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Статті в журналах з теми "Decision Support and Group Support Systems":
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Nour, Mohamed A., and David (Chi-Chung) Yen. "Group decision support systems." Information & Management 23, no. 2 (August 1992): 55–64. http://dx.doi.org/10.1016/0378-7206(92)90008-4.
POOLE, MARSHALL SCOTT, MICHAEL HOLMES, RICHARD WATSON, and GERARDINE DeSANCTIS. "Group Decision Support Systems and Group Communication." Communication Research 20, no. 2 (April 1993): 176–213. http://dx.doi.org/10.1177/009365093020002002.
Kersten, Gregory E. "NEGO — Group decision support system." Information & Management 8, no. 5 (May 1985): 237–46. http://dx.doi.org/10.1016/0378-7206(85)90001-1.
McGrath, Michael Robert. "Strategic decision making and group decision support systems." New Directions for Institutional Research 1986, no. 49 (1986): 65–73. http://dx.doi.org/10.1002/ir.37019864907.
Neacşa, Marin, George Adîr, and Victor Adir. "Group Decision Support Systems and Product Lifecycle Management in Robotics." Applied Mechanics and Materials 555 (June 2014): 799–804. http://dx.doi.org/10.4028/www.scientific.net/amm.555.799.
The paper underlines the importance of the support systems for groups decisions in the decisional process of an organization, when a great number of decision-makers are working together to solve with maximum efficiency the problems appeared in different projects of the organization. A greater volume of information allows better statistical predictions, necessary in the adoption of decisions. We present a method that could solve different problems in many projects, based on the decision theory in risk and uncertainty conditions.
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Aiken, Milam W., Olivia R. Liu Sheng, and Douglas R. Vogel. "Integrating expert systems with group decision support systems." ACM Transactions on Information Systems 9, no. 1 (January 3, 1991): 75–95. http://dx.doi.org/10.1145/103731.103735.
Aiken, Milam, Jeanette Martin, Mahesh Vanjani, and Randall Sexton. "Group Decision Support Systems in Higher Education." Journal of Educational Technology Systems 23, no. 1 (September 1994): 3–12. http://dx.doi.org/10.2190/7ehf-dbhv-c5g1-q3fe.
A Group Decision Support System (GDSS) can be an effective tool in teaching groups of college students. This article describes a typical GDSS in use at the University of Mississippi and shows how the system can be used in teaching at the college level. A GDSS can enhance communication and learning in seminar, foreign language, and hearing-impaired classes. Teachers may interactively test their students with a GDSS and can present a lecture through the system. Moderate to large groups involved in exchanging comments or preferences experience more efficient and effective communication along with greater group satisfaction when using the system.
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Nehmer, Robert A. "Communicative Action In Group Decision Support Systems." Review of Business Information Systems (RBIS) 7, no. 1 (January 1, 2003): 73–88. http://dx.doi.org/10.19030/rbis.v7i1.4544.
Bui, Tung, and Matthias Jarke. "Communications Requirements for Group Decision Support Systems." Journal of Management Information Systems 2, no. 4 (March 1986): 8–20. http://dx.doi.org/10.1080/07421222.1986.11517743.
Дисертації з теми "Decision Support and Group Support Systems":
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Haupt, Kevin Paul. "Acquisition group decision support system." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA231426.
Thesis (M.S. in Systems Technology)--Naval Postgraduate School, June 1990. Thesis Advisor(s): Lacer, Donald A. Second Reader: Zviran, Moshe. "June 1990." Description based on title screen as viewed on March 23, 2010. DTIC Identifier(s): Decision Support Systems, Military Procurement, Decision Making. Author(s) subject terms: Acquisition, Group Decision Support System. Includes bibliographical references (p. 64). Also available in print.
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Ackermann, Fran. "Consideration of a specific group decision support methodology in the light of the group decision support systems literature." Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319287.
TEAMDEC is a Group Decision Support System (GDSS). The development of a GDSS is supported by a broad spectrum of theories and techniques. Two major aspects of GDSS development were considered in TEAMDEC design: HCI and decision-making assistance. These two aspects interact to promote an interactive group decision support system with high quality.
Decision guidance using a script-based knowledge representation improves the GDSS's efficiency, effectiveness, and flexibility. The traditional script, however, is relatively inflexible. The proposed application, TEAMDEC, provides a set of solutions to support customization in a script system to enhance the decision guidance utilization.
The user interface design plays an important role in the overall system design. Two software development models (lifecycle model and V-model with backtracking) are adopted for TEAMDEC development. The user interface design of TEAMDEC is considered from three perspectives: functional, aesthetic, and structural.
Quality is emphasized in the development of the interactive system. It can be measured from two perspectives: those of the user and the designer. The quality measures of TEAMDEC are categorized into external properties and internal properties, corresponding to the two perspectives. Master of Science
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Cano, Arnoldo Rafael. "Effects of Technological Support on Decision Making Performance of Distributed Groups." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36733.
