Towards a Structured Design of Electronic Negotiations

Global communication networks and advances in information technology enable the design of information systems facilitating effective formulation and efficient resolution of negotiation problems. Increasingly, these systems guide negotiators in clarifying the relevant issues, provide media for offer formulation and exchange, and help in achieving an agreement. In practice, the task of analysing, modelling, designing and implementing electronic negotiation media demands a systematic, traceable and reproducible approach. An engineering approach to media specification and construction has these characteristics. In this paper, we provide a rationale for the engineering approach that allows pragmatic adoption of economic and social sciences perspectives on negotiated decisions for the purpose of supporting and undertaking electronic negotiations. Similarities and differences of different theories that underlie on-going studies of electronic negotiations are identified. This provides a basis for integration of different theories and approaches for the specific purpose of the design of effective electronic negotiations. Drawing on diverse streams of literature in different fields such as economics, management, computer, and behavioural sciences, we present an example of an integration of three significant streams of theoretical and applied research involving negotiations, traditional auctions and on-line auctions.     

Design and Implementation of Business Objects for Automated Business Negotiations

In recent years, there has been increasing interest in the specification, generation and exchange of business objects in the context of electronic commerce. Common business objects have been defined for product catalogs, purchase orders and other business entities. However, no business objects have been defined and implemented for supporting automated business negotiations even though business negotiation is very much an integral part of business activities. In this work, we have designed and implemented a set of business negotiation objects for supporting the bargaining type of business negotiations. These objects define the operations and information contents needed for negotiation parties to express their requirements and constraints during a bargaining process. They correspond to a set of negotiation primitives, which is a superset of the negotiation-related primitives defined in two popular languages: ACL and COOL. The implementation of these objects is patterned after the business object documents in the XML format proposed by the Open Applications Group, thus conforming to the established standard. The incorporation of several types of constraint specifications in these business negotiation objects provides the negotiation parties and the negotiation servers that represent them much expressive power in specifying callforproposals and proposals. Two synchronization problems and their solutions associated with the withdrawal and modification of negotiation proposals are addressed and presented in this paper. The use of these business negotiation objects in a bilateral bargaining protocol is also presented. We have validated the utility of these objects in an integrated network environment, which consists of two replicated negotiation servers, two commercial products, and some other university research systems that form a supply chain.     

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.     

Strategies and language trends in learning success and failure of negotiation

In negotiation by electronic means, language is an important deal-making tool which helps realize negotiation strategies. Negotiators may use language to request information, exchange offers, persuade, threaten, as well as reach a compromise or find prospective partners. All this is recorded in texts exchanged by negotiators. We explore the language signals of strategies—argumentation, persuasion, negation, proposition. Leech and Svartvik’s approach to language in communication gives our study the necessary systematic background. It combines pragmatics, the communicative grammar and the meaning of English verbs. Language signals become features in the task of classifying those texts. We employ Statistical Natural Language Processing and Machine Learning techniques to find general trends that negotiation texts exhibit. Our hypothesis is that language signals help predict negotiation outcomes. We run experiments on the Inspire data. The electronic negotiation support system Inspire was gathering data for several years. The data include text messages which negotiators may exchange while trading offers. We conduct a series of Machine Learning experiments to predict the negotiation outcome from the texts associated with first halves of negotiations. We compare the results with the classification of complete negotiations. We conclude the paper with an analysis of the results and a list of suggestions for future work.     

The Effects of Multimedia Communication on Web-Based Negotiation

With the rapid growth of electronic commerce, there is growing demand forremote online negotiations. Although the Internet now enables audio and video communication, most Web-based negotiation systems are still text-based. There is, however, a lack of research on the effects of multimedia on remote negotiations. In this paper, we present a theoretical model to investigate the impacts of multimedia communication in an online negotiation setting. The constructs in our model include communication efficiency, communication effectiveness, and positive and negative social-emotional communication. Through a simulated house purchasing negotiation experiment, we study how different multimedia combinations (text only; text with audio; text with audio and video) affect our constructs and thus further influence negotiation results. Our results showed that both text with audio and text with audio and video communication were significantly preferred to text alone. However, the addition of video to text and audio communication in a negotiation environment was not found to be beneficial. It did not significantly improve communication efficiency, effectiveness or positive social-emotional communication, but distracted negotiators from focusing on the negotiation task. Our analysis also revealed that the communication efficiency construct did not correlate with the perceived success of the negotiation solution; however communication effectiveness and social-emotional communication did correlate with negotiation satisfaction.     

