EMPIRICAL REGULARITIES IN THE DIFFUSION OF INNOVATION.
Research on the diffusion of innovation has postulated three empirical regularities-the S-curve for diffusion in a temporal context, the neighborhood effect for diffusion in a spatial context, arid the hierarchy or short circuit effect for diffusion in the context of a central place system. This pap...
| Publicado en: | Annals of the Association of American Geographers Vol. 61; no. 3; pp. 551 - 560 |
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| Autores principales: | , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Sep71
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=12953040&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 12953040 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00045608 AAG jtl: Annals of the Association of American Geographers issn: 00045608 maglogo: Y pubinfo: dt: Sep71 vid: 61 iid: 3 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 12953040 10.1111/j.1467-8306.1971.tb00806.x ppf: 551 ppct: 9 formats: tig: atl: EMPIRICAL REGULARITIES IN THE DIFFUSION OF INNOVATION. aug: au: Brown, Lawrence A. Cox, Kevin R. affil: Professor of Geography, Ohio State University, Columbus. su: Diffusion of innovations Diffusion processes Markov processes Telecommunication systems Technological innovations Communication sug: subj: Diffusion of innovations Diffusion processes Markov processes Telecommunication systems Technological innovations Communication keyword: Behavioral geography Central place effects on diffusion Diffusion of innovation Neighborhood effect S-curve. ab: Research on the diffusion of innovation has postulated three empirical regularities-the S-curve for diffusion in a temporal context, the neighborhood effect for diffusion in a spatial context, arid the hierarchy or short circuit effect for diffusion in the context of a central place system. This paper reviews the evidence for each regularity, considers the consistency of each, and presents an explanation for these regularities taken together that appears more useful for future research than previously posited explanations. Our paradigm focuses upon 1) the distinction between innovation diffusion agencies and adopters themselves, 2) the relationship between the marketing surface viewed by diffusion agencies and the resistance surface offered by potential adopters, and 3) the sequence of communication systems associated with different stages of the diffusion process. By focusing upon behavioral aspects of diffusion rather than upon rigidly defined structural aspects, the consistency of each regularity with others, and deviations from a given regularity for a particular situation, may be reconciled with theory. The empirical regularities are but one possible outcome of behavioral events associated with diffusion of innovation, and in future diffusion research more attention should be given to behavioral events and their characteristics. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1971 holdings: @attributes: islocal: N |
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