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Through an empirical analysis of a consumption community, the purpose of this paper is to demonstrate that the theories of gift-giving, sharing and commodity exchange should not be kept separated but integrated into a unifying model.

The paper provides new evidence about Bookcrossing.com, whose members share and give books as gifts; that is, physical goods rather than digital ones as in most of the communities considered in the literature. This community is analysed with qualitative tools, such as netnography, personal interviews and participant observation.

The main result of the analysis of Bookcrossing is that gift-giving is not the only process responsible for value creation and distribution in consumption communities: sharing and commodity exchange also play a role. Furthermore, the paper provides new evidence about aspects of gift-giving and sharing that have received limited attention in the literature: collective reciprocity and anonymous sharing.

The limitations are related to the intrinsic properties of the methods employed (netnography, personal interviews and participant observation) and to the paper, which analyses only one community and one product category. The implications refer to the role of gift-giving in consumption communities and its relationships with other processes: consumer gift systems are not only gifting platforms, but they and the elements of sharing and commodity exchange need to be integrated.

The empirical evidence and implications matter for the organisation and management of collaborative consumption platforms and the way in which traditional business models could and should interact with these platforms in an increasing number of businesses.

The paper adds new evidence of and original insights into gift-giving and collective forms of exchange. Moreover, it provides managerial implications of the analysed community for the book publishing industry.

The purpose of this study is to attempt a brief presentation of book exchange practices, as these are unfolding around the world. Then, the authors focus on free exchange libraries and analyse different aspects of the phenomenon. Finally, the authors are presenting the first hesitant steps of the phenomenon in Greece, linking it with the crisis that has lately been plaguing the Greek society.

The widespread and constantly surging movement of exchange libraries has attracted thousands of fans around the world; also, it is multifaceted and constantly transforming. In this paper, the authors are attempting to charter the phenomenon generally and specifically in Greece through relevant sources and on-the-spot observation.

The authors believe that free exchange libraries will continue to multiply both globally and in Greece, and that, through this movement, the audience gives an answer to the economic crisis and the crisis of values, making yet another step in the course towards satisfying the demand for a better world.

This paper is one of the few attempts to reflect-charter the phenomenon and probably one of the first to be accomplished under a sociological spectrum.

Aims to present a background to the use of electronic resources, especially e‐books, in public libraries, which appears to threaten some basic activities that define a reading culture dependent on the print book.

There are initiatives afoot which are working to integrate e‐books into the culture and process of resource‐sharing. This paper reviews some of the issues with e‐books, and specifically how the Co‐East partnership proposes to contribute to the initiatives concerned with improving accessibility.

It is important that public libraries do take that first step in implementing an e‐books service and take care in its promotion. Their traditional role, after all, is providing the bridge between rights holders and the public and, with the advent of “disruptive technology”, this role is more crucial than ever.

An important precedent for this project has been the findings from the Essex e‐books project, and especially user feedback. Although no one was asking about e‐books, users from all age groups were curious enough to participate in the project, and forthcoming in offering their opinion, much of it positive, about the reading experience and the mobile technology.

This study aims to uncover relationships between content communities post language, such as parts of speech, and user engagement.

Analyses of almost 12,000 posts from the content community Reddit are undertaken. First, posts’ titles are subjected to electronic classification and subsequent counting of main parts of speech and other language elements. Then, statistical models are built to examine the relationships between these elements and user engagement, controlling for variables identified in previous research.

The number of adjectives and nouns, adverbs, pronouns, punctuation (exclamation marks, quotation marks and ellipses), question marks, advisory words (should, shall, must and have to) and complexity indicators that appear in content community posts’ titles relate to post popularity (scores: number of favourable minus unfavourable votes) and number of comments. However, these relationships vary according to the category, for example, text-based categories (e.g. Politics and World News) vs image-based ones (e.g. Pictures).

While the relationships uncovered are appealing, this research is correlational, so causality cannot be implied.

Among other implications, companies may tailor their own content community post titles to match the types of language related to higher user engagement in a particular category. Companies may also provide advice to brand ambassadors on how to make better use of language to increase user engagement.

This paper shows that language features add explained variance to models of online engagement variables, providing significant contribution to both language and social media researchers and practitioners.

