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The (Unknown) Providers to Other Firms' New Product Development: What's in It for Them?

2012· article· en· W2123589368 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Product Innovation Management · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsBusinessReciprocalAbsorptive capacityMarketingNew product developmentIndustrial organizationProduct (mathematics)Open innovationEconomic shortageProduct innovationPhenomenonKnowledge sharingKnowledge management

Abstract

fetched live from OpenAlex

For every inbound activity by a firm in open innovation, a reciprocal outbound activity by another firm must be generated. The reciprocal outbound activities range from transferring of knowledge and ideas to solutions delivered to other firms' new product development projects. This paper names the firms that produce the reciprocal outbound activity for “providers,” and is the first to empirically investigate such providers of ideas, solutions, and technologies for other firms' open innovation activities. The literature review shows a surprising shortage of research on who the providers are, how they engage with other firms, and not least what potential benefits can be achieved from supporting other firms' innovation activities. The paper uses a quantitative survey on D anish small and medium‐sized enterprises ( SME s) carried out in 2010 to identify the providers, the role they take on, and the main benefits the providers gain. This paper finds that firms that are providers are indeed an under‐researched and important phenomenon for firms' innovation activities. Compared to receivers of knowledge, the providers are younger, have a higher R&D intensity, adopt more open innovation practices, have higher absorptive capacity, and fewer barriers toward knowledge sharing as demonstrated by the NIH and NSH syndromes. Finally, although only tentatively, the paper finds that the provider firms are more product innovative compared to nonproviders. The paper further finds that more projects, more embedded relationships, and mutual rather than one‐way exchange relationships significantly raise the probability that a firm experiences a substantial benefit from providing to other firms' new product development projects. The overall ambition of the paper at this point is to inspire other researchers to pursue the agenda on the provider perspective for future research. To support such research, the paper suggests a broadening of the research perspectives from the receiver of knowledge, in the literature on interorganizational relationships and open innovation, to include the provider, and even suggests some preliminary ideas for such research. Hence, the contribution of this paper lies not only in opening a new research topic but also in identifying some first characteristics of the phenomenon adding a substantial perspective to the literature on open innovation and interorganizational relationships. The paper formulates three indicative recommendations for managers that consider becoming a provider to other firms' NPD .

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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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.281
Teacher spread0.224 · 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