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The purpose of this paper is to examine peer-to-peer sharing platform business models, their sources of competitive advantage, and the roles, motivations and behaviors of key actors in their ecosystems.

This paper uses a conceptual approach that is rooted in the service, tourism and hospitality, and strategy literature.

First, this paper defines key types of platform business models in the sharing economy anddescribes their characteristics. In particular, the authors propose the differentiation between sharing platforms of capacity-constrained vs capacity-unconstrained assets and advance five core properties of the former. Second, the authors contrast platform business models with their pipeline business model counterparts to understand the fundamental differences between them. One important conclusion is that platforms cater to vastly more heterogeneous assets and consumer needs and, therefore, require liquidity and analytics for high-quality matching. Third, the authors examine the competitive position of platforms and conclude that their widely taken “winner takes it all” assumption is not valid. Primary network effects are less important once a critical level of liquidity has been reached and may even turn negative if increased listings raise friction in the form of search costs. Once a critical level of liquidity has been reached, a platform’s competitive position depends on stakeholder trust and service provider and user loyalty. Fourth, the authors integrate and synthesize the literature on key platform stakeholders of platform businesses (i.e. users, service providers, and regulators) and their roles and motivations. Finally, directions for further research are advanced.

This paper helps platform owners, service providers and users understand better the implications of sharing platform business models and how to position themselves in such ecosystems.

This paper integrates the extant literature on sharing platforms, takes a novel approach in delineating their key properties and dimensions, and provides insights into the evolving and dynamic forms of sharing platforms including converging business models.

The purpose of this study is to investigate the multi-dimensional structure of the Airbnb customer experience and to examine the influences of this experience on behavioral outcomes.

A multi-phase methodology was adopted using a survey questionnaire to explore the dimensions. Data were collected from a sample of 561 Airbnb users in the USA. Exploratory factor analysis and confirmed factor analysis were conducted to evaluate the reliability and validity of the scale.

First, the results support the hypothesis that the Airbnb customer experience comprises four dimensions: home benefits, personalized services, authenticity and social connection. Second, the study demonstrates that these dimensions significantly influence customers’ behavioral intentions.

The use of a US Airbnb users sample may affect the generalizability of the results.

The findings of this study provide insights for Airbnb hosts and hotel managers. More specifically, this study offers suggestions to Airbnb hosts about how to enhance their services to customers based on the four experience dimensions and to hotels about how they can compete with Airbnb on the four experience dimensions.

This study provides an important theoretical framework for measuring the Airbnb customer experience through an empirical examination.

Guided by memory-dominant logic, this study aims to examine how Airbnb experiences (i.e. home benefits, social interaction and authenticity) lead to memorability, which subsequently results in platform attachment and loyalty. The mediating role of memorability and the moderating role of arousal in forming platform loyalty were also investigated.

A quantitative method was adopted including the use of a national survey with US travelers who had an Airbnb accommodation experience in the past six months. Data were collected from a representative sample generated from the Qualtrics consumer panel using an online self-administered survey.

Results suggested that Airbnb experiences have a positive impact on memorability, which leads to platform attachment and loyalty. The findings further supported the full mediation. The results also revealed a moderating role of arousal in influencing the relationship between social interaction and memorability.

This study contributes to the literature by investigating the role of Airbnb experiences and memorability in influencing customer responses to the Airbnb platform. This study also provides a holistic understanding of how platform attachment and loyalty develop through the mechanism of memorability.

Given the continuous competition from hotels, Airbnb providers should continue to improve critical Airbnb attributes and balance its hedonic and functional values. The moderating role of arousal suggests that Airbnb could maintain a virtual community or a social platform where guests can interact with hosts or the locals before, during and after Airbnb experiences.

The findings provide a holistic understanding of the experiences with insight into the new business model of the sharing economy.

This article examines the new phenomenon of the convergence of platform and pipeline business models. It examines the potential synergies and challenges for platforms to add pipeline components and vice versa for pipeline businesses.

This paper uses a conceptual approach that synthesizes and integrates the literature from service, hospitality, and strategy, and supplements them with two illustrative mini-case studies.

While the extant literature typically focuses on the dichotomy between incumbent pipeline businesses that create value by controlling a linear series of activities and network effects-driven platforms, we differentiate between two types of platform business models (i.e. platforms with asset control and platforms with peer-provided assets). Further, we identify three common pathways of convergence; that is, pipelines moving towards (1) platforms with asset control and (2) those with peer-provided assets, and (3) platforms with peer-provided assets adopting defining business characteristics of pipelines. Furthermore, we contrast key characteristics of the three business models and examine potential synergies and challenges for business model convergence. Our findings suggest that convergence from pipelines to platforms with asset control seems to be a natural extension that offers many potential synergies and relatively minor challenges. In contrast, convergence from pipelines to platforms with peer-provided assets is likely to encounter more serious challenges and few synergies. Finally, the synergies and challenges of convergence from platforms with peer-provided assets to pipelines seem to be in between the other two in terms of synergies and challenges.

