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Reputation for Product Innovation: Its Impact on Consumers

2010· article· en· W2085886095 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 · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Identity and Reputation
Canadian institutionsQueen's University
Fundersnot available
KeywordsReputationBusinessMarketingProduct (mathematics)Competitive advantageNew product developmentProduct innovationEmpirical evidenceEmpirical researchLoyaltyIndustrial organization

Abstract

fetched live from OpenAlex

Just as firms compete for customers, they also vie for reputational status across their relevant constituent groups. To many firms, a reputation as an innovative company is something that is both prized and actively sought after. Despite an abundance of anecdotal evidence pointing to several firms' active pursuit of an innovative reputation, there is little empirical evidence to evaluate the soundness of this pursuit. On a general level, this research recognizes that firms compete for competitive advantage via their tangible and intangible resources. Much of the innovation literature centers on the tangible impact that new product development initiatives have on outcomes of innovation. Yet research investigations of the less tangible facets of innovation, such as a reputation, remain relatively uninvestigated despite their promise as a source of sustainable competitive advantage. This study investigates the effects of a corporate reputation for product innovation (RPI) and its impact on consumers. Consumer involvement levels are proposed to mediate the relationship between RPI and consumer outcomes. Empirical results indicate that a high consumer perceived RPI, via the involvement construct, leads to excitement toward and heightened loyalty to the innovative firm. A more positive overall corporate image and tolerance for occasional product failures are also positive outcomes noted in the results. Contrary to expectations, a high perceived RPI does not lead to a consumer propensity to pay price premiums.

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.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.522
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.032
GPT teacher head0.306
Teacher spread0.273 · 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