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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 21 to 25 of 25 (0.096 seconds)| 21 |
Efektivita intervence sociomapování u vybraných charakteristik pracovních týmů / The effectivity of sociomapping intervention for selected charateristics of work teamsTetour, Vlastimil January 2019 (has links)
Diploma thesis strives to identify the effectiveness of sociomapping in relation to selected charakteristics of work groups and teams. Literature review section defines the theoretical background of group and teamwork, which is being followed by the topics of team states and processes, team communication, mental models, team climate and teamwork effectivity. The final part focuses on team interventions, ways of evaluating their effectiveness and introduces specific aspects of sociomapping. The empirical part uses quantitative research approach, which analyzes the relationship between the method of sociomapping and its effect on the frequency of team communication, shared mental models in the form of the difference between the optimal and current frequency of communication and team climate. The sociomapping intervention is expected to have an effect on team performance in the form of higher hotel rating and team performance assessment. Both values were measured before and after the intervention. It is expected, that the frequency of team communication, the difference between optimal and current frequency of communication and team climate will behave as mediators. The results showed that sociomapping intervention is positively related to hotel rating (p = 0.014), but not to team performance...
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Toward a Theory of Practical Drift in TeamsBisbey, Tiffany 01 May 2014 (has links)
Practical drift is defined as the unintentional adaptation of routine behaviors from written procedure. The occurrence of practical drift can result in catastrophic disaster in high-reliability organizations (e.g. the military, emergency medicine, space exploration). Given the lack of empirical research on practical drift, this research sought to develop a better understanding by investigating ways to assess and stop the process in high-reliability organizations. An introductory literature review was conducted to investigate the variables that play a role in the occurrence of practical drift in teams. Research was guided by the input-throughput-output model of team adaptation posed by Burke, Stagl, Salas, Pierce, and Kendall (2006). It demonstrates relationships supported by the results of the literature review and the Burke and colleagues (2006) model denoting potential indicators of practical drift in teams. Research centralized on the core processes and emergent states of the adaptive cycle; namely, shared mental models, team situation awareness, and coordination. The resulting model shows the relationship of procedure—practice coupling demands misfit and maladaptive violations of procedure being mediated by shared mental models, team situation awareness, and coordination. Shared mental models also lead to team situation awareness, and both depict a mutual, positive relationship with coordination. The cycle restarts when an error caused by maladaptive violations of procedure creates a greater misfit between procedural demands and practical demands. This movement toward a theory of practical drift in teams provides a conceptual framework and testable propositions for future research to build from, giving practical avenues to predict and prevent accidents resulting from drift in high-reliability organizations. Suggestions for future research are also discussed, including possible directions to explore. By examining the relationships reflected in the new model, steps can be taken to counteract organizational failures in the process of practical drift in teams.
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Alliance mental models and strategic alliance team effectivenessZoogah, Baniyelme David 21 September 2006 (has links)
No description available.
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Netzwerklernen im Katastrophenschutz: Wie Behörden und Organisationen mit Sicherheitsaufgaben gemeinsam aus Katastrophenschutzübungen lernenKroll, Mareike 16 June 2022 (has links)
Außergewöhnliche Schadensereignisse und Katastrophen zeichnen sich durch eine zunehmende Häufigkeit und Komplexität aus. Dabei können Extremereignisse nur durch eine koordinierte Zusammenarbeit von verschiedenen im Katastrophenschutz mitwirkenden Einsatzorganisationen und Behörden erfolgreich bewältigt werden. Zur Stärkung der Resilienz im Katastrophenschutz bedarf es folglich regelmäßiger interdisziplinärer Simulationstrainings. In der vorliegenden Arbeit befasst sich die Autorin mit dem Netzwerklernen von Behörden und Organisationen mit Sicherheitsaufgaben (BOS) im Rahmen von simulationsgestützten Einsatztrainings. Aus systemtheoretischer Sicht werden die übergreifenden Fragestellungen untersucht, welchen Beitrag Katastrophenschutzübungen zum Netzwerklernen von BOS leisten und wie dieses Netzwerklernen beschrieben werden kann.
