IDEAS home Printed from https://ideas.repec.org/a/spt/admaec/v12y2022i4f12_4_5.html
   My bibliography  Save this article

The Effect of Dishonest Sellers on E-commerce: An Agent-Based Modeling Approach

Author

Listed:
  • Yi-Chen Huang
  • Tak-Yu Cheng
  • Bin-Tzong Chie

Abstract

This paper studies dishonest sellers in the e-commerce market, specifically their impact on the market under different conditions. We consider the role of consumers’ social and individual learning and social network branches on the market. We rely on a quality uncertainty market model (Izquierdo et al., 2007) and a trust game model (Wierzbicki et al., 2014) to establish an agent-based model. Our approach considers the proportion of honest and dishonest sellers, the reputation of sellers, and the expectation of quality among consumers after purchasing the goods. The results of the study reveal that when dishonest sellers appear in a market with a high degree of quality uncertainty, there is a negative impact on the market, including a decline in consumer expected quality of products in the market, a decrease in commodity transaction volume and market price, and a decrease in seller income. The impact is more pronounced in markets with a higher proportion of dishonest sellers.  JEL classification numbers: C15, C63, D21, B82, B83.

Suggested Citation

  • Yi-Chen Huang & Tak-Yu Cheng & Bin-Tzong Chie, 2022. "The Effect of Dishonest Sellers on E-commerce: An Agent-Based Modeling Approach," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(4), pages 1-5.
  • Handle: RePEc:spt:admaec:v:12:y:2022:i:4:f:12_4_5
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/AMAE%2fVol%2012_4_5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Izquierdo, Segismundo S. & Izquierdo, Luis R., 2007. "The impact of quality uncertainty without asymmetric information on market efficiency," Journal of Business Research, Elsevier, vol. 60(8), pages 858-867, August.
    2. Adam Wierzbicki & Paulina Adamska & Katarzyna Abramczuk & Thanasis Papaioannou & Karl Aberer & Emilia Rejmund, 2014. "Studying Web Content Credibility by Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-6.
    3. Granovetter, Mark & Soong, Roland, 1986. "Threshold models of interpersonal effects in consumer demand," Journal of Economic Behavior & Organization, Elsevier, vol. 7(1), pages 83-99, March.
    4. Janssen, Marco A. & Jager, Wander, 2001. "Fashions, habits and changing preferences: Simulation of psychological factors affecting market dynamics," Journal of Economic Psychology, Elsevier, vol. 22(6), pages 745-772, December.
    Full references (including those not matched with items on IDEAS)

    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. Volgger, Michael & Taplin, Ross & Pforr, Christof, 2019. "The evolution of ‘Airbnb-tourism’: Demand-side dynamics around international use of peer-to-peer accommodation in Australia," Annals of Tourism Research, Elsevier, vol. 75(C), pages 322-337.
    2. Jun Honda, 2015. "Games with the Total Bandwagon Property," Department of Economics Working Papers wuwp197, Vienna University of Economics and Business, Department of Economics.
    3. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    4. Norman Braun, 1995. "Individual Thresholds and Social Diffusion," Rationality and Society, , vol. 7(2), pages 167-182, April.
    5. Bonache, Adrien, 2008. "Les ventes de produits innovants à la mode sont-elles chaotiques? Le cas des ventes de Game Boy au Japon [Are innovative and fashion goods sales chaotic? The case of Game Boy sales in Japan]," MPRA Paper 12964, University Library of Munich, Germany.
    6. Robin Cowan & William Cowan & G.M. Peter Swann, 2004. "Waves in consumption with interdependence among consumers," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(1), pages 149-177, February.
    7. Lu, Peng & Wang, Zheng & Nie, Shizhao & Pujia, Wangmo & Lu, Pengfei & Chen, Baosheng, 2018. "Exploring the participate propensity in cyberspace collective actions: The 5‰ rule," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 582-590.
    8. Olivier Mesly & David W. Shanafelt & Nicolas Huck, 2021. "Dysfunctional Markets: A Spray of Prey Perspective," Journal of Economic Issues, Taylor & Francis Journals, vol. 55(3), pages 797-819, July.
    9. K. Kesteloot, 1992. "Multimarket cooperation with scope effects in demand," Journal of Economics, Springer, vol. 55(3), pages 245-264, October.
    10. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.
    11. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    12. Gavrel, Frédéric & Rebiere, Therese, 2015. "On the Equilibrium and Welfare Consequences of 'Keeping up with the Joneses'," IZA Discussion Papers 9056, Institute of Labor Economics (IZA).
    13. Conlisk, John & Gong, Jyh-Chyi & Tong, Ching H., 2000. "Imitation and the dynamics of norms," Mathematical Social Sciences, Elsevier, vol. 40(2), pages 197-213, September.
    14. Bonache, Adrien & Moris, Karen, 2009. "Nonlinear and chaotic patterns in Japanese video game console sales and consequences for management control," MPRA Paper 18196, University Library of Munich, Germany.
    15. Juliette Rouchier, 2013. "The Interest of Having Loyal Buyers in a Perishable Market," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 151-170, February.
    16. Janssen, Marco A. & Jager, Wander, 2001. "Fashions, habits and changing preferences: Simulation of psychological factors affecting market dynamics," Journal of Economic Psychology, Elsevier, vol. 22(6), pages 745-772, December.
    17. Ruguo Fan & Rongkai Chen, 2022. "Promotion Policies for Electric Vehicle Diffusion in China Considering Dynamic Consumer Preferences: A Network-Based Evolutionary Analysis," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    18. Moglia, Magnus & Alexander, Kim S. & Thephavanh, Manithaythip & Thammavong, Phomma & Sodahak, Viengkham & Khounsy, Bountom & Vorlasan, Sysavanh & Larson, Silva & Connell, John & Case, Peter, 2018. "A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR," Agricultural Systems, Elsevier, vol. 164(C), pages 84-94.
    19. Guseo, Renato & Guidolin, Mariangela, 2010. "Cellular Automata with network incubation in information technology diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2422-2433.
    20. Elgaaied-Gambier, Leila & Monnot, Elisa & Reniou, Fanny, 2018. "Using descriptive norm appeals effectively to promote green behavior," Journal of Business Research, Elsevier, vol. 82(C), pages 179-191.

    More about this item

    Keywords

    Agent-Based modeling; E-commerce market; Dishonest sellers; Trust game; Reputation of sellers.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

    Statistics

    Access and download statistics

    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:spt:admaec:v:12:y:2022:i:4:f:12_4_5. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    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.