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Record W2993531882

EVIDENCE ON EFFORTS TO ALIGN ORGANIZATIONAL STRUCTURES AND BUSINESS STRATEGIES

2010· article· en· W2993531882 on OpenAlexaff
Than Lam, Teresa Lao

Bibliographic record

VenueRePEc: Research Papers in Economics · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsCorporationCorporate governancePublic relationsLeadership studiesLeadership styleKnowledge managementOfficerGrounded theoryPolitical scienceManagementBusinessSociologyQualitative researchSocial science
DOInot available

Abstract

fetched live from OpenAlex

This paper is based upon a research study to determine the significance of managerial leadership practices in a corporation’s transformation during the period from 2004 to 2008. The study attempted to discover how managerial leadership practices effectively advance horizontal integration of an inclusive and collaborative organization. The study was grounded on propositions involving organizational development roles, IT governance, and collaborative organizations. Triangulated inquiry from peerreviewed documents and a survey of 24 participants who included 2 women and 22 men comprising a chief information officer, 7 functional managers, 8 project managers, and 8 engineers of a corporation in the Northeastern United States confirmed the propositions. The findings indicated that horizontal integration has begun in transition from being separate toward becoming collaborative. This paper will reveal how disparate images that are subculture bound could be enhanced by the Full Spectrum Leadership model involving collaborative and integrative leadership practices.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.058
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicInformation Technology Governance and StrategyFrench-language works237,207