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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.

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.

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.

This study aims to provide a cutting-edge evaluation of the sharing economy's impact within the realm of tourism and hospitality. The primary objectives guiding this research are as follows: to uncover the prevalent discussions and debates within the tourism and hospitality sector concerning the implications and effects of the sharing economy on urban destinations; and to analyse how scholarly inquiries and empirical investigations have contributed to a comprehensive comprehension of the intricate theoretical foundations and practical intricacies inherent in the sharing economy. This exploration takes place within the extensive expanse of existing literature.

The study used the non-conventional method for data mining. An artificial intelligence (AI) tool called www.dimensions.ai was used to mine data between the year 2002 and 2021. After which the data was analysed, using Citespace software that assisted in building themes for answering the research questions.

The sharing economy has multifaceted implications for rural and urban destinations. For instance, the findings demonstrated that emotional solidarity fosters community bonds between tourists and residents, enhancing authenticity. While, management firms optimise short-term rentals, boosting revenue and occupancy rates despite capped at 20%. It further demonstrated that the sharing economy disrupts traditional accommodations, especially hotels, impacting rural and urban destinations differently based on location and regulatory flexibility. Technological advancements would shape the digital future, transforming the resource in sharing and connectivity in urban settings.

Management firms or agents significantly enhance property facilities, revenue and occupancy rates. Properties managed by professionals perform better in terms of revenue and occupancy; furthermore, traditional accommodations need innovative strategies to compete with sharing economy platforms. Policymakers must consider location-specific regulations to balance sharing economy impacts. Embracing technological advancements ensures urban destinations stay relevant and competitive.

Emotional solidarity fosters bonds between residents and tourists, contributing to a sense of community. Management firms contribute to local economies and stability. However, Airbnb's impact on traditional accommodations raises concerns about the effect on residents and communities.

The study incorporates classical sociology theory to understand emotional solidarity and extends the concept of moral economy to guide economic behaviour in the sharing economy. The analysis also underscores the influence of technological trends such as mobile technology, Internet of Things, AI and blockchain on sharing practices in reshaping existing theoretical frameworks in the sharing atmosphere. Furthermore, the co-creation of value theory highlights collaborative interactions between hosts and guests, shaping the sharing economy experience. Consumer segmentation and choice theories shed light on sharing economy dynamics. Institutional and location-based theories provide insights into regulatory and location-specific impacts.

This research contributes by comprehensively exploring the multifaceted implications of the sharing economy on a tourist destination. It delves into emotional solidarity, management firm roles and location-specific impacts, enriching the understanding of the sharing economy's effects. The application of co-creation of value theory and examination of platform technologies offer fresh perspectives on value creation and user engagement. The study's focus on practical dimensions guides stakeholders in optimising the benefits and addressing challenges posed by the sharing economy in urban contexts. The exploration of moral economy and its relevance to the sharing economy provides a novel perspective, while the examination of technological influences on sharing practices contributes to understanding the digital future of 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.

Recent literature on customer engagement has introduced the concept of “actor engagement,” which serves as the foundation for this study. The study aims to investigate the formation of engagement and engagement's impact on the performance of sharing economy platforms in an international context.

The study analyses unstructured data from 145,434 service providers and 1,703,266 customers on Airbnb across seven countries (USA, Canada, United Kingdom, Australia, South Africa, China and Singapore). Machine learning techniques are used to measure actor engagement, and the research model is tested using structural equation modelling (SEM).

The findings suggest that actor engagement, encompassing the reciprocal relationship between customer engagement and service provider engagement, has a significant impact on platform performance. The moderator analysis highlights the role of cultural differences in the relationship between customer engagement and service provider engagement and between actor engagement and platform performance. Specifically, the study reveals that actor engagement exhibits a more pronounced impact on platform performance in Western countries (such as the USA, Australia and the UK), compared to Eastern countries (such as China and Singapore).

The analysis of the conceptual model is based on the utilisation of behavioural data obtained from the Airbnb website. Due to the nature of the available data, proxies are employed as measures for variables such as platform performance.

This research is amongst the first to provide empirical evidence for actor engagement formation and the function's role in platform performance in the sharing economy. The global nature of Airbnb as a platform facilitates the investigation of country-level factors, specifically cultural values, across seven diverse countries and highlight differences from business to customer (B2C) business models.

The purpose of this study is to demystify the authenticity dimensions of wine experience with the locally guided tour in the meal-sharing economy, drawing on travellers' online reviews at Withlocals for French locally guided wine tours.

The qualitative research approach was performed through the thematic analysis of 940 online reviews from Withlocals. The coding phase was completed based on a three-step coding process (i.e. open, axial and selective coding), as all reviews that were gathered were related to locally guided wine tours rather than only wine-sharing activities.

The findings of this study demonstrated four interrelated authenticity dimensions: the taste of terroir, local atmosphere, oenological knowledge and local insight. The results of this study also notably showed that all reviews were primarily positive; travellers expressed their satisfaction with wine tours at Withlocals and often mentioned their re-purchase intentions as well as advising wine tours in the meal-sharing economy.

Several worthy theoretical and practical implications were discussed for local tour guides to improve their tour quality more authentically. The results also demonstrate that locally guided wine tours in the meal-sharing economy were regarded as a multidimensional activity that provides a better discovery of a wine destination.

Despite the large volume of generic meal-sharing economy experience studies, the authenticity experience of the locally guided wine tours has been surprisingly omitted by scholars. Therefore, this study contributes to the sharing economy literature through wine experience by addressing the authenticity dimensions of the locally guided wine tours in the meal-sharing economy.

The growing popularity of gig and sharing economy changes not only consumption models but also employment patterns. This study aims to analyze the potential entrepreneurial nature of gig and sharing economy initiatives. As such, the authors compare the entrepreneurial intentions of gig and sharing economy workers to the general population. Further, the authors consider commonalities and differences in terms of the driving forces of both intentions to start-up and participation in gig and sharing economy, treating them as connected phenomena. Finally, the authors look into gig and sharing economy experience as a direct antecedent to entrepreneurial intentions formation.

The empirical settings for this study are derived from the sample of 1,257 individuals who participated in the Global Entrepreneurship Monitor Adult Population Survey 2018 in Russia. Methodologically, the authors rely on analysis of variance-test and binary logistic regression analysis to test the study hypotheses.

The results indicate that entrepreneurial intentions of gig and sharing economy workers are significantly higher when compared to the general population. In terms of antecedents to gig and sharing economy participation and startup intentions, similar effects of age, entrepreneurial social capital, prior entrepreneurial exit and intrapreneurial experience were revealed, while perceived self-efficacy was associated only with engagement into digital platforms. Finally, gig and sharing economy experience showed significant and positive effect on entrepreneurial intentions formation.

This study represents a first substantive effort to systematize antecedents to gig and sharing economy participation through an entrepreneurship perspective. Beyond that, this research adds to the contextualization of entrepreneurship literature stream, further defining the mechanism of entrepreneurial intentions formation in empirical settings of an emerging market with a relatively low propensity of population to develop intentions to start-up.