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Lifting the veil : using a quasi-replication approach to assess sample selection bias in patent-based studies
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Criscuolo, Paola, Alexy, Oliver, Sharapov, Dmitry and Salter, Ammon (2019) Lifting the veil : using a quasi-replication approach to assess sample selection bias in patent-based studies. Strategic Management Journal, 40 (2). pp. 230-252. doi:10.1002/smj.2972 ISSN 0143-2095.
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Strategic Management Journal - 2018 - Criscuolo - Lifting the veil Using a quasi‐replication approach to assess sample.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (5Mb) | Preview |
Official URL: http://doi.org/10.1002/smj.2972
Abstract
Patent data is a valued source of information for strategy research. However, patent-based studies may suffer from sample selection bias given that patents result from within-firm selection processes and hence do not represent the full population of inventions. We assess how incidental and nonincidental data truncation resulting from firm-level and inventor-level selection processes may result in sample selection bias using a quasi-replication approach, drawing on rich qualitative data and a novel, proprietary dataset of all 40,000 invention disclosures within a large multinational firm. We find that accounting for selection both reaffirms and challenges past work, and discuss the implications of our findings for work on the microfoundations of exploratory innovation activities and for strategy research drawing on patent data.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Social Sciences > Warwick Business School | ||||||||
Journal or Publication Title: | Strategic Management Journal | ||||||||
Publisher: | John Wiley & Sons Ltd. | ||||||||
ISSN: | 0143-2095 | ||||||||
Official Date: | February 2019 | ||||||||
Dates: |
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Volume: | 40 | ||||||||
Number: | 2 | ||||||||
Page Range: | pp. 230-252 | ||||||||
DOI: | 10.1002/smj.2972 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||
Date of first compliant deposit: | 2 June 2023 | ||||||||
Date of first compliant Open Access: | 2 June 2023 |
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