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This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and discount strategy) when selecting hotels and peer-to-peer (P2P) accommodation sharing on online booking platforms.

A discrete choice experiment (DCE) was conducted with 291 respondents with accommodation needs. They were asked to choose between pairs of listings.

The authors found that when booking accommodation online, complex discount strategies were not determinant both in selecting hotels and P2P accommodations. Positive valence rate of reviews has a higher impact on the selection of traditional hotels than P2P accommodations, while the number of online reviews has a higher impact on the selection of P2P accommodations than traditional hotels. The authors further discuss the effect of each attribute on online accommodation selection in terms of price ranges of the property listings.

The findings provide suggestions for platform operators and product/service providers to improve their marketing strategies and optimize their management efforts.

To the best of the authors’ knowledge, this is one of the first studies that investigate the role of property listings' attributes on the selections between hotels and P2P accommodations. The findings from this research study could be generalized to other online platforms and electronic commerce-related transactions.

The purpose of this study is to examine the impact of key decision-making attributes on consumers’ choice of accommodation among and between hotels and Airbnb.

The study used a choice-based conjoint approach using 21 key decision-making factors that impact consumers’ choice of accommodation across five segments ranging from economy to luxury. Latent class estimation was used to identify segments of respondents who tend to have similar preferences for accommodation.

The results showed the presence of a consistent pattern of decision-making across the five accommodation segments, culminating in a hierarchy of importance in accommodation choice. The 21 key decision-making attributes comprised three tiers in order of decreasing importance: quality and service, amenities, and accessibility and safety. Further, latent class analysis indicated the presence of a hotel group and an Airbnb group of customers, which allowed us to identify how both types of providers might maximize the value of their offers to encourage customer switch.

The accommodation landscape is extremely dynamic (particularly as the COVID-19 pandemic unfolds) and complex. The present study cannot capture all of its intricacies but provides an invaluable foundation for future research on the topic of consumer choice in an evolving and competitive accommodation market.

Extant research on accommodation choice has focused on hotels or Airbnb only. Moreover, research that has considered both types of accommodation simultaneously is limited in its conceptual and methodological scope. The present study synthesizes the fragmented literature on consumers’ accommodation choices and offers a holistic and coherent schematic – the hierarchy of importance in accommodation choice – that can be used by future researchers and practitioners alike.

Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.

A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.

The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.

This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.

The purpose of this study is to identify individuals’ preferences for the information attributes of Airbnb, a representative peer-to-peer (P2P) accommodation platform. In the sharing economy, platforms are considered to be the principal intermediaries in supply and demand, and these platforms have distinctly different attributes from traditional accommodation reservation systems.

The present study used a choice experiment, which is a method for systematically identifying attributes’ preferences in the form of marginal willingness-to-pay (MWTP). Amazon Mechanical Turk, a crowdsourcing marketplace, was used for data collection, and 243 respondents ultimately participated in the survey.

Results showed that respondents’ choices were positively affected by the number of pictures of an accommodation, host experience, cancellation policy and local information but negatively affected by cost. Regarding MWTPs, host experience had the highest value (US$84.25), followed by cancellation policy (US$40), photos (US$26.67) and local information (US$10.92).

These study results could provide strategic guidance for guiding the development of P2P accommodation platforms by providing a prioritized list of preferred attributes for Airbnb.

本研究旨在识别个人对Airbnb这一代表性P2P住宿平台信息属性的偏好。在共享经济中, 平台被视为供需的主要中介, 而这些平台与传统住宿预订系统有明显不同的属性。

本研究采用选择实验法（CE）, 这是一种系统地确定属性偏好的方法, 表现为边际支付意愿（MWTP）。数据采集使用了Amazon Mechanical Turk（MTurk）, 最终有243名受访者参与了调查。

结果显示, 受访者的选择受到住宿图片数量、房东经验、取消政策和本地信息的积极影响, 而受到价格的负面影响。关于边际支付意愿, 房东经验具有最高价值（84.25美元）, 其次依次为取消政策（40美元）、照片（26.67美元）和本地信息（10.92美元）

通过提供优先考虑的 Airbnb 偏好属性列表, 本研究结果可以为引导P2P住宿平台的发展提供战略指导.

The provision of accommodation devices is said to aid organizational inclusion of employees with a disability. However, devices that are meant to enable might only partially facilitate productivity, independence, and social inclusion if these devices are not accepted by the user's workgroup. The authors outline a conceptual model of accommodation device acceptance through a sociomaterial lens to suggest conditions influencing workgroup device acceptance.

To build the model, the authors draw upon the sociomateriality and disability literature to frame accommodation devices as experienced in ongoing interactions, representing the goals, feelings, and interpretations of specific workgroups. The authors also unpack attributes of devices—instrumentality, aesthetics, and symbolism—and propose how each of these can pattern social conduct to influence device acceptance. The authors then draw upon the disability literature to identify attributes of workgroups that can be expected to amplify or diminish the effect of device attributes on device acceptance in that workgroup.

The conceptualization, which the authors illustrate with examples particular to visual impairment, presents implications for who and what serves as a gatekeeper to accommodation device acceptance and thereby workgroup inclusion.

Prior research has focused on conditions under which devices are requested by users or made available by organizations, undergirded by the assumption that devices are well-specified once provided and that they operate relatively predictably when used in various workgroups. The authors focus instead on what happens after the device is provided and highlight the complex and dynamic interaction between an accommodation device and the workgroup, which influences device and user acceptance.

This paper aims to examine the relationship between self-image of women travelers, accommodation preferences and the post-consumption behaviors of satisfaction and loyalty.

