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.     

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.     

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.     

CONFIDE: A Collective Decision-Making Procedure Using Confidence Estimates of Individual Judgements

An algorithm (termed CONFIDE) is proposed that may capture many of the benefits of group decision making without the necessity of face-to-face interaction. The algorithm allows individual decision makers to differentially weight the contributions from members according to the confidence with which each member holds to their opinions. The CONFIDE algorithm is compared to both face-to-face group decisions and simple averaging of group members opinions on the Lost-at-Sea ranking task. Results indicate that, in terms of decision quality, the CONFIDE algorithm produces solutions equal to that of the face-to-face group decision method and significantly better than the solution achieved by simple averaging of group members responses.     

Information Collection Strategic Design in Experts-assisted Decision Making Paradigm

In an experts-assisted decision making paradigm, the information collection design becomes a strategic variable under a weak assumption that the final decision is dependent on the design used to collect information as well. As a result, the same information of the experts and the decision maker about the problem can potentially produce different final decisions for different information collection designs. The implication is that a decision maker can strategically select a design which serves his/her objective. This paper uses a Bayesian estimation methodology for combining experts' information with the decision maker's prior. An information collection process is designed by setting constraints on this model. Several designs are developed here using such controlled factors as a one-stage versus a two-stage decision process, experts' rank ordering, and group versus individual lobbying/consultation. An example is provided to illustrate the applicability of the concept. It is shown that the information produced in the process of producing a decision can also give insights into the impacts of the decision maker and the experts on the decision.     

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.     

Using the Analytic Hierarchy Process as a Two-phase Integrated Decision Approach for Large Nominal Groups

When decision makers who comprise a large nominal group face an unstructured decision problem and no simultaneous interactive communications are available, problem identification and consensus building are difficult, if not impossible. Few tools are available to assist decision makers in this situation. The Analytic Hierarchy Process (AHP) has typically been used to evaluate a set of alternatives after a decision problem has been structured as a hierarchy with various levels of criteria above the alternatives. With a group of decision makers, AHP has been used to evaluate those alternatives either by consensus building or by combining judgments or priorities using the geometric mean to aggregate their preferences. In this paper, we extend the use of AHP to a situation involving a large nominal group of dispersed decision makers where the entire hierarchy is not defined at the outset. In particular, we use the AHP as an integrative approach to identify the priorities of the various criteria and then use those priorities to screen and consolidate a large set of potential alternatives. This results in considering a reduced set of alternatives that will be affected by the more important criteria. The consolidated set of alternatives is evaluated by each individual in the group using AHP, combined using the geometric mean, and the results are synthesized to obtain the overall priorities of the alternatives. The approach is demonstrated and evaluated in a case study to select an alunmi anniversary gift to the U.S. Coast Guard Academy with a large nominal group of decision-makers dispersed throughout the United States.     

High Stakes Decision Making: Normative,Descriptive and Prescriptive Considerations

This paper reviews the state of the art of research on individual decision-making in high-stakes, low-probability settings. A central theme is that resolving high-stakes decisions optimally poses a formidable challenge not only to naïve decision makers, but also to users of more sophisticated tools, such as decision analysis. Such decisions are difficult to make because precise information about probabilities is not available, and the dynamics of the decision are complex. When faced with such problems, naïve decision-makers fall prey to a wide range of potentially harmful biases, such as failing to recognize a high-stakes problem, ignoring the information about probabilities that does exist, and responding to complexity by accepting the status quo. A proposed agenda for future research focuses on how the process and outcomes of high-stakes decision making might be improved.     

The impact of ethical concerns on family consumer decision‐making

Ethical consumerism and family consumer decision‐making, including the influence of children in this area, are spheres of consumer behaviour in which a substantial amount of academic research has already been undertaken. However, the crossover of these two areas is as yet under‐researched, as well as the level of pester power parents are subjected to from children aged 3 and under. This paper uses qualitative methods to investigate the issues surrounding the ethical consumer decision‐making process with families who have children aged 3 years old or under. This research found that the motivation to pursue an ethical lifestyle varied across the sample, but the emergence of an ‘inheritance factor’, where parents are awakened to ethical issues because of the birth of their child, was prominent. Other issues that transpired from this research include the prominence of ethical trade‐offs in consumer decision‐making, ethical choices as normalizing behaviour and finally the presence of pester power in the ethical context. Ethical consumerism strongly emerged as an integral part of the parent's identity construction, especially for the mothers as they struggled to adapt to their new roles. Further research delving into the role ethical choices have on identity construction and the parental response to pester power would be a valuable addition to the overall context of this research.     

存在冲突证据下的证据推理多属性决策方法

针对传统的证据推理方法对证据冲突处理能力的不足,在引入冲突参数的基础上提 出了新的证据推理算法,通过证明,新算法完全满足证据合成的4个公理。基于方案集间冲 突参数对决策结果影响差异最小化原则,提出了新的冲突参数优化模型,最后通过实例仿真 ,论证了新算法对解决证据间存在冲突时的多属性决策问题的可行性和优越性。     

Cultural and Ethical Effects on Managerial Decisions: Examined in a Throughput Model

Financial and cost accounting information is processed by decision-makers guided by their particular need to support decisions. Recent technological advances impacting on information as well as organizations such as the European Community mandating financial reporting requirements for many countries is rapidly changing the landscape for decision making using accounting information. Hence, the importance of individuals' decision making is more important than it was previously. These decisions are also influenced by individuals' ethical beliefs. The Throughput Modeling approach to cultural and ethical concerns provides a way of dealing with accounting information processed through various pathways by decision-makers. This modeling approach captures different philosophical perspectives from which to understand what is involved in "thinking scientifically." In the Throughput Modeling approach, pathways highlight the importance of how different philosophical perspectives may be used by individuals in arriving at a decision. This paper highlights key concepts involved in rethinking the basis of moral decision making in terms of an underlying process, rather than focusing on the application of principles or the development of a virtuous character. Examples are provided from both English and Spanish settings to help emphasize the importance of modeling ethical decision making globally.     

