Intellectual capital and performance in temporary teams
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this paper is to deepen resource-based view theory by analyzing how intellectual capital (IC) affects performance in temporary teams and by showing the moderating role of integrative mechanisms. Design/methodology/approach The research context focuses on 153 national teams of football (NTF), also referred to as national soccer teams, as an example of temporary groups. A partial least squares (PLS) methodology was utilized on a data set built from transfermarkt.com and FIFA world rankings. Three main hypotheses were developed and tested using first a PLS and then an OLS approach. Findings The results show how IC contributes to performance, extending the findings of previous studies to the context of temporary teams. Additionally, the results show how some integrative mechanisms such as assembly decisions and team leader experience influence temporary team performance by creating an interaction effect with existing IC. Originality/value This study contributes to IC theories for three reasons. First, it applies IC research to a specific research context: temporary teams, where specific organizational capabilities are required to coordinate resources. Second, the study analyzes the role of integrative mechanisms as moderators of the relationship between IC and performance in temporary teams. Third, the study focuses on NTF as an example of temporary teams.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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