Personality Traits and Peace Negotiations: Integrative Complexity and Attitudes toward the Middle East Peace Process

Much of the literature on negotiation focuses on the effect that various personality factors, characterizing the parties or mediators involved in the process, have on negotiation outcomes. Nevertheless, there hardly can be found a study, which examines these factors with psychometrically reliable and valid tools. The present study uses psychodiagnostic projective method for measuring the personality trait known as integrative complexity, which is considered as a basic factor that connects cognitive traits to attitudes toward conflict resolution. In a sample of 26 Israeli students this trait, assessed by two Rorschach measures - the blend responses and the frequency of organizational activity - has been revealed as a personality characteristic that might explain seeking compromise agreements in negotiation. Individuals low in integrative complexity tend to rely on highly competitive and less cooperative tactics much more than highly integrative complex individuals. Projective measures for integrative complexity, assessed in this study, are suggested to test people as they are assigned to teams charged with important tasks involving complex group decisions and negotiation. In future studies of complex group decisions this psychodiagnostic approach might be used as a part of the support systems in the process of group negotiation.     

分配公平、经济效率与社会稳定的协调性研究:一个文献述评

长期以来,关于公平、效率、稳定三者内涵的讨论始终绵延不断,但已有研究重点偏向分配公平或经济效率或社会稳定等某一个问题上,没有将三者纳入一个完整的分析框架内。未来应明确界定分配公平、经济效率与社会稳定的协调性内涵与判断标准,构建三者协调性评价指标体系,探讨其协调性测度方法,并建立其协调性预警机制。     

Accessibility of Computer-based Simulation Models in Inherently Conflict-Laden Negotiations

The use of computer-based simulation models has a long history in areas such as environmental planning and policy-making, and particularly in water management. Policy making in these areas is often characterized by inherent conflict among diverse stakeholders with divergent interests. Although simulation models have been shown to be helpful for such problems, they are typically under the control of a technical analyst or governmental agency and are not available to negotiators in real time. Recent trends in computer technology and user expectations raise the possibility of real-time, user-controlled models for supporting negotiation. But is such accessibility likely to be helpful? This study used a "compressed" longitudinal experiment to investigate the impacts of different scenarios of accessibility of computer-based simulation models. The task was based on a real-life problem in Colorado River water management. Results revealed no significant differences among conditions for either solution quality or satisfaction. These results suggest that the common notion of "more is better" may be inappropriate, and resources for improving computer support of negotiation might best be focused elsewhere.     

A Measure of Distributive Justice in Distribution Channels: Scale Development and Validation

ABSTRACT

The construct of distributive justice has been conceptualized largely along the three allocation rules of equity, equality, and need. Extant empirical research in the marketing channels area, however, treats distributive justice as a unidimensional, global construct focusing almost exclusively on the allocation rule of equity. As a result, the measurement of equality and need, two distinct and significant allocation rules, has been largely overlooked in the context of people and organizations involved in interorganizational exchange. The current study tests a measure of distributive justice that takes into account each of the three allocation rules. Results indicate valid scales that accurately measure three rules of distributive justice across two independent samples of channel participants in franchise systems. This research represents an important step toward accurately, concisely, and efficiently measuring this important and socially relevant construct in an interorganizational setting.     

Loss Aversion and Reference-Dependent Preferences in Multi-Attribute Negotiations

Negotiation analysis and game theoretic bargaining models usually assume parties to have exogenous preferences from the beginning of a negotiation on and independent of the history of offers made. On the contrary, this paper argues that preferences might be based on attribute-wise reference points changing during the negotiation process. Aversion against losses relative to the reference point determines negotiators’ decisions in the negotiation and after its termination. The emergence and implications of reference points in a negotiation context are motivated, exemplified, and modeled formally. Furthermore, data from an internet experiment on endogenous preferences in bilateral multi-attribute negotiations is presented. The data supports the behavioral model.     

Common Ground, Complex Problems and Decision Making

Organisations increasingly have to deal with complex problems. They often use multidisciplinary teams to cope with such problems where different team members have different perspectives on the problem, different individual knowledge and skills, and different approaches on how to solve the problem. In order to solve those problems, team members have to share their existing knowledge and construct new knowledge. Theory suggests that negotiation of common ground can positively affect team decision making on the solution of complex problems, by facilitating knowledge sharing across perspectives. In a small scale study with student groups, external representations supported by a specific negotiation ontology were used to facilitate negotiation by encouraging participants to make their beliefs and values explicit. Results showed that the external representations supported clarifying contributions to group members and increased group participation in discussions.     

Perspectives on representation and analysis of negotiation: Towards cognitive support systems

The rapid expansion of Decision and Negotiation Support Systems has been built mainly on decision-theoretic approaches. This has resulted in the decision maker being viewed through the lens of the problem. In this article, the focus is on the decision maker's view of the problem. Three levels of problem articulation are described. Special emphasis is placed on the needs level and the implications it carries for the cognitive and instrumental levels. The three levels of articulation, the organizational model of making decision in social settings, and the three basic approaches to decision making form the basis for computer support focused on understanding and change rather than preferences and outcomes. We argue that in the dynamic, interactive context characteristic of negotiations, a cognitive support system based on restructurable modeling provides a richer basis for support.     

