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Advertising Policy and Returns to Scale in Markets Where Information is Passed between Individuals

Dados Bibliográficos

ID9725581
AutoresStephen Glaister (autor correspondente)
Ano1974
Volume41
Fascículo162
Páginas139
Data de publicação1974-05-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoEconomica (JOURNAL)
Identificadores do periódicoISSN: 0013-0427 • E-ISSN: 1468-0335
EditoraJSTOR (PUBLISHER)
DOI10.2307/2553763
OpenAlexW2084869370
IdiomaEN
Citações recebidas2
Referências citadas2

The purpose of this paper is to develop a model concerning an aspect of the theory of advertising which has received relatively little formal analysis in the literature. The model postulates an approach that an advertiser who wishes to introduce certain products or services might take in order to determine an optimal strategy. It also suggests a mechanism which may help in understanding why it is that apparently similar organizations which continually introduce apparently indistinguishable variants of a product (cigarettes for example) find that a few are huge successes whilst the majority fail and why repeated

Advertising · Business · Economics · Mechanism (biology) · Microeconomics · Order (exchange) · Product (mathematics) · Production (economics) · Returns to scale · Scale (ratio) · Business Strategy and Innovation · Computer Science · Consumer Market Behavior and Pricing · Marketing · Mathematics · Merger and Competition Analysis

  • The Role of Supply Factors in the Diffusion of New Process Technology

    Paul Stoneman, Norman J Ireland•The Economic Journal•1983

  • Technology Diffusion and Public Policy

    Paul Stoneman, Paul Diederen•The Economic Journal•1994

  • Advertising and Competition

    Lester G Telser•Journal of Political Economy•1964

  • The Theory of Selling Costs

    Frank Hahn, F H Hahn•The Economic Journal•1959

Obras citantes distintas2
Citações por ano0,05
Intervalo de citações1983 - 1994 (12)
Velocidade de citaçãohistorical
Altamente citadoNão
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae