Organizational contextual determinants of cross‐functional NPD team support
Bibliographic record
Abstract
Purpose – This research aims to identify various organizational‐level factors influencing support for cross‐functional new product development (NPD) teams. Design/methodology/approach – A total of 2,500 questionnaires where mailed in 2003 to managers of product development from Canadian and US manufacturing organizations operating in the machinery, computer, electronic product, electrical equipment, and transportation equipment manufacturing industrial sectors. A total of 269 usable questionnaires were returned for a response rate of 11.1 percent. Findings – Results of performing regression analysis indicate that the quality of communication between the functional disciplines involved in NPD activities, perceived risks and complexity of using cross‐functional NPD teams, and the complexity of the organization's NPD activities all influence organizational support for cross‐functional NPD teams. Based on the qualitative data, additional reasons why cross‐functional NPD teams may not be supported in organizations are identified and discussed. Research limitations/implications – The major limitation of this study is that the respondents are NPD managers. These managers commented on the extent that support for cross‐functional NPD teams exists at the team, departmental, and senior management levels. Future research should focus on gauging organizational support for cross‐functional NPD teams by directly surveying team members, functional managers, and senior managers. Practical implications – This study identifies various organizational‐level factors influencing support for cross‐functional NPD teams. Originality/value – This research is of value to managers using or implementing cross‐functional teams, as it indicates potential organizational‐level factors that may facilitate or hamper the usage of such teams. To researchers, it provides a starting point in studying the determinants of support for cross‐functional NPD teams, and cross‐functional teams in general.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".