Skip to main content

Modeling the Cashflow Management of Bike Sharing Industry

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 354))

Abstract

The sharing economy has been widely concerned since its inception and bike sharing is one of the most representative examples. The paper attempts to investigate the cashflow management strategy of bike sharing companies to optimize the overall financial return. The framework of our model is based on the assumption that bike sharing companies may invest operation income in financial market for long-term and short-term earnings. Optimal reserve pool is modeled and estimated using double parameterized compound Poisson distributions. Empirical examples and Monte Carlo analysis are provided for model validation.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Bart, M.E., Clinch, G.: Scale effects in capital markets- based accounting Michael Ahillen, Derlie Mateobabiano, and Jonathan Corcoran. Dynamics of bike sharing in washington, dc and brisbane, australia: Implications for policy and planning. Int. J. Sustain. Transp. 10(5), 150106050055009, 2016 (2001)

    Google Scholar 

  2. Botsman, R.: The sharing economy lacks a shared definition (2013)

    Google Scholar 

  3. Boudiche, M.: The determinants of profit forecast by tunisian companies. Asian Econ. Financ. Rev. 3(9), 1180–1194 (2013)

    Google Scholar 

  4. Delbaen, F., Haezendonck, J.: Classical risk theory in an economic environment. Insur. Math. Econ. 6(2), 85–116 (2006)

    Article  MathSciNet  Google Scholar 

  5. Ertz, M., Durif, F., Arcand, M.: Collaborative consumption or the rise of the two-sided consumer. Int. J. Bus. Manage. 4(6), 195–209 (2016)

    Google Scholar 

  6. Feng, R.X., Ma, Y.: Innovation of business model under sharing economy - take ofo for example. Jiangsu Bus. Theor. 19, 28–29 (2017)

    Google Scholar 

  7. Ge, W.J.: Discussion on the construction and profit model of the sharing-bicycle value network model: take moby and ofo for example. China Bus. Trade 15, 174–176 (2017)

    Google Scholar 

  8. Jorion, P.: Value At Risk: The New Benchmark for Managing Financial Risk. Risk Management. McGraw-Hill, New York (2006)

    Google Scholar 

  9. Lan, J., Ma, Y., Zhu, D., Mangalagiu, D., Thornton, T.F.: Enabling value co-creation in the sharing economy: the case of mobike. Sustainability 9(9), 1504 (2017)

    Article  Google Scholar 

  10. Li, Y.J., Li, X.S., Jiang, Y.X.: Study on information entropy as a solution to measure risk in financial market. Oper. Res. Manage. Sci. 16(5), 111–116 (2007)

    Google Scholar 

  11. Maasoumi, E., Racine, J.: Entropy and predictability of stock market returns. J. Econometrics 107(1), 291–312 (2002)

    Article  MathSciNet  Google Scholar 

  12. Magali, D., Alexer, O., Yves, P.: E-business model design, classification, and measurements. Thunderbird Int. Bus. Rev. 44(1), 5–23 (2010)

    Google Scholar 

  13. McNeil, A., Frey, R., Embrechts, P.: Quantitative risk management: concepts. Tech. Tools 101, 10 (2005)

    MATH  Google Scholar 

  14. Schor, J.: Debating the sharing economy (2014)

    Google Scholar 

  15. Shaheen, A., Guzman, S., Zhang, H.: Bikesharing in Europe, the Americas, and Asia: past, present, and future. Transp. Res. Rec. 2143, 159–167 (2010)

    Article  Google Scholar 

  16. Yan, T.H., Feng, Q.S., Xu, J.: Study on measurement model of risk reserve for commercial banks. J. Quant. Tech. Econ. 18(4), 84–87 (2001)

    Google Scholar 

Download references

Acknowledgement

The authors are grateful to the valuable comments from the anonymous reviewers, which helped to improve the earlier version of the paper. The research is supported by Natural Science Foundation of China (NSFC.11501044, 1181339), Jiangsu Science and Technology Basic Research Programme (BK20171237), Key Program Special Fund in XJTLU (KSF-E-21), Research Development Fund of XJTLU (RDF-2017-02-23), and partially supported by NSFC (No.11571002,11571047,11671049,11671051,61672003).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Dejun Xie or Shengxin Zhu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shen, B., Shan, Y., Jia, Y., Xie, D., Zhu, S. (2019). Modeling the Cashflow Management of Bike Sharing Industry. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-20482-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20482-2_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20481-5

  • Online ISBN: 978-3-030-20482-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics