421
Views
6
CrossRef citations to date
0
Altmetric
Research Article

Modeling and simulating Chinese cross-border e-commerce: an agent-based simulation approach

, &
Pages 658-675 | Received 13 Mar 2021, Accepted 07 Feb 2022, Published online: 02 Mar 2022

References

  • AgencyChina. (2018). Chinese cross-border E-commerce overview. https://agencychina.com/blog/chinese-cross-border-e-commerce-overview
  • Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified theory of acceptance and use of technology. Journal Of Business Research, 67(11), 2282–2290. https://doi.org/10.1016/j.jbusres.2014.06.016
  • Aladwani, A., & Palvia, P. (2002). Developing and validating an instrument for measuring user-perceived web quality. Information & Management, 39(6), 467–476. https://doi.org/10.1016/S0378-7206(01)00113-6
  • Alam, S., Geller, A., Meyer, R., & Werth, B. (2010). Modelling contextualized reasoning in complex societies with “endorsements. Journal of Artificial Societies and Social Simulation, 13(4), 1–26. https://doi.org/10.18564/jasss.1667
  • Alam, S., & Meyer, R. (2010). Comparing two sexual mixing schemes for modelling the spread ofHIV/AIDS. In K. Takadama, C. Cioffi-Rivella, and G. Deffuant (Eds.), The Second World Congress on Social Simulation (WCSS’08). Springer-Verlag. pp 65–76.
  • Axelrod, R. (1997). Advancing the art of simulation in the social sciences. Complexity, 3(2), 16–22. https://doi.org/10.1002/(SICI)1099-0526(199711/12)3:2<16::AID-CPLX4>3.0.CO;2-K
  • Barthélemy, O. (2006). Untangling scenario components with agent based modelling: An example of social simulations of water demand forecasts [ Ph.D. thesis]. Center for Policy Modelling, Manchester Metropolitan University.
  • Belanger, F., Hiller, J., & Smith, W. (2002). Trustworthiness in electronic commerce: The role of privacy, security, and site attributes. The Journal of Strategic Information Systems, 11(3–4), 245–270. https://doi.org/10.1016/S0963-8687(02)00018-5
  • Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14(3), 350–362. https://doi.org/10.1086/209118
  • Centre for Policy Modelling. (2019). Workshop on cognitive modules for NetLogo. http://cfpm.org/news/234/workshop-on-cognitive-modules-for-netlogo-23-sept-socsim-2019-mainz
  • Chen, Z., Li, H., Kong, C. W., Hong, J., & Xu, Q. (2006a). Process simulation for e-commerce system. In Khosrow-Pour, Mehdi, Encyclopedia of e-commerce, e-government, and mobile commerce. Idea Group Reference, pp. 933–940.
  • Chen, Z., Li, H., Kong, S. C. W., Hong, J., & Xu, Q. (2006b). E-commerce system simulation for construction and demolition waste exchange. Automation in Construction, 15(6), 706–718. https://doi.org/10.1016/j.autcon.2005.09.003
  • Chen, L., & Tan, J. (2004). Technology adaptation in e-commerce. European Management Journal, 22(1), 74–86. https://doi.org/10.1016/j.emj.2003.11.014
  • Chevalier, J., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal Of Marketing Research, 43(3), 345–354. https://doi.org/10.1509/jmkr.43.3.345
  • Cohen, P. (1985). Heuristic reasoning about uncertainty: An artificial intelligence approach. (Pitman Publishing, Inc).
  • Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm. Prentice-Hall.
