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Record W1986013296 · doi:10.1108/ijqrm-07-2012-0107

Improving integration of human resources into quality management system standards

2014· article· en· W1986013296 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

VenueInternational Journal of Quality & Reliability Management · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsQuality of analytical resultsQuality management systemCompetence (human resources)Human resourcesBusinessHuman resource managementQuality (philosophy)OriginalityProcess managementQuality managementQuality auditKnowledge managementRisk analysis (engineering)Operations managementEngineering managementAccountingComputer scienceManagement systemEngineeringManagementAuditPsychology

Abstract

fetched live from OpenAlex

Purpose – Little attention has been paid to how quality management systems (QMSs) are optimized by supportive employee behavior. The purpose of this paper is to provide a critical review of the literature on the inclusion of human factors in the ISO 9000 family of standards, identify deficiencies in the standard's current treatment of these issues, and offer recommendations on how human resources (HRs) can be better integrated into these business management standards. Design/methodology/approach – This concept paper presents a survey of both academic and practitioner literature on the topic of HR and its treatment in quality standards. The focus is restricted to consideration of human factors that are specifically identified in the ISO 9001:2008 and ISO 9004:2009 standards. Findings – ISO 9001 and 9004 include some HR topics, but their treatment is insufficient to meet the demands of today's business environment. The recent addition to the ISO 9000 family, ISO 10018 – Quality Management – Guidelines on People Involvement and Competence (ISO, 2012b) will help to address the deficiency if adopted by the marketplace. To improve the usefulness of ISO 9000 standards, the breadth of human factors should be enhanced both extensively to include components of workplace culture and work design and intensively to require more rigorous treatment of the HR considerations already included in the standards. Practical implications – There is a need for more comprehensive consideration of human contributions to quality if organizations are to optimize the value they receive from their HR and their investment on the ISO 9001 QMS. Originality/value – The limited references linking HR and the ISO 9000 series of standards have focussed upon how human factors contribute (or not) to the successful use of the ISO 9000 standards. In contrast, this paper offers a comprehensive and integrative examination of how the ISO 9000 QMS standards could more comprehensively and effectively incorporate HR into a firm's 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.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
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 head0.021
GPT teacher head0.320
Teacher spread0.298 · 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