A conceptual framework of anonymity in Group Support Systems

As the development and use of automated systems for collaborative work grows, the need for a better understanding of these systems becomes more important. Our focus is on one type of system, a Group Support System (GSS) and, in particular, on one important aspect of a GSS—anonymity. A conceptual framework for the study of anonymity in a GSS is presented, which describes the general classes of variables and their relationships. These variables include the factors that influence anonymity in a GSS, types of anonymity, and the effects of anonymity on a message sender, receiver, group process, and outcome. Each of these variables is discussed with working propositions presented for important group process and outcome measures. The objectives of this article are to highlight the importance and complexity of anonymity, to act as a guide for empirical investigations of anonymity, and to influence future GSS development and use.     

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.     

Developing and assessing critical thinking skills in marketing students: The power of making explicit problem-solving processes

Applied research is a course that has been taught to develop and effectively assess critical thinking skills in marketing students. A modified version of the problem-solving model using explicit problem-solving processes is employed in the design of course material and delivery. Assessment data support students’ ability to critically think at both lower and higher levels. Assignments include creative and timely experiential exercises to reinforce important marketing concepts, encourage student interest, and develop critical thinking skills.     

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).     

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.     

Coordination in shared facilities: A new methodology

Shared facilities are a good example of the difficulties inherent in coordination problems and the benefits to be derived from creative solutions. Traditional methods employed by engineers and others, because they ignore an important aspect of the problem, can yield solutions that appear successful but which significantly underutilize these facilities. This article is intended to be an introduction to the types of problems that can arise and to a new method for systematically studying these problems. The method is illustrated with the results of a study done for NASA, on the coordination of the use of a Space Station, which produced a new computer‐assisted institution that outperforms existing institutions.     

Decisional Power in Group Decision Making: A Note on the Allocation of Group Members' Weights in the Multiplicative AHP and SMART

Many complex decisions are made in a group environment, where the decision is made jointly by a committee or group structure. The individual group members are often not equally qualified to contribute equitably to the decision process, or may have different saliences (desires) to influence the decision. A quantitative knowledge of the players' decisional power is useful for better understanding of the group decision process, and could even be used in weighted voting within the group structure. We adapt the REMBRANDT suite of decision models (multiplicative AHP and SMART) to measure decisional power in groups, and we generalise this to cater for the case where power itself is deemed to be multidimensional in nature, and the case of uncertain subjective judgements of power amongst group members.     

Executive GDSS: Behavioral considerations at individual,organizational, and environmental levels of analysis

This article emphasizes the importance of behavioral considerations at individual, organizational, and environmental levels of analysis when researching and evaluating the design, implementation, and use of group decision support systems (GDSS) within complex organizations. Discussion is based on interview and archival data collected on an executive level GDSS used within a corporate setting. Issues that are considered generalizable to organizational computing, coordination, and collaboration technologies concern (a) viewing organization participants as strategic, intuitive information processors, (b) understanding the importance of organizational power, politics, and situational constraints on decision making, and (c) appreciating the symbolic value of advanced information technologies to an organization's external environment.     

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.     

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.     

Of Fallacies and Curricula: A Case of Business Ethics

One of the main objectives of the undergraduate business school curriculum is to develop the students' critical thinking and decisionmaking skills. Official documents such as the school's objectives usually state this as part of its social contract. However, university processes sometimes break the most elementary rules of logical reasoning which, in turn, may lead to questionable decisions. This paper discusses the specific case of the mandatory stand-alone business ethics course as an instance of flawed reasoning in curricular processes. Educational institutions model the students' decision making patterns, not only by formal courses but by the example their own decision making processes set. Academicians should be aware of these processes' underlying values and vices. This should lead to better decisions and set a proper example for our students.     

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.     

Aggregation of Individual Preference Structures in Ahp-Group Decision Making

This paper presents a new procedure, to which we have given the name Aggregation of Individual Preference Structures (AIPS), whose objective is to deal with multiactor decision making when using Analytic Hierarchy Process (AHP) as the methodological support. This procedure incorporates ideas similar to Borda count methods and transfers to the case of preference structures the principle of aggregation employed in the two approaches traditionally followed in AHP-group decision making (aggregation of individual judgments and aggregation of individual priorities). The new aggregation method allows us to capture: (i) the richness of uncertainty inherent to human beings; (ii) the vision of each decision maker within the context of the problem; (iii) the interdependencies between the alternatives being compared and (iv) the intensities of the preferences that each decision maker gives to these interdependencies. From the preference structure distribution associated to each decision maker, this new approach (AIPS) provides the holistic importance of each alternative and ranking, as well as the most representative preference structure distribution for the group. The knowledge derived from these could be employed as an initial step in the search for consensus, which characterises the negotiation processes followed by the actors involved in the resolution of decisional problems. An earlier version of this paper was presented at the GDN2005 Conference held at Vienna. The work has been partially funded under Research Projects “Electronic Government. Internet-based Complex Decision Making: e-democracy and e-cognocracy” (Ref. PM2004-052) and “Internet-based Complex Decision Making. Decisional Tools for e-cognocracy” (Ref. TSI2005-02511).     

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).     

Getting From ‘Me’ to ‘We’: Role Clarity,Team Process,and the Transition From Individual Knowledge to Shared Mental Models in Employee Dyads

Shared mental models are crucial for team functioning; however, little research to date has focussed on uncovering the predictors of shared mental models. The present study investigates the effect of role clarity on shared mental models by means of its indirect effects via team process. Two hundred and two undergraduate students participated in a dyadic firefighting simulation in which their role clarity, team process, and mental model similarity were measured. Analyses conducted at the dyadic level suggest that role clarity predicts mental model similarity via its effects on team process. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.