44 research outputs found

    Regulatory Focus and Self-Construal as Determinants of the Majority Rule in Individual Decision Making

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    The majority rule has attracted much attention in recent debate on preference for aggregation strategies, which individuals may use in making choices or judgments for binary, weak-dominant multi-attribute options. The present research extends previous work on factors determining application of the majority rule. The experiment evidenced that individual decision makers are more likely to use the majority rule when increasing their orientation toward prevention rather than promotion regulatory focus. The results also confirmed a certain favorable tendency for individual decision makers to comply with the majority rule when priming their preference for interdependent rather than independent self-construal. These findings highlight a dynamic association between individual differences in goal pursuit motivation and perceived self-definition and behavioral judgment strategies

    Overview of Reporting

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    The effectiveness of a facilitated group decision support system (decision conferencing): A UK/US field study.

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    The increasingly complex and turbulent business environments of these days frequently require greater specialised knowledge pertaining to the issues, which are usually beyond that of any individual. Therefore, group meetings are becoming more complex, more frequent, and more important. As part of the transition into this new environment together with recent advancements in computers, telecommunications and management science techniques, organisational researchers have made serious efforts to use advanced technologies to improve group meetings. An example of such attempts is the development of a Group Decision Support System (GDSS), an application of information technology to support the work of groups. One common example of GDSSs is the Decision Conferencing (DC), which combines the use of decision analytic softwares to incorporate the differing perspectives of the participants with group facilitation techniques. This thesis systematically reviews the existing case, field, and laboratory decision room type GDSS studies. It, then, explores the plausible factors for the inconsistent findings across studies. Main objective of the thesis, however, is to investigate the effectiveness of a DC in aiding group work with regard to decision processes, overall user attitudes, and decision quality, and to identify variables associated with differences in perceived effectiveness. Three theories were employed to build a conceptual framework with criteria by which to describe and evaluate the effectiveness of decision making in GDSS settings: Competing Values Approach, Stratified Systems Theory, and Human Information Processing Model. It was shown that these three approaches share common theoretical assumptions. Then, quantitative data were collected through a mailed questionnaire of participants in 22 conferences, hosted by the Decision Conferences Inc. in the U.S.A., Decision Analysis Unit at London School of Economics, and International Computers Ltd. in the U.K. Overall, a DC was perceived better than a conventional meeting for all of the evaluation criteria. The effectiveness of a DC, however, was perceived differently according to various factors: participants' levels in the executive hierarchy, differences in the culture and style of the organisation, task differences in terms of the degree of threat, group size, variety of facilitators, and careers of the participants. Of greater interest is the finding that independent of the numerous variables above, a DC was perceived highly effective in terms of user attitudes, improved decision quality, adaptable process, goal-centred process, and efficiency of decision; and relatively less effective with regard to implementation, and accountability of decision

    Collaborative problem solving and program development model

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    A model to enhance collaborative problem solving and program development is presented. The collaborative model is a detailed cognitive model that takes into consideration the cognitive and social activities that occur during collaborative problem solving and program development. The cognitive activities required for collaborative problem solving and program development are identified and integrated into a six-stage model. An extensive literature review in the associated fields is presented to show the need for the model described in this dissertation. In addition, a comprehensive study of tools to support collaboration during problem solving and program development was also performed as well as a critique of these tools. A detailed statistical experiment to study the effect of this model on subjects, collaboratively solving a software problem was designed and executed. The experiment included testing the collaborative problem solving and program development model with and without assistance from groupware tools. The subject teams each constructed a software design and this design was evaluated based on, research hypotheses. This experiment produced results indicating the positive effect the Collaborative Model has on problem understanding and the quality of solution planning during collaborative problem solving and program development efforts

    Deliberation and Decision Making Online: Evaluating Platform Design

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    This thesis explores the potential of ICT and online communication to deepen democracy and support large scale online deliberation. It draws together the most promising current practices in online deliberation, presenting a theoretical and empirical exploration of innovative online deliberation platforms. ICT and online communication is increasingly sophisticated and ubiquitous in public life yet its democratic impact is ambiguous. Online engagement is characterised by low quality, disorganised deliberation. Experimental platforms have emerged which utilise novel design, argument visualisation, and machine learning to support large scale deliberation. The fields of informal logic and collective intelligence have been influential on the developments of these platforms. But the platforms and the perspectives that influence them have been neglected by wider research into online deliberation. The thesis seeks to address the question: to what extent can developments in informal logic and collective intelligence address problems in the theory and practice of online deliberation? The theoretical analysis explores the insights that emerge from a comparison of the approaches of informal logic, collective intelligence and deliberative democratic theory. Models of argumentation and reasonableness from collective intelligence and informal logic reveal ways in which deliberative theory is under-defined, as well as providing techniques to structure, support and analyse deliberative processes. The empirical element draws together and analyses the experiences of online deliberation practitioners to provide a deeper understanding of the opportunities and challenges ICT presents for democracy. These novel technologies indicate how challenges associated with knowledge coordination, participant behaviour and information overload can be ameliorated. Yet analysis of the platforms also identifies resourcing, recruitment, collective attention and the application of AI as barriers to developing effective online deliberative spaces

    Proceedings of the 17th International Conference on Group Decision and Negotiation

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    Supporting collaboration in problem-solving groups

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    Designing GSS that can be used effectively by co-located groups presents a number of specific problems that do not exist with other group configurations. In particular, any GSS in a co-located setting has an overhead of use that must be recouped by its benefits, or it reduces the overall group effectiveness. In distributed groups the same basic payback is necessary, but usually the GSS is also used as a communication medium; in co-located groups, members communicate directly so this immediate payback is not available to them and the benefit must come from the decision support strand of GSS.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
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