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Record W2091473482 · doi:10.1108/17542731111097506

Synergies in standardized management systems: some empirical evidence

2010· article· en· W2091473482 on OpenAlexaff
Martí Casadesús Fa, Stanislav Karapetrović, Iñaki Heras

Bibliographic record

VenueThe TQM Journal · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Management Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQuality management systemCertificateBusinessQuality (philosophy)OriginalityQuality of analytical resultsOperations managementProcess managementQuality managementEmpirical examinationComputer scienceAccountingMarketingEconomicsActuarial scienceService (business)

Abstract

fetched live from OpenAlex

Purpose Management system standards (MSSs) have spread in an unprecedented manner in the last few years. Thus, there are now many companies that rely on more than one such standard to establish the criteria for organizational management systems (MSs). The objective of this article is to analyze the existence of possible synergies in the application of a wide range of MSSs through an examination of the benefits obtained from the implementation of one particular MSS, namely ISO 9001. Design/methodology/approach The starting point is a set of results from an empirical survey of more than 500 Spanish companies. Specifically, the differences between the benefits recognized by companies implementing a single MSS, namely ISO 9001:2000 for quality MSs, and those that implemented a second standard, in this case ISO 14001:2004 for environmental MSs, are discussed. An additional comparison is made between those organizations that have integrated the two MSSs into a single MS and those organizations that have developed separate quality and environmental MSs. Findings The results show that organizations with multiple MSSs actually perceive more benefits from the implementation of ISO 9001 than those that implemented that standard only. Furthermore, organizations with integrated management systems (IMSs) also report higher levels of ISO 9001 benefits compared to those organizations with the ISO 9001 certificate only, but generally not when compared to their counterparts with separate standardized MSs. Originality/value Relatively little is known about the synergies yielded by the use of multiple MSSs or by integrating standardized MSs in organizations. Using the benefits obtained from the implementation of ISO 9001 as a measure, this paper contributes empirical results from a large number of organizations to the study of both of these issues. Therefore, it is of value to researchers and practitioners in quality, environmental, safety, security and other such MSs, but also specifically in the area of IMSs.

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)0.030
metaresearch head score (Gemma)0.131
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.030
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.131
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0080.008
Science and technology studies0.0010.005
Scholarly communication0.0050.006
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.068
GPT teacher head0.307
Teacher spread0.239 · 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 designObservational
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

Citations54
Published2010
Admission routes1
Has abstractyes

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