Skip to main navigation menu Skip to main content Skip to site footer

An empirical analysis of factors affecting sharing economy growth

Abstract

Research background: There are widely recognized benefits of sharing economy for entrepreneurs and consumers. The European Commission emphasizes the importance of European countries being open to new opportunities that sharing economy brings. In order to promote the development of sharing economy, it is important to understand what factors contribute to its development.

Purpose of the article: The presented paper aims to identify the main factors relevant for the growth of sharing economy and to determine whether there are factors which are more significant for the development of the sharing economy than others. Based on reviewed literature, the Authors compiled a set of indicators and employed them for research purposes. The selected indicators were assigned into four main groups: technological, political and regulatory environment, economic and social-cultural environment.

Methods: The authors used two multicriteria methods (SAW and APH), which were applied to the set of indicators and modeled five different situations by attributing significance to the indicators. The Authors have applied this set of indicators for assessing the following selected countries:  Lithuania, Latvia, Estonia and the United Kingdom. The data covers the years 2011?2015.

Findings & Value added: The results of the research show that technological readiness and social-cultural environment are significant for the development of sharing economy. For further research the Authors recommend the creation of a composite Sharing Economy Index (SHEI).

Keywords

sharing economy, peer-to-peer, information and communication technology, multicriteria evaluation

