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A Closer Look at Cross‐Functional Collaboration and Product Innovativeness: Contingency Effects of Structural and Relational Context

2011· article· en· W2122964140 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Product Innovation Management · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsBrock University
Fundersnot available
KeywordsContingencyKnowledge managementContext (archaeology)BusinessContingency theoryProduct (mathematics)New product developmentAutonomyStructural equation modelingDyadMarketingPsychologyComputer scienceSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

This study applies a contingency perspective to examine how the intra‐organizational context influences the relationship between cross‐functional collaboration and product innovativeness. It focuses on the role of (1) formal, structural factors directly controllable by top management decisions and (2) more intangible, relational factors as potential enhancements of the firm's ability to convert cross‐functional collaboration into product innovativeness. A study of 232 firms confirms the hypotheses, finding that the relationship between cross‐functional collaboration and product innovativeness is stronger for higher levels of decision autonomy and shared responsibility (structural context) and social interaction, trust, and goal congruence (relational context). In addition, a post‐hoc analysis using a configurational approach to organizational contingencies reveals that organizations' relational context is more potent than their structural context for converting cross‐functional collaboration into product innovativeness. The study's implications and future research directions are discussed.

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.

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)0.001
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 score0.831
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.028
GPT teacher head0.247
Teacher spread0.219 · 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