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Technological breadth and depth of knowledge in innovation: the role of mergers and acquisitions in biotech

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  • Suman Lodh
  • Maria Rosa Battaggion

Abstract

We analyze the diffusion and integration of external knowledge by distinguishing between the depth and breadth of technological knowledge in combination with the type of partner and channel of exchange. Using a latent variable structural equation model with a sample of 202 US biotechnology firms between 1990 and 2009, we investigate the extent to which the mergers and acquisitions with different partners contribute to the depth and breadth of the focal firm’s knowledge base. Our analysis also addresses potential endogeneity issues and shows that acquisitions of related firms mainly increase the depth of knowledge, while acquisitions of unrelated firms develop the breadth of knowledge.

Suggested Citation

  • Suman Lodh & Maria Rosa Battaggion, 2015. "Technological breadth and depth of knowledge in innovation: the role of mergers and acquisitions in biotech," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(2), pages 383-415.
    • Handle: RePEc:oup:indcch:v:24:y:2015:i:2:p:383-415.
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    File URL: http://hdl.handle.net/10.1093/icc/dtu013
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    Cited by:

    1. Ran Ma & Xiaodan Kong & Mianqing Wang & Xiangde Kong, 2023. "The Impact of Utility Model Patent Quality on Export Performance in China: A Moderated Mediation Effect Model," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    2. Hui Gao & Suming Wu, 2023. "The Influence of Ambidextrous Knowledge Search on Technological Innovation: The Mediating Role of Knowledge Base," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Suman Lodh & Nitin Deshmukh & Alireza Rohani, 2024. "Stemming the tide: Does climate risk affect M&A performance?," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 858-881, February.
    4. Insoo Lee & Eungdo Kim, 2019. "Factors Affecting the Outbound Open Innovation Strategies in Pharmaceutical Industry: Focus on Out-Licensing Deal," JOItmC, MDPI, vol. 5(4), pages 1-13, September.
    5. Jiang, Cuiqing & Zhou, Yiru & Chen, Bo, 2023. "Mining semantic features in patent text for financial distress prediction," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. Shafique, Muhammad & Hagedoorn, John, 2022. "Look at U: Technological scope of the acquirer, technological complementarity with the target, and post-acquisition R&D output," Technovation, Elsevier, vol. 115(C).
    7. Karen Ruckman & Ian McCarthy, 2017. "Why do some patents get licensed while others do not?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 667-688.
    8. SUN, Yu-tao & ZHANG, Chen & WANG, Jin-min, 2022. "How to Benefit from Balancing External Knowledge Acquisition? A Chinese EIT Industry Case," Technological Forecasting and Social Change, Elsevier, vol. 178(C).

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