Academic literature on the topic 'Group decision making. Decision support systems. Performance'

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Journal articles on the topic "Group decision making. Decision support systems. Performance"

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Silvi, Riccardo, Monica Bartolini, Anna Raffoni, and Franco Visani. "Business Performance Analytics: level of adoption and support provided to Performance Measurement Systems." MANAGEMENT CONTROL, no. 3 (December 2012): 117–42. http://dx.doi.org/10.3280/maco2013-su3006.

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Despite several studies on the importance of Performance Measurement Systems (PMS), often their implementation is considered insufficient or unsatisfactory. This situation is motivating research on several issues: PMS design and focus, cultural and technological aspects, and the specific contexts of implementation. This paper introduces Business Performance Analytics (BPA) as an important framework for successful PMS design and adoption. Specifically, it defines BPA as the use of data and analytical methods to understand and control business dynamics and performance. Based on an exploratory survey on a group of global companies, the paper highlights the importance of measurement not fully delivered by current PMS, together with a first examination of the implementation of BPA in practice. The analysis shows a low level of adoption of BPA both for strategic and operational decisions. At the same time, companies adopting BPA have a higher perception of relevance of statistical and mathematical tools for supporting the decision-making process. The results also show the presence of the two clusters with very different approaches to performance measurement. The "advanced" one is characterized by the implementation of Business Intelligence tools, together with advanced management accounting and PMS approaches. Compared with the "basic" one, the "advanced" cluster shows a higher perception of BPA effectiveness in supporting the decision-making process and also a higher satisfaction for the contribution provided by the information system to the management action.
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Morrison, Ben W., Mark W. Wiggins, and Natalie M. V. Morrison. "Utility of Expert Cue Exposure as a Mechanism to Improve Decision-Making Performance Among Novice Criminal Investigators." Journal of Cognitive Engineering and Decision Making 12, no. 2 (January 23, 2018): 99–111. http://dx.doi.org/10.1177/1555343417746570.

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The research tested whether systematic exposure to expert-identified cues would improve novice criminal investigators’ cue recognition and, in turn, decision making. Two studies are reported, the first of which was a pre- to postexposure assessment of 20 novices’ cue recognition. This involved testing novices’ recognition (accuracy and latency) of pairings of text-based labels (elicited via cognitive task analyses with subject matter experts) prior to and following an exposure phase. The results revealed statistically significant improvements in comparison with a control group. In the second study, an assessment of 36 novices’ decision-making performance was undertaken prior to and following cue-based exposure (either expert or control cues). Participants engaged one of two decision tasks, which varied in the level of decision support offered: high (i.e., most pertinent features were highlighted for users) or low (i.e., features were naturally “embedded” in the task environment). Although participants receiving expert cue exposure demonstrated improvements in decision-making efficiency, advances in accuracy could be established only where a high level of support was offered. It was concluded that expert cue exposure can offer opportunities for learner development; however, a combination of exposure programs and decision support systems offers the greatest potential in improving the situation assessment skills of less experienced investigators.
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Kruse, Clemens Scott, and Nolan Ehrbar. "Effects of Computerized Decision Support Systems on Practitioner Performance and Patient Outcomes: Systematic Review." JMIR Medical Informatics 8, no. 8 (August 11, 2020): e17283. http://dx.doi.org/10.2196/17283.

