Making Multi-team Systems More Adaptable by Enhancing Transactive Memory System Structures – The Case of CDM in APOC
| Autor: | Carmen Bruder, Dirk Schulze Kissing, Nils Carstengerdes, Anne Papenfuss |
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| Rok vydání: | 2019 |
| Předmět: |
Process management
Computer science media_common.quotation_subject 05 social sciences Human factors Systems engineering APOC Collaborative Decision Making Multi Team System Transactive Memory System Nonlinear Dynamic System 050105 experimental psychology Group decision-making Nonlinear dynamical systems Behavioral data Transactive memory Attractor 0501 psychology and cognitive sciences Function (engineering) 050107 human factors Social structure media_common |
| Zdroj: | Human Systems Engineering and Design ISBN: 9783030020521 IHSED |
| DOI: | 10.1007/978-3-030-02053-8_33 |
| Popis: | The DLR project ‘Inter Team Collaboration’ (ITC) aims to provide systems engineers with tools and human factors concepts that allow a systemic access to the social side of socio-technical systems. A main design question for implementing Collaborative Decision Making (CDM) in APOC is how to induce collaborative decision making in a dynamic environment of ATM to make it more adaptive and resilient. Our main assumption is that the establishment of a Transactive-Memory System (TMS) is the basic predisposition for a successful implementation of intensive CDM. A TMS reflects linkages across MTS boundaries. Assumedly, its emergence is a function of social structures (like motives), but also of communication structures. The MTS is conceptualized as a nonlinear dynamical system (NDS), where CDM is conceived as an attractor to system-behavior. Recurrence analyses on behavioral data assessed within Human-in-the-Loop-experiments will be applied to identify MTS transition phases in reaction to perturbations. |
| Databáze: | OpenAIRE |
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