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Paul Nightingale

Researcher at University of Sussex

Publications -  94
Citations -  4047

Paul Nightingale is an academic researcher from University of Sussex. The author has contributed to research in topics: Corporate governance & Technology management. The author has an hindex of 28, co-authored 90 publications receiving 3740 citations. Previous affiliations of Paul Nightingale include University of Calgary.

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How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management

TL;DR: In this article, the authors provide quantitative evidence on how the use of journal rankings can disadvantage interdisciplinary research in research evaluations using publication and citation data, and compare the degree of interdisciplinarity and the research performance of a number of Innovation Studies units with that of leading Business & Management Schools (BMS) in the UK.
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A cognitive model of innovation

TL;DR: A theoretical framework based on empirical case study research is developed that explains the role of tacit knowledge in technical change and how scientific knowledge is used in innovation and develops a theoretical argument that proposes that science cannot be directly applied to produce technology because science answers the wrong question.
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High-growth firms: Introduction to the special section

TL;DR: In this article, the importance of high growth firms for future industrial performance is discussed, as well as the difficulties involved in predicting which firms will grow, the lack of persistence in high growth levels and the complex and often indirect relationship between firm capability, high growth, and macroeconomic performance.
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Muppets and gazelles: Political and methodological biases in entrepreneurship research

TL;DR: In this article, the authors argue that despite an almost universally accepted belief outside academia that entrepreneurial activity is a positive driving force in the economy, the accumulated evidence remains largely inconclusive.
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The myth of the biotech revolution

TL;DR: Empirical evidence is presented that shows that a range of outputs have failed to keep pace with increased research and development spending, suggesting that the assumptions underpinning much contemporary policymaking need to be rethought.