This article helps managers think through key considerations regarding potential synergies to develop and challenges to mitigate for embarking on convergence strategies between pipeline and platform business models.

This article is the first in the service, business model and strategy literature to identify, define, and conceptualize business model convergence between platforms with asset control, those with peer-provided assets and pipeline businesses. It is also the first to examine potential synergies and challenges these different paths of business model convergence may entail.

This study aims to present a novel examination of actor value formation (AVF) in the sharing economy by uncovering its key dimensions (i.e. information seeking, personal interaction and feedback) at each stage of Airbnb consumption. Using multi-source data, how the key dimensions of AVF affect consumers’ evaluative judgment capturing the key aspects of consumption experiences (i.e. communication quality, value for money and overall evaluations) was empirically tested.

This study adopted a triangulated, multi-study approach to test and validate the hypotheses. In Study 1, the authors analyzed 586,778 online reviews through deductive and inductive approaches to determine how three AVF dimensions could be captured and examine these dimensions’ effects on consumers’ evaluative judgments. In Study 2, an online survey was adopted to improve the reliability and validity of findings.

This study identified positive and negative outcomes of AVF. The results also revealed which AVF dimensions significantly led to communication quality and value for money, which in turn influenced consumers’ overall evaluations. The findings further provided robust support for the mediating role of value for money as a mechanism in the relationships between AVF and overall evaluations across the two studies.

This study contributes to the literature by empirically identifying the three key dimensions of AVF in each consumption stage and subsequently testing a conceptual model using different data, research methods and analytical techniques to cross-validate the results. The authors also extended the scope of AVF by integrating both positive and negative aspects in the context of Airbnb.

This study aims to serve as an important resource for customer engagement (CE) researchers by presenting a comprehensive, up-to-date and objective assessment of the status and evolution of the CE literature. This purpose is achieved through simultaneous consideration and separate analyses of both the marketing/service and hospitality/tourism literature where CE research dominates.

This study integrated three review techniques, including a systematic review technique, evaluative technique and relational technique, to present a state-of-the-art analysis of 236 articles. It provides an updated picture of scientific research on CE, as well as the thematic evolution and structure of the CE literature across the two disciplines.

Through a comprehensive review of the CE literature in marketing/service and hospitality/tourism domains, the present study findings build a robust foundation to evaluate how this strand of literature has developed and evolved over time. More importantly, a comparative and quantitative analysis of marketing/service and hospitality/tourism journals delivers actionable insight for hospitality and tourism scholars.

This study reframes the scientific knowledge regarding the evolution of CE literature, along with interrelation patterns, to advance relevant studies in hospitality and tourism. Findings offer a broadened perspective on the concept’s scholarly development and current research trends, thereby charting a new path for future research.

By adopting three review techniques, to the best of the authors’ knowledge, this state-of-the-art analysis is the first to compare and synthesize a large volume of marketing/service and hospitality/tourism research, assembling a springboard from which to evaluate how CE studies have developed.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

This paper aims to investigate the roles of different types of customer value in influencing in customer evaluations of Airbnb. In particular, this study empirically tests the roles of four value dimensions in shaping existing Airbnb users’ attitudes and future behavioral intentions along with the effects of tripographic characteristics on users’ post-purchase evaluative judgments.

This study adopted a multi-study approach to test the hypotheses. In Study 1, theoretical relationships between constructs were proposed and empirically analyzed; and in Study 2, a different sample was used to validate the hypothesized model and enhance the external validity of the findings. After completing both studies, the two samples were combined to test for the moderating effects of several key tripographic factors among Airbnb users.

This study found that price value, emotional value, quality value and social value were critical factors exerting differential effects on customers’ evaluations of Airbnb. Further analysis of group differences revealed that Airbnb customers’ value perceptions differed significantly depending on the length of stay, group size and number of previous trips. The number of previous trips also had a significant moderating effect on the relationship between social value and attitudes.

The findings of this study contribute to the literature on Airbnb by presenting a comprehensive assessment of the differential effects of value components in evaluating Airbnb experiences with the consideration of tripographic characteristics. While supporting the importance of emotional, social, quality and price value to Airbnb guests, the results also show that Airbnb seems to appeal particularly to visitors who stay longer, travel with large groups and have used the platform several times in the past.

The findings of this study provide important insight into which customer values contribute to users’ attitudes and consequent favorable behaviors. More importantly, this study emphasized the importance of understanding the moderating effects of tripographic characteristics in the relationships between customer values and existing users’ evaluative judgment of Airbnb experiences.

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.