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The Influence of Communication Processes on Group Outcomes

Antithesis and Thesis

Datos Bibliográficos

ID2270089
AutoresDean E Hewes (University of Minnesota, autor de correspondencia)
Año2009
Volumen35
Número2
Páginas249-271
Fecha de publicación2009-04-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaHuman Communication Research (JOURNAL)
Identificadores de la revistaISSN: 0360-3989 • E-ISSN: 1468-2958
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-2958.2009.01347.x
OpenAlexW2076211912
IdiomaEN
Citas recibidas7
Referencias citadas37

The influence of communication processes on group outcomes is discussed from two perspectives, one in which influence does not exist and one in which influence is central. Formal models for both perspectives are presented as a means of bracketing discussion of the role of communication processes in group outcomes. The implications of these models for future theorizing are discussed. The first of these two models is an extension of Hewes's socioegocentric model (1986, 1996). The second class of formal model, dual-level connectionist models, integrates mental and communication processes to explain moment-by-moment communication behavior. This class of models is contrasted with important models of group influence that use atemporal aggregations of messages to predict group outcomes. Implications of dual-level connections models for the role of "emergence" in group theorizing, the limitations of Markovian models of group communication research, and the decomposability of psychological and communication processes are elaborated

Antithesis · Bracketing (phenomenology · Class (philosophy · Cognition · Cognitive psychology · Cognitive science · Communication in small groups · Connectionism · Dual (grammatical number · Epistemology · Group (periodic table · Linguistics · Models of communication · Communication · Complex Systems and Decision Making · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Psychology · Team Dynamics and Performance · Artificial Intelligence

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Obras citantes distintas7
Citas por año0,41
Intervalo de citas2009 - 2021 (13)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 7
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