Group operating systems for decision factories of the future: an extended relational GDSS architecture

Eck, R.D.; Goul, Michael; Philippakis, Andreas S.; Richards, Stephen C.

doi:10.1109/hicss.1989.49253

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…From a research perspective, development and testing of group decision technologies (Shaw and Fox, 1993;Chen and Liou, 1991;Howorka et al, 1991;Goul, 1990;Goul et al, 1990;Eck et al, 1989;Richards, 1989;Dennis et al, 1988;Gallupe and DeSanctis, 1988;DeSanctis and Gallupe, 1987;DeSanctis and Dickson, 1987;Bui and [arke, 1986;Gray, 1986) during the last ten years have brought some enlightenment to difficulties in applying electronic communication technologies to coordinating distributed decision problems. Extensive experimentation in both university and organizational settings demonstrated success in automating group decision-making techniques, providing positive interventions and identifying architectural requirements of technologies to support multiple agents involved in cooperative processes.…”

Section: Historical Technological Basismentioning

confidence: 99%

“…055 are being used to assist management in solving a variety of semistructured problems including scheduling, stock trading, strategic planning, etc. In addition to classical individual user 055, other types of decision support systems have been implemented including executive information systems (EIS), group decision support systems (GDSS) (Chen and Liou, 1991;Howorka et al, 1991;Goul et al, 1990;Eck et al, 1989;Richards, 1989;]arvenpaa et al, 1988;Crowston and Malone, 1988;DeSanctis and Gallupe, 1987;Dennis et al, 1988;Malone et al, 1987;Huber, 1984), active/symbiotic decision support systems (ADSS) (Dalal and Kasper, 1991;Manheim et al, 1991;Castillo et al, 1991;Raghavan, 1991;Papazoglou et al, 1991;Raghavan, 1990;Mili and Rada, 1990;Manheim et al, 1990;Mastaglio, 1990;Manheim, 1989;Mili, 1989;Raghavan and Chand, 1989;Mili, 1988;Raghavan, 1984), and knowledge-based systems (KBS) (Goul et al, 1992). Anyone or all of these types of systems are present in today's organizations.…”

Section: Introductionmentioning

confidence: 99%

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A Computational Model of Coordination for the Design of Organizational Decision Support Systems

Howorka

Anderson

Goul

et al. 1995

Intelligent Systems in Accounting, Finance and Management

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The Information Technology (IT) for realizing Organizational Decision Support Systems (ODSS) is in a nascent stage of development. This is particularly true in the area of coordination, which is a critical element of ODSS, and which distinguishes ODSS research from earlier research in Group DSS and individually oriented DSS. As a first step in ODSS coordination research, alternative representation schemes need to be examined in terms of both their match with the prevailing needs of organizations and of existing IT approaches that can be brought to bear. Matching ODSS needs with coordination representation requirements is examined by using several supporting reference disciplines including foundational DSS and recent ODSS research frameworks/architectures. Existing IT approaches are adapted from the reference disciplines of Active DSS, Distributed Artificial Intelligence (DAI), and MathematicaVComputational Organization Theory (MCOT) to operationalize a computational model of coordination that: (1) embodies the philosophies of Active DS~including the idea that automated intelligent agents can play a significant role in supporting decision makers by independently carrying out rudimentary tasks to support the various phases of a decision making process; (2) adapts DAI and IT approaches to reflect practical human organizational realities including what we refer to as the 'Open-Ended Knowledge World', and the evolutionary nature of organizations-whereby ODSS coordination representations will be subjected to almost constant revision due to both external environment disruptions and internal events that require adjustments to a preliminary plan; and (3) reflects the fact that organizational goals are often vague, which implies that a coordination representation should be sufficiently robust to reflect ad hoc analysis accommodating of strategy changes.

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Section: Historical Technological Basismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Computational Model of Coordination for the Design of Organizational Decision Support Systems

Howorka

Anderson

Goul

et al. 1995

Intelligent Systems in Accounting, Finance and Management

View full text Add to dashboard Cite

show abstract

“…The composition of these groups reflect the structure of the parent organization, wherein individual s might participate in any one of a number of groups based on their position within the organization [5] . This dynamic formation of groups requires the use of multicast addresses when performing broadcas t functions.…”

Section: Asynchronous Messagin Gmentioning

confidence: 99%

Multicast channels for collaborative applications

Pendergast¹

1993

SIGCOMM Comput. Commun. Rev.

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This paper describes an architecture and communications system for supporting Group Suppor t Systems (GSS) applications via the use of GSS Channel Objects . GSS applications enable group tasks such as co-authoring, communications, negotiation, problem solving, and system design to b e performed . GSS Channel Objects facilitate the creation of GSS applications by providing virtual , multicast connections which parallel the meeting room metaphor of communications . This pape r discusses the requirements, design, and implementation of GSS Channel Objects . This include s performance testing on Ethernet and Token Ring LANs .

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Project CoEx: a distributed artificial intelligence orientation to the design of a cooperating experts' electronic meeting system

Goul

Philippakis

Richards

et al.

Twenty-Third Annual Hawaii International Conference on System Sciences

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Group operating systems for decision factories of the future: an extended relational GDSS architecture

Cited by 7 publications

References 26 publications

A Computational Model of Coordination for the Design of Organizational Decision Support Systems

A Computational Model of Coordination for the Design of Organizational Decision Support Systems

Multicast channels for collaborative applications

Project CoEx: a distributed artificial intelligence orientation to the design of a cooperating experts' electronic meeting system

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