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The growth of information and communication technology and the appearance of the sharing economy have affected the market. This trend will potentially create a competitive transformation, especially in the accommodation sector. While Airbnb has become the leader in the sharing economy, more competitors are coming into the market, some with different business propositions and positioning strategies, thereby offering different points of differences (PODs). The purpose of this study is to identify and compare the factors that influence the usage of peer-to-peer (P2P) accommodation services for trading activity (renting vs lending), particularly between Airbnb and Couchsurfing. More specifically, this study examines the causal relationships among some major factors that influence customers’ purchase intentions, such as perceived risk, perceived value, price sensitivity and word of mouth.

A total of 400 millennial respondents – 200 for each service – who have used the respective mobile applications participated in the online survey. Using structural equation modeling, the analysis revealed that the model acts differently across the groups.

The results revealed that Airbnb respondents paid more attention to perceived risks when booking the accommodation, thus indicating that they are more risk-averse, whereas Couchsurfing’s users sought the perceived value that they would receive at the destination.

The findings of this study are beneficial for Airbnb and Couchsurfing in particular and players in the industry in general.

This study reveals that factors that influence the intention to use the sharing economy platform work differently based on the form of trading activities.

Collaborative consumption emerges from social practices such as sharing, lending and gifting. It is becoming more common among consumers, boosted by the internet, which facilitates the collaboration process with both strong and weak ties. This paper aims to examine collaborative consumer experience, delving into the factors that contribute to the adoption and the perceived benefits of this alternative form of consumption.

A total of 12 phenomenological interviews were conducted o explore the theme from an individual perspective, attested by the consumers’ narratives and experiences.

The results highlight collaborative consumption as being influenced by family practices, social relations and the current economic scenario. Also, noteworthy is the evidence that collaborative consumption enables consumers to select from a more diversified portfolio of products and services, especially the ones featured by the internet and social media. Consumers perceive financial, emotional, social, environmental and increased consumption benefits, depending on their practices of collaborative consumption, and also on their role as providers, consumers or exchangers.

Through the phenomenological approach, based on individual reports of experiences related to collaborative consumption, it was possible to highlight some aspects relevant to better understanding the behavior of collaborative consumers.

The sharing economy is a socio-economic system in which individuals acquire and distribute goods and services among each other for free or for compensation through internet platforms. The sharing economy has attracted the interest of the academic community, which examined the phenomenon from the economic, social and technological perspectives. The paper aims to discuss this issue.

Given the lack of an overarching analysis of the sharing economy, this paper employs a quantitative content analysis approach to explore and synthesise relevant findings to facilitate the understanding of this emerging phenomenon.

The paper identified and grouped findings under four themes, namely: collaborative consumption practices, resources, drivers of user engagement and impacts, each of which is discussed in relation to the three main themes, aiming to compare findings and then put forward an agenda for further research.

The paper offers a balanced analysis of the building blocks of the sharing economy, to identify emerging themes within each stream, to discuss any contextual differences from a multi-stakeholder perspective and to propose directions for future studies.

The purpose of this study is to analyze short- and long-run market-sensitive drivers of housing affordability. The study highlights an ongoing housing affordability crisis in an emerging market context by also providing an empirical tool to combat the crisis.

To investigate determinants of uniquely constructed effective housing affordability index and house price to income ratio index, the author uses a bound testing approach to cointegration and error correction models, besides causality tests, variance decompositions and impulse response functions. This study uses Turkish data for the period of 2007 M06 and 2017 M12.

The evidence suggests that the housing affordability crisis is mainly driven by credit expansion, rent and construction costs. A sensible housing policy response would target these variables. This evidence suggests that housing affordability mostly depends on housing market dynamics rather than policies because of the exogeneous/cyclical natures of the drivers.

Data constraints shape the study. A regional or an aggregate-level panel study cannot be developed because of a lack of data. This limitation inevitably results in the exclusion of relevant socio-economic/political factors and is also the main reason for the lack of comparative analysis in a cross-country setting.

This study argues that dependency on neoliberal housing market practices seems the underlying reason for the lack of efficient policy answers and the ongoing affordability crisis. From a policymaking perspective, the study suggests that necessary policy measures to resolve the housing affordability crisis may give a specific emphasis on housing rent, housing credit volume and construction costs as the major components of the crisis.

This study develops a novel measure and presents a new conceptual framework by combining quantitative research methods and policymaking in housing affordability. In this respect, to the best of the author’s knowledge, this is the first work to comparatively investigate the determinants of uniquely developed monthly housing affordability measurements.

The purpose of this paper is to explore swap-shops, which emerged as part of the collaborative consumption phenomenon, by investigating what the implications are of consumers acting as suppliers and how this affects supply chain management within the context of the fashion industry.

This study explores the collaborative consumption phenomenon through swap-shops in three countries: the UK, Finland and Germany. In-depth semi-structured interviews were conducted with swappers, non-swappers and organisers. To further enhance the data set six observations of swap-shop events were conducted. Data were transcribed and analysed using multiple coding cycles and using a grounded research approach.

Findings indicate that consumers were most concerned with availability/sizing and quality of garments, whilst organisers felt uncertainty was the biggest issue. Data allowed creating a framework that blueprints the swapping supply chain, in which consumers emerge as suppliers. It highlights possible activities in different cycles, whilst furthermore indicates that consumption cycles can move from monetary (e.g. selling) to non-monetary transactions (e.g. swapping) and vice versa.

