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In this chapter, sharing economy, also called the gig economy, is discussed as part of the digital economy. This research analyzes the main difficulties of gig workers, and their needs will be analyzed as one of the crucial issues. This research also seeks to examine the government's role in prior economies and the sharing economy of today. In addition, existing legislation and procedures for gig workers will be compared across nations. Furthermore, some of the most important initiatives to engage with the sharing economy are also investigated. Methods such as “word frequency query” and “exploration diagrams,” which are supported by NVivo qualitative research software, are utilized in order to accomplish this research. In this study, the interview method occurs with an expert that is considered in order to observe both the government's stance on the sharing economy and its practical effects. The research discloses that government engagement in the sharing economy is inevitable, and the adoption of existing policies is challenging.

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 impact of the sharing economy on traditional businesses has largely been analysed from both company and consumer perspectives. In the case of the latter, scholars have produced a rich field of research into different aspects of consumer behaviour and the way it is reshaped in these alternative consumption patterns. This study aims to provide a systematization of these studies and to develop a model for consumer behaviour in the sharing economy.

Following a three-step approach, a systematic literature review has been performed to analyse and classify 108 scientific papers about consumer behaviour in the sharing economy.

Four main research topics came up from the analysis: sharing approach, consumption pattern, post-purchase behaviour and sustainability. Basing on these clusters, the double-loop model of consumer behaviour in the sharing economy is presented and discussed.

The research allows to provide scholars and practitioners with the state of the art on consumer behaviour in sharing economy and to draft future research avenues to orient research and practice in the field.

The study examines the influence of various congruity factors (economic, safety and Health, hedonic, and functional) on tourists' satisfaction with sharing economy-based services.

A single cross-sectional design is used in the study, with 513 travellers surveyed directly at three different tourist destinations in India. The partial least squares-structural equation modelling approach is used to analyse the data.

The research shows that congruity factors significantly influence tourists' satisfaction with sharing economy-based services. Moreover, satisfaction is strongly associated with recommendation intention for these services and customer loyalty. Additionally, the intention to recommend directly leads to increased customer loyalty.

The results offer pertinent insights for stakeholders in the sharing economy, including tourism marketers, policymakers and corporations. Aligning services with the identified congruity factors can enhance user satisfaction, boost recommendation rates and foster long-standing customer loyalty.

This study stands out for its thorough investigation into how congruity factors influence tourist satisfaction within the context of the sharing economy. Additionally, by focusing on specific demographic differentiators, such as age (gen Z or old gen) and gender (male or female), the study provides a nuanced understanding that enriches the existing body of knowledge.

The rise of the sharing economy has brought with it a huge variety of new organizational forms and innovative business models. An integral part of these forms and models is the communities and members of sharing-economy organizations, since they significantly contribute to value creation for these organizations. Relying on community member contributions, though, is a challenge for these organizations because fluid community boundaries and voluntary membership makes it difficult to coordinate their activities. This chapter investigates the under-researched question of how sharing-economy organizations govern the actions of their community members. Following an abductive approach that included site visits, participant observations, and 67 interviews, we develop a framework that illustrates four different types of governance: pure market, pure clan, market-hierarchy hybrid, and clan-hierarchy hybrid. The framework explains differences among these types depending on the main activity (providing resources or producing jointly) and the primary aim of the community (business orientation or social orientation). This study thus contributes to research on both governance in general and to sharing-economy organizations in particular by capturing the variety and diversity of community forms, governance practices, and business-model configurations.

The sharing economy is a collection of economic and social activities where participants of the community share properties, resources, time and skills across online platforms. In this chapter, we start by identifying all the stakeholders and their characteristics within such an ecosystem. We then categorise factors leading to success in the sharing economies where the existence of these platforms has disrupted traditional businesses. To do so, demographic information about the community participants, specifications of the business models, enablers of the ecosystem, growth drivers and hindrance factors are explored in detail. From there on, we examine whether such success factors are applicable in the Turkish business environment where Internet retailing is in its infant stages, trust among people is quite low and economic welfare is lower than that of more developed economies. Finally, an assessment of the sharing economy landscape in Turkey is provided at the end of the chapter.

To outline the future of the sharing economy in Turkey, success indicators in the Turkish market are compared and contrasted with those of the United States, the United Kingdom and Brazil. A quick analysis reveals that despite its huge potential, Turkey still has not reached its full capacity in Internet usage, online or mobile retailing. That said, notwithstanding the low levels of trust among people, Turkey has a great potential of sharer base, given the demographic structure of its citizens. Recommendations for policy makers, incumbent firms, the sharing economy startups and marketers are provided in the chapter.

Is the sharing economy a field? Answering this question is crucial to understanding how sharing organizations look and behave, as well as how the sharing economy might develop. In this chapter, the authors applied two different field conceptions – organizational field and issue field – as a starting point for an explorative empirical analysis. To capture both field concepts, the authors collected relational data and data on organizations’ self-representations to see how organizations engaged in the debate on the sharing economy relate to each other. The observed network of organizations suggests that the sharing economy is an issue field. In addition, the core of this network shows the relational structure of an organizational field. Surprisingly, it is not an organizational field of the sharing economy. Instead, it is a field of organizations heavily engaged in proselytizing new organizational forms that will change other fields. What the authors observed is a new field configuration – the authors call it a disruptive field – that is, less inward-oriented than other fields but much more engaged in changing other fields’ structures and dynamics. With these insights, the authors contribute to institutional research on field configuration and shed light on the phenomenon of the sharing economy and its potential development.

Over the last years, and under the umbrella of the “sharing economy,” various new social practices and novel business models have been established worldwide. Such practices and models are perceived both as opportunity and challenge for existing (urban) public governance regimes. It is in this sense that the sharing economy has become a contested issue and regularly provokes bold governance responses. However, local governing authorities first need to interpret, negotiate, and establish what exactly is “at issue” in order to (re-)act adequately. While such “politics of signification” are well-studied, for instance, in social movements and public media discourse, research on the concerted framing activities of public administrations as well as on the strategic work that sets the stage for public policy-making is relatively sparse – and entirely lacking for the context of the sharing economy. In this chapter, the authors look behind the scenes of the policy-making in the City of Vienna, Austria. The empirical findings unearth six distinct mechanisms –“delimiting,” “negotiating,” “detailing,” “linking,” “justifying,” and “situating” – that are strategically applied to shape the “Viennese way” of governing the sharing economy. This research develops an in-depth understanding of what the authors conceptually dub “strategic issue work”: the manifold efforts that lead to, and underlie, in this case, the policy-making of a local government when it tries to come to terms with the governance challenges of the sharing economy.

We are currently witnessing a new wave of the digital economy. A prime example is the sharing economy where an organization operates a platform for its online community, the sum of individuals who interact to exchange goods and services. The sharing economy blurs several boundaries of economic life – a fact that extant theory on platform organizing has yet paid little attention. We argue to consider two aspects of the sharing economy and revisit related theory to address this lacuna. First, we revive the concept of hybrid community to denote a variant of an online community that mirrors the boundary-blurring nature of the sharing economy. In a hybrid community, individuals interact both online and offline (instead of only online) and consume as well as produce. Second, we revisit the range of strategic responses suggested by extant literature to minimize the dependence of a platform organization on its hybrid community and show that the sharing economy requires management research to adapt and potentially recast existing claims.