Gamification of Electronic Negotiation Training: Effects on Motivation,Behaviour and Learning

Group Decision and Negotiation - Organisations are involved in various types of negotiation. As digitalisation advances, such business negotiations are to a large extent electronic negotiations....     

B2B Negotiation Support: The Need for a Communication Perspective

Negotiation support is an important challenge for business-to-business e-commerce that is still poorly supported in current information systems. One reason is that negotiation processes are much harder to formalize than the business processes in the fulfilment phase. The goal of this paper is to provide the basis for a formal analysis of different types of electronic negotiations which can help developers of future negotiation support systems. The analysis is performed from a communication perspective, in particular, Habermas' theory of communicative action. Using this perspective, a distinction can be made between norm-oriented, goal-oriented and document-based negotiation. Whereas traditional modeling methods take a data-oriented view, the theory of communicative action supports a communication-oriented view that provides more insight in the logic of negotiation processes. The analysis forms the basis for the negotiation support prototype implemented within the ESPRIT project MeMo (Mediating and Monitoring Electronic Commerce) which was aimed at B2B e-commerce for SMEs in Europe.     

Fuzzy Negotiation Solutions of n-Person Cooperative Games by Knowledge Engineering in Bargaining

A model for negotiation is developed upon the basis of a previous model called Fuzzy Negotiation Solution by Knowledge Engineering. The new model, called Compensatory Negotiation Solution by Knowledge Engineering and FNSKE are based on the combination of knowledge of experts in negotiation, rather than on classical notions of rationality. The experts in negotiation present four propositions in a non-mathematical way and with a natural language, according to the theory of Knowledge Engineering. In the CNSKE model, knowledge is represented through logic predicates, and the calculations are made using the Compensatory Fuzzy Logic system. CFL is a system whose operators satisfy the axioms of Utility. The CFL operators, especially because of the compensation property, are more adequate than the norm and co-norm’s operators to model human decision-making, according to empirical results. The Good Deal Index in CNSKE is statistically estimated from the GDI in FNSKE. This is a quantitative index, which provides the solution concept. The fuzzy function f(C) represents the likelihood the players of a coalition C to reach an agreement into this coalition. Counterpart Convenience Indexes 1, 2 allow each player to select the best coalition for negotiation. The advantage of CNSKE over FNSKE is that the idempotency of conjunction and disjunction operators give every membership function -obtained from the predicates- the possibility to be interpreted by itself. Hence, the truth-values of the CNSKE membership functions can be semantically interpreted. In addition, CNSKE can be easily applied to solve real negotiation problems.     

世界贸易组织多哈回合谈判受挫原因及启示

文章指出,世界贸易组织最主要的职能是组织和推动多边贸易谈判,多哈回合是世界贸易组织成立以来的第一轮多边贸易谈判,自启动至今屡遭挫折,其主要原因是:区域经济一体化组织深入发展,世界经济力量对比发生了变化;谈判领域和内容越来越敏感,改革接近零和博弈;谈判中发展中成员联合程度提高,影响力扩大;世界贸易组织自身决策机制等存在缺陷。文章提出,为促进世界贸易自由化发展,世界贸易组织应加快改革进程,慎重增加谈判议题,扩大管辖范围;切实做好现有规则和协议的执行与落实;改革决策机制,提高解决现实问题的效率;平衡各方利益,进一步增强世界贸易组织的民主性和公平性,以继续发挥自由贸易主导者和推动者的作用。     

The Effects of Framing on Inter-group Negotiation

The present paper explores the way in which groups cognitively represent information framed as danger and the way in which such collective cognitive representations influence group performance during inter-group negotiations. One hundred and two participants were distributed over 34 three-person groups and were involved in a negotiation game developed by Lewicki et al. (1999, Negotiation: readings, exercises and cases. McGraw-Hill, Boston). The groups were organized in 17 pairs and each pair played the negotiation game in two rounds. The game rules and the available resources were the same for both groups, but one of the groups in each pair received the game information framed as “danger”, while the other group in the pair received a neutral framing. The groups with a “danger” frame developed a more defensive strategy during negotiations, adopted more often a collaborative approach and had a significantly lower performance as compared to the groups in the non-framing condition.     