PDF

References

  1. Baller, S., Dutta, S., & Lanvin, B. (2016). The global information technology report 2016. Innovating in the digital economy. World Economic Forum, Geneva.
    View in Google Scholar
  2. Balcerzak, A. P. (2017). Digital economy in Czech Republic, Slovakia and Hungary. Measurement with TOPSIS based on entropy measure for objective weighting. In T. Loster & T. Pavelka (Eds.). The 11th International Days of Statistics and Economics. Conference Proceedings. Prague: Libuse Macakova, Melandrium.
    View in Google Scholar
  3. Balcerzak, A. P., & Pietrzak, M. B. (2017a). Digital economy in Visegrad countries. Multiple-criteria decision analysis at regional level in the years 2012 and 2015. Journal of Competitiveness, 9(2). doi: 10.7441/joc.2017.02.01. DOI: https://doi.org/10.7441/joc.2017.02.01
    View in Google Scholar
  4. Balcerzak, A. P., & Pietrzak, M. B. (2017b). Digital economy in Polish regions. Proposal of measurement via TOPSIS with generalized distance measure GDM. In M. Papież & S. Śmiech (Eds.). The 11th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Conference proceedings. Cracow: Foundation of the Cracow University of Economics.
    View in Google Scholar
  5. Botsman, R. (2015). The power of sharing: How collaborative business models are shaping a New Economy. Capgemini Consulting. Retrieved from http://ebooks.capgemini-consulting.com/interviews/Rachel_Botsman_Interv iew.pdf.
    View in Google Scholar
  6. CIO review. (2016). How technological advancements are beneficial for sharing economy. Retrieved from http://www.cioreview.com/news/how-technologic al-advancements-are-beneficial-for-sharing-economy-nid-18307-cid-15.html.
    View in Google Scholar
  7. Daunorienė, A., Drakšaitė, A., Snieška, V., & Valodkienė, G. (2015). Evaluating sustainability of sharing economy business models. Procedia - Social and Behavioral Sciences, 213. doi: 10.1016/j.sbspro.2015.11.486. DOI: https://doi.org/10.1016/j.sbspro.2015.11.486
    View in Google Scholar
  8. Debarshi, R. (2015). Drivers and indicators of sharing economy – a metrics based approach. Retrieved from https://www.linkedin.com/pulse/drivers-indicators-sharing-economy-metrics-based-approach-roy.
    View in Google Scholar
  9. Demailly, D., & Novel, A. S. (2014). The sharing economy: make it sustainable. Retrieved from: https://www.iddri.org/en/publications-and-events/study/shar ing-economy-make-it-sustainable.
    View in Google Scholar
  10. Dervojeda, K., Verzijl, D., Nagtegaal, F., Lengton, M., Rouwmaat, E., Monfardini, E., & Frideres, L. (2013). Accessibility based business models for peer-to-peer markets. Retrieved from http://www.eukn.eu/fileadmin/Lib/files/EUKN/ 2014/12-she-accessibility-based-business-models-for-peer-to-peer-markets_ en.pdf
    View in Google Scholar
  11. European Commission. (2016). Communication from the Commission to the European Parliament, the Council, the European economic and social committee and the committee of the regions. A European agenda for the collaborative economy. Brussels, 2.6.2016. COM (2016) 356 final.
    View in Google Scholar
  12. Formica, P. (2015). Grand transformation to entrepreneurial economy: exploring the void. Emerald Group Publishing.
    View in Google Scholar
  13. Ginevičius, R., & Podvezko, V. (2008). The problem of compatibility of various multiply criteria evaluation methods. Business: Theory and Practice, 9(1). DOI: https://doi.org/10.3846/1648-0627.2008.9.73-80
    View in Google Scholar
  14. Goudin, P. (2016). The cost of non-Europe in the sharing economy. Economic, social and legal challenges and opportunities. Retrieved from http://www.europarl.europa.eu/RegData/etudes/STUD/2016/558777/EPRS_STU(2016)558777_EN.pdf.
    View in Google Scholar
  15. Grybaitė, V., & Stankevičienė, J. (2016). Motives for participation in the sharing economy – evidence from Lithuania. Economics and Management, 8(4). doi: 10.1515/emj-2016-0028. DOI: https://doi.org/10.1515/emj-2016-0028
    View in Google Scholar
  16. Guerrero-Baena, M. D., Gómez-Limón, J. A., & Vicente Fruet, J. (2015). A multicriteria method for environmental management system selection: an intellectual capital approach. Journal of Cleaner Production, 105. doi: 10.1016/j.jclepro.2014.07.079. DOI: https://doi.org/10.1016/j.jclepro.2014.07.079
    View in Google Scholar
  17. Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9). doi: 10.1002/asi.23552. DOI: https://doi.org/10.1002/asi.23552
    View in Google Scholar
  18. Huckle, S., Bhattacharya, R., White, M., & Beloff, N. (2016). Internet of things, block chain and shared Economy applications. Procedia Computer Science, 98. doi: 10.1016/j.procs.2016.09.074. DOI: https://doi.org/10.1016/j.procs.2016.09.074
    View in Google Scholar
  19. Juniper Research. (2017). Sharing economy: opportunities, impacts and disruptors 2017-2022. Retrieved from https://www.juniperresearch.com/press/press-releases/sharing-economy-revenues-to-double-by-2022
    View in Google Scholar
  20. Latinopoulos, D., & Kechagia, K. (2015). A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece. Renewable Energy, 78. doi: 10.1016/j.renene.2015.01.041. DOI: https://doi.org/10.1016/j.renene.2015.01.041
    View in Google Scholar
