Skip to main content
SpringerLink
Log in

Data Driven Business Model: A Strategy for Transparency in the Sharing Economy. A Bibliometric Overview

  • Conference paper
  • First Online:
Computational and Decision Methods in Economics and Business (REDCID 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 388))

  • 357 Accesses

Abstract

Three concepts are generating special interest in research: business models based on data, sharing economic and transparency in business.

The present work raises, through a research literature analysis, the link that could exist between these three concepts that, together, can be an element to consider in the competitive advantage of companies.

Working with the Web of Science databases, and focusing the search in the business, management, finance and economy sector more specifically with the terms “Shared economy”, “Transparency in business” and “Data Driven Business Model”. The analysis presents a bibliometric overview that considers a wide range of indicators that include the number of citations and publications, the h-index, leading journals and authors, evolution of terms over time and the cites per paper.

The search was carried out term by term and subsequently combining these terms between them. The study also searched for related words with the terms used in order to analyze the evolution of these terms over time.

The results reveal that, to date, no paper that combines the three concepts proposed in this work has been published in the Business, Management, Economics, or Finance areas of the Web of Science Core Collection. In consequence, this opens a new line of research to be developed in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Forbes Los Angeles Business Council. https://www.forbes.com/sites/forbeslacouncil/2019/03/04/the-sharing-economy-is-still-growing-and-businesses-should-take-note/#bfe97ab4c339 last accessed 2019/12/20.

  2. 2.

    Journal of Business Research: https://www.journals.elsevier.com/journal-of-business-research retrieved on December 2019.

References

  1. Matzler, K., Veider, V., Kathan, W.: Adapting to the sharing economy. MIT Sloan Manag. Rev. 56(2), 71–77 (2015)

    Google Scholar 

  2. Carballa Smichowski, B.: Data as a common in the sharing economy: a general policy proposal. HAL, (2016)

    Google Scholar 

  3. Alfonso Sánchez, R.: Economía colaborativa: un nuevo mercado para la economía social. Revista de Economía Pública, Social y Cooperativa 88, 231–258 (2017)

    Article  Google Scholar 

  4. Botsman, R., Rogers, R.: What’s Mine is Yours: How Collaborative Consumption is Changing the way we Live. Collins, London (2010)

    Google Scholar 

  5. Hamari, J., Sjöklint, M., Ukkonen, A.: The sharing economy: Why people participate in collaborative consumption. J. Am. Soc. Inf. Sci. 67(9), 2047–2059 (2016)

    Google Scholar 

  6. Vaughan, R., Daverio, R.: Assessing the size and presence of the collaborative economy in Europe. Publications Office of the European Union (2016)

    Google Scholar 

  7. Yaraghi, N., Ravi, S.: The current and future state of the sharing economy. Brookings India IMPACT 032017 (2017)

    Google Scholar 

  8. Cannon, S., Summers, L.H.: How uber and the sharing economy can win over regulators. Harv. Bus. Rev. 13(10), 24–28 (2014)

    Google Scholar 

  9. Good Rebels. Data Driven Marketing the DNA of customer oriented companies. https://www.goodrebels.com/wp-content/uploads/2017/10/data_driven.pdf. Accessed 15 Nov 2019

  10. Tapscot, D., Ticoll, D.: The Naked Corporation: How the Age of Transparency will Revolutionize Business. Simon and Schuster, New York (2013)

    Google Scholar 

  11. Morey, T., Forbath, T., Schoop, A.: Customer data: designing for transparency and trust. Harv. Bus. Rev. 93(5), 96–105 (2015)

    Google Scholar 

  12. Sedkaoui, S.: Data Analytics and Big Data. Wiley, Hoboken

    Google Scholar 

  13. Grandhi, B., Patwa, N., Saleem, K.: Data driven marketing for growth and profitability. In: 10th Annual Conference of the EuroMed Academy of Business, pp. 675–694. Euromed Press, Rome (2018)

    Google Scholar 

  14. Erevelles, S., Fukawa, N., Swayne, L.: Big data consumer analytics and the transformation of marketing. J. Bus. Res. 69(2), 897–904 (2016)

    Article  Google Scholar 

  15. Merigó, J.M., Gil-Lafuente, A.M., Yager, R.R.: An overview of fuzzy research with bibliometric indicators. Appl. Soft Comput. 27, 420–433 (2015)

    Article  Google Scholar 

  16. Blanco-Mesa, F., Merigó, J.M., Gil-Lafuente, A.M.: Fuzzy decision making: a bibliometric-based review. J. Intell. Fuzzy Syst. 32(3), 2033–2050 (2017)