This research was concerned with the collection of empirical data necessary to estimate the effects of
decision support tools on the performance of distributed groups. Data was collected in a controlled
experimental environment that simulated a geographically-dispersed meeting through the use of
videoconferencing and group communication support (GCSS) technology. Results of the use of a Group
Decision Support System (GDSS) on group process and outcome variables were mixed. As predicted by
the literature the use of a GDSS by distributed groups improved overall group consensus, decision
accuracy, and decision effectiveness. The use of a GDSS also increased perceived process structure.
Contrary to previous studies, the use of a GDSS increased decision time, and decreased overall
satisfaction with the group process. No significant effects were found for perceived consensus,
cooperation, amount of information exchange, or confidence in the decision.
A strong correlation was found between decision quality and decision time. An even stronger correlation
was found between perceived structure of the process and satisfaction with the process. The lack of
feedback about the process and its outcomes could explain the lack of a GDSS effect on perceptions of
consensus, cooperation, and confidence in the decision. Perception of subjective measures of the process
may depend on the presence of the appropriate types of feedback. The results suggest that an increase in
structure without a perceived improvement in decision quality (confidence in the decision) tends to
reduce group satisfaction.
A richer taxonomy for Computer Supported Cooperative Work (CSCW) systems is proposed whereby
three orthogonal dimensions of group support are defined. These three dimensions of group support are:
Communication support, decision support, and presence support. This new taxonomy suggests a number of
research directions aimed at the empirical identification of contextual and design factors relevant to
distributed group performance and decision making performance in general. Master of Science
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Lu, Jie. "A framework and prototype for intelligent multiple objectives group decision support systems." Thesis, Curtin University, 2000. http://hdl.handle.net/20.500.11937/1554.
The objectives of this research are threefold: (i) to develop a conceptual framework and a prototype in order to extend the application capability of a category of multiple objective decision support systems (MODSS) techniques; (ii) to explore the combined functionalities of knowledge-based expert systems (ES) and MODSS through embedding an intelligent front-end, and (iii) to develop a new system and process of dealing with multiple objective decision making (MODM) models in a group decision support system (GDSS) framework. Ultimately, a system that integrates MODSS, ES and GDSS is generated, which is then evaluated in a laboratory experimental setup. This integrated system contains a sufficient number of MODM methods to solve MODM problems, provides an ES-based guide to select and use the most suitable MODM method, and has the capability to aggregate individual decision makers' preferences to produce a compromise solution of an MODM problem in different forms and styles of group meetings. The system is supported by a set of group decision making (GDM) methods which combine the preferences of the individual group members and thus increases the confidence of each group member in the compromise solution.The research is conducted using a multiple-methodologies approach using the system development methodology as the backbone. The conceptual framework of the integrated system is elaborated to integrate multiple system elements into one facility at the application system level based on functional and resource integration. A prototype implements this conceptual framework as an intelligence-based and graphical user interface (GUI)-based MODSS that works in an individual/group environment. Both the conceptual framework and the prototype are called Intelligent Multiple Objectives Group Decision Support Systems (IMOGDSS).Initial evaluation of the IMOGDSS is encouraging, which is conducted in the form of testing a number of hypotheses in an experimental setup. This research thus makes contributions in both theoretical and application domains. Five major contributions are listed below:It develops a unique conceptual framework of integrating MODSS, ES and GDSS effectively to deal with MODM problem in individual/group decision making under a knowledge-based intelligent architecture.It provides a new application of ES, that is, utilising knowledge-based ES to select the most efficient MODM method for each particular decision maker (or decision group) in a particular decision problem.The complete method management function of the MODM methodology base guides the decision makers to use the most suitable method to solve their decision making problems, allows them to use multiple methods to resolve complex problems, that could not otherwise be solved with a single MODM, and also allows the group members to get solutions from different methods.This study produces an opportunity to select and apply the 'best' aggregation model to aggregate the individual solutions of an MODM problem through integrating various GDM methods in a methodology base.This study implements a two-stage configuration of group decision support software that provides a GUI-based hierarchical procedure for solving MODM problems with intelligent guidance in a decision group. The two-stage group decision making procedure is able to help the decision makers to analyse, understand and interact cooperatively in the group decision making process to reach a compromise solution.
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Aiken, Milam Worth. "An expert systems approach to group decision support systems pre-session planning." Diss., The University of Arizona, 1991. http://catalog.hathitrust.org/api/volumes/oclc/31253019.html.
Morton, Alec. "Distributed group decision support : an exploration of some key concepts." Thesis, University of Strathclyde, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248536.
Lu, Jie. "A framework and prototype for intelligent multiple objectives group decision support systems." Curtin University of Technology, Curtin Business School, 2000. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=10183.