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Background Computerized decision support systems (CDSSs) are software programs that support the decision making of practitioners and other staff. Other reviews have analyzed the relationship between CDSSs, practitioner performance, and patient outcomes. These reviews reported positive practitioner performance in over half the articles analyzed, but very little information was found for patient outcomes. Objective The purpose of this review was to analyze the relationship between CDSSs, practitioner performance, and patient medical outcomes. PubMed, CINAHL, Embase, Web of Science, and Cochrane databases were queried. Methods Articles were chosen based on year published (last 10 years), high quality, peer-reviewed sources, and discussion of the relationship between the use of CDSS as an intervention and links to practitioner performance or patient outcomes. Reviewers used an Excel spreadsheet (Microsoft Corporation) to collect information on the relationship between CDSSs and practitioner performance or patient outcomes. Reviewers also collected observations of participants, intervention, comparison with control group, outcomes, and study design (PICOS) along with those showing implicit bias. Articles were analyzed by multiple reviewers following the Kruse protocol for systematic reviews. Data were organized into multiple tables for analysis and reporting. Results Themes were identified for both practitioner performance (n=38) and medical outcomes (n=36). A total of 66% (25/38) of articles had occurrences of positive practitioner performance, 13% (5/38) found no difference in practitioner performance, and 21% (8/38) did not report or discuss practitioner performance. Zero articles reported negative practitioner performance. A total of 61% (22/36) of articles had occurrences of positive patient medical outcomes, 8% (3/36) found no statistically significant difference in medical outcomes between intervention and control groups, and 31% (11/36) did not report or discuss medical outcomes. Zero articles found negative patient medical outcomes attributed to using CDSSs. Conclusions Results of this review are commensurate with previous reviews with similar objectives, but unlike these reviews we found a high level of reporting of positive effects on patient medical outcomes.
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Forcino, Rachel C., Marcus Thygeson, A. James O’Malley, Marjan J. Meinders, Gert P. Westert, and Glyn Elwyn. "Measuring Patient-Reported Shared Decision-Making to Promote Performance Transparency and Value-Based Payment: Assessment of collaboRATE’s Group-Level Reliability." Journal of Patient Experience 7, no. 5 (November 3, 2019): 742–48. http://dx.doi.org/10.1177/2374373519884835.

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Shared decision-making (SDM) between clinicians and patients is a key component of patient experience, but measurement efforts have been hampered by a lack of valid and reliable measures that are feasible for routine use. In this study, we aim to investigate collaboRATE’s reliability, calculate required sample sizes for reliable measurement, and compare Consumer Assessment of Healthcare Providers and Systems (CAHPS) patient experience survey items to collaboRATE. CollaboRATE’s provider group-level reliability reached acceptable reliability at 190 patient reports, while the CAHPS SDM measure demonstrated similar reliability at a sample size of 124. The CAHPS communication measure reached acceptable reliability with 55 patient reports. A strong correlation was observed between collaboRATE and CAHPS communication measures ( r = 0.83). As a reliable measure of SDM, collaboRATE may be useful for both building payment models that support shared clinical decision-making and encouraging data transparency with regard to provider group performance.
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Salehi, Pouria, Erin K. Chiou, and Adam Wilkins. "Human-Agent Interactions: Does Accountability Matter in Interactive Control Automation?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1643–47. http://dx.doi.org/10.1177/1541931218621373.

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In human-automation systems, where high situation awareness is associated with better decision-making, understanding accountability may be crucial to preventing automation complacency. In supervisory control automation, there is some evidence that accountability increases human-automation performance; however, with increasingly intelligent automated agents, human-agent work relationships may resemble more interactive control compared to supervisory control. We investigate the effects of social accountability in a simulated joint task environment and hypothesize that people under an accountability condition would cooperate more with an automated agent than people under a non-accountability condition, in a shared cognitive task. Results from our study support this hypothesis. However, for the accountability group, people’s performance in terms of units processed was lower, and this group also self-reported lower performance and attentional control, with higher frustration. These findings indicate that accountability may slow the decision-making process through added pressure, with some costs to short term efficiency.
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Sambamurthy, V., and Wynne W. Chin. "The Effects of Group Attitudes Toward Alternative GDSS Designs on the Decision-making Performance of Computer-Supported Groups." Decision Sciences 25, no. 2 (March 1994): 215–41. http://dx.doi.org/10.1111/j.1540-5915.1994.tb01840.x.

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Parra López, Carlos, Javier Calatrava Requena, and Tomás De Haro Giménez. "Evaluación comparativa multifuncional de sistemas agrarios mediante AHP: Aplicación al olivar ecológico, integrado y convencional de Andalucía." Economía Agraria y Recursos Naturales 5, no. 9 (October 19, 2011): 27. http://dx.doi.org/10.7201/earn.2005.09.02.

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Even though multifunctionality concept is reflected, implicit or explicitly, in the design of actual agrarian policies, its consideration when analysing and assessing farming systems is relatively limited in the scientific literature. Analytic Hierarchy Process (AHP) is proposed with this aim. AHP is a multicriteria discrete decision support technique that is used in complex decision making. This methodology is stated jointly with a proposed procedure to measure relative agreement among decision makers and uniformity of alternatives’ performances in group decision making. Finally AHP is implemented in the assessment of organic, integrated and conventional olive groves in Andalusia considering criteria of a different nature – economic, technical, sociocultural and environmental –. The final purpose is determining the more interesting growing techniques from a holistic point of view for all the society in the medium/long-term on the basis of knowledge of experts on olive.
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Parra-López, Carlos, Javier Calatrava-Requena, and Tomás de-Haro-Giménez. "A multi-criteria evaluation of the environmental performances of conventional, organic and integrated olive-growing systems in the south of Spain based on experts' knowledge." Renewable Agriculture and Food Systems 22, no. 3 (August 8, 2007): 189–203. http://dx.doi.org/10.1017/s1742170507001731.

