A framework for thinking about Group Decision Support Systems (GDSS)

Strategic problem solving in organizations is a social process that disturbs established social relationships. Maintaining a negotiated social order is crucial to political feasibility and to emotional commitment from the participants in relation to a solution package. However, Group Decision Support Systems that attend overly to managing social order risk group think through bounded vision. This may be avoided if emotional commitment is also encouraged through participants experiencing the problem situation from multiple perspectives and in relation to alternative solution strategies. Commitment depends upon both means/ends rationality and procedural rationality. This acknowledges the balance in providing support to a group with respect to the negotiation of social order, with the more traditional group decision support for socially negotiating order out of the problem situation. This article argues that effective Group Decision Support Systems must attend to both aspects of creating order. OR modelling methods and the support that can be provided by modern micro-computers offer a new way forward—models can be toys that a group can play with together, enabling them to create knowledge as well as use it.     

Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

A practicing industrial engineer, even an experienced decision maker, needs help in the sense that there is a necessity to use more logical or analytical decision support tools, especially when dealing with control and instrumentation projects which are often worth millions of dollars. In this article we propose an algorithm which can support the process of group decision making relating to industrial automation, especially involving the selection of control and instrumentation equipment. The aim of this article is to look only at the algorithm's application and how it is applied. To this end, two test cases are used as examples: (1) selecting a local area network for installation in an academic environment; and (2) selecting an integrated control system for a real-world pulp and paper mill. Obtained results show that the algorithm leads to a satisfactory solution. A software form of the algorithm is being programmed for use as a decision support tool.     

Multiple Criteria Decision Making Models in Group Decision Support

Use of multiple criteria decision making (MCDM) models to aid the group decision process was tested. Two multiple criteria group decision support systems (MCGDSS) were studied, one using the AHP/Tchebycheff method of Iz and the other using Kersten's NEGO system. These systems were compared with a commercial GDSS, VisionQuest. VisionQuest does not include multiple criteria tools. To make the study comparable, VisionQuest was augmented with an ad hoc linear programming model that could generate solutions with specified characteristics requested by the using group. The three systems were compared on the dimensions of solution quality and decision support effectiveness.One of the hypotheses was that MCDM models would force participants to examine criteria, preferences, and aspirations more thoroughly, thus leading to decisions of better quality. Subjects using the MCGDSSs were expected to have higher mean quality and effectiveness values. However, the quality and effectiveness values of the VisionQuest/ad hoc system were found to be better on the dimension of effectiveness. Explanations for this result are included in the paper.Another hypothesis was that the AHP/Tchebycheff method of Iz, a value-oriented system, would yield more effective group support than the goal-oriented NEGO system. However, the NEGO system was found to yield solutions with better quality measures than the solutions obtained with the AHP/Tchebycheff system.Observation of the groups using the MCDM systems indicate that both the AHP/Tchebycheff and NEGO methods can be revised to enhance their effectiveness. The primary difficulty encountered with the AHP/Tchebycheff method was in the large number of pairwise comparisons required by AHP. The NEGO method can be enhanced by including specification of desired attainment levels in the first stage of the method. Both MCDM techniques have potential to benefit group decision support by giving using groups a means to design better solutions.     

Combining GDSS and Gaming for Decision Support

Both gaming and group (decision) support systems (GDSS) are frequently used to support decision-making and policymaking in multi-actor settings. Despite the fact that there are a number of ways in which gaming and GDSS can be used in a complementary manner, there are only sporadic examples of their combined use. No systematic overview or framework exists in which GDSS are related to the functions of gaming or vice versa. In this article, we examine, why, how and for what purpose GDSS can be used to enrich and improve gaming simulation for decision support, and vice versa. In addition to a review of examples found in the literature, four games are discussed where we combined gaming and GDSS for complex decision making in a multi actor context: incodelta, a game about transportation corridors; infrastratego, a game about a liberalizing electricity market; containers a drift, a game about the planning of a container terminal, and; dubes, a game about sustainable urban renewal. Based on the literature and these four experiences, a classification is presented of (at least) four ways in which GDSS and gaming can be used in a complementary or even mutually corrective, manner: the use of GDSS for game design, for game evaluation, for game operation and the use of gaming for research, testing and training of GDSS.     

Challenging Group Support Systems Research: The Case for Strategic Decision Making

Strategic decision making (SDM) often occurs in groups that can benefit from the use of group support systems (GSS). However, no comprehensive review of this logical intersection has been made. We explore this intersection by viewing GSS research through the lens of SDM. First, SDM is broadly characterized and a model of GSS-mediated SDM is produced. Second, we review empirical GSS research linking these findings to the characteristics of SDM. We conclude that GSS research has not produced sufficient knowledge about group history, heterogeneity, member experience, task type, time pressure, technology or tool effects, and decision consensus for a favorable evaluation of SDM in GSS groups. SDM in GSS groups challenges researchers to study the effects of group processes such as those just mentioned in a context that involves ongoing and established groups, political activity, and a multiplicity of tasks.     