The objectives of this research are threefold: (i) to develop a conceptual framework and a prototype in order to extend the application capability of a category of multiple objective decision support systems (MODSS) techniques; (ii) to explore the combined functionalities of knowledge-based expert systems (ES) and MODSS through embedding an intelligent front-end, and (iii) to develop a new system and process of dealing with multiple objective decision making (MODM) models in a group decision support system (GDSS) framework. Ultimately, a system that integrates MODSS, ES and GDSS is generated, which is then evaluated in a laboratory experimental setup. This integrated system contains a sufficient number of MODM methods to solve MODM problems, provides an ES-based guide to select and use the most suitable MODM method, and has the capability to aggregate individual decision makers' preferences to produce a compromise solution of an MODM problem in different forms and styles of group meetings. The system is supported by a set of group decision making (GDM) methods which combine the preferences of the individual group members and thus increases the confidence of each group member in the compromise solution.The research is conducted using a multiple-methodologies approach using the system development methodology as the backbone. The conceptual framework of the integrated system is elaborated to integrate multiple system elements into one facility at the application system level based on functional and resource integration. A prototype implements this conceptual framework as an intelligence-based and graphical user interface (GUI)-based MODSS that works in an individual/group environment. Both the conceptual framework and the prototype are called Intelligent Multiple Objectives Group Decision Support Systems (IMOGDSS).Initial evaluation of the IMOGDSS is encouraging, which ++ is conducted in the form of testing a number of hypotheses in an experimental setup. This research thus makes contributions in both theoretical and application domains. Five major contributions are listed below:It develops a unique conceptual framework of integrating MODSS, ES and GDSS effectively to deal with MODM problem in individual/group decision making under a knowledge-based intelligent architecture.It provides a new application of ES, that is, utilising knowledge-based ES to select the most efficient MODM method for each particular decision maker (or decision group) in a particular decision problem.The complete method management function of the MODM methodology base guides the decision makers to use the most suitable method to solve their decision making problems, allows them to use multiple methods to resolve complex problems, that could not otherwise be solved with a single MODM, and also allows the group members to get solutions from different methods.This study produces an opportunity to select and apply the 'best' aggregation model to aggregate the individual solutions of an MODM problem through integrating various GDM methods in a methodology base.This study implements a two-stage configuration of group decision support software that provides a GUI-based hierarchical procedure for solving MODM problems with intelligent guidance in a decision group. The two-stage group decision making procedure is able to help the decision makers to analyse, understand and interact cooperatively in the group decision making process to reach a compromise solution.
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Ferrari, Julie. "The effects of anonymity on individuals using group decision support systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0028/MQ27036.pdf.
Clark, Cindy, and R. Warren Miller. "Experimental research and empirical testing of distributed Group Decision Support Systems." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/42109.
Past research in the area of Group Decision Support Systems (GDSS) has attempted to ascertain its future potential in the business world. This thesis extends the GDSS research to the area of distributed Group Decision Support Systems (DGDSS) . An experiment was performed where groups of three and four persons were tested in different group decision making settings, a traditional decision room and a DGDSS. An experimental prototype DGDSS program, developed at Claremont University, Claremont, CA, was evaluated during the experiment. The experiment pointed out several program advantages and disadvantages during the evaluation. The study determined that use of the DGDSS resulted in generation of larger numbers of criteria and alternatives and greater decision satisfaction. DGDSS supported groups experienced: less commitment to the final decision, less satisfaction with the decision process, and less satsifaction with communication.
Hänle, Michael. Systeme zur Unterstützung von Gruppenentscheidungen: Konzeption und Implementation eines Prototypen. Bergisch Gladbach: J. Eul, 1993.
Thierauf, Robert J. Group decision support systems for effective decision making: A guide for MIS practitioners and end users. New York: Quorum Books, 1989.
Clark, Cindy. Experimental research and empirical testing of distributed Group Decision Support Systems. Monterey, Calif: Naval Postgraduate School, 1989.
Sillince, John A. A. Top level design for argumentation-based group decision-support system. Sheffield: Sheffield University, School of Management, 1995.
Частини книг з теми "Decision Support and Group Support Systems":
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Carlsson, Christer, Mario Fedrizzi, and Robert Fullér. "Group Decision Support Systems." In Fuzzy Logic in Management, 57–125. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8977-2_3.
Gear, Tony, and Martin Read. "On-Line Group Decision Support." In Lecture Notes in Economics and Mathematical Systems, 124–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-49298-3_12.
O’Donnell, S. "An Introduction to Group Decision Making and Group Decision-Support Systems." In Computer Aided Decision Support in Telecommunications, 183–207. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0081-3_12.
French, Simon. "Strategic Decision Analysis and Group Decision Support." In Computer Systems and Software Engineering, 217–30. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3506-5_8.
Ackermann, Fran, and Colin Eden. "Group Support Systems: Concepts to Practice." In Handbook of Group Decision and Negotiation, 1–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-12051-1_59-1.
Herschel, Richard, Bayard E. Wynne, and Tim Noel. "The Impact of Group Gender Composition on Group Performance in an Electronic Meeting System Setting: A Study of Group Gender Composition." In Recent Developments in Decision Support Systems, 457–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02952-7_18.
Gray, Paul. "The Nature of Group Decision Support Systems." In Handbook on Decision Support Systems 1, 371–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48713-5_19.
Тези доповідей конференцій з теми "Decision Support and Group Support Systems":
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Asghar, Sohail, Simon Fong, and Rukhsana. "A Contemplation of Group Decision Support Systems." In 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccit.2009.316.
Poole, Marshall Scott, Michael Homes, and Gerardine DeSanctis. "Conflict management and group decision support systems." In the 1988 ACM conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/62266.62284.
Ho, T. H., K. S. Raman, and R. T. Watson. "Group decision support systems: the cultural factor." In the tenth international conference. New York, New York, USA: ACM Press, 1989. http://dx.doi.org/10.1145/75034.75045.
Kulagin, Konstantin A., Andrey N. Migachev, Nikolay A. Mostakov, and Tatiana Ya Gladkikh. "UAV Group Operator Decision Support System." In 2022 6th International Scientific Conference on Information, Control, and Communication Technologies (ICCT). IEEE, 2022. http://dx.doi.org/10.1109/icct56057.2022.9976527.
Łodziński, Andrzej. "Multicriteria support of choosing a group decision." In 2015 Federated Conference on Computer Science and Information Systems. IEEE, 2015. http://dx.doi.org/10.15439/2015f58.
Mastrianni, Angela. "Designing and Evaluating Decision Support Systems for Clinical Teams." In GROUP '23: The 2023 ACM International Conference on Supporting Group Work. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3565967.3571755.
"QUALITY OF KNOWLEDGE IN GROUP DECISION SUPPORT SYSTEMS." In 1st International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001663501010106.
Jongsawat, Nipat, and Wichian Premchaiswadi. "Group awareness information in web-based group decision support system." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346207.
Nouh, Mariam, Mohammad Hadhrawi, Abel Sanchez, and Anas Alfaris. "Towards Cloud-Based Decision Support Platform for Group Decision Making." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.16.
Rosanty, Elvira Soufyani, Halina Mohamed Dahlan, and Ab Razak Che Hussin. "Multi-Criteria Decision Making for Group Decision Support System." In 2012 International Conference on Information Retrieval & Knowledge Management (CAMP). IEEE, 2012. http://dx.doi.org/10.1109/infrkm.2012.6205015.
Звіти організацій з теми "Decision Support and Group Support Systems":
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Wolfe, Michael D. Development of the 'City of Quality (Coq)' Group Decision Support System. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada226744.
Clark, Louise, and Jaideep Gupte. Community Embedded Decision Support Systems: Learning Report from the Smart Data for Inclusive Cities Bhopal Pilot. Institute of Development Studies (IDS), February 2022. http://dx.doi.org/10.19088/ids.2022.020.
This document presents learning from the pilot to provide Community Embedded Decision Support Systems (CEDSS) delivered by the EU-funded Smart Data for Inclusive Cities. The pilot was conducted through a partnership of the Institute of Development Studies (IDS, UK); National Institute of Urban Affairs (NIUA, India), Samarthan-Centre for Development Support (India) and GRADE (Grupo de Análisis para el Desarrollo; Peru), in close collaboration with authorities of the Smart Cities Mission in Bhopal and community groups in the Banganga informal settlement between May and October 2021.
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Sorensen, H. B., John S. Park, and Jr. Instructional Systems Development Decision Support. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada228052.
Grevet, Jean-Louis M., and Alexander H. Levis. Coordination in Organizations with Decision Support Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada197951.
Gurney, John O., Marsh Jr., Wauchope Elaine, and Kenneth. Focus of Attention in Decision Support Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada294037.
Bostick, K. V. Decision support system to select cover systems. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/10116819.
Kennedy, John C., Piyush Sabharwall, Shannon M. Bragg-Sitton, Konor L. Frick, Patrick McClure, and D. V. Rao. Special Purpose Application Reactors: Systems Integration Decision Support. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1475413.
Hirsch, Gary B., Jack Homer, Brooke N. Chenoweth, George A. Backus, and David R. Strip. Behavior-aware decision support systems : LDRD final report. Office of Scientific and Technical Information (OSTI), November 2007. http://dx.doi.org/10.2172/934860.
Hawgood, John. Formal 'Systems Languages' in Decision Support Systems for Military Commanders. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada169673.
Riedel, Sharon L. User Acceptance and Field Implementation of Decision Support Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada200412.
