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Crossing the innovation threshold through mergers and acquisitions

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  • Cefis, Elena
  • Marsili, Orietta

Abstract

Firms are resorting more and more to mergers and acquisitions (M&A) to bridge the gap between where they are and where they would like to be in relation to innovation and performance. This paper investigates whether involvement in M&A triggers distinct patterns of innovative behaviour across firms, and whether this effect is conditional on firm size. The analysis combines data from four waves of the Community Innovation Survey (CIS) and the Business Register of Dutch manufacturing firms. We observe that M&As influence the probability that firms will begin innovation activities or persist with them, and these effects vary at different points in the firm size distribution. In particular, by using M&A firms are able to persist with the innovation efforts and output over time, and this effect is especially strong for large firms. For small firms, M&A help them to cross the ‘innovation threshold’, increasing the probability of the transition from a non-innovator to an active innovator. However, the M&A effect does not mitigate the tendency of small firms to be occasional innovators.

Suggested Citation

  • Cefis, Elena & Marsili, Orietta, 2015. "Crossing the innovation threshold through mergers and acquisitions," Research Policy, Elsevier, vol. 44(3), pages 698-710.
  • Handle: RePEc:eee:respol:v:44:y:2015:i:3:p:698-710
    DOI: 10.1016/j.respol.2014.10.010
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    1. Jinho Choi & Yong Sik Chang, 2020. "Development of a New Methodology to Identity Promising Technology Areas Using M&A Information," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    2. Olcay, Gökçen Arkalı & Öner, M. Atilla & Olcay, Ali Bahadır, 2019. "A conceptual view of exergy destruction in mergers and acquisitions," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 336-352.
    3. Tianxu Jiang & Min Zhu, 2021. "The impact of innovation on companies’ cross-border mergers and acquisitions: evidence from China," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(3), pages 969-991, June.
    4. Basant, Rakesh & Jaiswal, Neha, 2022. "Impact of Mergers and Acquisitions on Innovation: Evidence from a Panel of Indian Pharmaceutical Firms," IIMA Working Papers WP 2022-01-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    5. Andersson, Martin & Xiao, Jing, 2016. "Acquisitions of start-ups by incumbent businesses," Research Policy, Elsevier, vol. 45(1), pages 272-290.
    6. Rui Baptista & Murat Karaöz & João Correia Leitão, 2020. "Diversification by young, small firms: the role of pre-entry resources and entry mistakes," Small Business Economics, Springer, vol. 55(1), pages 103-122, June.
    7. Sandeep Yadav & M.K. Nandakumar, 2020. "Post-M&A Innovation in Indian firms – An Empirical Investigation," Working papers 370, Indian Institute of Management Kozhikode.
    8. Jinho Choi & Nina Shin & Yong Sik Chang, 2021. "Strategic Investment Decisions for Emerging Technology Fields in the Health Care Sector Based on M&A Analysis," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
    9. Eunmi Tatum Lee & Young-Ryeol Park & Jooyoung Kwak, 2023. "Knowledge distance and innovation performance: the moderating role of internationalization breadth and depth," Asian Business & Management, Palgrave Macmillan, vol. 22(3), pages 1131-1154, July.
    10. Andrea Orame & Daniele Pianeselli, 2023. "Thinking the green transition: evidence from the automotive industry," Questioni di Economia e Finanza (Occasional Papers) 767, Bank of Italy, Economic Research and International Relations Area.
    11. Hawkes, Adam & Muûls, Mirabelle & Hamilton, James W., 2023. "Big oil and the energy transition: Evidence from M&A," Energy Policy, Elsevier, vol. 183(C).
    12. Chen, Victor Zitian & Shapiro, Daniel M. & Li, Jing, 2022. "Cross-border acquisitions and R&D: Unpacking the impact on acquirers and targets," Finance Research Letters, Elsevier, vol. 47(PB).
    13. Yuri Jo & Jungho Kim, 2019. "The Impact of Experience on Private Target Acquisition in High-Technology Industries," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    14. 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).
    15. McCarthy, Killian J. & Aalbers, Hendrik Leendert, 2016. "Technological acquisitions: The impact of geography on post-acquisition innovative performance," Research Policy, Elsevier, vol. 45(9), pages 1818-1832.
    16. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
    17. Marta F. Arroyabe & Martin Schumann, 2022. "On the Estimation of True State Dependence in the Persistence of Innovation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 850-893, August.
    18. Marius Tuft Mathisen & Raj Krishnan Shankar & Øystein Widding & Einar Rasmussen & Alexander McKelvie, 2022. "Enablers of exit through trade sale: the case of early-stage research-based spin-offs," Small Business Economics, Springer, vol. 59(2), pages 521-535, August.

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    More about this item

    Keywords

    Mergers and acquisitions; Innovation; Small and medium sized enterprises; Dynamic random effect probit models; Multiplicative interaction models;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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