Finance and Credit
 

Abstracting and Indexing

РИНЦ
Referativny Zhurnal VINITI RAS
Worldcat
LCCN Permalink
Google Scholar

Online available

EBSCOhost
Eastview
Elibrary
Biblioclub

Archiving

Cyberleninka (12 month OA embargo)

Differentiated pricing in the sharing economy

Vol. 25, Iss. 7, JULY 2019

Received: 19 June 2019

Received in revised form: 3 July 2019

Accepted: 17 July 2019

Available online: 1 August 2019

Subject Heading: Financial system

JEL Classification: М21, О17, О33

Pages: 1542–1563

https://doi.org/10.24891/fc.25.7.1542

Popov E.V. Institute of Economics, Ural Branch of Russian Academy of Sciences, Yekaterinburg, Russian Federation
epopov@mail.ru

https://orcid.org/0000-0002-5513-5020

Derbeneva V.V. Ural Federal University named after First President of Russia B.N. Yeltsin, Yekaterinburg, Russian Federation
derbeneva_v@bk.ru

https://orcid.org/0000-0002-3102-6567

Semyachkov K.A. Institute of Economics, Ural Branch of Russian Academy of Sciences, Yekaterinburg, Russian Federation
k.semyachkov@mail.ru

https://orcid.org/0000-0003-0998-0183

Subject The emergence and rapid growth of the sharing economy stem from digital platforms of shared access. Such platforms significantly influence all the phases of resource exchange between business entities, making them use digital platforms to render sharing economy services.
Objectives We systematize differentiated approaches to pricing for sharing economy services and identify key pricing factors.
Methods The study involves methods of logic analysis and systemic representation of various pricing methods.
Results The article illustrates the specifics of pricing in shared use platforms and differentiates four types of services, i.e. transport, hospitality and lodging, labor market, rent of commodities. We make a comparison of costs and key pricing factors of traditional business forms and business models of the sharing economy based on digital platforms. We systematize pricing approaches in a new way, making the framework for evaluating financial services of the sharing economy. Knowledge is multiplied as the pricing theory unfolds in the sharing economy. The article demonstrates that it is possible to monetize incompletely utilized resources held by the people in various aspects of the sharing economy. We also show subsequent changes in economic relationships.
Conclusions and Relevance Analyzing the data, we conclude that digital platforms do influence prices. Thus, we formulate concepts of direct and indirect pricing effects digital platforms have, systematize pricing effects in the analyzable aspects of the economy.

Keywords: sharing economy, shared access, digital platform, pricing

References:

  1. Yaraghi N., Ravi Sh. The Current and Future State of the Sharing Economy. 2017. URL: Link
  2. Popov E.V., Gertsegova K., Semyachkov K.A. [Innovations in the Institutional Modelling of the Sharing Economy]. Journal of Institutional Studies, 2018, vol. 10, no. 2, pp. 26–43. (In Russ.)
  3. Kung L.-C., Zhong G.-Y. The Optimal Pricing Strategy for Two-Sided Platform Delivery in the Sharing Economy. Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 101, pp. 1–12. URL: Link
  4. Knote R., Blohm I. Deconstructing the Sharing Economy: On the Relevance for IS Research. Proceedings of the 1st Multikonferenz Wirts Chafts Informatic, MKWI 2016, vol. 4, no. 11. Technische Universität Ilmenau, 2016.
  5. Abramova O., Shavanova T., Fuhrer A. et al. Understanding the Sharing Economy: The Role of Response to Negative Reviews in the Peer-to-Peer Accommodation Sharing Network. Twenty-Third European Conference on Information Systems (ECIS). Münster, Germany, Association for Information Systems, 2015. URL: Link
  6. Kooti F., Grbovic M., Aiello L.M. et al. Analyzing Uber's Ride-Sharing Economy. Proceedings of the 26th International Conference on World Wide Web Companion. Perth, Australia, International World Wide Web Conferences Steering Committee, 2017, pp. 574–582.
  7. Cohen P., Hahn R., Hal J. et al. Using Big Data to Estimate Consumer Surplus: The Case of Uber. NBER Working Papers, no. 22627. National Bureau of Economic Research, 2016. URL: Link
  8. Paik Y., Kang S., Seamans R. Entrepreneurship, Innovation, and Political Competition: How the Public Sector Helps the Sharing Economy Create Value. Strategic Management Journal, 2019, vol. 40, iss. 4, pp. 503–532. URL: Link
  9. Sutherland W., Jarrahi M.H. The Sharing Economy and Digital Platforms: A Review and Research Agenda. International Journal of Information Management, 2018, vol. 43, pp. 328–341. URL: Link
  10. Luca M. Designing Online Marketplaces: Trust and Reputation Mechanisms. Innovation Policy and the Economy, 2017, vol. 17, pp. 77–93.
  11. Gibbs C., Guttentag D., Gretzel U. et al. Pricing in the Sharing Economy: A Hedonic Pricing Model Applied to Airbnb Listings. Journal of Travel and Tourism Marketing, 2018, vol. 35, iss. 1, pp. 46–56. URL: Link
  12. Lawani A., Reed M.R., Mark T., Zheng Y. Reviews and Price on Online Platforms: Evidence from Sentiment Analysis of Airbnb Reviews in Boston. Regional Science and Urban Economics, 2019, vol. 75, pp. 22–34. URL: Link
  13. Ikkala T., Lampinen A. Defining the Price of Hospitality. Proceedings of the Companion Publication of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing – CSCW Companion ’14. New York, USA, ACM Press, 2014, pp. 173–176. URL: Link
  14. Gutt D., Herrmann P. Sharing Means Caring? Hosts' Price Reaction to Rating Visibility. Paper 54. Twenty-Third European Conference on Information Systems (ECIS). Münster, Germany, Association for Information Systems, 2015.
  15. Lampinen A., Cheshire C. Hosting via Airbnb: Motivations and Financial Assurances in Monetized Network Hospitality. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2016, pp. 1669–1680.
  16. Guttentag D. Airbnb: Disruptive Innovation and the Rise of an Informal Tourism Accommodation Sector. Current Issues in Tourism, 2015, vol. 18, iss. 12, pp. 1192–1217. URL: Link
  17. Maiburov I.A. et al. Tsifrovye tekhnologii nalogovogo administrirovaniya: monografiya [Digital technologies for tax administration]. Moscow, YUNITI-DANA Publ., 2019, 263 p.
  18. Hagiu A., Wright J. The Status of Workers and Platforms in the Sharing Economy. Journal of Economics and Management Strategy, 2019, vol. 28, iss. 1, pp. 97–108. URL: Link
  19. Gleim M.R., Johnson C.M., Lawson S.J. Sharers and Sellers: A Multi-Group Examination of Gig Economy Workers' Perceptions. Journal of Business Research, 2019, vol. 98, pp. 142–152. URL: Link
  20. Howcroft D., Bergvall-Kåreborn B.A. Typology of Crowdwork Platforms. Employment and Society, 2019, vol. 33, iss. 1, pp. 21–38. URL: Link
  21. LaToza TD, van der Hoek A. Crowdsourcing in Software Engineering: Models, Opportunities, and Challenges. IEEE Software, 2016, vol. 33, iss. 1, pp. 74–80. URL: Link
  22. Razeghian M., Weber T.A. The Advent of the Sharing Culture and its Effect on Product Pricing. Electronic Commerce Research and Applications, 2019, vol. 33. URL: Link
  23. Liu Z., Feng J., Wang J. Effects of the Sharing Economy on Sequential Innovation Products. Complexity, 2019, vol. 2019, pp. 1–18. URL: Link

View all articles of issue

 

ISSN 2311-8709 (Online)
ISSN 2071-4688 (Print)

Journal current issue

Vol. 25, Iss. 7
July 2019

Archive