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Trust plays a crucial role in overcoming uncertainty and reducing risks. Uncovering the trust mechanism in the sharing economy may enable sharing platforms to design more effective marketing strategies. However, existing studies have inconsistent conclusions on the trust mechanism in the sharing economy. Therefore, this study aims to investigate the antecedents and consequences of different dimensions of trust (trust in platform and trust in peers) in the sharing economy.

First, we conducted a meta-analysis of 57 related articles. We tested 13 antecedents of trust in platform (e.g. economic benefits, enjoyment, and information quality) and eight antecedents of trust in peers (e.g. offline service quality and providers’ reputation), as well as their consequences. Then, we conducted subgroup analyses to test the moderating effects of economic development level (Developed vs Developing), gender (Female-dominant vs Male-dominant), platform type (Accommodation vs Transportation), role type (Obtainers vs Providers), and uncertainty avoidance (Strong vs Weak).

The results confirm that all antecedents and consequences significantly affect trust in platform or peers to varying degrees. Moreover, trust in platform greatly enhances trust in peers. Besides, the results of the moderating effect analyses demonstrate the variability of antecedents and consequences of trust under different subgroups.

This paper provides a clear and holistic view of the trust mechanism in the sharing economy from an object-based trust perspective. The findings may offer insights into trust-building in the sharing economy.

The sharing economy has evolved as a result of the diffusion of information and communication technology and facilitates collaborative consumption and production otherwise known as value co-creation. The present research aims to explore the consumer responses to value co-creation in sharing economy such as satisfaction, brand preference and enduring buyer–platform relationships, amid consumer's CSR concerns.

Drawing on the sharing economy and value co-creation literature and rooted in the stimulus-organism-response framework, an online panel data provider was employed to recruit 393 actual sharing economy consumers from the United States. Empirical analyses are performed using structural equation modeling through Amos, version.27.

Findings confirm that value co-creation intentions contribute to consumers' satisfaction, brand preference and sustainable social relationships in the sharing economy. As expected, heightened concerns of corporate social responsibility (CSR) led to decreased consumer satisfaction with the sharing economy platform.

The study contributes to the digital sharing economy literature by emphasizing the role of CSR perceptions for building long-term relationships (buyer–platform relationships) where value co-creation is crucial.

This research paper aims to provide conceptual clarity for marketplaces within the lateral exchange market framework. The advances in digital technologies have been critical to the growth of new marketplaces and forms of exchange. While there are many different names and manifestations of these marketplaces, the common thread is they all require digital platform intermediation. These marketplaces are referred to by a variety of names and characteristics, and a clear consensus has yet to be achieved.

This research uses a conceptual approach rooted in the marketing literature.

This study differentiates and defines the sharing economy, collaborative consumption and access-based consumption, as well as introduces the concept of liquid ownership – all under the LEM framework. Defining characteristics for each marketplace are noted to present a consistent classification of the focal concepts for the advancement of research and theory.

As the number and types of lateral exchange marketplaces continue to grow, researchers need to have a clear delineation of the concepts. This research seeks to provide clarity on the disparate literature streams and introduces the concept of liquid ownership to allow for the advancement of research and theory surrounding these forms of consumption.

Understanding existing marketplaces is vital for online platforms as they develop new offerings and differentiate themselves in the marketplace. Additionally, opportunities for traditional businesses abound as they pursue new market opportunities and adapt to changing technologies. Thus, research questions concerning consumers and platform managers are presented.

This research contributes conceptual clarity on elements commonly associated with the sharing economy while expanding it to include elements found in LEMs. The concept of liquid ownership is also presented to reflect the evolving consumption landscape. Research opportunities and questions are provided to guide future scholarly work.

Different information sharing mechanisms and online platform information sharing to different charging models are compared and analyzed.

This paper uses the Stackelberg game model to study the demand information sharing and pricing decisions.

The results show that: (1) the retailer's pricing strategy is the highest when both of them obtain information, while the manufacturer's pricing strategy is affected by the related attributes of different products, such as the sensitivity of consumers to product prices; (2) in the online platform sales model, the demand information data sharing owned by the online platform can bring more expected profits to the whole supply chain and the members of the supply chain, and the higher the accuracy of the information, the higher the expected profit; (3) when the cost of obtaining demand information is zero, that is, the online platform shares the information data about market demand free of charge, the retailer and manufacturer tend to obtain information; (4) for the online platform, charging a certain fee can achieve higher expected profits than free sharing.

