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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.

This chapter addresses the two important themes that we believe characterise how the platform-based gig economy operates. The first of the two themes explores the shifting boundaries of the triangular business model and its place within the wider, evolving capitalist structure. The triangular business model is the foundation of the platform-based gig economy and consists of the digital platform, the producer/worker and the end consumer. The digital platform acts as the intermediary and provides a market for exchange of goods and services between the workers and the end consumers. The fluidity of the triangular relationship has left the platform-based gig economy beyond the reach of the traditional neo-liberal regulatory system leading to the blurring of employee and employer relations. The second theme is based on the exploration and application of the Marxist concept of surplus value creation and its appropriation within the gig structure. Here, the authors seek to show the exploitation of the worker as a participant in the triangular business model. Given that the worker bears the majority of the entrepreneurial risk and provides capital they ought to receive a proportion of the surplus value created from the transaction. The authors have established the increasing dominance of platforms within the triangular business model and the enhanced scope for exploitation of workers in form of poor remuneration standards due to employee status ambiguity and the appropriation of a disproportionate amount of surplus value flowing to the platform owners.

We witness rising tensions between online gig-economy platforms, incumbent firms, regulators, and labor unions. In this chapter, we use the framework of institutional logics as an analytical lens and scheme to understand the fundamental institutional challenges prompted by the advent of the online gig economy. We view gig-economy platforms as corporations that organize and self-regulate markets. In doing so, they span two parallel markets: the market for platforms competing to provide intermediation services and the market for the self-employed competing on platforms to provide peer-to-peer services. Self-regulation by platforms also weakens the traditional roles of the state. While the corporation and market logics empower the platform, they weaken self-employed suppliers as platforms’ design constrain suppliers to grow into a full-fledged business by limiting their entrepreneurial freedom. At the same time, current labor law generally does not classify suppliers as employees of the platform company, which limits the possibility to unionize. The current resolutions to this institutional misalignment are sought in “band aid solutions” at the level of sectors. Instead, as we argue, macro-institutional reform may be needed to re-institutionalize gig work into established institutional logics.

This chapter will introduce the concept of the gig economy. It begins with a brief discussion of technological changes and their impact on the workforce and labour market, demonstrating how the trend shifts towards the gig economy. It then examines the trends that are influencing this transformation and discusses various perspectives and the attractiveness of the gig economy for workers and businesses. This chapter will also discuss the gig economy, platform economy, digital platform, and gig worker categories. It concludes with a brief discussion of some of the opportunities, issues, and challenges associated with the gig economy.

This work examines the intersection between traditional human resource management and the novel employment arrangements of the expanding gig economy. While there is a substantial multidisciplinary literature on the digital platform labor phenomenon, it has been largely centered on the experiences of gig workers. As digital labor platforms continue to grow and specialize, more managers, executives, and human resource practitioners will need to make decisions about whether and how to utilize gig workers. Here the authors explore and interrogate the unique features of human resource management (HRM) activities in the context of digital labor platforms. The authors discuss challenges and opportunities regarding (1) HRM in organizations that outsource labor needs to external labor platforms, (2) HRM functions within digital labor platform firms, and (3) HRM policies and practices for organizations that develop their own spin-off digital labor platform. To foster a more nuanced understanding of work in the gig economy, the authors identify common themes across these contexts, highlight knowledge gaps, offer recommendations for future research, and outline pathways for collecting empirical data on HRM in the gig economy.

Despite a growing body of research focusing on the dark side of sharing economy development, arguments are fragmented and incomplete. This study aims to address the gap by integrating existing viewpoints based on a provider’s perspective.

This study conducted a bibliometric analysis using text mining and clustering algorithm techniques to measure the scope of scientific output on this topic and identify the main research themes.

Through the bibliometric analysis, this study developed an integrative framework based on the platform providers’ internal management issues and external conflicts with consumers, society, government regulations and traditional business. It also identified significant gaps within each research theme and proposed a future research agenda.

