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Making Multi-team Systems More Adaptable by Enhancing Transactive Memory System Structures – The Case of CDM in APOC

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 876)

Abstract

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.

Keywords

  • Human factors
  • Systems engineering
  • APOC
  • Collaborative Decision Making
  • Multi Team System
  • Transactive Memory System
  • Nonlinear Dynamic System

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Notes

  1. 1.

    The topic of trust between teams in (internal) MTS is raised by [16]. They contextualize teams by pointing out that within an organization teams are dependent on information, products, or services from other teams, ‘which must be trusted to take their intentions into consideration and constructively resolve potential conflicts of interest’ [16] p. 276.

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Schulze Kissing, D., Bruder, C., Carstengerdes, N., Papenfuss, A. (2019). Making Multi-team Systems More Adaptable by Enhancing Transactive Memory System Structures – The Case of CDM in APOC. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_33

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