Two-Party Negotiation Modeling: An Integrated Fuzzy Logic Approach

Game theoretic models attempted to predict unique equilibrium outcomes of negotiations with limited success. The imprecise character of negotiation is often altered to fit the game theorist's exacting approach. Alternative models deviated from the formal game theoretic approach and attempted to accommodate concepts such as negotiator power and time pressure. In this paper, we introduce a model which uses a fuzzy logic approach to deal with the imprecision in the negotiation process and to integrate several negotiation theories. The new model is used to simulate multiple-issue, two-party negotiations and results are consistent with established negotiation theories.     

Negotiation protocol based on ordered weighted averaging and Fuzzy metrics

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.     

Evolving and Taking CATNAPS to Negotiation/Problem Stories

In this GDN 2010 meeting commentary, the author presents an overview of CATNAPS (Connectedness And Technology for Negotiation And Problem Solving)—as a technology framework for evolving “right” problems/solutions in individual and group negotiation and problem solving. Although the focus in this commentary is mostly on humans, negotiators (agents) may be humans or computers. We consider taking CATNAPS to negotiation/problem stories meaning applying CATNAPS to various specific problems, negotiation/problem stories.     

Negotiation Based on Fuzzy Logic and Knowledge Engineering: Some Case Studies

One of the most recent mathematical models for negotiation is the Compensatory Negotiation Solution by Knowledge Engineering (CNSKE). In this model a logic system called Compensatory Fuzzy Logic was used, which is more adequate to solve problems of decision making than the classical one probabilistic fuzzy logic system. The idempotency axiom of this system and the continuity of the operators allow the truth-values of the membership function to have a cardinal and not exclusively ordinal semantic meaning. On the other hand, continuity also makes ‘sensible’ the truth-values of the predicates. The aim of this paper is to illustrate the advantages of the CNSKE over other approaches in Game Theory. To show these advantages, some case studies are analyzed, consisting on the solution of three problems in which CNSKE is applied in economic and politic cases of negotiation, and compared with other alternative approaches.     

Analyzing the Multiple Dimensions of Negotiation Processes

Negotiation processes involve a substantive, a communication, and an emotional dimension. These dimensions have been analyzed mainly in isolation of each other. We introduce an approach to consider all three dimensions and present an empirical study on the relations between these dimensions. Results indicate a strong linkage between communication behavior and emotions, while connections to the substantive dimension of the negotiation process are weaker.     

A Secure and Fair Protocol that Addresses Weaknesses of the Nash Bargaining Solution in Nonlinear Negotiation

Negotiation with multiple interdependent issues is an important problem since much of real-world negotiation falls into this category. This paper examines the problem that, in such domains, agent utility functions are nonlinear, and thereby can create nonconvex Pareto frontiers. This in turn implies that the Nash Bargaining Solution, which has been viewed as the gold standard for identifying a unique optimal negotiation outcome, does not serve that role in nonlinear domains. In nonlinear domains, unlike linear ones, there can be multiple Nash Bargaining Solutions, and all can be sub-optimal with respect to social welfare and fairness. In this paper, we propose a novel negotiation protocol called SFMP (the Secure and Fair Mediator Protocol) that addresses this challenge, enabling secure multilateral negotiations with fair and pareto-optimal outcomes in nonlinear domains. The protocol works by (1) using nonlinear optimization, combined with a Multi-Party protocol, to find the Pareto front without revealing agent’s private utility information, and (2) selecting the agreement from the Pareto set that maximizes a fair division criterion we call approximated fairness. We demonstrate that SFMP is able to find agreements that maximize fairness and social welfare in nonlinear domains, and out-performs (in terms of outcomes and scalability) previously developed nonlinear negotiation protocols.     

