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).     

Negotiation processes,Evolutionary Systems Design,and NEGOTIATOR

A negotiation accord is often the result of an intense, laborious, and evolutionary negotiation process. During this process, disputing parties are confronted with goal, judgment, and outcome conflict. This article demonstrates the utility of a conflict resolution framework—Evolutionary Systems Design (ESD)—by using a Negotiation Support System. ESD seeks to guide negotiators to move their individual goals and judgments in such a way as to enhance the chance of achieving a common solution. As illustrated by the use of NEGOTIATOR, a multiattribute utility negotiation support system, we argue that computer mediation can prove to be an effective means to implement the ESD framework.     

An ESD Computer Culture for Intercultural Problem Solving and Negotiation

Intercultural problem solving and negotiation involves interaction of two or more cultures. These processes may be formally modeled using the Evolutionary Systems Design (ESD) framework implemented by appropriate computer group support systems (GSS). The ESD/GSS combination provides an ESD computer culture for intercultural problem solving and negotiation in a same place/same time or telework mode. With this, players in a multicultural group can be computer supported in generating and formally representing an evolving common culture (a situational culture) with regard to the specific problem at hand - an intercultural evolving group problem representation and solution. At the same time, the ESD computer culture provides an operational cybernetic/self-organization framework for the empirical study of cultural emergence in a multicultural group. This paper uses and develops work by Shakun (1996b).     

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.     

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.     

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.     

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.     

Ethical Decision Making: A Comparison of Computer- Supported and Face-to-face Group

This study compares computer-supported groups, i.e., groups using group support systems (GSS), and face-to-face groups using ethical decision-making tasks. A laboratory experiment was conducted using five-person groups of information systems professionals. Face-to-face (FTF) and GSS groups were compared in terms of their decision outcomes and group members' reactions. The results revealed that computer-supported and face-to-face groups showed no significant difference in terms of the decision outcomes of choice shift and decision polarity. However, FTF groups reached their decisions more quickly and they were more successful in attaining group consensus than GSS groups. Subjects evaluated face-to-face communication more favorably than GSS interaction on most post-group measures related to perceived group processes and satisfaction. Despite these outcomes, some possibilities for using GSS technology in an ethical decision making context are examined.     

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).     

When Do Large Product Assortments Benefit Consumers? An Information-Processing Perspective

Retailers frequently attempt to attract shoppers by offering large product assortments. The prevailing literature on assortments has recognized that although large assortments benefit consumers by providing many choices, wide choices also challenge consumers to use extensive cognitive processes in making purchase decisions. Therefore when retailers offer extensive product assortments, they may also be adding cognitive costs to consumers—costs that may diminish the assortment's attractiveness. This research draws on the literature related to the Heuristic-Systematic Model (HSM) of information processing and the literature related to optimal stimulation level (OSL) in testing for the presence of two possible processing benefits provided by large assortments: their capacity to aid consumers in achieving decision-making certainty and their ability to provide consumers with desired stimulation. In two experiments, we find support for both models of assortment evaluations and demonstrate that purchase context and individual traits can lead consumers to prefer large assortments from a processing perspective.     

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.     

Tacit meaning in disguise: Hidden metaphors in new product development and market making

This article explores the role of metaphor in product development processes and market making. Based on a sociocognitive perspective of innovation dynamics and required learning by market actors, the potential of metaphors for mental model development during new product development (NPD) processes is investigated. Three roles for metaphors as cognitive focusing devices for the co-evolution of producers' and consumers' mental models are inferred: mental model communication, mental model matching, and mental model creation. These roles are illustrated by examples that reinforce the need for creativity in applying metaphors as cognitive focusing devices in NPD and market making.     

Why so Serious? Theorising Playful Model-Driven Group Decision Support with Situated Affectivity

An integrative approach to theorising behavioural, affective and cognitive processes in model-driven group decision support (GDS) interventions is needed to gain insight into the (micro-)processes by which outcomes are accomplished. This paper proposes that the theoretical lens of situated affectivity, grounded in recent extensions of scaffolded mind models, is suitable to understand the performativity of affective micro-processes in model-driven GDS interventions. An illustrative vignette of a humorous micro-moment in a group decision workshop is presented to reveal the performativity of extended affective scaffolding processes for group decision development. The lens of situated affectivity constitutes a novel approach for the study of interventionist practice in the context of group decision making (and negotiation). An outlook with opportunities for future research is offered to facilitate an integrated approach to the study of cognitive–affective and behavioural micro-processes in model-driven GDS interventions.     