Swapping as a relatively new fashion supply mode implies a fluidity of market roles. Disruptive business models can blur boundaries between the supply- and demand-side. This indicates that consumers can change “roles” multiple times as they go through the consumption cycle.

The authors extended the knowledge on swapping by describing how this phenomenon can activate consumers, and extend and intensify the use of garments and therefore swapping can slow the material throughput in the system. It is the first paper to focus solely on swapping within a three country context.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

Digital innovation and circular business model innovation are two critical enablers of a circular economy. A wide variety of digital technologies such as blockchain, 3D printing, cyber-physical systems, or big data also diverges the applications of digital technologies in circular business models. Given heterogeneous attributes of circular business models and digital technologies, the selections of digital technologies and circular business models might be highly distinctive within and between sectorial contexts. This paper examines digital circular business models in the context of the fashion industry and its multiple actors. This industry as the world’s second polluting industry requires an urgent circular economy (CE) transition with less resource consumption, lower waste emissions and a more stable economy.

An inductive, exploratory multiple-case study method is employed to investigate the ten cases of different sized fashion companies (i.e. large, small medium-sized firm (SME) and startup firms). The comparison across cases is conducted to understand fashion firms' distinct behaviours in adopting various digital circular economy strategies.

The paper presents three archetypes of digital-based circular business models in the fashion industry: the blockchain-based supply chain model, the service-based model and the pull demand-driven model. Besides incremental innovations, the radical business model and digital innovations as presented in the pull demand-driven model may be crucial to the fashion circular economy transition. The pull demand–driven model may shift the economy from scales to scopes, change the whole process of how the fashion items are forecasted, produced, and used, and reform consumer behaviours. The paths of adopting digital fashion circular business models are also different among large, SMEs and startup fashion firms.

The study provides business managers with empirical insights on how circular business models (CBMs) should be chosen according to intrinsic business capacities, technological competences and CE strategies. The emerging trends of new fashion markets (e.g. rental, subscription) and consumers' sustainable awareness should be not be neglected. Moreover, besides adopting recycling and reuse strategies, large fashion incumbents consider collaborating with other technology suppliers and startup companies to incubate more radical innovations.

Appropriate policies and regulations should be enacted to enable the digital CE transition. Market patterns and consumer acceptances are considered highly challenging to these digital fashion models. A balanced policy on both the demand and supply sides are suggested. The one-side policy may fail CBMs that entail an upside-down collaboration of both producers and consumers. Moreover, it is perhaps time to rethink how to reduce unnecessary new demand rather than repeatedly producing and recycling.

The pace of CE research is lagging far behind the accelerating environmental contamination by the fashion industry. The study aims to narrow the gap between theory and practice to harmonise fashion firms' orchestration and accelerate the transition of the fashion industry towards the CE. This study examines diverse types of digital technologies in different circular business models in a homogeneous context of the fashion industry with heterogeneous firm types.

The purpose of this paper is to explore the role of religiosity in online collaborative consumption contexts. It analyzes the impact of religiosity in influencing consumer life decisions and behaviors. The proposed framework is based on the norm activation theory (NAT) with religiosity added to it based on the extant literature. The paper aims to provide implications for marketing researchers and practitioners derived from its analysis and propositions.

The current paper proposes a model for marketing researchers to consider the role of religiosity as a cultural and psychological factor in influencing online collaborative consumption. The NAT is adopted as the base of the conceptual model. The model posits research propositions on the potential interaction of religiosity with existing relationships in the theory to predict online collaborative consumption behavior.

The NAT is considered a prominent model in studying pro-environmental behaviors and it was adopted in various studies. Some researchers adopted the theory to study collaborative consumption as a pro-environmental behavior. Religiosity was found to significantly impact pro-environmental behaviors, but no research was found regarding its impact on collaborative consumption. The paper concludes with recommendations for future research and implications to marketing practitioners about the role of religiosity in influencing collaborative consumption behavior.

Although there were few research studies that exist in discussing the role of religiosity in explaining consumer behavior, it could be argued that this paper is the first of its kind, according to the best of the authors’ knowledge, that discusses the role of religiosity in online collaborative consumption contexts through the use of NAT.

This study aims to explain the influence of four socio-psychological variables: social comparison orientation, face saving (FS), status consumption (STC) and frugality (FGL) on consumers’ value perception toward ride-sharing services – one of the most widely used collaborative consumption models. Furthermore, it assesses how perceived value affects consumers’ intention to use (IU) the ride-sharing services and intentions to substitute ride-sharing services for using a personally owned car. It also assesses the moderating effect of psychographics on the relationship between consumers’ perception and behavioral intention.

A structured questionnaire was developed using existing scales adapted from the literature to test the hypothesized relationships. The data for the study were collected from 489 users of ride-sharing services in India. Structural equation modelling was performed to test the proposed model using AMOS 18 and moderation analysis was performed using PROCESS MACRO.

The findings of the study suggest that social comparison, FS, STC and FGL have a significant influence on consumers’ value (utilitarian and hedonic) perception. Furthermore, the results supported the effect of consumers’ value perception on their IU the ride-sharing services as well as their intention to substitute ride-sharing services for using a personally owned car. Lastly, the results also evidenced the moderating role of psychographic variables.

Very few studies have examined the role of psychographics in the adoption of collaborative consumption services. The paper attempts to fill this gap. It assesses the effect of four relevant consumer traits on perceived value in the ride-sharing services context. Furthermore, it expands the understanding of the role of psychographics by measuring their moderating effects apart from direct effects. The results of the study bear important implications for academicians, policymakers and marketers.