The Effects of Personalised Negotiation Training on Learning and Performance in Electronic Negotiations

Individuals have different learning styles and thus require different methods for knowledge acquisition. Whereas learning theories have long acknowledged this fact, personalised negotiation trainings especially for electronic negotiations have rarely been developed. This paper integrates learning styles and negotiation styles and reports on an implementation of this integration. We will discuss personalised negotiation trainings, namely an enactive training and a vicarious training, that we developed to match the learners’ learning styles. Such a matching is proposed to be beneficial regarding learning outcomes. Furthermore, positive effects on the dyadic negotiation outcomes are assumed. To this end, an experiment with participants from different European countries was conducted. The results show tendencies that personalised negotiation trainings lead to better skill acquisition during the training and also to fairer negotiation outcomes. Overall, this paper contributes an integration of the theories on individual differences from the domains of negotiation and learning as well as valuable insights for further experiments on individual differences in negotiations.     

Meta-level Coordination for Solving Distributed Negotiation Chains in Semi-cooperative Multi-agent Systems

A negotiation chain is formed when multiple related negotiations are spread over multiple agents. In order to appropriately order and structure the negotiations occurring in the chain so as to optimize the expected utility, we present an extension to a single-agent concurrent negotiation framework. This work is aimed at semi-cooperative multi-agent systems, where each agent has its own goals and works to maximize its local utility; however, the performance of each individual agent is tightly related to other agents’ cooperation and the system’s overall performance. We introduce a pre-negotiation phase that allows agents to transfer meta-level information. Using this information, the agent can improve the accuracy of its local model about how other agents would react to the negotiations. This more accurate model helps the agent in choosing a better negotiation solution for a distributed negotiation chain problem. The agent can also use this information to allocate appropriate time for each negotiation, hence to find a good ordering of all related negotiations. The experimental data show that these mechanisms improve the agents’ and the system’s overall performance significantly.     

How Much Do We Say? Using Informativeness of Negotiation Text Records for Early Prediction of Negotiation Outcomes

Business negotiations represent a form of communication where informativeness, i.e., the amount of provided information, depends on context and situation. In this study, we hypothesize that relations exist between language signals of informativeness and the success or failure of negotiations. We support our hypothesis through linguistic and statistical analysis which acquires language patterns from records of electronic text-based negotiations. Empirical results of machine learning experiments show that the acquired patterns are useful for early prediction of negotiation outcomes.     

E-Alliance: A Negotiation Infrastructure for Virtual Alliances

In this paper we provide an overview of E-Alliance, a software infrastructure we are developing to support negotiation activities in concurrent inter-organisational alliances. Our baseline is to offer a collaboration framework which fully preserves the autonomy of organisations grouped in an alliance, while enabling concurrency of their activities, flexibility of their negotiations and dynamic evolution of their environment. We propose to support negotiation between the partners within such alliances by combining different technologies, such as software engineering techniques, middleware-level coordination facilities and multiagent systems support. We present our approach in the context of a sample scenario of an alliance where partners are printshops capable of (out/in) sourcing print jobs among them to better accomplish their customers' requests.     

Negotiator Satisfaction in NSS-Facilitated Negotiation

Negotiator satisfaction plays an important role in the adoption and diffusion of Negotiation Support Systems (NSS). There is little knowledge about what factors shape the negotiator satisfaction in the NSS context. In this study, we investigated this factor from the perspectives of negotiator and end-user of NSS. We proposed a research model of negotiator satisfaction by incorporating negotiation outcomes and negotiator perception of the system and negotiation process. The empirical findings with 116 data points indicated that objective confirmation, perceived fairness, perceived control and perceived collaborative atmosphere significantly influence negotiator satisfaction. The implications of this study are discussed.     

中国商务谈判行为分析

商务谈判是商务活动中的一个必不可少的组成部分。为研究中国商务谈判行为,以北京、温州和邯郸三个城市几十家企业102组商务模拟谈判为依据进行分析,数据结果揭示了中国商务谈判者的个人特征、谈判策略及谈判气氛等因素对谈判结果所产生的影响,以及这些因素之间的相互作用。