TY - JOUR
T1 - A distributed framework for the study of organizational cognition in meetings
AU - Jensen, Astrid
AU - Secchi, Davide
AU - Jensen, Thomas Wiben
PY - 2022/5
Y1 - 2022/5
N2 - This paper proposes an analytical framework for the analysis of organizational cognition that borrows from distributed and ecological cognition. In so doing, we take a case study featuring a decision on the topic of agreeing on a set point in the agenda of a meeting. It is through the analysis of a few minutes of video-recording used in the case that enables us to demonstrate the power of applying distributed and ecological cognition to organizing processes. Cognitive mechanism, resources, and processes are identified within this combined framework. Mechanisms are described as “socio-material” (CM1)—where “people” and “artifacts” are the related cognitive resources—and as “conceptual” (CM2)—with “group” identity, “topic” understanding, meaning of “procedures,” and perception of “time” as resources. Processes are defined as “coupling,” “de-coupling,” and “un-coupled” depending on the type of relation in place. Finally, the paper presents an agent-based computational simulation to demonstrate the potentials of operationalizing this approach.
AB - This paper proposes an analytical framework for the analysis of organizational cognition that borrows from distributed and ecological cognition. In so doing, we take a case study featuring a decision on the topic of agreeing on a set point in the agenda of a meeting. It is through the analysis of a few minutes of video-recording used in the case that enables us to demonstrate the power of applying distributed and ecological cognition to organizing processes. Cognitive mechanism, resources, and processes are identified within this combined framework. Mechanisms are described as “socio-material” (CM1)—where “people” and “artifacts” are the related cognitive resources—and as “conceptual” (CM2)—with “group” identity, “topic” understanding, meaning of “procedures,” and perception of “time” as resources. Processes are defined as “coupling,” “de-coupling,” and “un-coupled” depending on the type of relation in place. Finally, the paper presents an agent-based computational simulation to demonstrate the potentials of operationalizing this approach.
KW - agent-based modeling
KW - complex adaptive systems
KW - distributed cognition
KW - ecological cognition
KW - multimodal interaction analysis (MMIA)
KW - organizational cognition
U2 - 10.3389/fpsyg.2022.769007
DO - 10.3389/fpsyg.2022.769007
M3 - Journal article
C2 - 35664193
AN - SCOPUS:85131595349
VL - 13
JO - Frontiers in Psychology
JF - Frontiers in Psychology
SN - 1664-1078
M1 - 769007
ER -