111 resultados para Models of collective decision making


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Background: 

Knowledge translation strategies are an approach to increase the use of evidence within policy and practice decision-making contexts. In clinical and health service contexts, knowledge translation strategies have focused on individual behavior change, however the multi-system context of public health requires a multi-level, multi-strategy approach. This paper describes the design of and implementation plan for a knowledge translation intervention for public health decision making in local government.

Methods:
Four preliminary research studies contributed findings to the design of the intervention: a systematic review of knowledge translation intervention effectiveness research, a scoping study of knowledge translation perspectives and relevant theory literature, a survey of the local government public health workforce, and a study of the use of evidence-informed decision-making for public health in local government. A logic model was then developed to represent the putative pathways between intervention inputs, processes, and outcomes operating between individual-, organizational-, and system-level strategies. This formed the basis of the intervention plan.

Results:
The systematic and scoping reviews identified that effective and promising strategies to increase access to research evidence require an integrated intervention of skill development, access to a knowledge broker, resources and tools for evidence-informed decision making, and networking for information sharing. Interviews and survey analysis suggested that the intervention needs to operate at individual and organizational levels, comprising workforce development, access to evidence, and regular contact with a knowledge broker to increase access to intervention evidence; develop skills in appraisal and integration of evidence; strengthen networks; and explore organizational factors to build organizational cultures receptive to embedding evidence in practice. The logic model incorporated these inputs and strategies with a set of outcomes to measure the intervention's effectiveness based on the theoretical frameworks, evaluation studies, and decision-maker experiences.

Conclusion:
Documenting the design of and implementation plan for this knowledge translation intervention provides a transparent, theoretical, and practical approach to a complex intervention. It provides significant insights into how practitioners might engage with evidence in public health decision making. While this intervention model was designed for the local government context, it is likely to be applicable and generalizable across sectors and settings.

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The wide variety of disasters and the large number of activities involved have resulted in the demand for separate Decision Support System (DSS) models to manage different requirements. The modular approach to model management is to provide a framework in which to focus multidisciplinary research and model integration. A broader view of our approach is to provide the flexibility to organize and adapt a tailored DSS model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focussed on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Generally, decision support needs are combined, and encapsulate different requirements of decision-making in the disaster management area. Categorization of decision support needs can provide the basis for such model selection to facilitate effective and efficient decision-making in disaster management. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management on the basis of needs categorization. The problem of the formulation and execution of such modular subroutines are not addressed here. Since the focus is on the selection of the modular subroutines from the existing DMDSS models on basis of a proposed needs classification scheme.

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Research question: 

Corporate social responsibility (CSR) is increasingly important to business, including professional team sport organisations. Scholars focusing on CSR in sport have generally examined content-related issues such as implementation, motives or outcomes. The purpose of this paper is to add to that body of knowledge by focusing on process-related issues. Specifically, we explore the decision-making process used in relation to CSR-related programmes in the charitable foundations of the English football clubs.

Research methods:
Employing a grounded theory method and drawing on the analysis and synthesis of 32 interviews and 25 organisational documents, this research explored managerial decision-making with regard to CSR in English football.

Results and findings:
The findings reveal that decision-making consists of four simultaneous micro-social processes (‘harmonising’, ‘safeguarding’, ‘manoeuvring’ and ‘transcending’) that form the platform upon which the managers in the charitable foundations of the English football clubs make decisions. These four micro-social processes together represent assessable transcendence; a process that is fortified by passion, contingent on trust, sustained by communication and substantiated by factual performance enables CSR formulation and implementation in this organisational context.

Implications:
The significance of this study for the sport management literature is threefold: (1) it focuses on the individual level of analysis, (2) it shifts the focus of the scholarly activity away from CSR content-based research towards more processoriented approaches and (3) it adds to the limited number of studies that have utilised grounded theory in a rounded manner.

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This study investigates the application of consumer behaviour theory to young Australian adults’ voting decision-making. Previous decision-making studies identified constructs of subjective knowledge, involvement, information seeking, satisfaction, confidence, and stability as key factors in voting decision-making. This research tests the relationship that these factors have with the consumer behaviour concept of usage. A new concept, commitment to vote, is also considered for Australia’s compulsory voting context. Data were gathered from a sample of 257 Australian citizens between the ages of 18 and 25. Exploratory factor analysis produced nine factors, and MANOVA and ANOVA were used to test the differences between three usage groups: voluntary users, involuntary users, and never trieds. The results illustrate that usage has a significant influence on information seeking, commitment to voting, satisfaction with voting choice, and stability in voting decision-making. Therefore, usage is a key element in voter decision-making and needs to be included in future studies.

