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Record W2790328074 · doi:10.5539/ibr.v11n3p76

Adaptive Cost Accounting Control: Issues in Realizing Deming Synergy

2018· article· en· W2790328074 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Business Research · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicOperations Management Techniques
Canadian institutionsnot available
FundersState University of New York
KeywordsComputer scienceRisk analysis (engineering)Control (management)Process managementCost accountingOperations managementBusinessOperations researchAccountingEconomicsEngineering

Abstract

fetched live from OpenAlex

We report on a consultation addressing the re-configuration of a Standards Cost Accounting System of a major MNC. We identified two fundamental theoretical issues pertinent to this re-configuration: Their Standards Cost Accounting [SCA] System was (1) not adaptive within their control time frame, and (2) the holistic systemic protocols espoused by W. Edwards Deming were not used to condition the decision-making framework addressing control. We developed an adaptive Decision Support System [SCA:DSS] that offered the following integrated systemic features: (i) The SCA:DSS is parametrized using the Marketing/Sales sub-budget as approved by corporate-level management and (ii) is used to set the control standards for direct Materials & Labor costs and ABC related allocations, (iii) A detailed interactive profiling of production activity is produced at a time when adaptive corrective actions would still be reasonably possible, and (iv) Adaptive: Best, Stasis and Corrective Action Cases regarding the effect of these corrective actions on the contribution margin are displayed. However, even given the adaptive design features and the explicit designs to effect holistic integration over the pilot division and the central headquarters of the firm, the SCA: DSS failed to be implemented. We offer valuable insights into this failure-to-launch that may be indispensable in effecting a synergetic environment where adaptive holistic cost control may be realized. In this paper all of the technical functionalities of the SCA: DSS are detailed and a working illustration is provided. The SCA: DSS is offered as a free download without restrictions to its use.

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)0.009
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.248
GPT teacher head0.524
Teacher spread0.276 · 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