  • Doney, P., & Cannon, J. (1997). An examination of the nature of trust in buyer–seller relationships. Journal Of Marketing, 61(2), 35–51. https://doi.org/10.1177/002224299706100203
  • Doney, P., Cannon, J., & Mullen, M. (1998). Understanding the influence of national culture on the development of trust. The Academy Of Management Review, 23(3), 601–620. https://doi.org/10.5465/amr.1998.926629
  • Edmonds, B. (2003). Towards an ideal social simulation language. In J. S. Sichman, F. Bousquet, & P. Davidsson (Eds.), Multi-agent-based simulation II. MABS 2002. Lecture notes in computer science (Vol. 2581, pp. 105–124). Springer. https://doi.org/10.1007/3-540-36483-8_8
  • Eldabi, T., Irani, Z., Paul, R. J., & Love, P. E. (2002). Quantitative and qualitative decision-making methods in simulation modelling. Management Decision, 40(1), 64–73. https://doi.org/10.1108/00251740210413370
  • Escobar-Rodríguez, T., & Bonsón-Fernández, R. (2017). Analysing online purchase intention in Spain: Fashion e-commerce. Information Systems And E-Business Management, 15(3), 599–622. https://doi.org/10.1007/s10257-016-0319-6
  • Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. (2014). Trust, satisfaction, and online repurchase intention: The moderating role of perceived effectiveness of e-commerce institutional mechanisms. MIS Quarterly, 38(2), 407–427. https://doi.org/10.25300/misq/2014/38.2.04
  • The Free Dictionary. (2020a, January 5). Word of mouth. https://www.thefreedictionary.com/word+of+mouth
  • Galán, J. M., López-Paredes, A., & Del Olmo, R. (2009). An agent-based model for domestic water management in Valladolid metropolitan area. Water Resources Research, 45(5), 17. https://doi.org/10.1029/2007wr006536
  • Galán, J. M., Pérez, T., Del Olmo, R., & López, A. (2008,September 3–5). Análisis de la difusión de comportamiento en un modelo de consumo de agua doméstica mediante simulación basada en agentes. II International Conference on Industrial Engineering and Industrial Management XII Congreso de Ingeniería de Organización, Burgos, Spain. (ADINGOR). pp. 25-34.
  • Geller, A., & Moss, S. (2017). Modeling power and authority: An emergentist view from Afghanistan. In B. Edmonds & R. Meyer Eds., Simulating social complexity (2nd ed., pp. 721–762). Springer. https://doi.org/10.1007/978-3-319-66948-9
  • Gilbert, N. (2010). Computational social science. Sage Publications.
  • Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist. Open University Press.
  • GitHub. (2021, October 28). ruthmore/netlogo-factbase. https://github.com/ruthmore/netlogo-factbase
  • Grimm, V., Railsback, S., Vincenot, C. E., Berger, U., Gallagher, C., DeAngelis, D., Edmonds, B., Ge, J., Giske, J. L., Groeneveld, J., Johnston, A., Milles, A., Nabe-Nielsen, J., Polhill, G., Radchuk, V., Rohwäder, M., Stillman, R., Thiele, J., & Ayllón, D. (2020). The ODD protocol for describing agent-based and other simulation models: A Second update to improve clarity, replication, and structural realism. Journal of Artificial Societies and Social Simulation, 23(2), 7. https://doi.org/10.18564/jasss.4259
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
  • Hristoski, I. S., Mitrevski, P. J., Dimovski, T., & Rendevsk, N. (2015, October). Estimating e-commerce revenues by web-based simulation and system dynamics approach. 5th International Conference on Applied Internet and Information Technologies (AIIT 2015), Zrenjanin, Serbia (University of Novi Sad, Technical Faculty ”Mihajlo Pupin).
