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Digitally intermediated peer-to-peer exchanges have accelerated in occurrence, and as a consequence, they have introduced an increased pluralism of connotations. Accordingly, this paper aims to assess user perceptions of the interplay between the sharing, access, platform, and community-based economies.

The sharing, access, platform, and community-based economies have been systematically tracked in the social media landscape using Social Media Analytics (SMA). In doing so, a total material of 62,855 publicly posted user-generated content concerning the four respective economies were collected and analyzed.

Even though the sharing economy has been conceptually argued to be interlinked with the access, platform, and community-based economies, the empirical results of the study do not validate this interlinkage. Instead, the results regarding user perceptions in social media show that the sharing, access, platform, and community-based economies manifest as clearly separated.

This paper contributes to existing literature by offering an empirical validation, as well as an in-depth understanding, of the sharing economy's interlinkage to other economies, along with the extent to which the overlaps between these economies manifest in social media.

Using the case of Foodora, this paper aims to assess the impact of technological innovation of an emerging actor in the sharing economy through stakeholders’ perceptions in the market and non-market domains.

Using a methodological approach called social media analytics (SMA) to explore the case of Foodora, 3,250 user-generated contents in social media are systematically gathered, coded and analysed.

The findings indicate that, while Foodora appears to be a viable provider in the marketplace, there is mounting public concern about the working conditions of its employees. In the market domain, Foodora manages its status as an online delivery platform and provider well, but at the same time, it struggles with its position in the non-market sphere, suggesting that the firm is vulnerable to regulatory change. These insights highlight the importance of simultaneously exploring and balancing market and non-market perceptions when assessing the impact of disruptive innovation.

This study offers originality by providing an integrative approach to consider both the market and non-market domains. It is also novel in its use of SMA as a tool for knowledge acquisition and management to evaluate the impact of emerging technologies in the sharing economy.

This article explores the various stakeholders' perceptions of the ways digital work is organised within the sharing economy and the social implications of the transformation of work.

Applying social media analytics (SMA) concerning the sharing economy platform Foodora, a total of 3,251 user-generated content was collected and organised throughout the social media landscape in Sweden over 12 months, and 18 stakeholder groups were identified, discussing digital work within seven thematic categories.

The results show that the stakeholder groups in the Swedish context primarily expressed negative views of Foodora's way of organising digital work. The social media posts outlined the distributive and procedural justice related to the working conditions, boycott and protests and critical incidents, as well as the collective bargaining of Foodora.

By utilising a novel SMA method, this study contributes to the extant literature on the sharing economy by providing a systematic assessment concerning the impact of the sharing economy platform on the transformation of work and the associated social consequences.

The purpose of this paper is to explore the effects of fashion weeks on brand constellations of participating fashion companies in social media.

The study analyses how brand constellations take form for seven Swedish fashion companies before, during and after Fashion Week Stockholm. In total, 3,449 user-generated contents referring to the sampled brands were collected and analysed.

On average, brand constellations of participating companies are increasingly incorporating other participating brands as a result of the fashion week. Based on the presented results, four brand constellation outcomes for participating fashion companies are identified: brand constellation amplification, concentration, division and dilution.

As this paper is focussed on the Swedish market, additional results from fashion weeks taking place in other cities would be beneficial to verify the four brand constellation outcomes.

The results question the resilience of professionally curated brand constellations due to the emergence of user-driven constellations that also shape the position of fashion brands. Therefore, this development can potentially have a considerable impact on often carefully orchestrated brand positioning strategies executed by fashion companies.

Digitally fuelled interdependences of brand constellations by professionals and consumers attest to the dilution of borders between consumers and producers.

This paper contributes to the field of fashion marketing and management by identifying four different brand constellation outcomes in social media for participating fashion companies as a result of fashion weeks and how to managerially handle these respective outcomes.

The purpose of this paper is to add to the literature by exploring how curvilinear manifestations of user engagement can be explained in the setting of fashion-oriented social media.

This study analyses how ten Swedish fashion brands have been integrated in expressions of user engagement in social media. In total, a material of 11,173 user-generated contents from different types of social media applications over a period of 12 weeks was collected and analysed.

The results of this paper show that user engagement fluctuates considerably over time in social media. It also shows that the degree of engagement varies between different forms of social media applications.

This study contributes to the literature on fashion marketing and user engagement by adding empirical support for the suggestion that expressions of engagement found in social media are curvilinear in their nature. It also concludes that highly involved and engaged users, instead of being brand activists, tend to be variety seekers in the studied setting that when taken together represents an emerging managerial challenge for the fashion industry and particularly fashion firms.

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.