A prototype NSS based on problem structure and suggestions toward more comprehensive negogiation support

Seeking an effective approach to supporting negotiation through the use of computer technology, we have constructed a prototype negotiation support system based on the concept of problem structure. Problem structure refers to the characteristics of the feasible settlement space and efficient frontiers as defined by the joint utility distribution of negotiators' utilities. Problem structure is recognized as playing a major role in negotiation processes and outcomes. The cognitive complexity and inherent uncertainty of typical negotiations make it difficult for negotiators to effectively visualize and “navigate” the settlement space defined by the problem structure. As a result, negotiators often resort to suboptimizing heuristics which produce inefficient and/or unsatisfying outcomes. It follows that a promising approach to negotiation support is to exploit the computational speed and graphics capabilities of computer technology to make problem structure and its implications more accessible. Thus, our prototype is designed to allow negotiators to hypothesize problem structure and to explore and manipulate the resulting settlement space quickly and easily. Preliminary experimentation has demonstrated the value of this approach and has suggested areas for extended, comprehensive support. A negotiation process formalism, Cognitive Action Theory, neural network technology, and computer simulation are well-suited to providing more comprehensive support, and we suggest an architecture for delivery through NSS.     

Defining a right problem in group decision and negotiation: Feeling and evolutionary generating procedures

It is not unusual that decision makers define and solve a wrong problem. Here we develop an operational procedure for defining a right or correct problem. A problem may be represented as—a problem representation defining a problem consists of—two evolving hierarchies of relations, as discussed in the article. Rightness in a problem representation requires rightness in these relations which are beliefs held by a decision maker. Operational definition and validation of rightness in these relations, that is, retaining them as correct, is by feeling and by specified evolutionary generating procedures for examining, changing (evolving), and retaining these relations. Based on rightness in these relations, we discuss right group problem definition and solution in the general case where information is not fully shared (nonshared) among individuals in the group. Thus, our work contributes to procedural rationality—how decisions should be or are made—in individual and group decision-making and associated group decision and negotiation support systems (GDNSS).     

Cognitive hurdles in the use of decision support systems to enhance problem understanding

Computer-assisted decision support systems have been widely promoted as a means of enhancing problem understanding in crisis and noncrisis decision making. Clinical observation of actual applications of a particular category of software for interactive decisions (CONAN, DECISIONMAKER) have identified cognitive hurdles in the use of such systems. These hurdles not only pose a challenge to the development of such normative interventions in the decision process, but also an opportunity for furthering the shift to a new psychologically informed paradigm for decision making.     

Electronic Meetings and Intense Group Conflict: Effects of a Policy-Modeling Performance Support System and an Audio Communication Support System on Satisfaction and Agreement

Ad-hoc decision teams were used to examine the effects of an electronic meeting system (EMS) on group satisfaction and agreement. The decision task provoked intense conflict of values. The EMS had two core features - a policy-modeling group performance support system (incorporating structured decision methods and computer-supported cognitive feedback using Multi-Attribute Utility Analysis and Social Judgment Analysis), and an audio-based group communication support system (allowed dispersed members to communicate by voice). Policy groups reached higher agreement than conventional decision-making groups, apparently due primarily to the structure for cognitive-conflict tasks that was imposed on group discussion rather than computer-supported cognitive feedback displays. Audio groups were more satisfied with the conflict process than face-to-face groups. Decision agreement was equivalent across the two media. These audio effects for a highly equivocal task represent a further challenge to media richness theory.     

Consciousness, Spirituality and Right Decision/Negotiation in Purposeful Complex Adaptive Systems

Both cybernetic and self-organizing, purposeful complex adaptive systems (PCAS) express purpose by solving problems defined by choosing and delivering values to participants as operational goals through decision making. Individuals, groups, organizations, and economies are PCAS. Here we focus on indviduals and groups. Evolutionary Systems Design (ESD) is a universal (culture independent) general problem solving, formal modeling/design framework for PCAS that can be computer implemented in same time/same place or telework modes. Formally, in ESD sets of elements and their relations modeling a PCAS evolve through cybernetics/self organization. Spirituality and the concept of right decision/negotiation in PCAS are discussed in relation to consciousness. Rightness comes from spirituality, i.e., consciousness experiencing oneness. Oneness is integrally bound with love; hence the term oneness/love. Through right decision/negotiation PCAS try to realize their ultimate purpose to live Two (the relative, the process of all there is) as One (the absolute, all there is). Oneness/love, connectedness to One, promotes problem solving and negotiation - expressed formally in the ESD problem representation - that is at the same time right. Simply put, right problem solving requires oneness/love and delivers oneness/love. Computer and receiver modes of consciousness are discussed in relation to oneness/love and its absence experienced as separateness/fear. Ways to transit from the latter to the former are considered. P.L. Yu's Habitual Domain (HD) framework is introduced and discussed in relation to ESD. Evolutionary heuristics for evolution of an ESD right problem representation through cybernetics/self-organization are presented based on combined HD and ESD concepts. Then operational procedures for defining and validating a right problem for an individual or group and associated right decision/negotiation outcome are considered. Thus, the work contributes to procedural rationality - how decisions should be or are made - in purposeful complex adaptive systems. The paper suggests that for humans to live fully (awake) is to live in our love-based spirituality, in the moment, consciousness experiencing oneness/love at the edge of chaos, challenged in our purpose to live Two as One by spiritual or right decision/negotiation through cybernetics/self-organization, i.e., problem solving under oneness. Artificial agents in PCAS may participate in right decision/negotiation. They may in principle have consciousness but the nature of the subjective experience is unclear.     