  • Hwang, Y. (2010). The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation. Computers in Human Behavior, 26(6), 1753–1760. https://doi.org/10.1016/j.chb.2010.07.002
  • Insight Maker. (2021, July 9). Insight Maker. https://insightmaker.com/
  • Jarvenpaa, S., & Todd, P. (1996). Consumer reactions to electronic shopping on the World Wide Web. International Journal Of Electronic Commerce, 1(2), 59–88. https://doi.org/10.1080/10864415.1996.11518283
  • Jensen, J. (2011). Shopping orientation and online travel shopping: The role of travel experience. International Journal of Tourism Research, 14(1), 56–70. https://doi.org/10.1002/jtr.835
  • Kiczales, G., Lamping, J., Vidiera, C., Meada, C., Mendhekar, A., & Murphy, G. (1997). Open implementation design guidelines. In R. Adrion & (Ed.), Proceedings of the 19th International Conference on Software Engineering (ICSE ‘97), Boston Massachusetts USA. (pp. 481–490). Association for Computing Machinery. https://doi.org/10.1145/253228.253431
  • Kini, A., & Choobineh, J. (1998). Trust in electronic commerce: Definition and theoretical considerations. Proceedings Of the Thirty-First Hawaii International Conference on System Sciences, 4. Hawaii: IEEE Computer Society, (pp. 51–61). https://doi.org/10.1109/hicss.1998.655251
  • Koo, D. M. (2016). Impact of tie strength and experience on the effectiveness of online service recommendations. Electronic Commerce Research and Applications, 15(1), 38–51. https://doi.org/10.1016/j.elerap.2015.12.002
  • Lang, B., & Hyde, K. (2013). Word of mouth: What we know and what we have yet to learn. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 26(Nº 1), 1–18. http://jcsdcb.com/index.php/JCSDCB/article/view/136
  • Leger, P. (2020). ABME-market: An Agent-Based Model (ABM) to simulate the selection of market websites by consumers based on theories of endorsements and word of mouth, Github. https://github.com/pleger/ABME-market
  • Letia, I. A., & Slavescu, R. R. (2012). Logic-based reputation model in e-commerce simulation. Journal of Artificial Societies and Social Simulation, 15(3), 7. https://doi.org/10.18564/jasss.2024
  • Li, Z., & Guo, M. (2019). Research on improving the service quality of B2C cross-border e-commerce enterprises. In Z. Y. Ch. Cheng-Chen, and H. Chunyan (eds), Proceedings Of The 2019 International Conference On Economic Management And Cultural Industry (ICEMCI 2019), Shenzhen, China, (pp. 30–33). Atlantis Press. https://doi.org/10.2991/aebmr.k.191217.006
  • Li, X., & Kai-Ling, P. (2016, August). Modeling and simulation of e-commerce steel logistics system based on Arena. Advances in economics, business and management research (pp. 35–40) (Proceedings of the 3rd International Conference on Management Science and Management Innovation, October (MSMI 2016)), Guilin, China, (pp. 153–156). Atlantis Press. https://doi.org/10.2991/msmi-16.2016.36
  • Li, J., Zhang, J., Qu, F., & Zhao, Y. (2018). The influencing factors model of cross-border e-commerce development: A theoretical analysis. WHICEB 2018 Proceedings, (Wuhan, China.: AIS), (pp. 74). http://aisel.aisnet.org/whiceb2018/74.
  • Liao, C., Palvia, P., & Lin, H. (2006). The roles of habit and web site quality in e-commerce. International Journal Of Information Management, 26(6), 469–483. https://doi.org/10.1016/j.ijinfomgt.2006.09.001
  • Liu, C., & Arnett, K. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information & Management, 38(1), 23–33. https://doi.org/10.1016/S0378-7206(00)00049-5
  • Liu, H., Du, P., & Meng, S. (2017). Model analysis of influencing factors of cross-border e-commerce platform operation in China. Revista De La Facultad De Ingeniería U.C.V, 32(13), 442–447. https://www.researchgate.net/publication/322382126_Model_analysis_of_influencing_factors_of_cross-border_E-commerce_platform_operation_in_China.
  • Malhotra, N., Nunan, D., & Birks, D. (2017). Marketing research: An applied approach. Pearson.
  • Meyer, R. (2021, July 7). Factbase – A NetLogo extension (beta testing version). Centre for Policy Modelling. http://cfpm.org/discussionpapers/154/factbase-a-netlogo-extension
  • Moss, S. (1995). Control metaphors in the modelling of economic learning and decision-making behaviour. Computational Economics, 8(4), 283–301. https://doi.org/10.1007/BF01299735
  • Moss, S. (2000). Canonical tasks, environments and models for social simulation. Computational andMathematical Organization Theory, 6(3), 249–275. https://doi.org/10.1023/A:1009629602618
  • Moss, S., & Edmonds, B. (2005). Sociology and simulation: Statistical and qualitative cross-validation. American Journal Of Sociology, 110(4), 1095–1131. https://doi.org/10.1086/427320
  • Moss, S., Gaylard, H., Wallis, S., & Edmonds, B. (1998). SDML: A multi-agent language for organizational modelling. Computational & Mathematical Organization Theory, 4(1), 43–69. https://doi.org/10.1023/A:1009600530279
  • Mou, J., Cohen, J., Dou, Y., & Zhang, B. (2017). Predicting buyers’ repurchase intentions in cross-border e-commerce: A valence framework perspective. In I. Ramos, V. Tuunainen, and H. Krcmar (eds), Proceedings of the 25th European Conference on Information Systems, ECIS 2017, (pp. 2382–2394). Guimarães, Portugal: AIS eLibrary. http://aisel.aisnet.org/ecis2017_rp/151
  • NetLogo (2021, October 28). NetLogo Home Page. https://ccl.northwestern.edu/netlogo/
  • Newell, A. (1990). Unified theories of cognition. Harvard University Press.
