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Record W1968592437 · doi:10.1177/1071791907304224

Implementing Process Innovations

2007· article· en· W1968592437 on OpenAlex
Diana E. Krause, Diether Gebert, Eric Kearney

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 Leadership & Organizational Studies · 2007
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsWestern University
Fundersnot available
KeywordsProcess (computing)Leadership styleSample (material)Shared leadershipLeadership studiesTransactional leadershipPublic relationsTransformational leadershipPsychologyBusinessKnowledge managementPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Previous research leaves open which facets of leadership foster the implementation of process innovations. In this study, the authors analyze the effects of delegative-participative and consultative-advisory leadership, respectively, on the implementation success of process innovations. They argue that each of these leadership behaviors entails specific advantages and risks and that therefore the two patterns complement each other. The sample consisted of managers from different organizations. Although the posited main effects of both delegative-participative and consultative-advisory leadership are confirmed, the significant interaction between these two leadership styles has a different direction than the authors hypothesized.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.130
GPT teacher head0.410
Teacher spread0.280 · 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