Sharing economy development has not yet been fully understood and regulated, leading to unprecedented challenges to existing business systems. The study addresses knowledge gaps and advances the understanding of the dark side of the sharing economy based on the provider’s internal management and interplay with external forces. It offers a roadmap for future research to advance understanding of the “hidden” dark side of the sharing economy.

Drawing on the case of the recent Belgian law on the “sharing economy,” this chapter develops a critique of the dominant discourse of platform-mediated work as fostering the inclusion of individuals belonging to historically underrepresented groups (e.g., women with caring roles, people living in remote areas, individuals with disabilities, etc.) into the labor market. Exempting platform-mediated employment from social contributions and substantially lowering taxation, the law facilitates platform-based crowdsourcing firms’ predatory business model of capital valorization. The author argues that this business model rests precisely on the externalization of the costs of the social reproduction of this “diverse” labor through its precarization. These costs are not only externalized to individual workers, as often held. They are also externalized to the Belgian welfare state, and thus ultimately both to taxpayers and firms operating through classical business models, which fund the welfare state through taxation and social security contributions. For this reason, the debate surrounding platform-based employment might paradoxically provide a historical opportunity for recovering the Belgian tradition of social dialog between employers’ associations and trade unions. The author concludes by identifying key foci for action to ensure a better protection of workers of crowdsourcing firms including classifying them as employees, revising the conditions of access to social security protection, inclusive union strategies, the leveraging of technology to enforce firm compliance, and fostering counter-narratives of firms’ accountability toward society.

This paper aims to explore the implications of algorithmic management on careers and employment relationships in the Nigerian gig economy. Specifically, drawing on labour process theory (LPT), this study provides an understanding of the production relations beyond the “traditional standard” to “nonstandard” forms of employment in a gig economy mediated by digital platforms or digital forms of work, especially on ride-hailing platforms (Uber and Bolt).

This study adopted the interpretive qualitative approach and a semi-structured interview of 49 participants, including 46 platform drivers and 3 platform managers from Uber and Bolt.

This study addresses the theoretical underpinnings of the LPT as it relates to algorithmic management and control in the digital platform economy. The study revealed that, despite the ultra-precarious working conditions and persistent uncertainty in employment relations under algorithmic management, the underlying key factors that motivate workers to engage in digital platform work include higher job flexibility and autonomy, as well as having a source of income. This study captured the human-digital interface and labour processes related to digital platform work in Nigeria. Findings of this study also revealed that algorithmic management enables a transactional exchange between platform providers and drivers, while relational exchanges occur between drivers and customers/passengers. Finally, this study highlighted the perceived impact of algorithmic management on the attitude and performance of workers.

The research presents an interesting case study to investigate the influence of algorithmic management and labour processes on employment relationships in the largest emerging economy in Africa.

This article examines the nature of service provision in the platform-based collaborative economy from the perspective of entrepreneurship theories. It departs from a knowledge gap about the individual and contextual determinants of service provision through digital platforms. By exploring these determinants for the service provision in two main sectors of the collaborative economy, transportation and accommodation, the study provides a first conceptual introduction of these activities and their nature for the existing entrepreneurship research.

The analysis is based upon Eurobarometer microdata (2018), covering 28 European countries with about 27,000 observations, and uses a seemingly unrelated Probit model.

The likelihood of service provision through platforms in the collaborative economy is highest for individuals aged 25–34 years but decreases continuously with age. Occupation, sex and population density of the place of residence are other relevant determinants. By contrast, the regulatory system and GDP per capita of the region are not relevant.

The findings illuminate the under-studied individual and contextual determinants related to individuals engaging with entrepreneurial activities in the collaborative economy. Future research should investigate the role of previous self-employment, skills and spatial context.

The collaborative economy is still a marginal sector in Europe that is likely to grow bigger. Particularly the young, highly educated entrepreneurial persons located in urban regions may spur this expected growth. Supporting policy measures aimed at this social stratum might foster digital entrepreneurship and contribute to growth in the digital economy.

By exploring the individual and contextual determinants for the service provision in the two main sectors of the platform-based collaborative economy, transportation and accommodation, the study provides a first conceptual introduction of these activities and their nature into existing entrepreneurship research.