  • Newell, A., & Simon, H. (1976). Computer science as empirical inquiry: Symbols and search. Communications Of The ACM, 19(3), 113–126. https://doi.org/10.1145/360018.360022
  • Parker, C. M., & Swatman, P. M. (2001). Web-TRECS: Teaching electronic commerce. Information Technology and Management, 2(4), 459–471. https://doi.org/10.1023/A:1011406802776
  • Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457–465. https://doi.org/10.1016/S0378-7206(01)00112-4
  • Santos, J. (2003). E-service quality: A model of virtual service quality dimensions. Managing Service Quality: An International Journal, 13(3), 233–246. https://doi.org/10.1108/09604520310476490
  • Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the Web. Journal Of Interactive Marketing, 21(4), 76–94. https://doi.org/10.1002/dir.20090
  • Simon, H. (1998). Economic rationality: Adaptive artifice. In H. Simon (Ed.), The science of the artificial (3rd ed., pp. 26–50). The MIT Press.
  • Squazzoni, F. (2012). Agent-based computational sociology. Wiley. https://doi.org/10.1002/9781119954200
  • Sun, R. (2006). Cognition and multi-agent interaction: From cognitive modeling to social simulation. Cambridge University Press.
  • Tabletto. (2021, July 9). Tabletto. http://simbound.com/e-commerce-game/
  • Taylor, R. (2006). Agent-based modelling incorporating qualitative and quantitative methods: A case study investigating the impact of e-commerce upon the value chain [ Ph.D. thesis]. Center for Policy Modelling, Manchester Metropolitan University.
  • Teo, T., & Liu, J. (2007). Consumer trust in e-commerce in the United States, Singapore and China. Omega, 35(1), 22–38. https://doi.org/10.1016/j.omega.2005.02.001
  • Terán, O., Alvarez, J., Ablan, M., & Jaimes, M. (2007). Characterising emergence of landowners in a forest reserve. The Journal of Artificial Societies and Social Simulation, 10(3), 6. https://www.jasss.org/10/3/6.html
  • Van der Merwe, R., & Bekker, J. (2003). A framework and methodology for evaluating e-commerce Web sites. Internet Research, 13(5), 330–341. https://doi.org/10.1108/10662240310501612
  • Vriens, M., Wedel, M., & Sándor, Z. (2001). Split-questionnaire designs: A new tool in survey design and panel management. Marketing Research, 13(2), 14. https://www.proquest.com/scholarly-journals/split-questionnaire-designs-new-tool-survey/docview/202675143/se-2?accountid=17225.
  • Werth, B. (2010). Uncertainty in the IT Sector of large business organizations [ Ph.D. thesis]. Center for Policy Modelling, Manchester Metropolitan University.
  • Wikipedia. (2020b, January 5). Word of mouth https://en.wikipedia.org/wiki/Word_of_mouth
  • Wirtz, J., & Chew, P. (2002). The effects of incentives, deal proneness, satisfaction and tie strength on word-of-mouth behaviour. International Journal of Service Industry Management, 13(2), 141–162. https://doi.org/10.1108/09564230210425340
  • Zhu, W., Mou, J., & Benyoucef, M. (2019). Exploring purchase intention in cross-border E-commerce: A three stage model. Journal Of Retailing And Consumer Services, 51(Nº1), 320–330. https://doi.org/10.1016/j.jretconser.2019.07.004

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.