MétaCan
Menu
Back to cohort
Record W169568080

Metis : Creativity Of Global Virtual Teams Applied To New Product Development

2009· article· en· W169568080 on OpenAlexaboutno aff
R. Letaïef, Rody R. Klein, Sanxing Cao

Bibliographic record

VenueJournal of the Association for Information Systems · 2009
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsnot available
FundersCapgemini
KeywordsCreativityAppropriationKnowledge managementProduct (mathematics)Process (computing)BrainstormingNew product developmentMetisImprovisationAdaptation (eye)Working groupEngineeringPsychologyComputer scienceBusinessSocial psychologyMarketingEpistemologyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

This paper explores the process by which Global Virtual Teams (GVTs), namely groups of geographically dispersed and culturally diverse members, carry out most of their activities using information technology. Three case studies have been conducted and will be described here. These studies investigate specifically the creative process stages of GVTs and other factors susceptible to affect team members work whilst designing a creative product. The first case study is composed of university students organized in GVTs and taking part in the main Intercultural Virtual Project. The two other case studies are conducted at Capgemini and Lafarge companies, their aim is to shed light on organizational complexity of GVT within companies involved in R&D. The Intercultural Virtual Project is connected to a broader range of studies conducted to understand better the specificity of our Western Creativity based on Mediterranean Culture, namely Metis. Seven stages within the creation process, namely: preparation, incubation, generation, emanation, selection, finalization, and evaluation. The overall innovation will be described as successive interactions between the Global Virtual teams’ conscious and unconscious’ creative processes in order to develop a new product. GVTs creativity depends also on emergent states and processes: technology appropriation, group awareness and group memory. Furthermore three managerial levers were identified: contiguity, proximity and reflexivity. These levers include useful procedures in order to enhance the creative process.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.283
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Association for Information SystemsSame topicTeam Dynamics and PerformanceFrench-language works237,207