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AbstractThe medium to long-term environmental performances of organic, integrated and conventional olive-growing systems in the average conditions of the south of Spain are evaluated and compared with respect to soil erosion, soil fertility, rational use of irrigation water, water contamination, atmospheric pollution and biodiversity, based on experts’ knowledge. The aim of the research was to test the common implicit assumption of environmental superiority of the two alternative farming systems over the conventional system. For this purpose, the Analytic Hierarchy Process (AHP), a widely used multi-criteria decision-making tool, has been implemented. AHP enables us to deal with complex decision-making problems with multiple criteria, stakeholders and decision-makers, high uncertainty and risk, such as in the case of multi-criteria environmental comparison of alternative farming systems. Twenty experts in olive production, clustered into three groups according to their professional field of interest, were involved in the analysis. The utilization of experts' knowledge is justified when information relevant for urgent decision-making is not available, is partial or is time and resource demanding, and a holistic perspective is required. Indexes and procedures are proposed for group decision-making, to detect variation in expert opinions and differences between alternative systems' performances. Despite bias in the judgments of the groups of experts in some topics, results confirm the holistic environmental superiority of organic and integrated alternatives over the conventional olive system in Andalusia in the medium to long-term. The results represent a scientific base to justify and endorse institutional support regarding the promotion and implementation of organic and integrated olive-growing systems in the region, which are likely to result in greater social welfare.
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Kapovits, Geza, and Gergely Dobszay. "Possibilities and Problems in Applying Decision Support Systems for Special Challenges in the Design of Building Constructions." Advanced Materials Research 899 (February 2014): 583–88. http://dx.doi.org/10.4028/www.scientific.net/amr.899.583.

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The objective of this study is to examine the possibility of using DSS in the engineering design of a special group of building constructions: 'cladded roofs'. These are roofs whose cladding is the same as the façade’s, giving buildings a homogeneous appearance. For architectural impression the roof is made of unusual materials and complex structures thus cannot be designed with traditional guidelines. The goal of using DSS is to facilitate and simplify the range of possible materials and structures, to assist and expedite finding the optimal version and to reduce the likelihood of design flaws. In addition to eco-efficiency in production, transportation, and energy consumption of buildings, we hold it to be important to reduce the amount of materials used to a necessary minimum. [1] To achieve this all materials should be used at places where their specific characteristics prevail most effectively. The criteria for applying DSS for ‘cladded roofs’ is the successful structuring of the necessary constructional data and variations. We propose a method to generate numerous proposed solutions and rank them based on their technical performance and value. The result is a kind of 'guided decision-making' which may be an important aid in the design of nonstandard structures.
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Wulf, Anna, and Lynne Butel. "Knowledge sharing and collaborative relationships in business ecosystems and networks." Industrial Management & Data Systems 117, no. 7 (August 14, 2017): 1407–25. http://dx.doi.org/10.1108/imds-09-2016-0408.

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Purpose The sharing of knowledge between partners in collaborative relationships is widely accepted to be fundamental to supporting strategic decision making, particularly in relation to innovation management and business sustainability. The purpose of this paper is to focus on how the structure of collaborative relationships in business networks may determine successful knowledge sharing and thus improve decision making and business performance. Design/methodology/approach Expert interviews were conducted with participants operating in networks and business ecosystem in four different sectors in Italy and Germany, exploring the process of knowledge sharing, organisational learning and decision making within collaborative relationships. A qualitative textual analysis was used to analyse the experts’ responses. Findings The research found that an organisation’s network position and the network structure, as well as the governance and richness of the business ecosystem in which it operates, influence its ability to share knowledge, to innovate and therefore to compete sustainably. Research limitations/implications The research demonstrates that innovative strategic decision making, based on access to appropriate knowledge, occurs within the context of social and business network relations operating within a broader more diverse business ecosystem. Closer dyadic or small working group ties best facilitate trust and sharing of the most valuable knowledge. Appropriate participation in and management of such structures is therefore essential to support knowledge-based decision making, and critical to sustained competitive advantage. Originality/value The research focusses on how interfirm relationships are established and maintained, how firms establish trust and facilitate knowledge sharing forming the basis of organisational learning.
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Dissertations / Theses on the topic "Group decision making. Decision support systems. Performance"

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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.

