Internal corporate venturing: An exploratory study integrating technology and strategy.
Item
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Title
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Internal corporate venturing: An exploratory study integrating technology and strategy.
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Identifier
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AAI9020751
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identifier
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9020751
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Creator
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David, Byron Lambros.
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Contributor
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Adviser: Michael N. Chanin
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Date
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1990
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Language
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English
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Publisher
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City University of New York.
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Subject
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Business Administration, General | Business Administration, Management | Economics, Commerce-Business
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Abstract
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This dissertation contrasts the product innovations generated by internal venture groups found in Fortune 500 high-technology companies with those of the firms' mainstream divisions, as well as with those of independent small firms. A number of associations between these groups on the basis of the product attributes and the diversification represented by the innovations are explored. The attributes include success, radicalness, and performance; and, two types of diversification are defined--marketing and technological. The dynamics of the environment are also considered. For example, in a given environment, internal venture products were found to be highly distinguishable from those of mainstream divisions and small firms on the basis of product radicalness and marketing diversification. Additionally, the study looks closely at the organizational characteristics of the internal venture groups through factors defining organizational differentiation and integration; and, at the origin of product concepts. Here, the presence of intrapreneurs and their relationship to different types of venture managers is examined on the basis of product concept origin, product attributes, and the degree of diversification represented by the product. This research was achieved by conducting a large-scale survey that included structured telephone interviews, followed by a mail questionnaire developed specifically for this purpose. The sample was comprised of U.S. firms in the electronics, computer, chemicals, and scientific and photographic equipment industries. Advanced multivariate statistical methods using SPSS/PC+ V2.0 were employed to analyse the data. The results of this study should be of particular interest to corporate planners and policymakers. Recommendations for future research are included.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
