ORCID Profile
0000-0002-9754-5730
Current Organisation
University of Queensland
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 07-2015
Publisher: Elsevier BV
Date: 09-2016
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3604
Abstract: Airbnb is the peer-to-peer accommodation network that gets most of the attention – positive and negative. But Airbnb is not the only one. The aim of this chapter is to provide an overview of existing peer-to-peer accommodation networks, explore their characteristics and propose a typology of peer-to-peer accommodation networks and booking sites.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3616
Abstract: This chapter explores the potential of peer-to-peer accommodation networks to cater to a market segment with very specific requirements in terms of the size and setup of short-term tourism accommodation: multi-family travel. Hotels, motels, bed and breakfasts, and even resorts typically offer rooms of different sizes, but rarely spaces large enough to allow two or three families to spend their holidays together. Many listings on peer-to-peer accommodation networks have not been developed for tourists they have been developed for families. As such, they are uniquely suited to cater to this market segment.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3617
Abstract: On most peer-to-peer accommodation networks, people have to set up personal profiles, including a photo and some basic information about themselves. Typically, people wanting to book accommodation (guests) send a request to those offering it (hosts). Hosts assess the booking request and either decline or accept it. This chapter investigates factors that are associated with higher levels of declining booking requests by Airbnb hosts. Results suggest that declining requests is not associated with personal characteristics of the guest or host. Rather, hosts appear to be aware of the potential risks involved in letting strangers stay in their house (or room), and attempt to reduce this risk by assessing each guest inquiry at the booking level. These findings do not support recent claims of systematic discrimination on peer-to-peer accommodation networks.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3619
Abstract: Large-scale natural disasters and man-made crises, such as terrorist attacks, can lead to substantial drops in tourism demand in the affected destination, thus threatening the local tourism industry. Demand can fall further if the disaster has reduced the supply of accommodation. This chapter explores the potential of peer-to-peer networks assisting destinations in the immediate emergency, and in the recovery stage. Airbnb has, on a number of occasions, made accommodation available at no cost when people were in need as the consequence of an unexpected event. But even among residents who are not currently members of a network, willingness to help is substantial, pointing to the potential of a new – much more decentralized – approach to disaster recovery at tourism destinations.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3609
Abstract: Peer-to-peer accommodation networks are a global phenomenon. Many cities and states around the world are facing significant regulatory challenges because of the high demand for peer-to-peer network accommodation. This chapter discusses that challenges which have arisen and how a number of cities and states around the world – including New York, San Francisco, Paris, London, Amsterdam, Berlin, Barcelona, Reykjavík, Tokyo and Tasmania – have introduced new or changed existing regulations to address those challenges.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-36122
Abstract: The tourism industry causes significant environmental damage. With demand for peer-to-peer accommodation dramatically increasing and expected to further increase, the question arises whether the provision of accommodation via peer-to-peer networks places a higher burden on the environment or whether it reduces this burden. This question stands at the center of this chapter.
Publisher: Elsevier BV
Date: 09-2017
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3621
Abstract: This chapter explores the engagement of peer-to-peer accommodation networks in activities not aligning directly with their corporate mission, including corporate social responsibility and activism. While corporate social responsibility aligns with societal values, activism often seeks to change them, thus potentially alienating customers. Yet Airbnb – the internationally leading commercial peer-to-peer accommodation network – is very proactively engaged in political activism, including fighting for marriage equality and against the tightening of US immigration law.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-3622
Abstract: The tourism industry causes significant environmental damage. With demand for peer-to-peer accommodation dramatically increasing and expected to further increase, the question arises whether the provision of accommodation via peer-to-peer networks places a higher burden on the environment or whether it reduces this burden. This question stands at the center of this chapter.
Publisher: Goodfellow Publishers
Date: 12-2017
DOI: 10.23912/9781911396512-36121
Abstract: This chapter explores the engagement of peer-to-peer accommodation networks in activities not aligning directly with their corporate mission, including corporate social responsibility and activism. While corporate social responsibility aligns with societal values, activism often seeks to change them, thus potentially alienating customers. Yet Airbnb – the internationally leading commercial peer-to-peer accommodation network – is very proactively engaged in political activism, including fighting for marriage equality and against the tightening of US immigration law.
Publisher: SAGE Publications
Date: 11-2016
Abstract: Using a split-ballot experiment with 940 respondents, this study compares the quality of data from an association grid with data gathered through a single ‘pick any’ list repeated for each brand on a new page in a web survey. The association grid is a multiple response matrix used to measure brand image associations for a number of brands at the same time. Attributes are usually presented as rows, and brands in columns, allowing respondents to select each association they perceive to be true (e.g. Coca Cola – Popular). Our results indicate that larger association grids are answered considerably faster, but are heavily prone to evasion bias and perform worse when it comes to drop-out, comprehension and attention to the task. Smaller association grids have no ill effect on the respondent experience, but are also devoid of material benefit in terms of field time or data quality. As a tool for measuring brand-image association, the association grid is therefore not recommended.
Publisher: SAGE Publications
Date: 16-11-2016
Abstract: Residents are key stakeholders of tourism destinations. Yet, to date, no study has investigated if and how residents can contribute to destination recovery when a disaster hits. The emergence of peer-to-peer networks offers an efficient platform for residents to open their homes to displaced tourists. Such help is particularly critical if key tourist infrastructure is severely damaged. But are residents willing to open their homes and help in other ways? The present study adopts a scenario-based survey research design, including Australians who live in tourism regions and Australian tourists. Results indicate that (1) segments of residents willing to support the tourism industry in disaster situations exist, and (2) tourists are willing to accept residents’ offers of support. The more immediate the emergency, the higher the willingness to help and accept help. These insights point to the potential of involving residents in destination recovery efforts.
Location: Iran (Islamic Republic of)
No related grants have been discovered for Homa Hajibaba.