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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.

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.

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.

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.

With the prevalence of the sharing economy phenomenon, there are an increasing number of hosts on Airbnb who manage more than one listing. Managing more listings likely makes hosts more seasoned in terms of serving guests, but it may undermine host quality due to hosts’ constrained capability. This paper aims to examine the effects of host quality attributes and the number of listings per host on the reservation performance of these listings.

Using a large-scale but granular data set of 5,805 active listings of 4,608 Airbnb hosts in Austin, Texas, this study estimates the effects of host attributes (host quality and listing quantity) on the performance of the hosts’ Airbnb listings through a blend of regression models.

This study evidences that host quality attributes significantly influence listing performance through cue-based trust. In addition, this study finds a “trade-off” between host quality and the quantity of their listings. As the number of listings managed by a host increases, the performance effects of host quality diminish.

The business implications of this study include the suggestion that sharing economy businesses such as Airbnb should sustain service quality through incentivizing hosts to improve host quality while balancing the quantity of listings managed.

This study contributes to the literature through its meaningful theoretical extension in the sharing economy context and unique data-driven insights enabled by an analytical approach. It addresses the critical but less researched topic of host quality and listing quantity and generates important practical business and policy implications.

This paper aims to examine the joint influence of incidental affect and mood-changing prices on consumers’ hotel booking intention in an online purchase context.

Based on the integrative framework of affect evaluation and affect regulation, a 3 × 2 full factorial between-subject online experiment in an online booking scenario is developed to investigate how consumers’ booking intentions change by mood inductions (happy, neutral and sad) and price levels (below versus above reference price).

Results showed that when the observed price was a mood-threatening cue, participants who were induced to feel either happy or sad by a commercial had a higher booking intention than those who were induced to feel neutral. However, there were no significant differences in participants’ booking intentions across pre-purchase affective states when the observed price was a mood-lifting cue.

The current study contributes to a better understanding and prediction of consumers’ action tendencies resulting from the interactions between specific incidental affects and mood-changing opportunities in an online hotel reservation environment.

Online booking companies and online travel agencies in general may wish to incorporate mood-changing components into their booking web pages to enhance potential bookers’ purchase intentions at any given price.

This research is one of the first empirical studies to instantiate the integrative affective mechanism in an online purchase setting. As e-commerce and online marketplaces are taking the place of traditional brick-and-mortar retailing, it is critical for hospitality industry marketers to fully understand how consumers’ pre-purchase emotions influence their purchase decisions.

This study aims to measures the effects of managerial response on consumer electronic word-of-mouth (eWOM) and hotel performance.

A sample of 56,284 consumer reviews and 10,793 managerial responses for 1,045 hotels was retrieved from TripAdvisor, along with 30,232 performance records matched to these hotels on a quarterly basis.

This study finds that managerial response leads to an average increase of 0.235 stars in the TripAdvisor ratings of the sampled hotels, as well as a 17.3 per cent increase in the volume of subsequent consumer eWOM. Moreover, managerial response moderates the influence of ratings and volume of consumer eWOM on hotel performance.

This study offers a practical model that enables hotel managers to orchestrate social media marketing approaches and efforts toward an optimal social media strategy.

This study differs from extant literature that has extensively focused on consumer reviews by providing a new perspective of management intervention in the social media context. By examining the interplay of managerial response and consumer eWOM at the individual hotel level, this study provides empirical evidence of managerial response affecting hotel performance through the increased ratings and volume of consumer eWOM. This study also offers insights into the practical importance of crafting intervention opportunities to cultivate the continued engagement of consumers on social media and increased hotel performance.

Although room-sharing platforms such as Airbnb have become globally prevalent business phenomena, no cross-cultural research has been conducted to examine how travelers outside the “Western Bubble” perceive and respond to this sharing economy. The purpose of this paper is to explore factors that affect Chinese travelers’ behavioral intentions toward room-sharing platforms in the sharing economy.

