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Record W1979317483 · doi:10.1002/kpm.333

A framework of intellectual capital management based on ISO 9001 quality management system: The case study of ISO 9001 certified public R&D institute

2009· article· en· W1979317483 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

VenueKnowledge and Process Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsCertificationQuality management systemBusinessIntellectual capitalQuality managementProcess managementQuality (philosophy)Process (computing)Knowledge managementEngineering managementComputer scienceManagementMarketingEngineeringEconomics

Abstract

fetched live from OpenAlex

Abstract The purpose of this paper is to present a framework for an effective implementation of intellectual capital (IC) management. The framework is primarily established based on the ISO 9001 quality management system that is an international representative process management approach. Based on the case study of an ISO 9001 certified public in Research and Development (R&D) organization, this study concludes that: (1) the framework helps organizations to identify customers' needs as well as to evaluate customers' perception about the organizations' efforts; (2) various requirements of the framework play a crucial role in building a foundation to continually develop the framework; (3) the framework can encourage ISO 9001 certified organizations to implement IC management by providing similar principles and methodologies. Copyright © 2009 John Wiley & Sons, Ltd.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.053
GPT teacher head0.302
Teacher spread0.249 · 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