Modeling and supporting task-oriented group processes: Purposeful complex adaptive systems and Evolutionary Systems Design

Evolutionary Systems Design (ESD) is a universal general problem solving, formal modeling, design framework for purposeful complex adaptive systems (PCAS) and processes, i.e., task-oriented group processes. These processes constitute policy making, group decision, negotiation, and multiagent problem solving with human and/or artificial agents. ESD is also a framework for computer group support systems (GSS) that support these processes. The ESD general framework can be applied to define and solve specific problems. In this article the ESD framework is presented and illustrated by example. The article provides background for ESD computer implementations discussed in two other related articles (Lewis and Shakun 1996; Bui and Shakun 1996).     

Stakeholder Values and Scientific Modeling in the Neuse River Watershed

In 1998, the North Carolina Legislature mandated a 30% reduction in the nitrogen loading in the Neuse River in an attempt to reduce undesirable environmental conditions in the lower river and estuary. Although sophisticated scientific models of the Neuse estuary exist, there is currently no study directly relating the nitrogen-reduction policy to the concerns of the estuarine system's stakeholders. Much of the difficulty lies in the fact that existing scientific models have biophysical outcome variables, such as dissolved oxygen, that are typically not directly meaningful to the public. In addition, stakeholders have concerns related to economics, modeling, implementation, and fairness that go beyond ecological outcomes. We describe a decision-analytic approach to modeling the Neuse River nutrient-management problem, focusing on linking scientific assessments to stakeholder objectives. The first step in the approach is elicitation and analysis of stakeholder concerns. The second step is construction of a probabilistic model that relates proposed management actions to attributes of interest to stakeholders. We discuss how the model can then be used by local decision makers as a tool for adaptive management of the Neuse River system. This discussion relates adaptive management to the notion of expected value of information and indicates a need for a comprehensive monitoring program to accompany implementation of the model. We conclude by acknowledging that a scientific model cannot appropriately address all the stakeholder concerns elicited, and we discuss how the remaining concerns may otherwise be considered in the policy process.     

Consumer innovativeness and consumer decision styles: a confirmatory and segmentation analysis

Consumer decision styles (CDS) are important for marketers because they determine consumer behaviours that are relatively stable over time and hence are useful for market segmentation. The study has confirmed the existence of the original US characteristics as well as put forward two new characteristics specific to the Indian context, namely, ‘dissatisfied shopping consciousness’ and ‘store loyal’. Thereafter, a multi-step cluster analysis was employed to classify the respondents into groups based on their CDS. Five homogeneous and distinct decision-making segments have been identified. In order to validate the cluster solutions, a K-means clustering procedure was performed by taking random initial seeds to set the cluster centres. The paper also seeks to investigate whether consumers’ innovativeness is associated with their CDS. The findings are discussed and recommendations are proffered for managers and future research.     

Cultural Dimensions and Prototypical Criteria for Multi-Criteria Decision Support in Electronic Markets: A Comparative Analysis of Two Job Markets

Electronic markets are virtual meeting places where buyers and sellers interact to trade products or services. The main motivation for both buyers and sellers to participate in an electronic market is the desire to maximize their private utility (Bakos 1998). Electronic markets therefore usually provide some form of communication, decision or negotiation aid for buyers and sellers to support their utility maximizing goals. This paper presents a comparative analysis of two electronic job market case studies conducted at a university in Europe (Brussels, Belgium) and in the United States (Newark, New Jersey). At the occasion of the universities’ career fairs, students (n = 392) and local companies (n = 57) were invited to participate in an electronic job market to identify the best job offers (n = 137) and students, respectively. Participants were able to create personalized software agents to aid their search and decision making activities in the market. Every software agent was embedded with a multi-criteria decision support tool to produce a rank ordered list of students or job offers. Preference data gathered from market participants’ use of the multi-criteria decision model allow us to construct relational preference structures using a technique based on the mathematical theory of fuzzy relations (Bandler and Kohout 1980). These preference structures express relationships among the criteria that students and companies have used to identify job offers and companies, respectively. The purpose of the paper is to present the communicative and cultural implications of these relational preference structures. The theories of Hofstede (1983), Hall (1977) and Trompenaars (1993) on cultural dimensions allow us to discuss cultural differences on the choice of prototypical criteria. The paper concludes with implications for the use of electronic markets in the staffing industry and the role of software agents in such job markets.