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Competitive analysis for two-option online leasing problem under sharing economy

Author

Listed:
  • Yong Zhang

    (Guangdong University of Technology)

  • Jingting Wu

    (Guangdong University of Technology)

  • Wenxiong Lin

    (Guangdong University of Technology)

  • Muyu Hou

    (Guangdong University of Technology)

Abstract

With the booming development of sharing economy, decision makers must consider the effect when making decisions with uncertain demands. In the leasing problem, people are faced with several leasing options. Participating in the shared leasing option can reduce the cost of the lessee, which makes it a good choice. This paper considers the online leasing option under sharing economy. By applying competitive analysis to the two-option online leasing problem, the optimal competitive ratios of the deterministic and randomized strategies with market interest rate are obtained, respectively. The theoretical results show that the strategies’ competitive performance is improved under sharing economy. Furthermore, numerical examples are performed to illustrate that considering the shared option has a significant influence on the two-option online leasing problem.

Suggested Citation

  • Yong Zhang & Jingting Wu & Wenxiong Lin & Muyu Hou, 2022. "Competitive analysis for two-option online leasing problem under sharing economy," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 670-689, August.
    • Handle: RePEc:spr:jcomop:v:44:y:2022:i:1:d:10.1007_s10878-022-00855-0
    DOI: 10.1007/s10878-022-00855-0
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    References listed on IDEAS

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    1. Xingyu Yang & Weiguo Zhang & Weijun Xu & Yong Zhang, 2011. "Competitive Analysis for Online Leasing Problem with Compound Interest Rate," Abstract and Applied Analysis, Hindawi, vol. 2011, pages 1-12, September.
    2. Saif Benjaafar & Guangwen Kong & Xiang Li & Costas Courcoubetis, 2019. "Peer-to-Peer Product Sharing: Implications for Ownership, Usage, and Social Welfare in the Sharing Economy," Management Science, INFORMS, vol. 65(2), pages 477-493, February.
    3. Xin Feng & Yinfeng Xu & Guanqun Ni & Yongwu Dai, 2018. "Online leasing problem with price fluctuations under the consumer price index," Journal of Combinatorial Optimization, Springer, vol. 36(2), pages 493-507, August.
    4. Xingyu Yang & Jin’an He & Hong Lin & Yong Zhang, 2020. "Boosting Exponential Gradient Strategy for Online Portfolio Selection: An Aggregating Experts’ Advice Method," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 231-251, January.
    5. Dai, Wenqiang & Dong, Yucheng & Zhang, Xiaotian, 2016. "Competitive analysis of the online financial lease problem," European Journal of Operational Research, Elsevier, vol. 250(3), pages 865-873.
    6. Yong Zhang & Xingyu Yang, 2017. "Online Portfolio Selection Strategy Based on Combining Experts’ Advice," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 141-159, June.
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    Cited by:

    1. Jiamin Lu & Nishan Chen & Xin Feng, 2023. "Competitive Analysis of the Online Leasing Problem for Scarce Resources," IJERPH, MDPI, vol. 20(1), pages 1-11, January.

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