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Record W4412549410 · doi:10.1111/jems.70001

Protecting Intermediate Innovations When Ideas Are Scarce: Patents or Secrecy?

2025· article· en· W4412549410 on OpenAlexaff
Bonwoo Koo, Jangho Yang, Brian D. Wright

Bibliographic record

VenueJournal of Economics & Management Strategy · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSecrecyBusinessLaw and economicsComputer securityInternet privacyComputer scienceEconomics

Abstract

fetched live from OpenAlex

ABSTRACT Patenting an intermediate research innovation can lead to competition for the development of a final commercial innovation and potentially induce wasteful duplicative R&D efforts. This study examines the effects of different protection strategies and patent life on the incentives to protect an intermediate innovation by considering a two‐stage sequential innovation model. In this model, the success of a patentable final innovation depends on information about prior intermediate innovations and on complementary inspiration received by innovators. Protecting an intermediate innovation through secrecy can be socially superior if the final innovation involves a high cost and the idea essential to its implementation is common. Acquisition of specialized assets under patenting may increase duplication of resources, and secrecy can act as a social control to limit the entry by many firms. If the idea for the final innovation is scarce, on the other hand, patenting can be optimal for both the innovator of an intermediate innovation and society, and the innovator's incentive is well aligned with social welfare. A broad patent scope can facilitate the adjustment of patent life to align private incentives with the social optimum when the idea for the final innovation is scarce.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.252
Teacher spread0.132 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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