    Article  Google Scholar 

  17. Merigó, J.M., Mas-Tur, A., Roig-Tierno, N., Ribeiro-Soriano, D.: A bibliometric overview of the journal of business research between 1973 and 2014. J. Bus. Res. 68(12), 2645–2653 (2015)

    Article  Google Scholar 

  18. Merigó, J.M., Yang, J.B.: A bibliometric analysis of operations research and management science. 73, 37–48 (2017)

    Google Scholar 

  19. Valenzuela, L.M., Merigó, J.M., Johnston, W.J., Nicolas, C., Jaramillo, J.F.: Thirty years of the journal of business and industrial marketing: a bibliometric analysis. J. Bus. Ind. Mark. (2017)

    Google Scholar 

  20. Laengle, S., Modak, N.M., Merigo, J.M., Zurita, G.: Twenty-five years of group decision and negotiation: a bibliometric overview. Group Decis. Negot. 27(4), 505–542 (2018)

    Article  Google Scholar 

  21. Hirsch, J.E.: An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. 102(46), 16569–16572 (2005)

    Article  Google Scholar 

  22. Gaviria-Marin, M., Merigó, J.M., Baier-Fuentes, H.: Knowledge management: a global examination based on bibliometric analysis. Technol. Forecast. Soc. Chang. 140, 194–220 (2019)

    Article  Google Scholar 

  23. Merigó, J.M., Pedrycz, W., Weber, R., de la Sotta, C.: Fifty years of information sciences: a bibliometric overview. Inf. Sci. 432, 245–268 (2018)

    Article  MathSciNet  Google Scholar 

  24. Belk, R.: You are what you can access: sharing and collaborative consumption online. J. Bus. Res. 67(8), 1595–1600 (2014)

    Article  Google Scholar 

  25. Herkenhoff, F.: Measuring risks to reputation. In: Klewes, J., Wreschniok, R. (eds) Reputation Capital. Springer, Berlin, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01630-1_13

  26. Granados, N., Gupta, A., Kauffman, R.J.: Research commentary—information transparency in business-to-consumer markets: concepts, framework, and research agenda. Inf. Syst. Res. 21(2), 207–226 (2010)

    Article  Google Scholar 

  27. Bushman, R.M., Piotroski, J.D., Smith, A.J.: What determines corporate transparency? J. Account. Res. 42(2), 207–252 (2004)

    Article  Google Scholar 

  28. Hartmann, P.M., Zaki, M., Feldmann, N., Neely, A.: Capturing value from big data–a taxonomy of data-driven business models used by start-up firms. Int. J. Oper. Prod. Manage. (2016)

    Google Scholar 

  29. Pisano, P., Pironti, M., Rieple, A.: Identify innovative business models: can innovative business models enable players to react to ongoing or unpredictable trends? Entrep. Res. J. 5(3), 181–199 (2015)

    Google Scholar 

  30. Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: Science mapping software tools: review, analysis, and cooperative study among tools. J. Am. Soc. Inform. Sci. Technol. 62(7), 1382–1402 (2011)

    Article  Google Scholar 

  31. Waltman, L., Van Eck, N.J., Noyons, E.C.: A unified approach to mapping and clustering of bibliometric networks. J. Informet. 4(4), 629–635 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. UPF Barcelona School of Management, Barcelona, Spain

    Carolina Luis-Bassa & Thibisay González-Rodríguez

Authors
  1. Carolina Luis-Bassa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thibisay González-Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Carolina Luis-Bassa .

Editor information

Editors and Affiliations

  1. Department of Business Administration, University of Barcelona, Barcelona, Spain

    Anna Maria Gil-Lafuente

  2. Department of Business Administration, University of Barcelona, Barcelona, Spain

    Josefa Boria

  3. Department of Business Administration, University of Barcelona, Barcelona, Spain

    Agustín Torres

  4. School of Information, Systems and Modelling, University of Technology, Sydney, NSW, Australia

    José M. Merigó

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

Appendix A

Appendix A

Table Appendix A. Papers that use synonyms terms for “Sharing Economy” together Source: Web of Science, December 2019.
Full size table

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Luis-Bassa, C., González-Rodríguez, T. (2022). Data Driven Business Model: A Strategy for Transparency in the Sharing Economy. A Bibliometric Overview. In: Gil-Lafuente, A.M., Boria, J., Torres, A., Merigó, J.M., Kacprzyk, J. (eds) Computational and Decision Methods in Economics and Business. REDCID 2019. Lecture Notes in Networks and Systems, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-030-93787-4_14

Download citation

Publish with us

Policies and ethics

Search

Navigation