Facilitating and Rewarding Creativity during New Product Development
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.
Bibliographic record
Abstract
In an effort to improve creativity in the new product development process, many firms offer incentive programs, creativity training programs, or both. However, creativity continues to be a construct that is not well understood in marketing, and little research has examined the joint influence of such initiatives on creative outcomes. As a result, there is considerable variance in the way firms approach these issues. A qualitative study of 20 firms indicates that 15 offered some type of incentive program, whereas only 7 engaged in creativity training (a subset of the firms used both). Given that previous research has consistently found that extrinsic rewards offered in isolation actually undermine the creative process (by reducing intrinsic motivation), it seems that many firms may be unwittingly hampering their own creative efforts. However, two experiments demonstrate that the effect of rewards can be made positive if offered in conjunction with appropriate training. Specifically, product creativity was highest when the monetary reward was paired with a dedicated creative training technique. The training alters the influence of the reward such that it reinforces, rather than undermines, intrinsic motivation. Managers can improve the effectiveness of their creative efforts by leveraging the use of incentives and training in combination.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it