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Elaboration Likelihood Analysis×Media Richness Analysis×
FagområdeCommunicationCommunication
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19861986
OphavspersonRichard Petty & John CacioppoRichard L. Daft & Robert H. Lengel
TypeDual-process experimental analysis of attitude changeFramework and method for assessing channel richness vs. task equivocality
Oprindelig kildePetty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1–24). New York: Springer. DOI ↗Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571. DOI ↗
AliasserELM analysis, Dual-process persuasion experiment, Central and peripheral route analysis, Ayrıntılandırma Olasılığı Modeli AnaliziMedia richness theory analysis, Information richness analysis, Channel richness assessment, Ortam Zenginliği Analizi
Relaterede43
ResuméElaboration likelihood analysis applies Petty and Cacioppo's 1986 Elaboration Likelihood Model (ELM) to study persuasion through experiments that cross message argument quality with peripheral cues under varying levels of audience motivation and ability to think. It identifies whether attitude change travels the central route — effortful scrutiny of arguments — or the peripheral route, reliance on simple cues like source attractiveness or message length.Media richness analysis applies Daft and Lengel's media richness theory to evaluate communication channels by their capacity to carry rich information and to assess how well a channel fits the equivocality of the task at hand. Rooted in organizational communication, it provides criteria — feedback immediacy, multiplicity of cues, language variety, and personal focus — for ranking channels from lean (a memo) to rich (face-to-face) and for diagnosing whether managers and teams are matching channel to message appropriately.
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ScholarGateSammenlign metoder: Elaboration Likelihood Analysis · Media Richness Analysis. Hentet 2026-06-24 fra https://scholargate.app/da/compare