[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v559y2020ics0378437120305288.html
   My bibliography  Save this article

Two-sided matching and strategic selection on freight resource sharing platforms

Author

Listed:
  • Wang, Zhihong
  • Li, Yangyang
  • Gu, Fu
  • Guo, Jianfeng
  • Wu, Xiaojun
Abstract
To resolve problems of information asymmetry and low matching efficiency in freight market, a freight resource sharing platform must provide accurate and readily acceptable vehicle-cargo matching results. We study a two-sided matching model, and analyze the impact of suppliers and demanders’ loss aversion on matching results. We find that users’ loss aversion positively influences the accuracy of vehicle-cargo matching. Next, we construct an evolutionary game model and investigate the trend of users’ strategic selection of the matching results recommended by the platform and the factors influencing their selection. Within their respective limits, the platform’s service level, the users’ initial acceptance probability and waiting cost are found to have a positive impact on the evolutionary trend of users’ acceptance of the matching results. The models are verified using numeric analyses. Several suggestions are made for improving platform matching efficiency.

Suggested Citation

  • Wang, Zhihong & Li, Yangyang & Gu, Fu & Guo, Jianfeng & Wu, Xiaojun, 2020. "Two-sided matching and strategic selection on freight resource sharing platforms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
  • Handle: RePEc:eee:phsmap:v:559:y:2020:i:c:s0378437120305288
    DOI: 10.1016/j.physa.2020.125014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437120305288
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2020.125014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fortin, Ines & Hlouskova, Jaroslava, 2011. "Optimal asset allocation under linear loss aversion," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2974-2990, November.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2017. "A theory of price adjustment under loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 78-95.
    4. Keskin, Kerim, 2018. "Cumulative prospect theory preferences in rent-seeking contests," Mathematical Social Sciences, Elsevier, vol. 96(C), pages 85-91.
    5. Mofidi, Seyed Shahab & Pazour, Jennifer A., 2019. "When is it beneficial to provide freelance suppliers with choice? A hierarchical approach for peer-to-peer logistics platforms," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 1-23.
    6. Pan, Siqi, 2019. "The instability of matching with overconfident agents," Games and Economic Behavior, Elsevier, vol. 113(C), pages 396-415.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Yi, Yuyin & Yang, Haishen, 2017. "An evolutionary stable strategy for retailers selling complementary goods subject to indirect network externalities," Economic Modelling, Elsevier, vol. 62(C), pages 184-193.
    9. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    10. Tong, Tingting & Yu, T. Edward, 2018. "Transportation and economic growth in China: A heterogeneous panel cointegration and causality analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 120-130.
    11. Robin S. Lee & Michael Schwarz, 2017. "Interviewing in two-sided matching markets," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 835-855, August.
    12. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2019. "Matching supply and demand in a sharing economy: Classification, computational complexity, and application," European Journal of Operational Research, Elsevier, vol. 278(2), pages 578-595.
    13. Hu, Benyong & Meng, Chao & Xu, Dong & Son, Young-Jun, 2016. "Three-echelon supply chain coordination with a loss-averse retailer and revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 179(C), pages 192-202.
    14. Ozkan-Canbolat, Ela & Beraha, Aydin, 2016. "Evolutionary knowledge games in social networks," Journal of Business Research, Elsevier, vol. 69(5), pages 1807-1811.
    15. Wu, Tian & Zhang, Mengbo & Tian, Xin & Wang, Shouyang & Hua, Guowei, 2020. "Spatial differentiation and network externality in pricing mechanism of online car hailing platform," International Journal of Production Economics, Elsevier, vol. 219(C), pages 275-283.
    16. Li, Sanxi & Sun, Hailin & Wang, Tong & Yu, Jun, 2016. "Assortative matching and risk sharing," Journal of Economic Theory, Elsevier, vol. 163(C), pages 248-275.
    17. Forkenbrock, David J., 2001. "Comparison of external costs of rail and truck freight transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 321-337, May.
    18. Kitahara, Minoru & Okumura, Yasunori, 2019. "On the number of employed in the matching model," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 63-69.
    19. Liu, Siyuan & Qu, Qiang, 2016. "Dynamic collective routing using crowdsourcing data," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 450-469.
    20. Parke, William R. & Waters, George A., 2007. "An evolutionary game theory explanation of ARCH effects," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2234-2262, July.
    21. Neilson, William S & Stowe, Jill, 2002. "A Further Examination of Cumulative Prospect Theory Parameterizations," Journal of Risk and Uncertainty, Springer, vol. 24(1), pages 31-46, January.
    22. Chen, Jiawei & Song, Kejun, 2013. "Two-sided matching in the loan market," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 145-152.