Data-Driven Phase Analysis of E-negotiations: An Exemplary Study of Synchronous and Asynchronous Negotiations

In this empirical study, we present a new method for analyzing coded and categorized data of negotiation protocols. By applying a data-driven identification of negotiation phases we are able to identify endogenous dynamics of negotiation processes and to combine advantages of both, episodic and stage models of phase analysis. We present an exemplary study in which we compare processes of synchronous and asynchronous electronic negotiations. This analysis shows that, while synchronous negotiations follow a phase model similar to sequential stage models as discussed for face-to-face negotiations, asynchronous negotiations show less evidence of such a structure.     

Social Embeddedness in Electronic Negotiations

This study contributes to electronic negotiation research by analyzing the role of social embeddedness of actors in a controlled laboratory experiment. In particular, we analyze the effect of prior negotiator relationship in different conflict levels in web-based negotiations. We hypothesize that with increasing intensity of conflicts, negotiators who have a personal relationship use more value creating strategies compared to anonymous negotiators. As a consequence, we also hypothesize to find fewer impasses in electronic negotiations involving subjects who are socially embedded. Our results confirm that, in fact, in severe conflicts socially embedded actors reach significantly more agreements than subjects of the control group while such an effect is not found in weak conflict situations. These findings are related to more yielding between embedded actors but not to more value creating behavior. From these results, we can conclude that socially embedded negotiators better manage to reach agreements in difficult situations. Furthermore, an institutionalized pre-negotiation phase which allows negotiators to establish a personal relationship can counteract the threat of impasses.     

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.     

Hot Versus Cool Behavioural Styles in Electronic Negotiations: The Impact of Communication Mode

In this paper, we study the effects of synchronous and asynchronous communication mode on electronic negotiations. By applying content analysis, we compare the negotiation processes of two e-negotiation simulations conducted in a synchronous and an asynchronous setting. Our results show significant differences in communication behaviour of subjects. Synchronous negotiation mode leads to less friendly, more affective, and more competitive negotiation behaviour. In the asynchronous communication mode, negotiators exchange more private and task-oriented information and are friendlier. These results suggest that negotiators in the asynchronous mode, who have more time to reflect, cool down and control emotions better while negotiators, who communicate synchronously engage more in emotional and competitive “hot” debates. In addition, negotiators in the asynchronous mode are more satisfied with the process and outcome of the negotiation. We conclude that de-individuation and escalating effects might be caused by communication mode rather than by the ability of the media to transmit social cues.     

Communication Quality in Business Negotiations

The quality of a business negotiation process is usually assessed by its economic outcome, e.g. in terms of Pareto efficiency or distance to Nash equilibrium. We argue that this assessment method is insufficient in that it fails to provide a comprehensive analysis of business negotiations. Negotiators engage in highly complex communication tasks, and these communication processes should be analysed along with the outcome in the overall evaluation of a business negotiation. To this end, we will introduce Communication Quality as a new construct for analyzing the negotiation process. Furthermore, it will be argued that Communication Quality itself can affect economic negotiation outcomes both short- and long-term. We will present relevant aspects of Communication Quality, outline a scheme for its operationalisation and measurement, and discuss its probable impacts on business negotiations.     

The Montreal Taxonomy for Electronic Negotiations

Research in the domain of electronic negotiations is a rather new and very interdisciplinary field, which gains more and more attention due to the industry hype and momentum regarding electronic commerce and electronic markets. Negotiations in a narrow sense (not taking into account simple forms such as hit and take) have been identified as an advantageous coordination mechanism for the interaction of buyers and sellers in electronic markets that transcend the selling of commodities or uniform goods. Hence, support for negotiations may become a critical success factor for electronic markets, especially regarding the recent failures of many industrial ventures. This paper presents the Montreal Taxonomy, which allows not only for the exact characterisation and comparison of a broad variety of electronic negotiation designs and systems, ranging from auctions to bilateral bargaining tables, but could also lead towards a more structured approach for the design of electronic negotiations.     

