Using computerized collaborative work support systems to improve the logical systems design process

1988 ◽  
Author(s):  
R. Bostrom ◽  
R. Anson
Keyword(s):  
Design Process ◽  
Support Systems ◽  
Collaborative Work ◽  
Systems Design ◽  
Work Support

scholarly journals Prototyping Revisited: - design with users in a cooperative setting

1987 ◽  
Vol 16 (233) ◽  
Author(s):  
Susanne Bødker
Keyword(s):  
Design Process ◽  
Systems Design ◽  
User Participation ◽  
Point Of View ◽  
Computer Application ◽  
Mutual Learning ◽  
Active User ◽  
Hands On ◽  
Paper Prototyping

In this paper, prototyping will be discussed from the point-of-view of user/designer cooperation in design. Active user participation in systems design is a way of improving the quality of the design process as well as the product - a computer application in use. To participate actively in design, users must be allowed to experience the future use situation in the design process. Various prototyping methods seem to offer valuable help in this process. Cooperation between users and designers, the mutual learning process, and hands-on experiences to reveal the triggering of proper operations is, however, only one side of the epistemological interests behind prototyping. At the same time, the practical solutions of different approaches are to some extent applicable but it is perhaps a good idea to reconsider the concept from the perspective of cooperation between users and professional designers.

Design Solutions Guided by User Behavior

2017 ◽  
pp. 138-161 ◽  
Author(s):  
Mariam Ahmed Elhussein
Keyword(s):  
Design Process ◽  
General Framework ◽  
User Behavior ◽  
Systems Design ◽  
Structured Design ◽  
Design Solutions

Tagging systems design is often neglected despite the fact that most system designers agree on the importance of tagging. They are viewed as part of a larger system which receives most of the attention. There is no agreed method when it comes to either analyzing existing tagging systems or designing new ones. There is a need to establish a well-structured design process that can be followed to create tagging systems with a purpose. This chapter uses practical inquiry methodology to generate a general framework that can be applied to analyze tagging systems and proceeds to suggest a design process that can be followed to create new tagging systems. Existing user behavior while tagging is the main guide for the methodology.

Supporting the Complexity of Inquiring Organizations

2011 ◽  
pp. 109-132
Author(s):  
Dianne J. Hall ◽  
Yi Guo
Keyword(s):  
Complex Systems ◽  
Multiagent System ◽  
Support Systems ◽  
Systems Design ◽  
Agent Technology ◽  
Technological Support ◽  
Organization Support

This chapter examines the issue of technological support for inquiring organizations and suggests that the complexity of these organizations is best supported by a technology of equal complexity—that is, by agent technology. Agents and the complex systems in which they are active are ideal for supporting not only the activity of Churchman’s inquirers but also those components necessary to ensure an effective environment. Accordingly, a multiagent system to support inquiring organizations is introduced. By explaining agent technology in simple terms and by defining inquirers and other components as agents working within a multiagent system, this chapter demystifies agent technology, enables researchers to grasp the complexity of inquiring organization support systems, and provides the foundation for inquiring organization support systems design.

Computer-Supported Collaborative Work and Learning

2011 ◽  
pp. 161-193
Author(s):  
John Lim ◽  
Yin Ping Yang ◽  
Zhong Yingqin
Keyword(s):  
Information System ◽  
Support Systems ◽  
Collaborative Work ◽  
Group Support Systems ◽  
Learning Technologies ◽  
Research Interest ◽  
Distributed Work ◽  
Size Task ◽  
The Relationship ◽  
And Training

Evvident and growing research interest has been witnessed on the relationship between the use of commputer-based syystemms and effectivve commmmunication in group-related activvities such as collaborativve learning and training. The vvarious termms accorded to this research streamm include vvirtual teamms, e-collaboration, commputer-supported collaborativve work, distributed work, electronic mmeetings, etc. AA notable and well-accepted aspect in the information system field is group support systems (GSS), the focus of this article. The numerous GSS studies have reported findings which may not be altogether consistent. An overall picture is much in want which attends to the synthesizing of the findings accumulated over decades. This article presents a mmeta-analyysis studyy aimmed at gaining a general understanding of GSS effects. We invvestigate six immportant mmoderators of group outcommes, nammelyy group size, task tyype, anonymymityy, timme and proximmityy, levvel of technologyy, and the existence of facilitation. The results point to immportant conclusions about the phenommenon of interest; in particular, their immplications vvis-à-vvis commputer-supported collaborativve learning technologies and use are discussed and highlighted along each dimmension of the studied vvariables.

DSS and Multiple Perspectives of Complex Problems

2011 ◽  
pp. 286-295 ◽  
Author(s):  
David Paradice ◽  
Robert A. Davis
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Collaborative Work ◽  
Vantage Point ◽  
Decision Makers ◽  
Complex Problems ◽  
Knowledge Based ◽  
Spreadsheet Models

Decision support systems have always had a goal of supporting decision-makers. Over time, DSS have taken many forms, or many forms of computer-based support have been considered in the context of DSS, depending on one’s particular perspective. Regardless, there have been decision support systems (DSS), expert systems, executive information systems, group DSS (GDSS), group support systems (GSS), collaborative systems (or computer-supported collaborative work (CSCW) environments), knowledge-based systems, and inquiring systems, all of which are described elsewhere in this encyclopedia. The progression of decision support system types that have emerged follows to some degree the increasing complexity of the problems being addressed. Some of the early DSS involved single decision-makers utilizing spreadsheet models to solve problems. Such an approach would be inadequate in addressing complex problems because one aspect of problem complexity is that multiple stakeholders typically exist. Baldwin (1993) examined the need for supporting multiple views and provides the only attempt found in the information systems literature to operationalize the concept of a perspective. In his work, a view is defined as a set of beliefs that partially describe a general subject of discourse. He identified three major components of a view: the belief or notion to convey, a language to represent the notion, and a subject of discourse. He further described notions as comprising aspects and a vantage point. Aspects are the characteristics or attributes of a subject or situation that a particular notion emphasizes. A vantage point is described by the level of detail (i.e., overview or detailed analysis). Assuming the subject of discourse can be identified with the notion, Baldwin described how differences in views may occur via differences in the notion, the language, or both.

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