Adaptive diffusion models for the growth of robotics in New York state industry

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Forecasts are developed for the diffusion of robotics in the state of New York through the year 2015. The chief objective is to compare static approaches with dynamic models for forecasting diffusion processes of various time horizons. Results for a Bass-Mansfield model are compared to those for a dynamic time-varying parameter model. The results indicate the advantages and disadvantages of a robust heuristic approach which smooths data as opposed to providing an optimal fit.

Original languageEnglish (US)
Pages (from-to)111-121
Number of pages11
JournalTechnological Forecasting and Social Change
Volume30
Issue number2
DOIs
StatePublished - 1986
Externally publishedYes

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Robotics
Industry
Bass
Growth
Dynamic models
Diffusion model
Heuristics
Bass model
Time horizon
Diffusion process
Disadvantage
Time-varying parameter model

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation
  • Applied Psychology

Cite this

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title = "Adaptive diffusion models for the growth of robotics in New York state industry",
abstract = "Forecasts are developed for the diffusion of robotics in the state of New York through the year 2015. The chief objective is to compare static approaches with dynamic models for forecasting diffusion processes of various time horizons. Results for a Bass-Mansfield model are compared to those for a dynamic time-varying parameter model. The results indicate the advantages and disadvantages of a robust heuristic approach which smooths data as opposed to providing an optimal fit.",
author = "Stuart Bretschneider and Barry Bozeman",
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