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.     

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.     

A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines

In the context of underground coal mining industry, the increased economic issues regarding implementation of additional safety measure systems, along with growing public awareness to ensure high level of workers safety, have put great pressure on the managers towards finding the best solution to ensure safe as well as economically viable alternative selection. Risk-based decision support system plays an important role in finding such solutions amongst candidate alternatives with respect to multiple decision criteria. Therefore, in this paper, a unified risk-based decision-making methodology has been proposed for selecting an appropriate safety measure system in relation to an underground coal mining industry with respect to multiple risk criteria such as financial risk, operating risk, and maintenance risk. The proposed methodology uses interval-valued fuzzy set theory for modelling vagueness and subjectivity in the estimates of fuzzy risk ratings for making appropriate decision. The methodology is based on the aggregative fuzzy risk analysis and multi-criteria decision making. The selection decisions are made within the context of understanding the total integrated risk that is likely to incur while adapting the particular safety system alternative. Effectiveness of the proposed methodology has been validated through a real-time case study. The result in the context of final priority ranking is seemed fairly consistent.     

A framework for interactive multiple criteria group decision support

An interactive framework is developed for multiple criteria group decision support. Decision makers are asked to specify aspiration and reservation levels to establish a preferred range for the value of each objective for each decision maker. Group and individual solutions are generated as a function of these levels. Decision makers are asked to react to current solutions by revising their aspiration and reservation levels and additional solutions are generated. The framework is both simpler and more flexible than previous approaches.     

An object-oriented architecture for group decision support systems

An object-oriented GDSS can produce a rich environment for easily accessing software tools or applications running under a Graphical User Interface and can provide communication among meeting participants. This requires definition of (1) objects to manage the meeting and participant sessions, (2) applications that can run under these sessions, and (3) data storage and data communications capability that handle both private and shared data. This article suggests that a GDSS system can operate under three layers of software: an application-layer, a GDSS environment, and an operating system environment. It defines the structure and behavior of the GDSS environment layer in terms of (1) objects and messages used to communicate among these objects and (2) a message passing protocol between the GDSS environment and the other two layers. These specifications result in an architecture that is sufficiently modular to enable addition of various GDSS software. This article also discusses a prototype implementation of the architecture that is developed in Smalltalk and runs under Microsoft's Windows 3.0.     

Collaborative computing for decision support in cardiovascular consulting

Vascular medicine is a newly developing discipline heavily based on geographically distributed consulting, and there is thus a strong need for computerized decision support in doctor‐to‐doctor collaboration for the management of vascular patients. The latest achievements in collaborative and multimedia computing for group decision support are incorporated into cardiovascular consulting. Feasibility analysis of the two basic components is addressed: (a) the communication system of collaborative computing as identified subject to the specifics of data flow and networking in geographically distributed cardiovascular consulting; and (b) the structure and representations for intelligent software agents that enable transfer of individual expert cardiovascular knowledge, support group brainstorming, and maintain the ongoing learning of group experience and analysis of patients cases.     

Decision making and decision aiding: Defining the process,it representations,and support

We present a formalized account of decision making as a multistep process that involves several classes of participating entities. The purpose of this article is to lay the foundations for a conceptual framework in which decision support systems can be placed. A series of increasingly formal representations of the decision problem are developed, from a mental model conceived by the decision maker to a knowledge base that may be used in a decision support system. The reformulations of the decision problem lead us to contemplate different forms of support: for mental models, for formal models (this includes supporting measurement and representation), for solution, and for communication.     

INTERACT: Developing software for interactive decisions

This paper describes the development and use of a piece of software, INTERACT, for analyzing situations under the control of several interested parties. After briefly discussing forms of analysis used, it outlines the design philosophy of the software itself. Particular attention is paid to its intended use in a decision support role. The functions typically performed in the course of analysis are illustrated using a worked example. Finally, avenues for further development are outlined.An earlier version of this paper was read at the Conference on Decision Making under Conditions of Conflict, University of Waterloo, Ontario, August/Sept 1992     

随机预定需求下的客房分配:酒店收益管理博弈

本文研究具有两个不同消费级别的两家酒店在完全信息条件下收益管理的单期静态博弈。讨论了酒店分别在竞争与合作两种情况下,对于低价房间预留数目的设定策略。在竞争情况下,证明了纳什均衡唯一解的存在性。在合作情况下,分析了两酒店的节省成本及目标函数的凹性。在合作情况下,提出了使两酒店总收益大幅度提高的条件。最后,用一些算例(假设客房预定需求变量服从截断正态分布)分析了在每种情况下的酒店最优管理方案。     

Cooperation support through the use of group decision systems

This article considers the development of the group decision support system (GDSS) field both from organizational and technological perspectives. The growing importance of teamwork, lateral coordination, and activities integration inside modern business organizations is emphasized. Technological and knowledge specialization, quick transformation of business environments, reduction of response time, and so on, are some of the reasons that can explain the renewed relevance of teamwork. Also, the development of information technology (IT) is analyzed in relation to the role it is assuming in supporting group activities. Research in the GDSS field is then introduced. A proposal concerning the identification of three different phases in GDSS studies is developed, ranging from decision rooms to distributed systems. Each phase shows distinctive research topics and application fields, together with different organizational goals. Results of these developments are the growth of potential application areas of GDSS tools. These theoretical considerations, together with empirical experiences coming from the study of a real manufacturing environment (an IBM plant where group cooperation plays a fundamental role for production efficiency), constitute the basis for a research GDSS prototype (GROUPS). Prototype features are designed to support executives in facing production‐planning problems through an improvement in communications and in knowledge representation.     

Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management

In this paper we describe a framework for multicriteria modeling and support of multi-stakeholder decision processes. We report on its testing in the development of a new water level management policy for a regulated lake-river system in Finland. In the framework the stakeholders are involved in the decision process from the problem structuring stage to the group consensus seeking stage followed by a stage of seeking public acceptance for the policy. The framework aims at creating an evolutionary learning process. In this paper we also focus on the use of a new interactive method for finding and identifying Pareto-optimal alternatives. Role playing experiments with students are used to test the practical applicability of a negotiation support procedure called the method of improving directions. We also describe the preference programming approach for the aggregation of the stakeholder opinions in the final evaluation of alternatives and consensus seeking.     

Building consensus in strategic decision making: System dynamics as a group support system

System dynamics was originally founded as a method for modeling and simulating the behavior of industrial systems. In recent years it is increasingly employed as a Group Support System for strategic decision-making groups. The model is constructed in direct interaction with a management team, and the procedure is generally referred to as group model-building. The model can be conceptual (qualitative) or a full-blown (quantitative) computer simulation model. In this article, a case is described in which a qualitative system dynamics model was built to support strategic decision making in a Dutch government agency.Since people from different departments held strongly opposite viewpoints on the strategy, the agency had discussed its strategic problem for more than a year, but was obviously not able to reach consensus. The application of group model-building was successful in integrating opposite points of view, as well as in fostering consensus and creating commitment.The purpose of the article is twofold: first, to illustrate the process of group model-building with system dynamics; second, to evaluate why it was successful. Evaluation results reveal the importance of both systemic thinking through model-building and the role of the facilitator in catalyzing the strategic decision-making process.     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

Decision making under conditions of conflict

A real-world application is employed to explain three general types of decision situations that can arise under conditions of conflict. In addition, meaningful connections and relationships among these areas of decision making are clearly pointed out. To permit useful decision technologies to be employed by practitioners for better understanding and for resolving a variety of actual decision problems, a range of flexible decision support systems is discussed. Subsequently, interesting research developments contained in the upcoming sequence of 12 articles on decision making under conflict are summarized and compared. The research articles not only present unique approaches to decision making involving multiple participants, each of whom may have multiple objectives, but suggest a variety of challenging research problems to be investigated in the future.     

A purchase decision support model considering consumer personalization about aspirations and risk attitudes

Ranking alternative products to help consumers make better purchase choices is a valuable research topic. Most previous decision support models cannot be well applied to heterogeneous consumers. This paper focuses on establishing a personalized interactive model to assist consumers make better buying decisions with less effort. For the alternative products provided by consumers, we collect online reviews and parameter configurations of alternative products and then obtain the fusing evaluative information. As consumers are dominated by bounded rationality, they only provide partially key attribute weights, based on which, we construct an optimizing model to obtain the optimal attribute weights of customers for products. Then, a satisfaction function is proposed by uniting aspiration levels and risk attitudes of consumers and a compensatory decision rules is established to rank and recommend the brands to consumers. Finally, practicability of this study is illustrated with a real car purchase case. Through the case study, it can be seen that the proposed decision support model generates a personalized list of alternatives based on consumer's own utility function about risk attitudes, aspiration levels, and preferences for product attributes, which further confirms that the proposed model can capture the personalized needs of consumers. Theoretical and managerial implications of this model as well as advantages are further illustrated.     

Technology support for cooperative work: A framework for studying introduction and assimilation in organizations

This article draws on published research on the nature of the innovation process and exploratory field research in 10 companies to develop a framework for research on organizations’ introduction and assimilation of computer‐supported cooperative work technologies. The research reported in this article, part of a much larger study of the general process of innovation in organizations, focuses specifically on the transfer and assimilation of new technology innovations.

Technologies to support group process, communication, and coordination in face‐to‐face group meetings [electronic meeting support systems (EMSS)] were chosen to illustrate the use of the research framework. The article focuses on the transfer of these technologies from R“D units to target organizational units and the alignment of group, technology, and task during assimilation by end‐user groups. Research propositions are developed and discussed. Future articles will present the findings from current research that utilizes the frameworks presented in this article to study the introduction, transfer, and assimilation of EMSS in organizations.     

A model and case for supporting participatory public decision making in e-democracy

In this paper, focusing on participatory public decision making processes, I propose a framework for group support systems and discuss related research issues. As a case illustrating the feasibility of participatory public decision making, I present the participatory budgeting experience in Porto Alegre, Brazil. The case is analyzed based on the proposed framework.     

A novel framework for customer complaint management

Complaining is one option available to customers to express their dissatisfaction with inadequate services. Their complaints contain valuable information for service providers to improve customer relationships and operational quality, which can ultimately enhance business profitability. Customer complaints are frequently handled at the individual level, however, which addresses the symptoms rather than the causes of customer dissatisfaction. This paper presents a framework integrating a decision tree approach, a common data mining tool, into Six Sigma methodology to analyze customer complaints in aggregate and improve service quality by identifying and addressing the underlying causes of failed service. A case study of a restaurant chain was used to demonstrate the effectiveness of the proposed framework. The results indicated a significant (60%) decrease in the number of customer complaints received. Subsequent long-term benefits can be expected.