Simple Decision Aids and Consumer Decision Making

To help consumers deal with increasing amounts of information, many online retailers offer simple decision aids, such as the ability to sort on a particular attribute or eliminate undesired alternatives. The authors propose that consumers use simple decision aids as substitutes for cognitive effort, potentially with adverse consequences for decision making. An experimental study shows that providing unrestricted sorting increases decision quality only when choice conflict is low; beyond a certain point, greater use of the decision aid is associated with declines in decision quality. A second study shows that that allowing consumers to sort alternatives only one time enhances decision quality and, when choice conflict is high, reduces decision effort. A third study shows that providing elimination as well as sorting tools helps mitigate the negative effects of simple decision aids. Although the availability of sorting alone hurts decision quality when choice conflict is high, decision quality under choice conflict is improved when both sorting and elimination tools are provided. Implications for retail practice are discussed.     

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.     

Risk management and consumer safety

Abstract

Risk assessment and risk management techniques are being developed in many fields as an aid to safety investment decision making. Already these techniques are having impacts upon aspects of consumer safety which overlap with other sectors where safety is important and where these methods are being applied. Recent examples where this has happened range from public transportation to the safety of children's playgrounds. This paper reports on progress in risk management in some of these sectors. Key elements include the notion of ‘acceptabl’ and ‘tolerabl’ risk, the optimisation of safety according to principles known as ALARP (as low as reasonably practicable) or ALARA (as low as reasonably achievable), and the use of quantitative methods such as cost-benefit analysis as an aid to decision making. Attention is drawn to a number of factors which consumer safety practitioners may wish to consider should it be decided to follow the trend towards a risk-based approach to the management of consumer safety.     

Decision Neuroscience

This article presents an introduction to and analysis of an emerging area of research, namely decision neuroscience, whose goal is to integrate research in neuroscience and behavioral decision making. The article includes an exposition of (1) how the exponential accumulation of knowledge in neuroscience can potentially enrich research on decision making, (2) the range of techniques in neuroscience that can be used to shed light on various decision making phenomena, (3) examples of potential research in this emerging area, and (4) some of the challenges readers need to be cognizant of while venturing into this new area of research. The genesis of this workshop session and article was a meeting that Dipankar Chakravarti, Antoine Bechara, and Baba Shiv had one balmy Iowa City summer afternoon in 2003. We coined the term Decision Neuroscience to describe the emerging stream of research outlined in this article.     

Multi-agent interaction processes: From oligopoly theory to decentralized artificial intelligence

This article examines the group processes studied in oligopoly theory and in decentralized artificial intelligence. We develop a unifying perspective for the research on the behavior of autonomous interacting agents. Among the many questions of interest in these disciplines are the ways of creating and reaching cooperation by a group of self-interested independent decentralized agents. In this respect, the models and results of oligopoly theory can also be used both in decentralized artificial intelligence and in many other areas of research, such as group decision making, negotiation support, and organizational theory. In particular, the important idea of reshaping goals with strategic information sharing and transmission—incentive communication—has received little attention outside the field of economics. On the other hand, oligopoly theory and experimental economics can especially benefit from the computational methods and tools of artificial intelligence and modern decision support technology. To demonstrate this we have built a prototype of an experimental market analysis environment. Its potential in the analysis of group processes is illustrated with examples.     

Competency,prior performance,opportunity framing,and competitive response: Exploring some behavioral decision theory perspectives

Theoretical perspectives from behavioral decision research and strategic management are employed to make competing predictions of managers' competitive response decisions. Results indicate that responses of greater magnitude are more likely when an ambiguous situation surrounding the market entry of a new competitor is framed as an opportunity rather than as a threat and when the prior performance and competency of the firm are at high levels. Faster responses are more likely under high levels of competency, especially when prior performance has been good. These results run counter to two of three predictions of behavioral decision research and raise questions about limits to the generalizability of these theoretical perspectives.     

Recurrent Marketing Decisions: Decision Complexity,Decision Focus,and Firm Performance

In this paper we examine the nature of the decision-making process for recurrent marketing decisions and its effects on firm performance. A conceptual model of recurrent decision-making in a competitive environment is developed and used as a framework for analyzing 96 tactical decisions made by 35 management groups in the last three periods of a management simulation. The decisions were based entirely on a set of decision rules developed by the management groups. The decision rules were coded for whether they were internally or externally focused and how complex their decision process was. These two factors were then used to predict firm performance. There are a number of important results. The greater the uncertainty in the link between a decision variable and its outcome, i) the more likely managers are to prespecify the value of the decision variable rather than construct a decision rule, ii) the less complex the decision rules that are constructed, and iii) the greater the proportion of internally-focused decision rules. In addition, the focus of a decision rule, but not the complexity of the process—independent of the focus—is positively related to performance with firms that focus on both internal and external factors doing best.