1993
DOI: 10.2307/2555742
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Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model

Abstract: In this paper we set up a general duration model of technology adoption which incorporates the main factors discussed in the different demand side theories of diffusion of new process technologies. The model is applied to the data on diffusion of CNC in the UK engineering industry. It is found that while there is strong evidence for the rank and endogenous learning effects, there seems to be little evidence in support of the stock and order effects, as characterized by the game theoretic models.

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Cited by 360 publications
(364 citation statements)
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“…Stoneman and Battisti (1997) and later on Battisti (2000) have shown that this approach provides only a partial explanation (if any) of the intra-firm process and that an equilibrium profitability based approach can provide a better explanation of the diffusion process. Karshenas and Stoneman (1993) classify the inter-firm equilibrium models present in the literature into three main approaches. Their common ground is that at a point in time diffusion extends only to the point where it is profitable (or most profitable) to adopt the new technology.…”
Section: An Integrated Diffusion Modelmentioning
confidence: 99%
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“…Stoneman and Battisti (1997) and later on Battisti (2000) have shown that this approach provides only a partial explanation (if any) of the intra-firm process and that an equilibrium profitability based approach can provide a better explanation of the diffusion process. Karshenas and Stoneman (1993) classify the inter-firm equilibrium models present in the literature into three main approaches. Their common ground is that at a point in time diffusion extends only to the point where it is profitable (or most profitable) to adopt the new technology.…”
Section: An Integrated Diffusion Modelmentioning
confidence: 99%
“…Following Karshenas and Stoneman (1993) For simplicity, assume that the potential investor has myopic expectations on both adoption costs and the gross profit gains (see Ireland and Stoneman, 1986, for a relaxation of this assumption) and is risk neutral (see Stoneman, 1981, for a more formal model with uncertainty), with all potential adopters being price takers. Define П ij (t) as the gross expected profit gain in time t to firm i in industry j from (i) the use of a first unit of a new technology if a non-user or (ii) the extension of use of a new technology by one unit if already a user.…”
Section: An Integrated Diffusion Modelmentioning
confidence: 99%
“…These models fail to take into account time-variance in certain characteristics, as it is possible that a household may choose not to invest (Y = 0) at a time t in order to generate a greater net present value at a later date. For a discussion of this type of duration analysis Karshenas and Stoneman (1993) provide a detailed review of modelling technology di usion.…”
Section: It Is Apparent Frommentioning
confidence: 99%
“…These studies generally look at whether a household makes a decision to engage in any retro t measures, regardless of intensity. This literature exists within a wider literature on technology adoption, which is dominated by duration analysis (Hannan and McDowell, 1984;Karshenas and Stoneman, 1993;Kerr and Newell, 2003;Rose and Joskow, 1988). Within the more speci c eld of residential EEM adoption, there exists a greater variety of analyses.…”
Section: Introductionmentioning
confidence: 99%
“…We examine initial adoption and subsequent intensification of commercial use of the internet by companies, working in the theoretical framework of Karshenas and Stoneman (1993) which divides influences on diffusion into rank, stock, order, and epidemic effects. The framework is applied to initial adoption and intensification in separate equations, as in Battisti et al (2007) and Hollenstein and Woerter (2008).…”
Section: Introductionmentioning
confidence: 99%