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This research examined the relationship between organizational design and leadership in decision-making teams. It used a grounded theory-based qualitative research design. The validity of the research was enhanced by data triangulation, wherein quantitative psychometric data augmented the qualitative data that are traditionally used. The research was based upon two organizations within the substantive setting of the knowledge industry. The higher order category of consensual commitment explained effective decision-making. At the meso-level of leadership modeling, organizational design influenced both leadership style and decision-making. Specifically, an organizational design that generated lateral job roles and a relational leadership orientation was found to enhance consensual commitment, and provided a level of assurance against dysfunctional team dynamics. © 2009 Elsevier Inc. All rights reserved.

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We investigate the relationship between consensus measures used in different settings depending on how voters or experts express their preferences. We propose some new models for single-preference voting, which we derive from the evenness concept in ecology, and show that some of these can be placed within the framework of existing consensus measures using the discrete distance. Finally, we suggest some generalizations of the single-preference consensus measures allowing the incorporation of more general notions of distance.

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A recent study in Science indicated that the confidence of a decision maker played an essential role in group decision making problems. In order to make use of the information of each individual's confidence of the current decision problem, a new hybrid weighted aggregation method to solve a group decision making peoblem is proposed in this paper. Specifically, the hybrid weight of each expert is generated by a convex combination of his/her subjective experience-based weight and objective problem-domain-based weight. The experience-based weight is derived from the expert's historical experiences and the problem-domain-based weight is characterized by the confidence degree and consensus degree of each expert's opinions in the current decision making process. Based on the hybrid weighted aggregation method, all the experts' opinions which are expressed in the form of fuzzy preference relations are consequently aggregated to obtain a collective group opinion. Some valuable properities of the proposed method are discussed. A nurse manager hiring problem in a hospital is employed to illustrate that the proposed method provides a rational and valid solution for the group decision making problem when the experts are not willing to change their initial preferences, or the cost of change is high due to time limitation.

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To develop a valid and reliable video-based decision-making test to examine and monitor the decision-making performance of Australian football umpires.

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Background:
The factors influencing the decision making of operative treatment for fractures of the proximal humerus are debated. We hypothesized that there is no difference in treatment recommendations between surgeons shown radiographs alone and those shown radiographs and patient information. Secondarily, we addressed (1) factors associated with a recommendation for operative treatment, (2) factors associated with recommendation for arthroplasty, (3) concordance with the recommendations of the treating surgeons, and (4) factors affecting the inter-rater reliability of treatment recommendations.
Methods: A total of 238 surgeons of the Science of Variation Group rated 40 radiographs of patients with proximal humerus fractures. Participants were randomized to receive information about the patient and mechanism of injury. The response variables included the choice of treatment (operative vs nonoperative) and the percentage of matches with the actual treatment.
Results: Participants who received patient information recommended operative treatment less than those who received no information. The patient information that had the greatest influence on treatment recommendations included age (55%) and fracture me chanism (32%). The only other factor associated with a recommendation for operative treatment was region of practice. There was no significant difference between participants who were and were not provided with information regarding agreement with the actual treatment (operative vs nonoperative) provided by the treating surgeon.
Conclusion: Patient information - older age in particular - is associated with a higher likelihood of recommending nonoperative treatment than radiographs alone. Clinical information did not improve agreement of the Science of Variation Group with the actual treatment or the generally poor interobserver agreement on treatment recommendations

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By restricting physical activity levels, the bed rest simulation of weightlessness could be associated with changes in prefrontal cortex functioning that manifest as cognitive decrements, particularly for executive cognitive functions. We aimed to determine if performance on an executive function task was indeed affected by bed rest. The Iowa Gambling Task, a card game measuring real-life decision making processes, was administered to 25 healthy males (aged 21-45 years) selected to undergo 60 days of 6 degrees head-down tilt bed rest for the 2nd Berlin BedRest Study (BBR2-2). Testing was conducted either 6 days before beginning bed rest (n=13) or on the 51st day of bed rest (n=12). The task performance scores of subjects tested before bed rest were not significantly different from those tested during bed rest. However, subjects tested during bed rest failed to adapt their card selection strategy as the Iowa Gambling Task progressed. This was unlike the subjects tested before bed rest, who switched between decks on consecutive card selections less frequently in latter stages of the task. An influence of prolonged bed rest on decision making could have implications for the planning of human spaceflights to Mars, or for any circumstance in which adequate physical activity levels are not achieved.