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The purpose of this paper is to examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.

A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling technique.

The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber.

This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research.

The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy.

This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.

In order to guide sustainability research on the sharing economy, the purpose of this paper is to develop a comprehensive framework that captures the wide range of activities and business models that are considered to be part of the sharing economy.

Based on a systematic literature review and a content analysis, existing typologies are identified and analyzed for their conceptual intersections. Finally, categorizations from 43 documents are integrated into one framework.

Four main dimensions are identified as being used in different contexts to characterize sharing systems and were combined to form one comprehensive typology: shared good or service, market structure, market orientation, and industry sector.

The proposed typology is able to distinguish sharing activities based on their similarities and differences. Social, economic, and communicational avenues for the term “sharing” are merged into a conceptual foundation of the sharing economy. This enables researchers, practitioners, and policy makers to position their projects in the broad field of sharing. By discussing inherent tensions with regard to sustainability of the sharing economy, the offered categorizations can help to guide future research and policy intervention. Last but not least, professional managers should find valuable ideas for new business models.

The purpose of this paper is to explore why and how sharing economy users switch from consumer (e.g. Airbnb guest) to provider (e.g. Airbnb host), and how this helps enrich self-determination theory.

The authors conducted an exploratory study with users who had been consumers (i.e. Airbnb guests) and had switched to being providers (i.e. Airbnb hosts).

Consumers switch to being providers across four phases: “catalysts”, “enablers”, “drivers” and “glue”. The authors identify various extrinsic and intrinsic motivations unique to the switch and map these against motivators postulated by self-determination theory.

The authors propose a four-phase process through which consumers become providers. The present study enriches self-determination theory by showing how users' psychosocial needs are addressed through a variety of intrinsic and extrinsic factors that are unique to the role switch. The authors further show how the importance of the three key psychosocial self-determination needs varies through the switch process, thus providing a more nuanced understanding of users' drive for self-determination.

This study offers several recommendations to help sharing economy platforms improve their processes and communication to encourage a greater number of consumers to switch roles and become providers. These recommendations address two aspects: (1) encouraging consumers to switch roles and become providers (i.e. acquisition) and following this (2) encouraging providers to continue to perform that role (i.e. retention).

Much research has investigated why users become consumers (e.g. Airbnb guests) or providers (e.g. Airbnb hosts) in the sharing economy. However, research to date has not fully embraced the two-sided nature of the sharing economy. Therefore, this is the first paper to explore why and how consumers switch roles and become providers in the sharing economy, and how this helps enrich self-determination theory.

The sharing economy is an emerging trend that takes advantage of underused assets and generates enormous amount of economic value. However, little research has been done to understand the factors that drive people to share assets.

This study develops two models, one based on the theory of planned behavior (TPB) and another based on social capital theory (SCT), to explain why individuals want to share their assets with others. An Internet survey is conducted to collect data and test the proposed models. Most of respondents were members of Airbnb or Uber – accommodation sharing and taxi services.

The results show that the TPB model has greater explanatory power than the SCT model. The individual's motivations, attitude, perceived behavioral control, facilitating technological conditions and identification with the community increase their intention to share assets.

This study distinguishes asset suppliers from consumers to clearly understand the factors that influence the intention to provide underused assets. The research findings can help companies participating in the sharing economy to induce people to share.

In this paper, the heterogeneity of the linkages among financial development, productivity and growth across income groups is emphasized.

An empirical analysis is conducted with an illustrative sample of 130 economies over the period 1991–2019 and classified into four subsamples: Organisation for Economic Co-operation and Development (OECD), developing, least developed and net food importing developing countries. Forecast error variance decompositions and panel vector auto-regressive estimations are computed, with insightful findings.

Higher levels of output stimulate the economic development in the agricultural sector, mainly via the productivity channel and, in the most developed economies, also through access to credit. Differently, in developing and least developed economies, the role of access to credit is marginal. The findings have practical implications for stakeholders involved in the planning of long-run investments. In less developed economies, priorities should be given to investments in technology and innovation, whereas financial markets are more suited to boost the development of the agricultural sector of developed economies.

The authors conclude on the credit–output–productivity nexus and contribute to the literature in (at least) three ways. First, they assess how credit access, agricultural output and agricultural productivity are jointly determined. Second, they use a novel approach, which departs from most of the case studies based on single-country data. Third, they conclude on potential causality links to conclude on policy implications.

The purpose of this study is to review and synthesise recent studies in the sharing economy literature and identify the knowledge gap and future opportunities for hospitality and tourism researchers.