Comparative Analysis of Text Data in Successful Face-to-Face and Electronic Negotiations

Various combination of Natural Language Processing and Machine Learning methods offer ample opportunities wherever texts are an important element of an application or a research area. Such methods discover patterns and regularities in the data, seek generalization and in effect learn new knowledge. We have employed such methods in learning from a large amount of textual data. Our application is electronic negotiations. The genre of texts found in electronic negotiations may seem limited. It is an important research question whether our methods and findings apply equally well to texts that come from face-to-face negotiations. In order to confirm such more general applicability, we have analyzed comparable collections of texts from electronic and face-to-face negotiations. We present our findings on the extent of similarity between these two related but distinct genres. In this study we have analyzed similarities in the text data of electronic and face-to-face negotiations. The results show that – in certain conditions – vocabulary richness, language complexity and text predictability are similar.This is an expanded version of a paper published in the Proceedings of FINEXIN 2005 (Workshop on the Analysis of Formal and Informal Information Exchange during Negotiations), 31–42, Ottawa, Canada, May 2005.     

A Matchmaking Component for the Discovery of Agreement and Negotiation Spaces in Electronic Markets

This paper presents the design of an extended matchmaking component for electronic markets, which is able to identify negotiable agreements and the issues that are subject to the negotiation, in the case where basic matchmaking fails to find agreements that satisfy the constraints of the seller and the buyer. The foundation for this functionality is the introduction of negotiable constraints within the offer specification process. The extended matchmaking component complements our SilkRoad design and implementation framework for electronic negotiations. This framework also features other negotiation service components such as a mediation service, which may use the feedback from the extended matchmaking operation on agreement candidates and negotiation spaces, to suggest fair agreements on the basis of the Adjusted Winner algorithm for dispute resolution.     

Concessions Dynamics in Electronic Negotiations: A Cross-Lagged Regression Analysis

We analyze concession patterns in electronic negotiations using a modified version of the Actor–Partner Interdependence Model (APIM). Our extension of the APIM takes into account that concessions in negotiations can only be evaluated in terms of utilities of the receiving side. We show that actor and partner effects in that model can directly be related to central concepts of negotiation theory such as cooperative versus distributive bargaining tactics and reciprocity. Based on this connection, we formulate hypotheses on the differences of actor and partner effects between successful and failed negotiations. We test these hypotheses on two existing data sets. Results show consistent and strong actor effects, while partner effects are only present in specific settings.     

On automated e‐business negotiations: Goal,policy, strategy,and plans of decision and action

In recent years, there has been increasing interest in automated e‐business negotiations. The automation of negotiation requires a decision model to capture the negotiation knowledge of policymakers and negotiation experts so that the decision‐making process can be carried out automatically. Current research on automated e‐business negotiations has focused on defining low‐level tactics (or negotiation rules) so that automated negotiation systems can carry out automated negotiation processes. These low‐level tactics are usually defined from a technical perspective, not from a business perspective. There is a gap between high‐level business negotiation goals and low‐level tactics. In this article, we distinguish the concepts of negotiation context, negotiation goals, negotiation strategy, and negotiation tactics and introduce a formal decision model to show the relations among these concepts. We show how high‐level negotiation goals can be formally mapped to low‐level tactics that can be used to affect the behavior of a negotiation system during the negotiation process. In business, a business organization faces different negotiation situations (or contexts) and determines different sets of goals for different negotiation contexts. In our decision model, a business policymaker sets negotiation goals from different perspectives, which are called goal dimensions. A negotiation policy is a functional mapping from a negotiation context to some quantitative measures (or goal values) for the goal dimensions to express how competitive the policymaker wants to reach that set of goals. A negotiation expert who has the experience and expertise to conduct negotiations would define the negotiation strategies needed for reaching the negotiation goals. Formally, a negotiation strategy is a functional mapping from a set of goal values to a set of decision‐action rules that implement negotiation tactics. The selected decision‐action rules can then be used to control the execution of an automated negotiation system, which conducts a negotiation on behalf of a business organization.     

Negotiation Engineering: A Quantitative Problem-Solving Approach to Negotiation

Although they are often complex, negotiations are practical problems that can be solved with the aid of specialized, ad hoc methods. We introduce a problem-solving approach to difficult negotiations inspired by the established solution-oriented discipline of engineering, which we term “Negotiation Engineering”. It is based on the reduction of problems to their most formal structures and the heuristic application of quantitative methods for problem solving. We argue that mathematical language in negotiations helps to increase logical accuracy in negotiation analysis and allows for the use of a variety of existing helpful mathematical tools to achieve a negotiation agreement. We demonstrate the practicability and usefulness of this approach using four case studies in the area of international diplomacy in which Negotiation Engineering was applied to achieve negotiation solutions.