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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.
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Yuen, Sze-ling, and 阮思玲. "An empirical investigation of the effects of coaction facilitation on task outcomes and process perceptions of decision-making groups withinthe group support system context." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31064425.

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Yuen, Sze-ling. "An empirical investigation of the effects of coaction facilitation on task outcomes and process perceptions of decision-making groups within the group support system context." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31064425.

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李淑明 and Shuk-ming Selina Li. "The impact of groupware on organizational communication: an examination of group decision-making performance andoutcomes with the support of computer-based communication technologies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31269047.

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Li, Shuk-ming Selina. "The impact of groupware on organizational communication : an examination of group decision-making performance and outcomes with the support of computer-based communication technologies /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1987392X.

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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.

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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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Ozer, Ibrahim. "Multi-criteria group decision making methods using AHP and integrated Web-based decision support systems." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27545.

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This thesis explores different group decision making methods using the Analytical Hierarchical Process (AHP) applied to the multi-criteria decision making problem of selecting a preferred "site" and develops a support system for group decision making. The group members consider sites to have alternative and often conflicting uses. It is imperative for decision makers in the responsible group to have an appropriate combination of tools, computer software and decisions support systems in order to make the most preferred decisions as a group despite potential inherent conflict among members of the decision making group. To support this idea and facilitate decision making, alternative group multi-criteria decision making (MCDM) evaluation techniques are examined. These include; AHP, Weighted Sum Method (WSM), Weighted Product Method (WPM), AHP Combined Method, Group Evaluation Method, Fuzzy AHP, Fuzzy AHP Combined, and Fuzzy AHP Group. A web-based comparison framework is developed as a prototype to facilitate model use. These methods are applied to the evaluation of coastal zone sites for alternate marine use including aquaculture or fish farming. Aquaculture is one of the fastest growing activities among coastal nations. At the same time, companies, researchers, and coastal communities are seeking assistance in identifying appropriate coastal zone sites for commercial fishing and aquaculture activities, habitat reserves, and marine recreation. The aquaculture case study evaluates four possible fish sites in the Grand Marian Island area of Atlantic Canada.
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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.

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Winniford, MaryAnne. "The effects of electronic meeting support on large and small decision-making groups." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184901.

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This research compared the use of an electronic meeting system tool to a manual group process in large and small groups in a controlled laboratory experiment. Outcomes measured include the quality of decision, the time taken in various stages of the decision making process, and group member satisfaction. A research model of the variables influencing group decision making was developed. The six independent variables included in this model are group size, the rule by which the group makes a decision, the incentives driving the group, the distribution of useful information within the group, the task complexity, and the meeting support (electronic or manual). In this research group size and method of support were manipulated, while the other variables were controlled. A decision-making task was developed for this research to specify and manipulate the six independent variables. The task described a product mix problem in which information on each product was given to group members. The group shared information and jointly determined an outcome. The group used an unanimous decision rule to choose a solution. A numerical outcome was used to objectively measure decision quality. Each member of the group received a cash payoff determined by the group's solution as incentive in accomplishing the task. All groups found the optimal solution. The simplicity of the task may have minimized the differences found between groups. There was no significant difference in general member satisfaction or time to decision. Prior knowledge was found to influence general member satisfaction and the time needed for the group to share information. Members of large groups perceived more uneven distribution of participation than members of small groups. Voting differences were very large: large groups took significantly more votes than small groups, and electronic groups took significantly more votes than manual groups. "Conjunctive" and "disjunctive" task descriptions are used to discuss task/tool interaction.
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Liou, Yihwa Irene. "The use of a group decision support system environment for knowledge acquisition." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184717.

