{"title":"Negotiation protocol based on ordered weighted averaging and Fuzzy metrics","authors":"José Leão e Silva Filho, Danielle Costa Morais","doi":"10.1080/10919392.2019.1587230","DOIUrl":null,"url":null,"abstract":"ABSTRACT Negotiation Support Systems are used to exchange offers and to improve the negotiation process. Some methods are based on perspectives like heuristics in order to bring the negotiation protocol gradually closer to reality. These approaches can be important in real negotiation as they can help to improve skillsespecially in distributive bargaining. This paper proposes a Negotiation Support framework to provide the negotiator with recommendations on making decisions in a negotiation process. To input this idea into negotiation protocols, this paper suggests that some concepts based on OWA (Ordered Weighted Averaging) and some of its metrics (Orness, Dispersion) be included in the heuristics of a structured negotiation schedule. It is expected that the support provided will aid the negotiator to make decisions during the negotiation process, to learn from the elicitation and his own behavior the results obtained can help the negotiator improving his skills in the negotiation process.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"40 1","pages":"190 - 208"},"PeriodicalIF":2.0000,"publicationDate":"2019-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Organizational Computing and Electronic Commerce","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10919392.2019.1587230","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT Negotiation Support Systems are used to exchange offers and to improve the negotiation process. Some methods are based on perspectives like heuristics in order to bring the negotiation protocol gradually closer to reality. These approaches can be important in real negotiation as they can help to improve skillsespecially in distributive bargaining. This paper proposes a Negotiation Support framework to provide the negotiator with recommendations on making decisions in a negotiation process. To input this idea into negotiation protocols, this paper suggests that some concepts based on OWA (Ordered Weighted Averaging) and some of its metrics (Orness, Dispersion) be included in the heuristics of a structured negotiation schedule. It is expected that the support provided will aid the negotiator to make decisions during the negotiation process, to learn from the elicitation and his own behavior the results obtained can help the negotiator improving his skills in the negotiation process.
期刊介绍：
The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas.
JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business.
Theoretical, experimental, survey, and design science research are all welcome and might look at:
• E-commerce
• Collaborative commerce
• Interorganizational systems
• Enterprise systems
• Supply chain technologies
• Computer-supported cooperative work
• Computer-aided coordination
• Economics of organizational computing
• Technologies for organizational learning
• Behavioral aspects of organizational computing.
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