Understanding the effect of boundary spanning activities on team identification in new product development teams
Bibliographic record
Abstract
Despite the relevance of team boundary spanning in new product development (NPD), there is great deal we still do not know about these activities. For example, little is known about how these activities affect the development of team identification, an important emergent state with critical implications for new product performance. This study extends our understanding of this topic by exploring the relationship between team boundary spanning and team identification. This relationship is examined via the intervening mechanisms of team potency and team boundedness and the moderating effect of intra-team communication. Data from a time-lagged survey study of 140 NPD projects revealed that team potency and team boundedness, respectively, positively and negatively mediate the relationship between team boundary spanning and team identification. Intra-team communication was found to reduce the negative effect of team boundary spanning on team boundedness. JEL CLASSIFICATION 031, 032, 036
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".