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Record W2165074919 · doi:10.5430/jms.v4n3p39

Strategic Representation of an Abstract Reality: Spiraling Relations between Organizational Culture and Innovativeness

2013· article· en· W2165074919 on OpenAlexvenueno aff
Ahmet Emre Demirci

Bibliographic record

VenueJournal of Management and Strategy · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational cultureAffect (linguistics)BusinessSample (material)Representation (politics)Knowledge managementPublic relationsMarketingSociologyPolitical scienceComputer sciencePolitics

Abstract

fetched live from OpenAlex

Innovation is still one of the most debated topics among the academics and business professionals. The question of how organizations innovate captures attention from many disciplines and leads to extensive amount of research. Although there are many variables that affect an organization’s innovative performance, organizational culture can be considered as a key issue as it is strongly associated with the values, attitudes, behaviors and organizational practices. As organizations have different cultural profiles and, in many cases, competing cultural values exist within the organization simultaneously, it is difficult to build one-dimensional linkages about the relations between organizational culture and innovativeness. This study aims to analyze the relations between innovativeness and four different organizational cultures including team, entrepreneurial, hierarchical and rational cultures. A sample of 371 surveys was collected from five leading companies operating in the chemicals industry in Eskisehir, Turkey.

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0060.005
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.289
Teacher spread0.232 · 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 designTheoretical or conceptual
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

Citations15
Published2013
Admission routes1
Has abstractyes

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