Accommodation preferences were measured using multi-items adapted from the literature and multi-phases of qualitative research. Female guests recruited from a resort’s membership database in Malaysia resulted in 540 useable surveys. Data were analyzed using both exploratory factor analysis and confirmatory factor analysis. Structural equation modeling was used to identify relationships between the various dimensions of accommodation preferences, self-image, satisfaction and loyalty.

A significant negative relationship was found between women actual self-image and the dimension of hotel activities. Several significant positive relationships were found between women ideal self-image and various room amenities factors. A significant relationship was also found between overall satisfaction and loyalty of guests.

The results provide hoteliers with significant insights into women’s accommodation preferences and identify opportunities for the packaging of accommodation attributes as well as promotion of hotel amenities that would appeal to the girlfriend getaway market.

This study is the first to evaluate significant relationships between self-image and accommodation preferences of women travelers from the girlfriend getaway market in Malaysia.

The purpose of this paper is to propose a short-term renters’ preference profile for peer-to-peer (P2P) accommodation selection in the housing market in Kuala Lumpur, Malaysia. The emergence of P2P accommodation was initiated by the concept of a sharing economy, allowing the peer provider to share personal properties with the peer end-users. As the housing market has become more competitive, understanding the preference profile among short-term renters is advantageous to offer a matching marketing mix to the targeted customers.

This study uses qualitative method associated with thematic analysis. A total of 10,509 reviews on Airbnb were gathered from 377 properties in Kuala Lumpur Federal Territory from 2013 to 2017. Thematic analysis assisted by NVivo software was applied to analyse the empirical data. In total, 14 attributes were identified which could be categorised into 5Ps. The concept of 5Ps adopted from modern marketing is commonly used to categorise the strategies in the marketing process. In the current context, 5Ps is used to categorise the preference of the short-term renter in their selection of P2P accommodation including product, price, promotion, process and people.

This paper has developed a preference profile for P2P accommodation selection in Malaysia’s housing market. In total, 14 attributes were identified and categorised into the 5Ps of marketing mix. The results showed that the majority of short-term renters were concerned mostly with product (73.2 per cent), followed by people (14.5 per cent), process (10.1 per cent), price (2.0 per cent) and promotion (0.2 per cent).

This study contributes to existing literature with a novel case in Malaysia’s housing market by identifying the short-term renter’s preference in the P2P accommodation selection in the Malaysian housing market, specifically in Kuala Lumpur. The preference profile provides guidance for property owners and developers in the housing market to offer the right product in enhancing the marketability and rentability of the property.

Peer-to-peer (P2P) accommodation has become increasingly popular in recent years, and hotels are facing unprecedented impacts. Attracting new consumers and retaining existing ones are critical to the success of P2P accommodation and hotels. The purpose of this paper is to examine three categories of antecedents for hotels consumers’ switching intention: push (i.e. satiation), pull (i.e. perceived value) and mooring (i.e. optimal stimulation level) factors using push–pull–mooring (PPM) model.

Airbnb was chosen as the research context. An online survey was conducted to examine the proposed research model and hypotheses. A total of 292 valid data were collected from Airbnb users through a survey.

The findings show that the three categories of factors have positive and significant effects on switching intention. Additionally, the mooring factor has a significant moderating effect on the relationship between pull factors and switching intention. Furthermore, the mooring factor affects both pull and push factors.

First, this is one of the early studies to pay attention to switching intention from hotels to P2P accommodation. Second, to provide a comprehensive understanding of consumers’ switching intention, the authors use PPM model to establish the research framework. This research improves the understanding of consumer’s switching intention by identifying the push and pull factors based on the differences between hotels and P2P accommodation in accordance with optimal stimulation level theory and consumer value theory.

This study aims to explore the use of time series analyses to examine changes in travelers’ preferences in accommodation features by disentangling seasonal, trend and the COVID-19 pandemic’s once-off disruptive effects.

Longitudinal data are retrieved by online traveler reviews (n = 519,200) from the Canary Islands, Spain, over a period of seven years (2015 to 2022). A time series analysis decomposes the seasonal, trend and disruptive effects of six prominent accommodation features (view, terrace, pool, shop, location and room).

Single accommodation features reveal different seasonal patterns. Trend analyses indicate long-term trend effects and short-term disruption effects caused by Covid-19. In contrast, no long-term effect of the pandemic was found.

The findings stress the need to address seasonality at the single accommodation feature level. Beyond targeting specific features at different guest groups, new approaches could allow dynamic price optimization. Real-time insight can be used for the targeted marketing of platform providers and accommodation owners.

A novel application of a time series perspective reveals trends and seasonal changes in travelers’ accommodation feature preferences. The findings help better address travelers’ needs in P2P offerings.

Rural homestays have emerged as an interesting option for tourists. This study aims to assess the role of destination attractiveness factors and travel motivations in homestay choice. The moderating role of need for uniqueness towards enhancing these relationships is also examined.

A survey of 201 Indian tourists who had visited rural homestays in the Uttarakhand state of India was conducted. Data were analyzed using SPSS and WarpPLS, based on structural equation modelling approach.

Results indicate that two destination attractiveness factors – (a) cultural and rural attractions and (b) destination location and transportation – have a significant association with rural homestay choice. Further, need for uniqueness enhances the relationship between natural attractions and choosing rural homestays.

Although there are several studies on rural homestays, there is scant research on the factors influencing the choice of rural homestays from a tourists’ perspective. Besides, studies on rural homestay tourism have not assessed the role of need for uniqueness in influencing such choices. The implications of the study for destination marketers, homestay operators and owners are discussed which would hopefully aid in attracting discerning tourists to the rural homestays to such regions.