Munoz, P orcid.org/0000-0002-8843-5943 and Cohen, B (2017) Mapping out the Sharing Economy: A Configurational Approach to Sharing Business Modeling. Technological Forecasting and Social Change, 125. pp. 21-37. ISSN 0040-1625
Abstract
Sharing economy businesses have emerged in recent years as a disruptive approach to the traditional way of planning, modeling and doing business. The phenomenon has gained significant traction within a wide range of domains including entrepreneurship, innovation, technology and management more broadly. Despite this surge and interest, there is a lack of empirical research regarding the increasing diversity of sharing economy business models and the implications for business growth, community impact, sustainability and public policy. With this research, we sought to leverage a rigorous comparative method, fs/QCA, to assess the business models of 36 firms in the sharing economy. Leveraging a rich set of qualitative data, our analysis leveraged seven dimensions of sharing economy business models drawn from extant research, revealing a typology comprising five ideal types that collectively account for the constellation of possible, empirically-relevant business models across the sharing economy. The emergent dilemmas and paradoxes as well as implications of these typologies of business models for startups, investors and policymakers are explored
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier Inc. This is an author produced version of a paper published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Sharing economy; Business models; Typology; Qualitative comparative analysis; fsQCA |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Mar 2017 10:48 |
Last Modified: | 06 Oct 2018 00:38 |
Published Version: | https://doi.org/10.1016/j.techfore.2017.03.035 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.techfore.2017.03.035 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114258 |