MétaCan
Menu
Back to cohort
Record W2062915642 · doi:10.1509/jm.10.0418

Creating Major Innovations with Customers: Insights from Small and Young Technology Firms

2012· article· en· W2062915642 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 Marketing · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsBusinessMarketingNew product developmentProcess (computing)Product (mathematics)Process managementKnowledge managementComputer science

Abstract

fetched live from OpenAlex

The marketing literature typically argues that customers cannot easily be involved with, and contribute to, the creation of major innovation (MI). This article finds otherwise. The authors use an inductive process method to study how six MIs were developed for business-to-business markets by small and young technology firms. Three of the MIs were successful, and three failed. The firms with MI success are distinguished by a nonconventional new product development process that includes five iterative and overlapping activities and up to ten different customer roles. These activities and roles are captured in a multifaceted taxonomy of customer participation. The analysis also uncovers three capabilities relevant to the development of successful MI—capabilities that are effectual rather than adaptive in nature. These findings and the propositions derived from them offer a more complete understanding of customer participation, new product development across contexts, and marketing capabilities.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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