  21. Molenaar, C. (2015). Why customers would rather have a smartphone than a car: Relationship retailing as an opportunity. Gower. DOI: https://doi.org/10.4324/9781315547237
    View in Google Scholar
  22. Nugaras, J., & Ginevičius, R. (2015). The strategic assessment of networking of a higher education institution. Economic Research-Ekonomska Istraživanja, 28(1). doi: 10.1080/1331677X.2014.995963. DOI: https://doi.org/10.1080/1331677X.2014.995963
    View in Google Scholar
  23. Ohlhausen, M. (2015). Sharing some thoughts on the “sharing” economy. Workshop Transcript. The “sharing” economy: issues facing platforms, participants, and regulators. Retrieved from https://www.ftc.gov/system/files/documents /public_events/636241/sharing_economy_workshop_transcript.pdf.
    View in Google Scholar
  24. Owyang, J. (2013). The three market drivers: causes for the collaborative economy. Retrieved from http://www.web-strategist.com/blog/2013/05/09/the-three-market-drivers-causes-for-the-collaborative-economy/.
    View in Google Scholar
  25. Pietrzak, M. B., & Ziemkiewicz, B. (2018a). Cluster analysis of Digital Economy in the old European Union Countries. In 36th international conference mathematical methods in economics MME 2018 conference proceedings. Prague: MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University.
    View in Google Scholar
  26. Pietrzak, M. B., & Ziemkiewicz, B. (2018b). Multiple criteria analysis of digital economy in the European Union Countries. In M. Reiff & P. Gezik (Eds.). Proceedings of the international scientific conference quantitative methods in economics multiple criteria decision making XIX. Trenčianske Teplice: Letra Edu.
    View in Google Scholar
  27. Podvezko, V. (2009). Application of AHP technique. Journal of Business Economics and Management, 10(2). doi: 10.3846/1611-1699.2009.10.181-189. DOI: https://doi.org/10.3846/1611-1699.2009.10.181-189
    View in Google Scholar
  28. PWC (2016). The sharing economy grows up. How the UK has embraced the sharing economy. Retrieved from https://www.pwc.co.uk/issues/megatrends/collis ions/sharingeconomy/outlook-for-the-sharing-economy-in-the-uk-2016.html
    View in Google Scholar
  29. Rifkin, J. (2011). The third industrial revolution. Palgrave MacMillan.
    View in Google Scholar
  30. Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3–5). doi: 10.1016/0270-0255(87)90473-8. DOI: https://doi.org/10.1016/0270-0255(87)90473-8
    View in Google Scholar
  31. Selloni, D. (2017). New forms of economies: sharing economy, collaborative consumption, peer-to-peer economy. In D. Selloni. CoDesign for public-interest services. DOI: https://doi.org/10.1007/978-3-319-53243-1
    View in Google Scholar
  32. Stankevičienė, J., & Menčaitė, E. (2012). The evaluation of bank performance using a multicriteria decision making model: a case study on Lithuanian commercial banks. Technological and Economic Development of Economy, 18(1). doi: 10.3846/20294913.2012.668373. DOI: https://doi.org/10.3846/20294913.2012.668373
    View in Google Scholar
  33. Sundararajan, A. (2016). The sharing economy: the end of employment and the rise of crowd-based capitalism. The MIT Press.
    View in Google Scholar
  34. Trivett, V., & Staf, S. (2013). What the sharing economy means to the future of travel. Report. Retrieved from https://skift.com/wp-content/uploads/2014/07/ skift-what-the-sharing-economy-means-to-the-future-of-travel.pdf
    View in Google Scholar
  35. Tvaronavičienė, M., & Grybaitė, V. (2012). Sustainable development and performance of institutions: approaches toward measurement. Journal of Security and Sustainability Issues, 1(3). DOI: https://doi.org/10.9770/jssi/2012.1.3(2)
    View in Google Scholar
  36. Tvaronavičienė, M., Grybaitė, V., & Korsakienė, R. (2008). Foreign capital destinations: Baltic states versus India. Journal of Business Economics and Management, 9(3). doi: 10.3846/1611-1699.2008.9.227-234. DOI: https://doi.org/10.3846/1611-1699.2008.9.227-234
    View in Google Scholar
  37. Vaughan, R., & Daverio, R. (2016). Assessing the size and presence of collaborative economy in Europe. PwC UK.
    View in Google Scholar
  38. Wang, J.-J., Jing, Y.-Y., Zhang, C.-F., & Zhao, J.-H. (2009). Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews, 13(9). doi: 10.1016/j.rser.2009.06.021. DOI: https://doi.org/10.1016/j.rser.2009.06.021
    View in Google Scholar
  39. Wierzbicka, W. (2018). Information infrastructure as a pillar of the knowledge-based economy – an analysis of regional differentiation in Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 13(1). doi: 10.24136/eq.2018.007. DOI: https://doi.org/10.24136/eq.2018.007
    View in Google Scholar
  40. Vitkovic, D. (2016). The sharing economy: regulation and the EU competition law. Global Antitrust Review, 9.
    View in Google Scholar
  41. Zavadskas, E. K., Vilutiene, T., Turskis, Z., & Tamošaitienė, J. (2010). Contractor selection for construction works by applying SAW- G and TOPSIS Grey techniques. Journal of Business Economics and Management, 11(1). doi: 10.3846/jbem.2010.03. DOI: https://doi.org/10.3846/jbem.2010.03
    View in Google Scholar

Downloads

Download data is not yet available.

Similar Articles

1-10 of 298

You may also start an advanced similarity search for this article.