Negotiation support using the Decision Support System GMCR

The Graph Model for Conflict Resolution constitutes a unique and flexible approach to the representation, analysis, and understanding of strategic conflict. This methodology, as implemented in the Decision Support System GMCR, constitutes a useful tool for negotiation support. Because GMCR includes efficient algorithms for calculating the stability of states, it encourages extensive comparisons of the consequences of different models of negotiators' decision making. GMCR also facilitates modifications to the way in which the conflict is represented, encouraging sensitivity and what-if analyses. The applicability of GMCR to negotiations is discussed in general, and in the context of a specific case study in environmental conflict resolution.     

Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning

Cognitive maps have been used for analysing and aiding decision-making by investigating causal links among relevant domain concepts. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. FCMs can be used as tools for both static as well as dynamic analysis of scenarios evolving with time. An FCM represents an expert's domain knowledge in a form that lends itself to relatively easy integration into a collective knowledge base for a group involved in a decision process. The resulting group FCM has the potential to serve as a useful tool in a group decision support environment. An appropriate methodology for the development and analysis of group FCMs is required. A framework for such a methodology consisting of the development and application phases is presented.     

Towards a Design Science of Ethical Decision Support

Ethical decision making involves complex emotional, cognitive, social, and philosophical challenges. Even if someone wants to be ethical, he or she may not have clearly articulated what that means, or know how to go about making a decision consistent with his or her values. Information technology may be able to help. A decision support system could offer individuals and groups some guidance, assisting them in making a decision that reflects their underlying values. The first step towards a design science of ethical decision support is to develop a theoretical base on which first-generation systems can be built. This paper brings together work in cognitive, social and moral psychology, information systems, and philosophy relevant to ethical decision making. Attributes of a system that would support ethical decision making are described.     

Monte Carlo Simulation Techniques in a Decision Support System for Group Decision Making

This paper describes a group decision support system based on an additive multi-attribute utility model for identifying a consensus strategy in group decision-making problems where several decision-makers or groups of decision-makers elicit their own preferences separately. On the one hand, the system provides procedures to quantify the DMs or group of DMs preferences separately. This involves assessing the DMs or group of DMs component utilities that represent their preferences regarding the respective possible attribute values and objective weights that represent the relative importance of the criteria. On the other hand, we propose Monte Carlo simulation techniques for identifying a consensus strategy. An iterative process will be carried out, where, after the simulations have been performed, the imprecise component utilities and weights corresponding to the different DMs or groups of DMs are tightened to output more meaningful information in the next simulations to achieve a consensus strategy. Finally, an application to the evaluation of remedial strategies for restoring contaminated aquatic ecosystems illustrates the usefulness and flexibility of this decision support tool.     

Negotiation Support for Multi-Party Resource Allocation: Developing Recommendation for Decreasing Transportation-Related Air Pollution in Budapest

Decisions about how to allocate scarce resources among potential programs are common sources of conflict in both public and private life. This paper describes a case in which negotiation support was provided for a five-member task force trying to reach agreement about how to allocate limited resources among programs designed to improve the air quality in Budapest, Hungary. The intervention consisted of a series of facilitated decision conferences, plus individual interviews. The task force eventually reached agreement about a recommended package of 15 air quality management programs costing 1,500 million Hungarian forints. The research makes four significant contributions. First, it demonstrated that resource allocation models provide a useful framework for understanding and facilitating multi-party negotiation processes. Second, because resource allocation models were elicited individually for each group member before building a single group model, it was possible to analyze the five-dimensional feasible settlement space (i.e., the joint distribution of benefits for each task member for all possible resource allocation packages). Third, several innovative applications of analytical techniques (i.e., Pareto-efficiency analyses, numerical and graphical analyses of feasible settlement spaces and efficient frontiers, and analyses of task force members' investment progressions) served to improve understanding of disagreements within the group and to evaluate the quality of potential resource allocation packages. Fourth, changes in individual preferences and group agreement were assessed over time. Group members appeared to change substantially and their level of agreement to increase markedly over time.     

Artificial Neural Systems as a Research Paradigm for the Study of Group Decision Support Systems

Artificial neural systems (ANSs) have received interest recently because of their ability to accurately forecast and classify data. Group decision support systems (GDSSs) also have received much interest for their support of group communication and decision making. This paper explores the potential of the ANS as a methodology for modeling the many complex, interrelated research variables involved in the field of GDSS. As an illustration, multilinear regression, an ANS with backpropagation, and an ANS with a genetic algorithm were developed to classify 133 subjects into verbal or GDSS groups based on their responses to a questionnaire. The ANSs with backpropagation and the genetic algorithm achieved higher classification accuracies (81.8 and 90.9%, respectively) than was achieved with multilinear regression (75.8%). Therefore, an ANS may more accurately model the many interrelationships occurring with GDSS group behavior.     

The Impact of Role Training in a User-Driven Group Support System Environment

We tested the proposition that training groups to use roles would improve performance in a user-driven, GSS-supported meeting. Two methods of role training, fixed and rotated roles, were compared against a control procedure in which no formal role training was provided. In a repeated measures experiment, half of the groups completed four generate-creative tasks, while the remaining groups completed three generate-creative tasks followed by one choice-intellective task. Both role training methods were successful in reducing the time spent by groups orienting themselves to the technology, particularly in the choice-intellective task context; however, decision quality or quantity did not improve with role training.     

