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      HIGH TECHNOLOGY AND FLEXIBLE AUTOMATION

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            Abstract

            Data from Australian manufacturing industries show that high technology industries are more intensively automated that other manufacturing industries and that the technological level and product complexity of an industry are the best explanatory variables for automation intensity. The empirical evidence shows the need to modify some of the assumptions of the Utterback and Abernathy model of the innovation life cycle.

            Content

            Author and article information

            Journal
            cpro20
            CPRO
            Prometheus
            Critical Studies in Innovation
            Pluto Journals
            0810-9028
            1470-1030
            June 1993
            : 11
            : 1
            : 61-72
            Affiliations
            Article
            8629136 Prometheus, Vol. 11, No. 1, 1993: pp. 61–72
            10.1080/08109029308629136
            56eb986f-6a9d-4aae-aa49-5a9db2e59311
            Copyright Taylor & Francis Group, LLC

            All content is freely available without charge to users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission of the publisher or the author. Articles published in the journal are distributed under a http://creativecommons.org/licenses/by/4.0/.

            History
            Page count
            Figures: 0, Tables: 0, References: 7, Pages: 12
            Categories
            Original Articles

            Computer science,Arts,Social & Behavioral Sciences,Law,History,Economics
            flexible manufacturing technologies,Automation intensity,Australian manufacturing,R&D,innovation life cycle,high technology

            NOTES AND REFERENCES

            1. Coombs R. and Kleinknecht A.. 1986. . “‘New evidence on the shift toward process innovation during the long wave upswing’. ”. In Design, Innovation and Long Cycles in Economic Development . , Edited by: Freeman C.. p. 78––103. . Frances Pinter Publishers. .

            2. M. Porter, ‘The technological dimension of competitive strategy’, Research on Technological Innovation, Management and Policy, vol. 1, JAI Press Inc, 1983.

            3. Utterback J. and Abernathy W.. 1975. . ‘A dynamic model of poduct and process innovation’. . Omega . , Vol. 3((6)): 639––656. .

            4. A. De Meyer, ‘The manufacturing contribution to innovation’, INSEAD Working Paper, no. 90/28, 1990.

            5. Cainarca G.. 1989. . ‘An evolutionary pattern of innovation diffusion: The case of flexible automation’. . Research Policy . , Vol. 18((1)): 59––86. .

            6. M. Breheny and R. McQuaid, (eds), The Development of Nigh Technology Industries, Routledge, 1988.

            7. Martinez A.. 1992. . ‘The role of small firms in the development of the robotics market in Spain’ . , Spain : : University of Zaragoza. .

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