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Record W4240938110 · doi:10.1111/1540-5885.1810015

Individual differences, environmental scanning, innovation framing, and champion behavior: key predictors of project performance

2001· article· en· W4240938110 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 · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicInnovation, Sustainability, Human-Machine Systems
Canadian institutionsWestern University
Fundersnot available
KeywordsChampionFraming (construction)Product innovationNew product developmentMarketingBusinessPsychologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

Although increasing evidence points to the importance of champions for keeping product innovation ideas alive and thriving, little is known about how champions identify potential product innovation ideas, how they present these ideas to gain much needed support from key stakeholders, and their impact on innovation project performance over time. Jane M. Howell and Christine M. Shea address this knowledge gap by using measures of individual differences, environmental scanning, innovation framing and champion behavior to predict the performance of 47 product innovation projects. Champion behavior was defined as expressing confidence in the innovation, involving and motivating others to support the innovation, and persisting under adversity. Interviews with 47 champions were conducted to collect information about the innovation projects and the champions' tendency to frame the innovation as an opportunity or threat. Survey data were obtained from three sources: 47 champions provided information on their personal characteristics (locus of control and breadth of interest) and activities (environmental scanning), 47 division managers subjectively assessed project performance at two points in time, and 237 innovation team members rated the frequency of champion behavior. The results revealed that an internal locus of control orientation was positively related to framing the innovation as an opportunity, and breadth of interest was positively related to environmental scanning. Environmental scanning of documents and framing the innovation as a threat was negatively related to champion behavior, while environmental scanning through people was positively related to champion behavior. Champion behavior positively predicted project performance over a one‐year interval. Overall, the findings suggest that in scanning the environment for new ideas, the most effective source of information is the champion's personal network of people inside and outside the organization. Also, the simple labeling of an idea as a threat appears to diminish a champion's perceived influence and erode credibility in promoting an innovation. From the perspective of division managers, champions make a positive contribution to project performance over time, reinforcing the crucial role that champions play in new product development process.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.665

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 communication0.0000.001
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 head0.031
GPT teacher head0.305
Teacher spread0.274 · 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