The Dark Side of Team Social Cohesion in NPD Team Boundary Spanning
Bibliographic record
Abstract
Although team boundary spanning is conducive to achieving new product (NP) competitive advantage, these actions may not always deliver the expected performance. The current study makes an initial attempt to examine factors that undermine team boundary spanning positive effects on NP competitive advantage by proposing and testing a negative moderating effect of team social cohesion on the relationship between team boundary spanning and NP competitive advantage. Furthermore, the current study expects team social cohesion to have a stronger negative moderating effect on the relationship between team boundary spanning and NP competitive advantage when external task interdependence and project newness are high than when they are low. Data for this study come from 140 NPD projects developed and commercialized by Spanish manufacturing firms in high‐ and medium‐high‐technology sectors. The study’s results reveal a positive effect of team boundary spanning on NP competitive advantage. Furthermore, high levels of team social cohesion are shown to reduce the positive effect of team boundary spanning on NP competitive advantage. Finally, we found that project newness and external task interdependence accentuate the negative moderating effect of team social cohesion on the relationship between team boundary spanning and NP competitive advantage. The current study makes several contributions to the literature. First, findings from this study give us new insights into the significance of team boundary spanning to the success of NPs by revealing that boundary‐spanning activities are beneficial to achieving NP competitive advantage. Second, the study departs from existing research in that it exposes a dark side of team social cohesion for NPD teams engaged in boundary spanning activities. Last, the study expands extant research by proposing and demonstrating that project newness and external task interdependence bring about situations in which external groups present a threat to the collective identity of socially cohesive groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".