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.     

Consumer socialization,social structural factors and decision‐making styles: a case study of adolescents in Malaysia

The purpose of this study is to investigate how the process of consumer socialization will determine adolescents’ decision‐making styles. Eight decision‐making styles were conceptualized as outcomes of the socialization process, which is acquired via interaction with socialization agents, namely parents, peers, printed media, television commercials and in‐school education. The study also proposed five social structural variables (social class, gender, ethnicity, residence and religion) as being associated with the socialization agents and decision‐making styles. The study sample consisted of 934 adolescents between the ages of 16 and 19 years. The data were collected using a self‐administered questionnaire and analysed with the SPSS computer program. As a result of regression analyses, significant relationships were found between social structural factors and socialization processes, suggesting that the influence of socialization agents on adolescents may vary according to certain demographic characteristics. Significant relationships were also found between social structural factors and socialization processes. Peers appeared to be the most important agents of consumer socialization, contributing to a variety of desirable as well as undesirable consumer decision styles. Printed media and television commercials were also found to be significant sources of the acquisition of both desirable and undesirable decision‐making styles. Parents and in‐school education, however, were insignificant in the acquisition of any decision‐making styles among adolescents. Information obtained from this study could be useful to government agencies and consumer educators. The most revealing finding of this study is that parents did not contribute to the formulation of decision‐making orientation for adolescents. This points to the need for consumer educators to take steps in designing programmes that will involve parents as primary socialization agents at home; this may be facilitated via printed materials. Apart from this, the information can also be helpful in enabling marketers to be more effective in targeting various adolescent markets by formulating marketing strategies according to demographic factors, socialization process and decision‐making styles.     

The Design of a GDSS Meeting Preparation Tool

The facilitator is a critical resource in computer supported decision-making groups. Facilitation is a complex task, encompassing social and technical abilities, analysis and synthesis skills, and making use of planning and flexibility, which opens multiple opportunities for computational support. This paper addresses specifically the current limitations of pre-meeting support. Having the objective of increasing support to the facilitation activities that deal with the process facet, we developed a meeting preparation tool around a comprehensive model of the decision process. An experiment revealed that the tool produces considerably different meeting agendas, especially in what concerns size and diversity. An attempt to evaluate the quality of the meeting agendas indicates an increase in the clarity criterion.     

Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making

Artificial intelligence (AI) has penetrated many organizational processes, resulting in a growing fear that smart machines will soon replace many humans in decision making. To provide a more proactive and pragmatic perspective, this article highlights the complementarity of humans and AI and examines how each can bring their own strength in organizational decision-making processes typically characterized by uncertainty, complexity, and equivocality. With a greater computational information processing capacity and an analytical approach, AI can extend humans’ cognition when addressing complexity, whereas humans can still offer a more holistic, intuitive approach in dealing with uncertainty and equivocality in organizational decision making. This premise mirrors the idea of intelligence augmentation, which states that AI systems should be designed with the intention of augmenting, not replacing, human contributions.     

Differences between workstations and keypad group support systems: Implications for keypad GSS facilitators

Organizations are successfully using group support systems (GSS) to improve efficiency, effectiveness, and satisfaction in organizational meetings. Meeting success relies on making an appropriate match between group, taks, and technology. This responsibility often falls to the meeting facilitator. This article draws upon GSS and facilitation literature to develop a framework for the discussion of effective facilitation in workstation and keypad meeting environments. The article identifies differences between the systems and how they impact upon the behavior of the meeting facilitators and their choice of technology. Compensatory actions are proposed for keypad facilitators to address the lack of key workstation features. Keypad strengths are also identified to show the opportunities available to facilitators to maximize the benefits of using these GSS. Further, it is proposed that different types of GSS are not mutually exclusive and should be seen as complementary components of a suite of GSS tools designed to support organizational goals.