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Knowledge acquisition is not only the most important but also most difficult task knowledge engineers face when they begin to develop expert systems. One of the first problems they encounter is the need to identify at least one individual with appropriate expertise who is able and willing to participate in the development project. They must also be able to use a variety of techniques to elicit the knowledge that they require. These include such traditional knowledge acquisition methods as interviewing, thinking-aloud protocol analysis, on-site observation, and repertory grid analysis. As expert system applications have become more complex, knowledge engineers have found that they must work with and tap the domain knowledge of not one but several individuals. They have also discovered that the traditional methods do not work well in eliciting the knowledge residing in a group of individuals. The complexity of the systems, the difficulties inherent in working with multiple experts, and the lack of appropriate tools have combined to make the knowledge acquisition task even more arduous and time consuming. Group Decision Support Systems (GDSS) have been proven to be useful tools for improving the efficiency and effectiveness of a multiplicity of group activities. It would appear that by bringing experts together in a GDSS environment and using computer-based tools to facilitate group interaction and information exchange, a knowledge engineer could eliminate many of these problems. This research was designed to explore the possibility of using a GDSS environment to facilitate knowledge acquisition from multiple experts. The primary research question was "Does A GDSS environment facilitate the acquisition of knowledge from multiple experts?" The principle contributions of this research are (1) demonstration of the first use of a GDSS environment to elicit knowledge from multiple experts; (2) establishment of a methodology for knowledge acquisition in a GDSS environment; (3) development of process models for acquiring knowledge; (4) development of guidelines for designing and evaluating group support tools; and (5) recognition of some implications of using a computer-supported cooperative approach to extract knowledge from a group of experts. (Abstract shortened with permission of author.)
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Books on the topic "Group decision making. Decision support systems. Performance"

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Campbell, Terry L. Technology update: Group decision support systems. Lausanne: International Institute for Management Development, 1992.

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Shakun, Melvin F. Evolutionary systems design: Policy making under complexity and group decision support systems. Oakland, Calif: Holden-Day, 1988.

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Crosbie, Rory. Towards a general theory for group decision support systems. Dublin: University College Dublin, 1993.

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Group decision support systems for effective decision making: A guide for MIS practitioners and end users. New York: Quorum Books, 1989.

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Bui, Tung X. Co-oP: A group decision support system for cooperative multiple criteria group decision making. Berlin: Springer-Verlag, 1987.

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Galaczy, Patricia. Electronic meeting systems: Win-win group decision making? Kingston, Ont: IRC Press, 1999.

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Hänle, Michael. Systeme zur Unterstützung von Gruppenentscheidungen: Konzeption und Implementation eines Prototypen. Bergisch Gladbach: J. Eul, 1993.

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Kurz, Martin. Ein ganzheitlich orientierter Ansatz zur wirtschaftlichen Neugestaltung von Bürosystemen: Unterstützungsmöglichkeiten einer spezifischen Gruppenentscheidung. Heidelberg: Physica-Verlag, 1993.

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International Workshop on Groupware (6th 2000 Madeira, Madeira Islands). Sixth International Workshop on Groupware: CRIWG 2000 : October 18-20, 2000, Madeira, Portugal : proceedings. Los Alamitos, Calif: IEEE Computer Society, 2000.

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Tu fa wei ji shi jian ying ji xu guan que jue ce yu zhi chi xi tong: Sequential group decision making and group decision support systems for emergency response. Beijing: Ke xue chu ban she, 2011.

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Book chapters on the topic "Group decision making. Decision support systems. Performance"

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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.

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Iz, Peri H., and Lorraine R. Gardiner. "A Survey of Integrated Group Decision Support Systems Involving Multiple Criteria." In Multiple Criteria Decision Making, 75–85. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_9.

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Yannacopoulos, Denis, Athanasios Spyridakos, and Nikos Tsotsolas. "Robustness Analysis in Multicriteria Disaggregation – Aggregation Approaches for Group Decision Making." In Decision Support Systems III - Impact of Decision Support Systems for Global Environments, 167–80. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_15.

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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.

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Fedrizzi, Mario, and Gabriella Pasi. "Fuzzy Logic Approaches to Consensus Modelling in Group Decision Making." In Intelligent Decision and Policy Making Support Systems, 19–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78308-4_2.

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di Donato, Francesca, and Luciano Nieddu. "The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case." In Decision Support Systems V – Big Data Analytics for Decision Making, 61–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18533-0_6.

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Rodriguez, Jenny Milena Moreno, Takanni Hannaka Abreu Kang, Eduarda Asfora Frej, and Adiel Teixeira de Almeida. "A Group Decision-Making Model for Supplier Selection: The Case of a Colombian Agricultural Research Company." In Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support, 132–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90315-6_11.

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Rahmati, Nasrin. "Cross — National Decision Making in a Group Support Systems Environment." In Human-Computer Interaction INTERACT ’97, 647. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35175-9_115.

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Seo, Fumiko, and Ichiro Nishizaki. "A Configuration of Intelligent Decision Support Systems for Strategic Use: Concepts and Demonstrations for Group Decision Making." In Lecture Notes in Economics and Mathematical Systems, 35–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-22587-5_3.

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Borissova, Daniela, Dilian Korsemov, and Nina Keremedchieva. "Generalized Approach to Support Business Group Decision-Making by Using of Different Strategies." In Computer Information Systems and Industrial Management, 122–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47679-3_11.

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Conference papers on the topic "Group decision making. Decision support systems. Performance"

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Zhang, Li, Liang Gao, and Xinyu Shao. "A PSO-FUZZY Group decision-making Support System in vehicle performance evaluation." In 2009 Fourth International Conference on Bio-Inspired Computing (BIC-TA). IEEE, 2009. http://dx.doi.org/10.1109/bicta.2009.5338126.

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Jamshidi, Ali, Alfredo Núñez, Zili Li, and Rolf Dollevoet. "Fuzzy Maintenance Decision Support for Treating Squats in Railway Infrastructures." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5676.

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A fuzzy based maintenance decision making methodology for railway infrastructures to solve the problem of a specific rolling contact fatigue defect called squat is presented. Relying on Axle Box Acceleration (ABA) measurements to detect squats, a robust model is used to predict the evolution of detected squats under three different growth scenarios (fast, average, slow). Once a track is candidate for preventive maintenance, to facilitate grinding operations, we propose a fuzzy clustering methodology to group light squats that are good candidates to be treated together because of their proximity. Using a new α% method based on clustering, Pareto fronts are analyzed to show the trade-offs between the number of non-treated squats and coverage percent related to α%. Based on the prediction model, four key performance indicators at the technical level are combined using a fuzzy expert system which estimates the global health condition of each cluster of squats. Estimated cost effectiveness of different maintenance actions are compared. Therefore, infrastructure managers will be able to estimate track condition per cluster, and then easily rank the clusters of light squats according to their importance. Also, the predictive indicators enable infrastructure managers to decide which parts of tracks need to be replaced when severe squats are detected in the track. To illustrate the proposed method, the track Groningen-Assen of the Dutch railway network is used.
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Lee, Young Wook, Suk Hoon Kim, Young Ho Cho, Hyun Seok Ko, Dong Hoon Shin, Joo Hyun Moon, and Chang Sun Kang. "Consensus Based Nuclear Public-Hearing System Model." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89722.

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Although the government admit the benefit of construction of a nuclear facility for national electric source, related policy could be developed and carried out only if the public, especially who have some stake on it, recognize the benefit and accept the policy. For public participation, Korea has a system of public-hearing in accordance with the law. Because of the absence of the detailed way for public opinion aggregation and for the reflection of the aggregated opinion, Korean public-hearing system is only a conceptual model. Therefore, some specific system for Korean Public-Hearing should be developed and applied. In this study, to share the right of decision making, which is an ultimate concept for public participation, decision making components and the characteristics of each phase are analyzed. The criteria weight for assessment and comparison with alternatives are founded as a valuation factor of the decision making components, which should be based on the social consensus. On these foundations, a system for aggregation and reflection of the public opinion was proposed. The system named “CPDM” (Consensus based Participatory Decision Making) has three authority groups for decision making. At first, “advisory experts group” play a role for the technical assessment and the serve utility value on the criteria for each alternatives. Next, “participatory deliberation group” play a role for consensus building on the relative-importance (weight) between the criteria by feedback to promote degree of consensus. Lastly including gentlemen of the long robe, “expert group for decision making” paly a role to reflect the utility and weight and make a decision with agreement for performance of it. Also, in this study, a mathematical model for the quantification of the degree of consensus was conceptualized using Ordered Weighted Averaging (OWA) aggregation operator and fuzzy similarity theory, which is a comparison concept. Since this model enables influence of each criteria and each participant on collective consensus to be analyzed, a direction to promote consensus building can be derived. That is to say, this model can support consensus building and promote public acceptance for the nuclear industry and related policy.
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Romeo, Luca, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, and Emanuele Frontoni. "A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/593.

