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The dynamics of superior performance among the largest firms in the global oil industry, 1954--2008

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  • Marc Baaij
  • Abe de Jong
  • Jan van Dalen

Abstract

This study combines quantitative and qualitative research methods to contribute to the understanding of the dynamics of superior performance among the largest firms in the global oil industry during the 1954--2008 period by identifying new stylized facts. The combination of parametric and non-parametric analysis displays cyclical patterns of the different aspects of performance dynamics. Appreciative theorizing through qualitative historical analysis uncovers causal explanations that are based on an interplay of corporate, industrial, and institutional change, that leads to a succession of four competitive regimes. Copyright 2011 The Author 2011. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved., Oxford University Press.

Suggested Citation

  • Marc Baaij & Abe de Jong & Jan van Dalen, 2011. "The dynamics of superior performance among the largest firms in the global oil industry, 1954--2008," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(3), pages 789-824, June.
    • Handle: RePEc:oup:indcch:v:20:y:2011:i:3:p:789-824
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    File URL: http://hdl.handle.net/10.1093/icc/dtq065
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    Cited by:

    1. Tuukka Mäkitie & Håkon E. Normann & Taran M. Thune & Jakoba Sraml Gonzalez, 2018. "The green flings: market fluctuations and incumbent energy industries’ engagement in renewable energy," Working Papers on Innovation Studies 20180524, Centre for Technology, Innovation and Culture, University of Oslo.
    2. Tarighi, Sina & Shavvalpour, Saeed, 2021. "Technological development of E&P companies in developing countries: An integrative approach to define and prioritize customized elements of technological capability in EOR," Resources Policy, Elsevier, vol. 72(C).
    3. Maleki, Ali & Rosiello, Alessandro, 2019. "Does knowledge base complexity affect spatial patterns of innovation? An empirical analysis in the upstream petroleum industry," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 273-288.

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