The study commences by introducing sharing economy models and strategic frameworks for profitable service enabler performance. Following this, it identifies emerging overarching theories (e.g. complexity theory, social exchange theory, norm activation model, and value co-creation) and some emerging themes (i.e. trust and reputation, disruptive behaviour, choice and segmentation, pricing strategies, socially excluded consumers, personality and satisfaction) in current hospitality and tourism studies from top-tier journals.

The findings of the study suggest new paths for advancing theoretical and practical implications for hospitality and tourism studies.

The themes, models and overarching theories reviewed in this study are relevant and insightful across the fulcrum of hospitality and tourism research. It offers several useful guides for practitioners and academics to trace relevant literature on different aspects of sharing economy and perceptibly highlight the gaps in existing studies.

The paper provides new directions to broaden interdisciplinary and multidisciplinary approaches undertaken by scholars within both the field of hospitality and tourism management and beyond.

As sharing economy has become increasingly popular, researchers from various disciplines begin to pay more attention to this important phenomenon. However, the current literature is fragmented and lacks a framework to integrate previous studies and guide future research. This study aims to systematically review the literature to better understand what one knows and what one need to know about sharing economy and provide a road map for future research in the context of sharing economy.

A systematic review was conducted with EBSCO and science direct database. In total, 91 studies were identified.

The review shows that previous studies focus on different stakeholders, including consumers, peer service providers, platform providers, and competitors. The authors further identify the main topics and limitations of the literature (integrated into a framework) and provide possible directions for future studies. For example, the authors find that few studies have examined individual and technical factors. The findings also show that consumers’ other activities and outcomes have received little attention. To address these limitations, future studies that examine how individual and technical characteristics influence sharing economy’s usage intention/behaviors are suggested. The authors also suggest future studies to explore other activities during the process of sharing economy services.

The framework and directions provided can further the sharing economy research by addressing important gaps in the current literature.

This review identifies many opportunities for researchers to better understand the phenomenon of sharing economy.

In this study, the authors examine how organizational-, systems- and interpersonal-level trust may be required for a smooth functioning of the firms in the sharing economy (SE). The research objective is to explore the trust-building mechanisms of Airbnb, a leading SE organization, and its aim to foster generalized trust. An investigation of the Airbnb's promotion of different trust-building mechanisms will allow to evaluate their effectiveness in how they can help overcome scepticism and distrust between the transacting parties. Consequently, the authors can develop a unique theoretical perspective on generalized trust in SE environments and better understand any trust-related barriers preventing SE transactions.

The authors employ a case study approach to investigate the research questions with the aim to fully understand the abstract and complex nature of trust. They focus on Airbnb as the company enjoys a leading market position, being a sharing economy firm. Moreover, the personal nature of accommodation sharing, which is the business of Airbnb, increases users' trust requirements, and so the company must take active steps to promote trust between the transacting parties. The authors adopt thematic analysis to execute the data analysis of the study's findings, which are derived from emergent themes and directed by the research objectives and relevant literature.

The results show that users of Airbnb are concerned about the danger of opportunistic hosts, although they are primarily motivated to use the company's services due to its economic benefits. Nevertheless, the success of Airbnb platform stems from the trust that the company has succeeded in establishing among its users, in particular interpersonal trust. Analysis reveals that generalized trust is fostered at an interpersonal level in the form of peer reviews, at an organizational level in terms of brand familiarity and at a systems level in regards to interface design.

The authors advance the argument that confidence to transact in the social economy stems from a combination of three levels of trust, including organizational-, systems- and interpersonal-level trust. These findings contribute to the body of trust research in information technology and people literature from its unique investigative setting, whilst simultaneously strengthening the primarily speculative research on SE with in-depth empirical evidence.

The purpose of this paper is to re-establish the role of Airbnb platform in the contemporary tourism destination management. Given the fact that sharing economy is mega-trend with various impacts at any destination, the paper’s purpose is to underline that sharing economy platforms, such as Airbnb, has a different impact on each stage of destination’s life cycle. Given this, a more effective strategy and policies plan should be deployed and implemented, expanding the benefits of multiplying and accelerating effects on local economy.

The neologisms of “Over-tourism” and “Tourism-phobia” and the growing conflicts between locals and tourist, along with various collateral implications in local economy, were the initial incentive to focus on the subject. The methodology was based on the critical approach of regulatory measures taken in destinations with different characteristics.

Findings indicate that general and nationwide restrictions on Airbnb are often unfounded, mainly based on bias against its impact on traditional hotels and local lifestyle preservation, rather than concrete and objective impact measurements.

A primary qualitative and quantitative research should follow the concept of association between destination’s life cycle and sharing economy applications, for authorities to form the appropriate regulatory framework.

The paper associates the implications of sharing economy with the stages of destinations life cycle, underlying that measures need to be customized to the specific characteristics of each destination.