IDEAS home Printed from https://ideas.repec.org/a/bla/jomstd/v58y2021i4p927-948.html
   My bibliography  Save this article

The Distinctive Domain of the Sharing Economy: Definitions, Value Creation, and Implications for Research

Author

Listed:
  • Gideon D. Markman
  • Marvin Lieberman
  • Michael Leiblein
  • Li‐Qun Wei
  • Yonggui Wang

Abstract

The objective of this special issue is to expand our understanding of the sharing economy. To this end, we consider how the sharing economy can be demarcated and provide a definition that distinguishes the sharing economy from other forms of economic organization and resource orchestration. Specifically, the sharing economy entails multisided platforms that facilitate user access to – rather than ownership of – assets that are rivalrous in their use, and that are not owned by said platforms. Using this definition, we identify and show how the sharing economy creates and distributes economic value among participants and we summarize the six articles in the special issue. All in all, this introduction and the six studies clarify how the sharing economy and its three main constituencies – sharing platforms, asset providers, and users – reduce commercial friction by increasing trust, facilitating interaction, easing resource access and orchestration, and maximizing ecosystem‐wide value.

Suggested Citation

  • Gideon D. Markman & Marvin Lieberman & Michael Leiblein & Li‐Qun Wei & Yonggui Wang, 2021. "The Distinctive Domain of the Sharing Economy: Definitions, Value Creation, and Implications for Research," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 927-948, June.
  • Handle: RePEc:bla:jomstd:v:58:y:2021:i:4:p:927-948
    DOI: 10.1111/joms.12707
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/joms.12707
    Download Restriction: no

