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Record W1590095962 · doi:10.1108/17542730810867236

Performance measurement by TQM adopters

2008· article· en· W1590095962 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe TQM Journal · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsTotal quality managementExcellenceEarly adopterSample (material)StatisticDescriptive statisticsQuality (philosophy)MarketingBusinessKnowledge managementOperations managementComputer scienceEngineeringStatisticsMathematicsService (business)

Abstract

fetched live from OpenAlex

Purpose Organizations wishing to implement TQM face unavoidable profound changes in performance measurement and are in need of guidance and better understanding of the role of different performance measurement methods and systems. The objective of this paper is therefore to provide guidance for future TQM adopters through investigation of existing practices implemented by a group of finalists in the total quality category of Canada Awards for Business Excellence. Especially the usage and perceived appropriateness of different methods are of interest. Design/methodology/approach A sample of finalists in the total quality category of Canada Awards for Business Excellence was surveyed. The data were collected either through in‐depth personal interviews or by mail/phone using a questionnaire. Next, descriptive statistical techniques were used to analyze the data. T‐statistic tests were performed in order to determine the significance of the results. Findings Regarding the extent of use and appropriateness of the traditional and TQM‐related performance measures (PMs) and systems/methods (PMS) found in TQM environment, the findings reported that PMs and PMS, used and considered appropriate by TQM adopters, are predominantly process‐oriented (process sequence flow charts, Pareto chart, cause and effect diagram), long‐term‐oriented (market research/customer survey, percentage of sales from new products and absolute market share), and customer‐oriented (number of complaints, percentage on‐time delivery, overall customer satisfaction). Research limitations/implications The small sample limited exclusively to finalists in the total quality category of Canada Awards for Business Excellence may be a limitation. Practical implications This research provides guidance for companies considering implementation of TQM or in the process of adopting TQM with regard to the design of a performance measurement system that would support their TQM efforts successfully. Originality/value This research is looking at extent of use of performance measures and methods and at their perceived appropriateness by TQM adopters at the same time. Thanks to this approach it provides valuable insights into performance measurement in TQM both for academics and for practitioners.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.053
GPT teacher head0.207
Teacher spread0.154 · 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