates the main and interaction effects of social and spatial distances on guest loyalty toward peer-to-peer accommodation. Design/methodology/approach This study uses a secondary source of online observational data archived on Xiaozhu, a leading peer-to-peer accommodation sharing platform in China. It consists of 2,612 observations of 1,304 unique travelers who stayed at 559 listings managed by 281 hosts in four major metropolitan areas of China over four years from August 2012 to August 2016. Non-linear binary choice panel models of probability regressions were used to estimate the effects of psychological distances (social and spatial) between hosts and guests on the likelihood of repeat purchase. The software used for the econometric analyses is STATA 14. Findings The results indicate that social distance negatively affects guest loyalty toward the listing hosts, while spatial distance has a positive influence on guest loyalty. The results also show significant interactions between the two psychological distance dimensions in influencing loyalty. The findings provide important insight into the influences of psychological distances on travelers’ repeat purchase behavior toward peer-to-peer accommodation providers. Originality/value This study contributes to the literature by providing empirical evidence that supports the importance of psychological distances in forming a loyal relationship between hosts and guests in the peer-to-peer accommodation sector of the sharing economy.


Author(s):  
Ľubica Šebová ◽  
Kristína Pompurová ◽  
Ivana Šimočková ◽  
Alica Albertová

The article focuses on the platform of sharing economy Airbnb and its impact on the destination. It examines the benefits and consequences of the Airbnb platform for the destination. The subject of the article is the platform of sharing economy - Airbnb. The object is a destination. The aim of the paper is to examine the impact of the largest platform of the sharing economy mediating short-term accommodation Airbnb on the destination. The selected destination is Slovakia. Article analyses the use of the platform Airbnb in Slovakia using selected indicators such as the number of offered accommodation facilities, their occupancy rate and average monthly revenue produced. It deals with the regulation of the sharing economy in the accommodation sector abroad and compares the rules for providing private accommodation in Slovakia. It proposes recommendations for the sharing economy in the field of tourism in Slovakia and maximization of positive benefits for the destination.


Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 522
Author(s):  
Laura Serrano ◽  
Antonio Sianes ◽  
Antonio Ariza-Montes

The sharing economy has experienced exponential growth in recent years, especially in the short-term rentals (STRs) tourist accommodation sector. This growth has caused disruptive effects in rural and urban contexts, especially in highly touristic cities. These effects can be both positive and negative, revitalizing certain areas and bringing about tension in the socioeconomic fabric. Today, Airbnb is considered the paradigm of this sharing economy model and the STR industry leader. However, as this study suggests, on many occasions the implementation of Airbnb exhibits more of a traditional economic business model than a collaborative economic business model. Through hierarchical cluster analysis, this study identifies different groups of European cities according to the degree of professionalization of Airbnb implementation in their territory. The goal is to find similar patterns in the Airbnbisation process in major European cities, as the social, economic, and spatial impacts of various typologies are very different and even contrary. By understanding and identifying such different models implemented in each territory, better policies can be informed, and more adapted strategies can be pursued by local governments and the tourism industry.


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