omitir hasta el contenido
Dynamic commercialization strategies for disruptive technologies : evidence from the Speech Recognition Industry Ver este material de antemano
CerrarVer este material de antemano
Chequeando…

Dynamic commercialization strategies for disruptive technologies : evidence from the Speech Recognition Industry

Autor: Matt Marx; Joshua Gans; David H Hsu; National Bureau of Economic Research.
Editorial: Cambridge, Mass. : National Bureau of Economic Research, 2013.
Serie: Working paper series (National Bureau of Economic Research), no. 19764.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
When startup innovation involves a potentially disruptive technology -- initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement -- incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the  Leer más
Calificación:

(todavía no calificado) 0 con reseñas - Ser el primero.

Temas
Más materiales como éste

 

Encontrar un ejemplar en línea

Encontrar un ejemplar en la biblioteca

&AllPage.SpinnerRetrieving; Encontrando bibliotecas que tienen este material…

Detalles

Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Matt Marx; Joshua Gans; David H Hsu; National Bureau of Economic Research.
Número OCLC: 868158921
Notas: Title from http://www.nber.org/papers/19764 viewed January 15, 2014.
"December 2013."
Descripción: 1 online resource (36 p.) : ill.
Título de la serie: Working paper series (National Bureau of Economic Research), no. 19764.
Responsabilidad: Matt Marx, Joshua S. Gans, David H. Hsu.

Resumen:

When startup innovation involves a potentially disruptive technology -- initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement -- incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms the main prediction of the model.

Reseñas

Reseñas contribuidas por usuarios
Recuperando reseñas de GoodReads…
Recuperando reseñas de DOGObooks…

Etiquetas

Ser el primero.
Confirmar este pedido

Ya ha pedido este material. Escoja OK si desea procesar el pedido de todos modos.

Datos enlazados


<http://www.worldcat.org/oclc/868158921>
library:oclcnum"868158921"
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:MediaObject
rdf:typeschema:Book
rdf:valueUnknown value: dct
schema:about
schema:about
<http://id.worldcat.org/fast/1145009>
rdf:typeschema:Intangible
schema:name"Technological innovations--Econometric models"
schema:about
schema:about
schema:about
schema:bookFormatschema:EBook
schema:contributor
schema:contributor
schema:contributor
schema:creator
schema:datePublished"2013"
schema:description"When startup innovation involves a potentially disruptive technology -- initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement -- incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms the main prediction of the model."
schema:exampleOfWork<http://worldcat.org/entity/work/id/2220931128>
schema:genre"History"
schema:inLanguage"en"
schema:isPartOf
schema:name"Dynamic commercialization strategies for disruptive technologies evidence from the Speech Recognition Industry"
schema:publication
schema:publisher
schema:url<http://www.nber.org/papers/w19764>
wdrs:describedby

Content-negotiable representations

Cerrar ventana

Inicie una sesión con WorldCat 

¿No tienes una cuenta? Puede fácilmente crear una cuenta gratuita.