ABC Inventory Management Support System With a Clinical Laboratory Application

Many manufacturing and service organizations invest a large amount of capital in inventory. For this reason, it is important for inventory managers to reduce the costs associated with inventory. Firms that carry a variety of items require a classification system for the effective management of inventory. The ABC support system is a well-established inventory planning and control method that is used to manage different classes of inventory and reduce inventory costs concurrently. This paper presents a decision support system for ABC inventory management that can be used by managers to determine the efficiency of their inventory policies and to evaluate inventory decisions. The mathematical formulas to support inventory decisions are discussed. Since managers must manage in term of dollars, the quantitative tools are explained in terms suitable for management.     

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.     

Analysis of multiple criteria decision support systems for cooperative groups

This article reviews research on multiple criteria decision support systems for cooperative groups. The systems included in this survey integrate concepts from group decision theory, multiple criteria decision methodology, and decision support system technology. Three dimensions are considered in the analysis of existing research: the multiple criteria decision technique used to generate decision alternatives or to choose from a given set; the method used to facilitate individual compromise and group consensus; and the application category, if any.     

Contrasting Single User and Networked Group Decision Support Systems for Strategy Making

The use of computers to support group work – as a Group Decision Support System (GDSS) – on strategy making has grown over the last decade. Some GDSS's have a facilitator managing the computer with the group viewing a public screen displaying the debate, problem definition, and agreements of the group as it negotiates strategies. Others involve members of the group in the direct input of data that forms part of the problem definition – data that is then used by the group employing electronic voting and other organizing devices. This paper discusses a real case relating to an organization seeking to reach important agreements about its strategy. The case involved the top management team and over 50 senior managers. The organization used a facilitator driven GDSS for some of this work, and a networked system for other parts. Some of the meetings were video taped, some were observed through one-way mirrors, and all of the participants were interviewed about their reactions to the different systems. This paper reports on some of the significant contrasts between the two approaches.     

我国水电工程咨询企业跨国供应链管理决策

水电工程咨询行业的周期性特征以及国内水电工程咨询市场发展的有限性是我国水电工程咨询企业必须走出国门的最重要的驱动因素。水电工程咨询企业在跨国经营过程中必须认真搭建供应链管理模式框架,进行区位选择决策、战略定位决策和组织模式选择的决策,尽可能控制风险,发挥优势,保障跨国经营的成功。     

A Multi-Attribute Negotiation Support System with Market Signaling for Electronic Markets

Despite the rapid growth of technology and Internet-based markets, many of the current systems limit themselves to price as the single dimension variable and offer, if at all, only minimal negotiation support to the consumer. In the real world, commercial transactions take into account many other parameters both quantitative and qualitative such as product quality, speed, reputation, after sales service, etc. This paper discusses how these multiple attributes can be captured to augment standard negotiation processes in order to support electronic market transactions. Using a combination of utility theory and multicriteria decision-making, we propose heuristic algorithms to discover potential trades. In addition, the approach is included within a larger framework that incorporates market-signaling mechanisms. This not only allows for the systematic evolution of negotiation positions among buyers and sellers but can ultimately lead towards improving both market transparency and efficiency. To illustrate the multiple criteria model coupled with the dynamic market signaling framework, we report in this paper the implementation of a Web-based clearinghouse that serves the real estate market.     

A Spreadsheet Module for Consistent Consensus Building in AHP-Group Decision Making

This paper presents a spreadsheet module developed with Microsoft Excel and Visual Basic to search for consensus when dealing with AHP in group decision making. On the basis of the theoretical results included in the paper Moreno-Jiménez et al. (2003), this spreadsheet module allows us to construct, in a local context (one criterion), the Consistent Consensus Matrix (CCM) corresponding to the core of consistency associated with the actors involved in the decision making process. By means of simulation techniques, this module provides, for each of the different values of the inconsistency thresholds considered, the preference structures derived from the interval incomplete matrix (CCM) that represents the groups core of consistency. This information will be used to establish consensus paths between the actors involved in the resolution process, one of the most important goals in distributed and participatory decision making.This paper has received partial financial support from the Research Project of the University of Zaragoza (2002): Herramientas decisionales para el constructivismo cognitivo (ref. 228-056). A previous version of this paper has been presented at the Group Decision and Negotiation session of the EURO-INFORMS Congress in Istanbul, 2003.     

Decision Support Systems in Marketing

The practical application of decision support systems in marketing is still in its infancy, even though academic research has been recommending the use of such systems for years. This is largely due to the lack of a single, generally applicable decision support system. The specific requirements and problems of management are too dissimilar to make the development of one universal decision support system feasible. However, improved PC performance, enhanced market survey methods such as conjoint measurement, and further developed programming tools permit the varying requirements to be fairly flexibly met. The following article describes state-of-the-art know-how regarding the practical utilization of such systems, and addresses the preconditions for employing them. We have included many examples gathered from our own experience with numerous applications.