Based on theories of motivation, the influences on travelers of utilitarian and hedonic motivation, perceived trust and past experience were investigated. Considering the characteristics of room-sharing, utilitarian motivation is measured by service experience, information acquisition, cost saving and resource efficiency. Hedonic motivation is measured by adventure, gratification, sharing and friend-seeking. Data were collected in online survey from 445 valid samples and analyzed by partial least squares (PLS) regression approach using SmartPLS 3.0.

The findings indicate that although intensity varies, utilitarian motivation, hedonic motivation and perceived trust do have positive effects on tourists’ behavioral intentions. Past experience with room-sharing moderates these effects.

There is scant research about consumers’ behaviors toward a sharing economy in Western countries and no empirical research in this field with analyses of Chinese consumers, although China is an emerging market in the hospitality industry. None of the previous research was based on theories of motivation and trust, especially without a consideration of the moderating effect of past experience. Therefore, this study aims to narrow these gaps and to combine, organize and extend previous studies to improve the analysis of behavioral intention in the sharing economy. The value of this study lies in the research model and analysis with the backdrop of China.

This study attempts to examine customers' perceived value of hotel loyalty programs, to identify the relationship between perceived program value and active loyalty, and to examine the effect of perceived program value in determining customers' active loyalty.

An extensive sample of 15,000 respondents was randomly selected from a pool of US domestic tourists who previously requested tourism information from the Convention and Visitor's Bureau (CVB) websites across the country. The data for this study were collected using online survey questionnaires. The researchers sent out e-mails, embedding a link to a brief questionnaire and consent form to potential respondents.

This study substantiates the impact of perceived program value, particularly the psychological value, on active loyalty. In addition, the study identifies significant differences in perceived financial value and externality value of the loyalty programs.

This study breaks down loyalty program practices into individual brand levels and compares the perceived program value of 11 major hotel loyalty programs. This provides a better understanding of the perceived program value that may affect active loyalty and explains how the value varies by different hotel loyalty programs. This study offers recommendations on how hotels might craft value opportunities to cultivate the continued engagement of consumers. The results of this study offer insights into the under-researched domain of the drivers of active loyalty in the hospitality context and suggest methods for better strategic management of this loyalty form.

This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.

Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.

This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.

The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.

To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.

Despite the breadth of knowledge on self and identity formation across the study of organizations, the field of organizational development and change has limited research on the construction of professional identity. Much has been written to describe the “self-concepts” of those practicing and researching in the field, but there have been no investigations that have explored how these “self-concepts” form. In addition, although women have contributed to defining the “self” in the field, men have held the dominant perspective on the subject. Thus, in this chapter, we address a disparity in the research by exploring the construction of professional identity in the field of organizational development and change, and we give voice to the renowned women who helped to build the field. Using the profiles of 17 American women included in The Palgrave Handbook of Organizational Change Thinkers, we perform a narrative analysis based upon the concepts and models prevalent in the literature on identity formation. By disentangling professional identity formation of the notable women in the field, we can begin to see the nuance and particularities involved in its construction and gain deeper understandings about effective ways to prepare individuals to work in and advance the field.

Unsupervised domain adaptation object detection not only mitigates model terrible performance resulting from domain gap, but also has the ability to apply knowledge trained on a definite domain to a distinct domain. However, aligning the whole feature may confuse the object and background information, making it challenging to extract discriminative features. This paper aims to propose an improved approach which is called intrinsic feature extraction domain adaptation (IFEDA) to extract discriminative features effectively.

IFEDA consists of the intrinsic feature extraction (IFE) module and object consistency constraint (OCC). The IFE module, designed on the instance level, mainly solves the issue of the difficult extraction of discriminative object features. Specifically, the discriminative region of the objects can be paid more attention to. Meanwhile, the OCC is deployed to determine whether category prediction in the target domain brings into correspondence with it in the source domain.

Experimental results demonstrate the validity of our approach and achieve good outcomes on challenging data sets.

Limitations to this research are that only one target domain is applied, and it may change the ability of model generalization when the problem of insufficient data sets or unseen domain appeared.

This paper solves the issue of critical information defects by tackling the difficulty of extracting discriminative features. And the categories in both domains are compelled to be consistent for better object detection.