Mapping the economics, social and technological attributes of the sharing economy

Abstract

Purpose: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.Design: 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. Findings: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.Originality/value: 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.

The role of intrinsic and extrinsic motivations in sharing economy post-adoption

“…Recent research proposes the use of organizational frameworks to avoid incomplete and dissenting definitions of the phenomenon, find a balance between extreme positions (e.g. Acquier et al, 2017;Ertz, Durif, & Arcand, 2018;Martin, 2016), and shape a holistic portrait of SE (Davlembayeva et al, 2020). In order to position our work from academic and practical perspectives we use the organizational framework presented in Ertz, Durif, & Arcand's (2018) work.…”

Crowdsourcing: a systematic review of the literature using text mining

“…This was performed through the method of quantitative content analysis (QCA), which employs systematic coding techniques in order to classify parts of text and draw inferences about the communication content (Krippendorff, 2004). QCA was utilised through QDA Miner software and its extension WordStat, which have been used successfully for text analysis across different domains of research (Al-Rawi, 2017;Davlembayeva et al, 2019;Hartt, 2018). The main advantage of these tools lies in the fact that they combine a variety of well-established qualitative and quantitative measures, such as in Table 1, which allows for the verification and replicability of the process and results.…”

“…The main advantage of these tools lies in the fact that they combine a variety of well-established qualitative and quantitative measures, such as in Table 1, which allows for the verification and replicability of the process and results. They also accept and relate numerical to categorical data, allowing the creation and configuration of project-based dictionaries and integrating different types of text analysis visualisation that provide a comprehensive system for experimentation, development and finalisation of the analysis (Davlembayeva et al, 2019). The source of this analysis included the titles, abstracts, keywords, author names and all the information about the paper's publication.…”

Guest editorial

“…The collection of research articles in this special issue presents new insights contributing to the theory and practices in the sharing economy domain. An important staring point is the paper by Davlembayeva et al (this issue), which provides a comprehensive understanding of the sharing economy by employing a quantitative content analysis approach. Davlembayeva et al 's (this issue) work discovers four key findings of collaborative consumption in terms of practices, resources, drivers of user engagement and impacts, and identifies an agenda for future research.…”

“…An important staring point is the paper by Davlembayeva et al (this issue), which provides a comprehensive understanding of the sharing economy by employing a quantitative content analysis approach. Davlembayeva et al 's (this issue) work discovers four key findings of collaborative consumption in terms of practices, resources, drivers of user engagement and impacts, and identifies an agenda for future research. In addition to this paper, other research articles have focussed on three major research streams.…”