Based on the single platform online sales model, this paper uses the Stackelberg game model to study the demand information sharing and pricing decision of a manufacturer and a retailer selling products through the same online platform.

The paper seeks to examine empirically the potential dilution and enhancement of brands that share product platforms with other brands.

Study 1 uses two real platform‐sharing examples from the automobile and consumer electronics industries in an experimental setting. Study 2 uses conjoint analysis in the same two industries to study the impact of platform‐sharing on preference and willingness to pay for a unique brand.

Study 1 finds that sharing a platform with an upscale brand is preferable to sharing with a downscale brand, although results are mixed on whether a unique‐to‐brand platform is preferred to sharing with an upscale brand. Study 2 finds that unique‐to‐brand platforms are preferred to any type of platform sharing, and calculates that this preference is worth about 6‐10 per cent of the product's retail price.

Both studies use student samples, although all product classes and brands tested are popular with this demographic, which is a key target market for the tested industries.

Platform sharing is an increasingly popular product development strategy that offers great cost savings in product design, manufacturing and servicing. The findings suggest that managers also need to carefully consider the potential cost to a brand's equity when calculating the financial implications of platform sharing.

This paper brings together two areas that are usually not studied together, i.e. product development and brand equity management, and finds that choices made in the former can have important implications for the latter.

This paper aims to empirically examine the brand impact of intra‐brand platform sharing.

The study uses two real platform‐sharing examples from the automobile and consumer electronics industries in an experimental setting.

The study finds that intra‐brand platform sharing caused no damage to brand equity in either setting.

The study uses a student sample, although all product classes and brands tested are popular with this demographic which is a key target market for the tested industries. The study also tests intra‐brand platform sharing where the price differences are 20 percent between higher and lower level platform applications, and the findings may not hold for larger price gaps.

Platform sharing has been shown to damage brand equity in inter‐brand applications, but the current findings suggest that intra‐brand platform sharing is safe for the brand, and allows managers to also benefit from the cost savings in product design, manufacturing and servicing that have made the technique popular.

The paper builds on earlier platform‐sharing research and shows where the technique can be safely practised from the standpoint of protecting brand equity.

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 objective of this contribution is to pinpoint the practices of users' interactions with sharing economy platforms in Russia, as well as explore the source of motivation to use such platforms on the three cases of sharing economy platforms in Russia: Darudar [Gift-to-gift] (sharing goods), Bank Vremeny [Timebank] (sharing time and services) and Couchsurfing (sharing accommodation and leisure).

Empirical data were gathered from 25 in-depth interviews conducted for active users of the platforms and ethnographic observations of users' offline meetings as well as digital observations.

The results reveal that participants of the platforms tend to establish their own rules and norms of interaction, thus, fostering social connection. Findings suggest that users of sharing economy platforms are driven by the potential of minimising transaction costs and intrinsic motivation, such as getting experiences which have no market alternatives, upcycling and disposal of belongings, self-promotion and self-realisation.

In this study, sharing as based in the sharing economy is conceptualised as a separate principle of resource allocation. The theory was applied to the empirical material of three Russian platforms, which has not been done previously in the paradigm of sharing. The current literature on the sharing economy is largely switched to the for-profit North American platforms, while case studies from other settings are lacking. This article aims to fill this gap by providing insights into non-profit platforms' operation in Russia.

The purpose of this paper is to identify and delineate research directions that guide future empirical studies exploring how engagement platforms facilitate value co-creation and actor engagement in the context of the sharing economy.

The authors adopt a midrange theorizing approach with service-dominant logic as the integrating meta-theoretical perspective to develop a theoretical framework about service platforms, engagement platforms, and actor engagement in information communication technology (ICT) mediated environments. The authors then contextualize the framework for the sharing economy.

The authors introduce 20 unique research questions to guide future studies related to service ecosystems, engagement platforms, and actor engagement practices in the context of the sharing economy.

The sharing economy is an emerging phenomenon that is driven by the development and proliferation of engagement platforms. The engagement platform concept therefore provides a novel perspective for exploration of how ICT can be utilized to facilitate value co-creation and engagement amongst interdependent economic actors in a service ecosystem.

The purpose of this paper is to guide future academic research, rather than managerial practice. Future research based on the framework can help guide decision-makers to implement and use engagement platforms more effectively.

This paper offers new insight into the important intersection of ICT and service research, and guides future studies exploring the role of engagement platforms in the context of the sharing economy.