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

Research output: Contribution to journalArticle

10 Scopus citations

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 - Sep 1986
Externally publishedYes

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Adaptive diffusion models for the growth of robotics in New York state industry'. Together they form a unique fingerprint.

  • Cite this