Zur Beantwortung der Forschungsfragen wurde eine Katastrophenschutzübung wissenschaftlich begleitet. Unter Verwendung von komplementären Methoden und Verfahren der empirischen Sozialforschung konnte eine schwache Verdichtung des kollektiven Wissenssystems nachgewiesen werden. Ebenso konnten die Phasen und Einflussfaktoren von Netzwerklernen detailliert rekonstruiert bzw. beschrieben werden. Die Erkenntnisse liefern Anknüpfungspunkte für die Erhöhung des Lern-Werts von Katastrophenschutzübungen sowie für weitere Forschungsarbeiten.:1 Einleitung
2 Theoretische Grundlagen der Katastrophenforschung
3 Theoretisches Vorverständnis für die Herleitung des Bezugsrahmens
4 Forschungsmodell und Arbeitshypothesen
5 Empirische Untersuchung
6 Zusammenfassung und Ausblick / Unexpected extreme events are characterized by increasing frequency and complexity. In this context, extreme events can only be successfully managed through coordinated cooperation between various emergency response organizations and agencies involved in disaster management. Consequently, regular interdisciplinary simulation-based response training is needed to strengthen resilience in disaster management. In this paper, the author deals with the network learning of agencies and organizations with security tasks from emergency response exercises. From a systems theory perspective, the overarching questions of what contribution disaster response exercises make to network learning of the actors participating in the network and how this network learning can be described are investigated.
To answer the research questions, a simulation-based disaster response exercise was scientifically accompanied. Using complementary methods and procedures of empirical social research, a weak condensation of the collective knowledge system could be demonstrated. Likewise, the phases and influencing factors of network learning could be reconstructed or described in detail. The findings provide starting points for increasing the learning value of disaster management exercises as well as for further research.:1 Einleitung
2 Theoretische Grundlagen der Katastrophenforschung
3 Theoretisches Vorverständnis für die Herleitung des Bezugsrahmens
4 Forschungsmodell und Arbeitshypothesen
5 Empirische Untersuchung
6 Zusammenfassung und Ausblick
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Enhanching the Human-Team Awareness of a RobotWåhlin, Peter January 2012 (has links)
The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human teams. This capability could, for instance, be used in the robot's reasoning and planning components to create better plans that ultimately would result in improved human-robot teamwork performance. we propose to improve existing teamwork activity recognizers by adding intangible features, such as stress, motivation and focus, originating from human behavior models. Hidden markov models have earlier been proven very efficient for activity recognition and have therefore been utilized in this work as a method for classification of behaviors. In order for a robot to provide effective assistance to a human team it must not only consider spatio-temporal parameters for team members but also the psychological.To assess psychological parameters this master thesis suggests to use the body signals of team members. Body signals such as heart rate and skin conductance. Combined with the body signals we investigate the possibility of using System Dynamics models to interpret the current psychological states of the human team members, thus enhancing the human-awareness of a robot. / Användningen av autonoma robotar i vårt samhälle ökar varje dag och en robot ses inte längre som ett verktyg utan som en gruppmedlem. Robotarna arbetar nu sida vid sida med oss och ger oss stöd under farliga arbeten där människor annars är utsatta för risker. Denna utveckling har i sin tur ökat behovet av robotar med mer människo-medvetenhet. Därför är målet med detta examensarbete att bidra till en stärkt människo-medvetenhet hos robotar. Specifikt undersöker vi möjligheterna att utrusta autonoma robotar med förmågan att bedöma och upptäcka olika beteenden hos mänskliga lag. Denna förmåga skulle till exempel kunna användas i robotens resonemang och planering för att ta beslut och i sin tur förbättra samarbetet mellan människa och robot. Vi föreslår att förbättra befintliga aktivitetsidentifierare genom att tillföra förmågan att tolka immateriella beteenden hos människan, såsom stress, motivation och fokus. Att kunna urskilja lagaktiviteter inom ett mänskligt lag är grundläggande för en robot som ska vara till stöd för laget. Dolda markovmodeller har tidigare visat sig vara mycket effektiva för just aktivitetsidentifiering och har därför använts i detta arbete. För att en robot ska kunna ha möjlighet att ge ett effektivt stöd till ett mänskligtlag måste den inte bara ta hänsyn till rumsliga parametrar hos lagmedlemmarna utan även de psykologiska. För att tyda psykologiska parametrar hos människor förespråkar denna masteravhandling utnyttjandet av mänskliga kroppssignaler. Signaler så som hjärtfrekvens och hudkonduktans. Kombinerat med kroppenssignalerar påvisar vi möjligheten att använda systemdynamiksmodeller för att tolka immateriella beteenden, vilket i sin tur kan stärka människo-medvetenheten hos en robot. / <p>The thesis work was conducted in Stockholm, Kista at the department of Informatics and Aero System at Swedish Defence Research Agency.</p>
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