    23. Eduardo M. Azevedo & Jacob D. Leshno, 2016. "A Supply and Demand Framework for Two-Sided Matching Markets," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1235-1268.
    24. Curatola, Giuliano, 2017. "Optimal portfolio choice with loss aversion over consumption," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 345-358.
    25. Chen, Yang & Zhang, Qiang & Chen, Shun & Wan, Zheng, 2019. "Chinese third-party shipping internet platforms: Thriving and surviving in a two-sided market (2013–2016)," Transport Policy, Elsevier, vol. 82(C), pages 117-126.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mei Cai & Suqiong Hu & Ya Wang & Jingmei Xiao, 2022. "A Dynamic Social Network Matching Model for Virtual Power Plants and Distributed Energy Resources with Probabilistic Linguistic Information," Sustainability, MDPI, vol. 14(22), pages 1-33, November.
    2. Lu, Changxiang & Ye, Yong & Fang, Yongjun & Fang, Jiaqi, 2023. "An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Che-Yuan Liang, 2017. "Optimal inequality behind the veil of ignorance," Theory and Decision, Springer, vol. 83(3), pages 431-455, October.
    2. Enrico Diecidue & Peter Wakker & Marcel Zeelenberg, 2007. "Eliciting decision weights by adapting de Finetti’s betting-odds method to prospect theory," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 179-199, June.
    3. LiCalzi, Marco & Sorato, Annamaria, 2006. "The Pearson system of utility functions," European Journal of Operational Research, Elsevier, vol. 172(2), pages 560-573, July.
    4. Hlouskova, Jaroslava & Fortin, Ines & Tsigaris, Panagiotis, 2019. "The consumption–investment decision of a prospect theory household: A two-period model with an endogenous second period reference level," Journal of Mathematical Economics, Elsevier, vol. 85(C), pages 93-108.
    5. Serge Blondel & Louis Lévy-garboua, 2011. "Can non-expected utility theories explain the paradox of not voting?," Economics Bulletin, AccessEcon, vol. 31(4), pages 3158-3168.
    6. Amedeo Piolatto & Matthew D. Rablen, 2017. "Prospect theory and tax evasion: a reconsideration of the Yitzhaki puzzle," Theory and Decision, Springer, vol. 82(4), pages 543-565, April.
    7. D. A. Peel & Jie Zhang & D. Law, 2008. "The Markowitz model of utility supplemented with a small degree of probability distortion as an explanation of outcomes of Allais experiments over large and small payoffs and gambling on unlikely outc," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 17-26.
    8. Michael J. Best & Robert R. Grauer, 2017. "Humans, Econs and Portfolio Choice," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-30, June.
    9. Servaas van Bilsen & Roger J. A. Laeven & Theo E. Nijman, 2020. "Consumption and Portfolio Choice Under Loss Aversion and Endogenous Updating of the Reference Level," Management Science, INFORMS, vol. 66(9), pages 3927-3955, September.
    10. Rustamdjan Hakimov & Dorothea Kübler & Siqi Pan, 2023. "Costly information acquisition in centralized matching markets," Quantitative Economics, Econometric Society, vol. 14(4), pages 1447-1490, November.
    11. Jaroslava Hlouskova & Jana Mikocziova & Rudolf Sivak & Peter Tsigaris, 2014. "Capital Income Taxation and Risk-Taking under Prospect Theory: The Continuous Distribution Case," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(5), pages 374-391, November.
    12. Arjan Verschoor & Ben D’Exelle, 2022. "Probability weighting for losses and for gains among smallholder farmers in Uganda," Theory and Decision, Springer, vol. 92(1), pages 223-258, February.
    13. Jaroslava Hlouskova & Panagiotis Tsigaris & Anetta Caplanova & Rudolf Sivak, 2017. "A behavioral portfolio approach to multiple job holdings," Review of Economics of the Household, Springer, vol. 15(2), pages 669-689, June.
    14. Ralf Elbert & Lowis Seikowsky, 2017. "The influences of behavioral biases, barriers and facilitators on the willingness of forwarders’ decision makers to modal shift from unimodal road freight transport to intermodal road–rail freight tra," Journal of Business Economics, Springer, vol. 87(8), pages 1083-1123, November.
    15. Fulga, Cristinca, 2016. "Portfolio optimization with disutility-based risk measure," European Journal of Operational Research, Elsevier, vol. 251(2), pages 541-553.
    16. Mareile Drechsler & Konstantinos Katsikopoulos & Gerd Gigerenzer, 2014. "Axiomatizing bounded rationality: the priority heuristic," Theory and Decision, Springer, vol. 77(2), pages 183-196, August.
    17. Pavlo R. Blavatskyy, "undated". "A Stochastic Expected Utility Theory," IEW - Working Papers 231, Institute for Empirical Research in Economics - University of Zurich.
    18. Michael Best & Robert Grauer & Jaroslava Hlouskova & Xili Zhang, 2014. "Loss-Aversion with Kinked Linear Utility Functions," Computational Economics, Springer;Society for Computational Economics, vol. 44(1), pages 45-65, June.
    19. Wentao Yi & Zhongwei Feng & Chunqiao Tan & Yuzhong Yang, 2021. "Green Supply Chain Management with Nash Bargaining Loss-Averse Reference Dependence," Mathematics, MDPI, vol. 9(24), pages 1-26, December.
    20. Santos, Georgina & Behrendt, Hannah & Teytelboym, Alexander, 2010. "Part II: Policy instruments for sustainable road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 46-91.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:559:y:2020:i:c:s0378437120305288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.