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Litigation risks and firms innovation dynamics after the IPO

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Abstract

An initial public offering (IPO) is a critical event in a firm’s life cycle which can reshape its innovation strategy. Research suggests that after going public firms experience an increase in patent productivity. Our paper explores perceived litigation risks as a determinant of this outcome by examining US semiconductor firms. Results show that perceived patent litigation risks are positively associated with patent productivity after the IPO. Interestingly, we also find that the amount of capital raised during the IPO is positively associated with patent productivity after the IPO, successfully replicating previous findings on this relationship. These results are robust to model specifications where we attempt to account for the dynamics of self-selection of firms into IPO by considering matched control firms with similar pre-IPO characteristics, but that never went public.

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Notes

  1. Resource munificence captures the availability of financial or non-financial resources that may be immediately deployed by the firm (Chang et al. 2018; Dess and Beard 1984; Nohria and Gulati 1996).

  2. Research on market formation has identified aspects of uncertainty including lack of knowledge about technologies and product categories (Grodal et al. 2015; Rindova and Petkova 2007), about dimensions of value within categories (Lee et al. 2018; Rosa et al. 1999), and about industry architectures (Ambos and Birkinshaw 2010a, b; Dattée et al. 2018; Santos and Eisenhardt 2009).

  3. Our observation period begins in January 1996 because IPO prospectuses are available on the SEC Electronic Data Gathering, Analysis, and Retrieval (EDGAR) service only.

  4. Since an IPO represents the most profitable exit route for VC investors (Gompers and Lerner 1999), it becomes in principle a major strategic objective for VC-backed companies. For such reason, we decided to refer to VC-backed companies in order to construct our control group.

  5. We opt for exact matching on relevant covariates rather than propensity score matching (PSM) because recent research shows that coarsened exact matching (CEM) is likely to produce more balanced matched samples than PSM (Iacus et al. 2011, 2012). To provide the strictest test, for each treated firm we find a control firm that matches exactly on the observed covariates.

  6. In their analysis of the innovative behaviour of a sample of US firms going public or being acquired, Aggarwal and Hsu (2014) utilize a 3-year pre-IPO and 3-year post-IPO time window to assess the variation in patent productivity. A similar time window is used by Wies and Moorman (2015) in their comparison of the innovation productivity of a sample of US firms going public with a benchmark of similar private firms. The study by Bernstein (2015) uses a slightly different time window, as it considers patent activity over a period from 3 years before to 5 years after the IPO filing, for a sample of US IPOs.

  7. We deliberately set out to replicate this previous result because it is central for our theorizing on perceived risks of litigation and to respond to the increasing demand for replication in the academic community (Bettis 2012; Bettis et al. 2016; Loken and Gelman 2017).

  8. For instance, in 2002 just a few days before its IPO, PayPal received a patent infringement lawsuit that delayed the company's IPO by a week, raising doubts on the media that it would ever go public. In a similar way, in 2012 Facebook was hit by a legal action over patents moved by Yahoo!, just weeks before its planned initial public offering of stock (Feldman and Frondorf 2015).

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Forti, E., Morricone, S. & Munari, F. Litigation risks and firms innovation dynamics after the IPO. J. Ind. Bus. Econ. 48, 291–313 (2021). https://doi.org/10.1007/s40812-020-00161-y

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