Toward a Theoretical Model of Consensus Building

On many groups, like those conducting IS/IT requirements negotiations or those conducting risk and control selfassessments, decisions cannot be made by decree because team members are co-responsible peers. In such situations, teams must build consensus to gain commitment from all involved. Although consensus has been widely studied, no causal model of the cognitive mechanisms that give rise to consensus has yet emerged. Such a model might be useful for evaluating, for developing effective and efficient strategies for building consensus in a group and for making sense of the models and results in the current consensus literature. In this paper we derive the logic of Consensus Building Theory (CBT). We then illustrate how the mechanisms of the causal theory could be incorporated into a process model of consensus building. We derive a set of diagnostics for discovering the causes of conflict in a group, and we propose strategies based on CBT for attempting resolution of conflicts

Extending the Contextual and Organizational Elements of Adaptive Structuration Theory in GSS Research

This paper addresses the variance in findings across Group Support Systems (GSS) studies by suggesting an expanded consideration of organizational and contextual elements in Adaptive Structuration Theory (AST). We propose a model of structuring tactics at three levels of abstraction: the meeting level, activity level, and real time intervention level. We illustrate this model with three specific purposeful structuring tactics — agendas, design patterns, and micro-processes —and present related propositions. In addition to reviewing the more familiar tactics of agenda setting and group facilitation, we illustrate an approach to creating GSS value based on invoking particular social structures. We accomplish this through consideration of a design pattern language for collaboration processes drawn from the Collaboration Engineering literature. We conclude by discussing how this model of structuring tactics advances theory and practice in the GSS domain

A Seven-Layer Model of Collaboration: Separation of Concerns for Designers of Collaboration Systems

Designers of collaboration systems address many interrelated issues in a social-technical context. The volume, complexity, and variety of issues can invoke cognitive overload, causing deficiencies in system designs. We use inductive logic to derive seven key areas of concern for designers of collaboration support systems. We use deductive logic to argue that these areas address collaboration at differing levels of abstraction, and so may be organized into a seven-layer model, affording separation of concerns at design time. The layers are: Goals, Products, Activities, Patterns, Techniques, Tools, and Scripts. Design changes at one layer may not necessitate changes to layers above it, but may require changes to layers below it. At each layer and between each layer there are different issues and outcomes that may be addressed with different concepts, techniques and tools. This separation of concerns may reduce cognitive load for designers and may help to improve completeness and consistency of their designs, yielding higher productivity for collaborating groups

PReVENT - protective ventilation in patients without ARDS at start of ventilation: study protocol for a randomized controlled trial

Background It is uncertain whether lung-protective mechanical ventilation using low tidal volumes should be used in all critically ill patients, irrespective of the presence of the acute respiratory distress syndrome (ARDS). A low tidal volume strategy includes use of higher respiratory rates, which could be associated with increased sedation needs, a higher incidence of delirium, and an increased risk of patient-ventilator asynchrony and ICU-acquired weakness. Another alleged side-effect of low tidal volume ventilation is the risk of atelectasis. All of these could offset the beneficial effects of low tidal volume ventilation as found in patients with ARDS. Methods/Design PReVENT is a national multicenter randomized controlled trial in invasively ventilated ICU patients without ARDS with an anticipated duration of ventilation of longer than 24 hours in 5 ICUs in The Netherlands. Consecutive patients are randomly assigned to a low tidal volume strategy using tidal volumes from 4 to 6 ml/kg predicted body weight (PBW) or a high tidal volume ventilation strategy using tidal volumes from 8 to 10 ml/kg PBW. The primary endpoint is the number of ventilator-free days and alive at day 28. Secondary endpoints include ICU and hospital length of stay (LOS), ICU and hospital mortality, the incidence of pulmonary complications, including ARDS, pneumonia, atelectasis, and pneumothorax, the cumulative use and duration of sedatives and neuromuscular blocking agents, incidence of ICU delirium, and the need for decreasing of instrumental dead space. Discussion PReVENT is the first randomized controlled trial comparing a low tidal volume strategy with a high tidal volume strategy, in patients without ARDS at onset of ventilation, that recruits a sufficient number of patients to test the hypothesis that a low tidal volume strategy benefits patients without ARDS with regard to a clinically relevant endpoin

How Interactive Whiteboards Can be Used to Support Collaborative Modeling

Abstract: Modeling is a key activity in system analysis and design. Users as well as stakeholders, experts and entrepreneurs need to be able to create shared understanding about a system representation in various phases of a design process. In each of these phases it is important to align views and ensure that differences in understanding of the system are resolved. Visualization is of high importance in this process and thus a logic approach is to involve stakeholders in collaborative modeling. Technology like interactive whiteboards may provide new opportunities in the support of collaborative modeling. In this paper we offer insights from an exploratory research on experiences in using interactive whiteboards in collaborative modeling, based on semi-structured interviews