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The prediction of the risk profile related to the cardiopathy complication is a core research task that could support clinical decision making. However, the design and implementation of a clinical decision support system based on Electronic Health Record (EHR) temporal data comprise of several challenges. Several single task learning approaches consider the prediction of the risk profile related to a specific diabetes complication (i.e., cardiopathy) independent from other complications. Accordingly, the state-of-the-art multi-task learning (MTL) model encapsulates only the temporal relatedness among the EHR data. However, this assumption might be restricted in the clinical scenario where both spatio-temporal constraints should be taken into account. The aim of this study is the proposal of two different MTL procedures, called spatio-temporal lasso (STL-MTL) and spatio-temporal group lasso (STGL-MTL), which encode the spatio-temporal relatedness using a regularization term and a graph-based approach (i.e., encoding the task relatedness using the structure matrix). Experimental results on a real-world EHR dataset demonstrate the robust performance and the interpretability of the proposed approach.
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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.

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Singh, A., and R. Vipat. "Promoting business decision making in networking through group decision support systems." In the International Conference & Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1980022.1980178.

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Earnhardt, Christian, Ben Groelke, John Borek, and Chris Vermillion. "Fused Model Predictive Control Techniques for Strategic Platooning Amongst Heterogeneous Pairs of Heavy-Duty Trucks." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9071.

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Abstract With pairs or groups of heterogeneous vehicles (with different masses, aerodynamic coefficients, etc.), collaborative platooning can be advantageous in some scenarios due to aerodynamic drag reduction, while being detrimental in other scenarios due to mismatches in vehicle properties. This paper introduces two controllers capable of alternating between independent vehicle velocity trajectory optimization (VTO) and a collaborative platooning/VTO approach based on the aggregate fuel savings of all vehicles within the platoon. The first uses the difference in mass between the vehicles within a platoon and the upcoming road grade to decide whether platooning will be economically advantageous, relying on a support vector classification algorithm to make the switching decision. The second runs both independent VTO and collaborative VTO/platooning in parallel, making a decision based on which method predicts the least amount of fuel consumption over an upcoming stretch of highway. The performance of these techniques was evaluated using a medium-fidelity Simulink model of a heavy-duty truck. Results show a 5.1% to 14.1% decrease in fuel consumption for the following vehicle of a platoon as compared to a baseline controller not platooning, where the exact fuel consumption improvement depends on the desired following distance. These results were also compared to a baseline that platooned over the entire route, providing evidence that there are situations where disengaging from a platoon is beneficial in the presence of heterogeneity.
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Li, Jiawei, Graham Kendall, Simon Pollard, Emma Soane, Gareth Davies, and Ruibin Bai. "A decision support approach for group decision making under risk and uncertainty." In 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM). IEEE, 2010. http://dx.doi.org/10.1109/iclsim.2010.5461315.

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Nachet, Bakhta, and Adla Abdelkader. "Ontology-based facilitation support tool for group decision making." In 2015 12th International Symposium on Programming and Systems (ISPS). IEEE, 2015. http://dx.doi.org/10.1109/isps.2015.7244979.

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Kusumadewi, Sri, and Sri Hartati. "Sensitivity analysis of multi-attribute decision making methods in Clinical Group Decision Support System." In 2007 International Conference on Intelligent and Advanced Systems (ICIAS). IEEE, 2007. http://dx.doi.org/10.1109/icias.2007.4658395.

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Reports on the topic "Group decision making. Decision support systems. Performance"

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Operationalized indicators: Integrating community health worker and client views to assess community health systems. Population Council, 2021. http://dx.doi.org/10.31899/rh17.1017.

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This guide is intended for policy makers, program managers, and implementers to use in meaningfully integrating community health worker (CHW) and community perspectives when assessing community health system performance and tracking improvements over time. It complements the portfolio of existing global measurement tools that inform country community health monitoring and evaluation frameworks and support localized decision-making. The guide recommends considering application and integration of a brief and full sets of indicators. The brief set includes 20 indicators (13 at CHW level and 7 at community member/client level) while the longer set includes 30 indicators (19 at CHW level, 11 at community member/client level). The guide recommends mapping out potential modes and timing of data collection (existing and new) for integration, advocating for additions to the national monitoring and evaluation strategies, minimizing biases in data collection through a “neutral third party,” gathering qualitative data in complement, and sharing implementation experiences.
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