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Business E-NeGotiAtion: A Method Using a Genetic Algorithm for Online Dispute Resolution in B2B Relationships
Journal of Theoretical and Applied Electronic Commerce Research ( IF 5.1 ) Pub Date : 2021-03-31 , DOI: 10.3390/jtaer16050067
Nikola Simkova , Zdenek Smutny

An opportunity to resolve disputes as an out-of-court settlement through computer-mediated communication is usually easier, faster, and cheaper than filing an action in court. Artificial intelligence and law (AI & Law) research has gained importance in this area. The article presents a design of the E-NeGotiAtion method for assisted negotiation in business to business (B2B) relationships, which uses a genetic algorithm for selecting the most appropriate solution(s). The aim of the article is to present how the method is designed and contribute to knowledge on online dispute resolution (ODR) with a focus on B2B relationships. The evaluation of the method consisted of an embedded single-case study, where participants from two countries simulated the realities of negotiation between companies. For comparison, traditional negotiation via e-mail was also conducted. The evaluation confirms that the proposed E-NeGotiAtion method quickly achieves solution(s), approaching the optimal solution on which both sides can decide, and also very importantly, confirms that the method facilitates negotiation with the partner and creates a trusted result. The evaluation demonstrates that the proposed method is economically efficient for parties of the dispute compared to negotiation via e-mail. For a more complicated task with five or more products, the E-NeGotiAtion method is significantly more suitable than negotiation via e-mail for achieving a resolution that favors one side or the other as little as possible. In conclusion, it can be said that the proposed method fulfills the definition of the dual-task of ODR—it resolves disputes and builds confidence.

中文翻译:

商业电子谈判:使用遗传算法解决B2B关系中的在线争议的方法

与通过法院进行诉讼相比,通过计算机介导的通信解决纠纷作为庭外和解的机会通常更容易,更快和更便宜。人工智能和法律(AI和法律)研究在这一领域变得越来越重要。本文介绍了一种用于企业对企业(B2B)关系中的辅助协商的E-NeGotiAtion方法的设计,该方法使用遗传算法来选择最合适的解决方案。本文的目的是介绍该方法的设计方式,并着重介绍B2B关系,以帮助您了解有关在线争议解决(ODR)的知识。该方法的评估包括一个嵌入式的单案例研究,来自两个国家的参与者模拟了公司之间谈判的现实。为了比较,还通过电子邮件进行了传统的协商。评估证实了所提出的E-NeGotiAtion方法可以快速实现解决方案,接近双方都可以决定的最佳解决方案,并且非常重要的是,还可以确认该方法有助于与合作伙伴进行协商并产生可信赖的结果。评估表明,与通过电子邮件进行谈判相比,该方法对于争端各方在经济上是有效的。对于具有五个或更多产品的更复杂的任务,使用E-NeGotiAtion方法要比通过电子邮件进行协商来实现尽可能少地有利于一方或另一方的解决方案更为合适。总之,可以说,所提出的方法满足了ODR双重任务的定义-它解决了争端并建立了信心。
更新日期:2021-03-31
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