    File URL: https://libkey.io/10.1111/joms.12707?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. M. Keith Chen & Judith A. Chevalier & Peter E. Rossi & Emily Oehlsen, 2019. "The Value of Flexible Work: Evidence from Uber Drivers," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2735-2794.
    2. Belk, Russell, 2014. "You are what you can access: Sharing and collaborative consumption online," Journal of Business Research, Elsevier, vol. 67(8), pages 1595-1600.
    3. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    4. Yuming Zhang, 2021. "Sharing Economy Business Model," Springer Books, in: Sharing Economics, chapter 0, pages 257-281, Springer.
    5. Jovana Karanović & Hans Berends & Yuval Engel, 2021. "Regulated Dependence: Platform Workers’ Responses to New Forms of Organizing," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 1070-1106, June.
    6. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    7. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    8. Feifei Jiang & Xiaoying Zheng & Di Fan & Pengxiang Zhang & Sali Li, 2021. "The Sharing Economy and Business Model Design: A Configurational Approach," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 949-976, June.
    9. Janine Berg & Hannah Johnston, 2019. "Too Good to Be True? A Comment on Hall and Krueger’s Analysis of the Labor Market for Uber’s Driver-Partners," ILR Review, Cornell University, ILR School, vol. 72(1), pages 39-68, January.
    10. Carliss Y. Baldwin & C. Jason Woodard, 2009. "The Architecture of Platforms: A Unified View," Chapters, in: Annabelle Gawer (ed.), Platforms, Markets and Innovation, chapter 2, Edward Elgar Publishing.
    11. Jana Gallus, 2017. "Fostering Public Good Contributions with Symbolic Awards: A Large-Scale Natural Field Experiment at Wikipedia," Management Science, INFORMS, vol. 63(12), pages 3999-4015, December.
    12. Taeuscher, Karl, 2019. "Reputation and new venture performance in online markets: The moderating role of market crowding," Journal of Business Venturing, Elsevier, vol. 34(6).
    13. Tommy Pan Fang & Andy Wu & David R. Clough, 2021. "Platform diffusion at temporary gatherings: Social coordination and ecosystem emergence," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 233-272, February.
    14. Geissinger, Andrea & Laurell, Christofer & Sandström, Christian, 2020. "Digital Disruption beyond Uber and Airbnb—Tracking the long tail of the sharing economy," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. Huimin Gu & Tingting (Christina) Zhang & Can Lu & Xiaoxiao Song, 2021. "Assessing Trust and Risk Perceptions in the Sharing Economy: An Empirical Study," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 1002-1032, June.
    16. Guo Bai & S. Ramakrishna Velamuri, 2021. "Contextualizing the Sharing Economy," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 977-1001, June.
    17. Nicole Stofberg & Flore Bridoux & Francesca Ciulli & Niccolò Pisani & Ans Kolk & Marlene Vock, 2021. "A Relational‐Models View to Explain Peer‐to‐Peer Sharing," Journal of Management Studies, Wiley Blackwell, vol. 58(4), pages 1033-1069, June.
    18. Peter Cohen & Robert Hahn & Jonathan Hall & Steven Levitt & Robert Metcalfe, 2016. "Using Big Data to Estimate Consumer Surplus: The Case of Uber," NBER Working Papers 22627, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yao, Qiongrui (Missy) & Baker, LaKami T. & Lohrke, Franz T., 2022. "Building and sustaining trust in remote work by platform-dependent entrepreneurs on digital labor platforms: Toward an integrative framework," Journal of Business Research, Elsevier, vol. 149(C), pages 327-339.
    2. Anna Claudelin & Kaisa Tuominen & Susanna Vanhamäki, 2022. "Sustainability Perspectives of the Sharing Economy: Process of Creating a Library of Things in Finland," Sustainability, MDPI, vol. 14(11), pages 1-14, May.
    3. Zeng, Jing & Mahdi Tavalaei, M. & Khan, Zaheer, 2021. "Sharing economy platform firms and their resource orchestration approaches," Journal of Business Research, Elsevier, vol. 136(C), pages 451-465.
    4. Corinne Post & Daniel Muzio & Riikka Sarala & Liqun Wei & Dries Faems, 2021. "Theorizing Diversity in Management Studies: New Perspectives and Future Directions," Journal of Management Studies, Wiley Blackwell, vol. 58(8), pages 2003-2023, December.
    5. Jan Frederic Nerbel & Markus Kreutzer, 2023. "Digital platform ecosystems in flux: From proprietary digital platforms to wide-spanning ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-20, December.
    6. Hossain, Mokter & Mozahem, Najib Ali, 2022. "Drivers’ perceptions of the sharing economy for transport services," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. Lehmann, Julian & Weber, Florian & Waldkirch, Matthias & Graf-Vlachy, Lorenz & König, Andreas, 2022. "Institutional work battles in the sharing economy: Unveiling actors and discursive strategies in media discourse," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Cabral, Natália Gomes Cavalcante & Gohr, Cláudia Fabiana, 2023. "Sustainable value creation in sharing economy: Conceptual framework proposition and application in Brazilian offline communities," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    9. Dalia Perkumienė & Milita Vienažindienė & Biruta Švagždienė, 2021. "The Sharing Economy towards Sustainable Tourism: An Example of an Online Transport-sharing Platform," Sustainability, MDPI, vol. 13(19), pages 1-18, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hossain, Mokter & Mozahem, Najib Ali, 2022. "Drivers’ perceptions of the sharing economy for transport services," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    2. Yiyuan Ma & Ke Chen & Youzhi Xiao & Rong Fan, 2022. "Does Online Ride-Hailing Service Improve the Efficiency of Taxi Market? Evidence from Shanghai," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    3. Jan Frederic Nerbel & Markus Kreutzer, 2023. "Digital platform ecosystems in flux: From proprietary digital platforms to wide-spanning ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-20, December.
    4. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    5. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    6. Yang Pan & LiangFei Qiu, 2018. "Is Uber Helping or Hurting Mass Transit? An Empirical Investigation," Working Papers 18-11, NET Institute.
    7. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(C).
    8. Meng Liu & Erik Brynjolfsson & Jason Dowlatabadi, 2021. "Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis," Management Science, INFORMS, vol. 67(8), pages 4665-4685, August.
    9. Soheil Ghili & Vineet Kumar, 2020. "Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ride Sharing," Cowles Foundation Discussion Papers 2219R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2020.
    10. Junhong Chu & Yige Duan & Xianling Yang & Li Wang, 2021. "The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium," Management Science, INFORMS, vol. 67(1), pages 297-316, January.
    11. Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
    12. Yongwook Paik & Christos A. Makridis, 2023. "The social value of a ridesharing platform: a hedonic pricing approach," Empirical Economics, Springer, vol. 64(5), pages 2125-2150, May.
    13. Agrawal, David R. & Zhao, Weihua, 2023. "Taxing Uber," Journal of Public Economics, Elsevier, vol. 221(C).
    14. Zhong, Qi & Sun, Yaowu, 2020. "The more the better? Relational governance in platforms and the role of appropriability mechanisms," Journal of Business Research, Elsevier, vol. 108(C), pages 62-73.
    15. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    16. Ye, Fei & Ni, Debing & Li, Kevin W., 2021. "Competition between manufacturers and sharing economy platforms: An owner base and sharing utility perspective," International Journal of Production Economics, Elsevier, vol. 234(C).
    17. Ge, Yanbo & Knittel, Christopher R. & MacKenzie, Don & Zoepf, Stephen, 2020. "Racial discrimination in transportation network companies," Journal of Public Economics, Elsevier, vol. 190(C).
    18. Miric, Milan & Jeppesen, Lars Bo, 2023. "How does competition influence innovative effort within a platform-based ecosystem? Contrasting paid and unpaid contributors," Research Policy, Elsevier, vol. 52(7).
    19. John M. Barrios & Yael Hochberg & Hanyi Yi, 2020. "The Cost of Convenience: Ridehailing and Traffic Fatalities," NBER Working Papers 26783, National Bureau of Economic Research, Inc.
    20. Soheil Ghili, 2021. "Optimal Bundling: Characterization, Interpretation, and Implications for Empirical Work," Cowles Foundation Discussion Papers 2273, Cowles Foundation for Research in Economics, Yale University.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jomstd:v:58:y:2021:i:4:p:927-948. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0022-2380 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.