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

Stuart Bretschneider; Barry Bozeman

doi:10.1016/0040-1625(86)90014-4

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

Stuart Bretschneider, Barry Bozeman

Department of Public Administration

Research output: Contribution to journal › Article › peer-review

11 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 language	English (US)
Pages (from-to)	111-121
Number of pages	11
Journal	Technological Forecasting and Social Change
Volume	30
Issue number	2
DOIs	https://doi.org/10.1016/0040-1625(86)90014-4
State	Published - Sep 1986

ASJC Scopus subject areas

Business and International Management
Applied Psychology
Management of Technology and Innovation

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10.1016/0040-1625(86)90014-4

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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.",

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

Abstract

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