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.

With the rapid increase in internet use, most people tend to purchase books through online stores. Several such stores also provide book recommendations for buyer convenience, and both collaborative and content-based filtering approaches have been widely used for building these recommendation systems. However, both approaches have significant limitations, including cold start and data sparsity. To overcome these limitations, this study aims to investigate whether user satisfaction can be predicted based on easily accessible book descriptions.

The authors collected a large-scale Kindle Books data set containing book descriptions and ratings, and calculated whether a specific book will receive a high rating. For this purpose, several feature representation methods (bag-of-words, term frequency–inverse document frequency [TF-IDF] and Word2vec) and machine learning classifiers (logistic regression, random forest, naive Bayes and support vector machine) were used.

The used classifiers show substantial accuracy in predicting reader satisfaction. Among them, the random forest classifier combined with the TF-IDF feature representation method exhibited the highest accuracy at 96.09%.

This study revealed that user satisfaction can be predicted based on book descriptions and shed light on the limitations of existing recommendation systems. Further, both practical and theoretical implications have been discussed.

The sharing economy is a socio-economic system in which individuals acquire and distribute goods and services among each other for free or for compensation through internet platforms. The sharing economy has attracted the interest of the academic community, which examined the phenomenon from the economic, social and technological perspectives. The paper aims to discuss this issue.

Given the lack of an overarching analysis of the sharing economy, this paper employs a quantitative content analysis approach to explore and synthesise relevant findings to facilitate the understanding of this emerging phenomenon.

The paper identified and grouped findings under four themes, namely: collaborative consumption practices, resources, drivers of user engagement and impacts, each of which is discussed in relation to the three main themes, aiming to compare findings and then put forward an agenda for further research.

The paper offers a balanced analysis of the building blocks of the sharing economy, to identify emerging themes within each stream, to discuss any contextual differences from a multi-stakeholder perspective and to propose directions for future studies.

This study aims to investigate the factors that affect an audience's purchase decisions on a new type of social media, namely live video streaming platforms.

This study is based on data from an online survey providing 488 valid responses. These responses are used to test the research model by employing partial least squares (PLS) modeling.

Three antecedents (consumer competitive arousal, gift design aesthetics and broadcaster's image) influence the audience's purchase decisions (impulse buying and continuous buying intention). Chinese impression management (mianzi) acts as a moderator. Self-mianzi, mutual mianzi and other mianzi (i.e. three subtypes of mianzi) moderate the effects of consumer competitive arousal, gift design aesthetics and broadcaster's image on impulse buying.

The findings encourage practitioners developing marketing strategies for live video streaming platforms in the Chinese cultural context to consider peer influence, gift appearance, broadcaster's image and mianzi.

Drawing on the community gift-giving model and face-negotiation theory, this study provides an integrated research model to investigate a new type of social media (live video streaming). It offers insight into virtual gifting behaviors by confirming the effects of three antecedents on the audience's purchase decisions, with mianzi acting as a moderator.

The purpose of this paper is to explore the role of social media in creating an attractive employer brand for any organization. It investigates one of the social media Glassdoor, which is an online employer branding platform, where employees put their reviews which are both positive and negative. Analysis of these reviews can generate a lot of insights into employer branding.

The data was collected as 1,243 reviews from Glassdoor, an online crowdsourced employer branding platform for 40 top-rated employers across four different sectors, namely, Pharma, IT, retail and FMCG. Text and sentimental analyses were done using SAS visual analytical for these reviews.

Ten themes were generated from the text analytics which is nothing but the employer value propositions (EVPs), and they were social, interest, development and economic value as given by Berthon et al. (2005) and also others, such as work–life, management and brand value emerged. Social value came as a significant EVP followed by interest value and work–life values.

This research is providing only ways to show that crowdsourced data can also be used to understand the mindset of employees regarding an employer’s image but is not providing any idea regarding how to generate the right employee value proposition.

The research has shown that employers can use crowdsourced employer branding insights to see where they stand in the employer's attractiveness spectrum. They can use innovative data analytics techniques, such as visualization for text and sentimental analysis to create employer branding intelligence strategies.