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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/48534 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/48534 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/48534 archive 2 disk0/00/01/24/46 2016-04-05 12:10:35 2021-08-27 17:26:23 2016-04-05 12:10:35 book_section show Kelley M.R. Brooks H. AL0046 pub prog_tes In this chapter, we are concerned with explaining which types of firms have failed to adopt well-known improvements in process technology. This problem has, of course, been the underlying concern of all studies of diffusion “to rationalize why, if a new technology is superior, it is not taken up by all potential adopters” (Stoneman, 1983). Drawing on various theoretical perspectives, we identify a number of different barriers to adoption. With data collected from a 1987 nationally representative sample of US establishments in 21 metal-working and machinery manufacturing industries, we then construct a multivariate logistic regression model to empirically test for the effects of these factors on the likelihood of adoption of a particular process innovation, namely programmable automation (PA) machine tools. 1991 Springer 10.1007/978-3-662-02700-4_14 1764 214 public Berlin/Heidelberg, Germany 341-381 TRUE 978-3-662-02702-8 Diffusion of Technologies and Social Behavior Nakicenovic N. 395 0000-0001-7176-4604 Grubler A. 0000-0002-7814-4990 FALSE info:eu-repo/semantics/bookPart