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Record W3129866874 · doi:10.5267/j.ac.2021.2.001

Integral evaluation as the basis of analytical support for managing the competitiveness of socially-oriented retailers

2021· article· en· W3129866874 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

VenueAccounting · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsAnalytic hierarchy processDelphi methodHierarchyIdentification (biology)DelphiBusinessCompetitive advantagePairwise comparisonSample (material)Investment (military)Process (computing)Industrial organizationMarketingComputer scienceEconomicsOperations researchMathematics

Abstract

fetched live from OpenAlex

The advantages of an integral approach to assessing the competitiveness of retailers are substantiated, which allows obtaining a more thorough and versatile informative base for making further managerial decisions to ensure the development of trading business. A new approach to the integral evaluation of the competitiveness of retailers is developed. The list of functional and structural components of competitiveness was substantiated: marketing,financial and investment, material and technical, intellectual and personnel,innovation, logistic and social. It is proposed to use the methodological sequence of competitiveness assessment, which involves the alternate passage of the following stages: construction of an evaluation hierarchy, identification of the levels of the criterion importance, definition of a set of “local vectors” by evaluation criteria, conducting comparative evaluation of competing enterprises, hierarchical synthesis of alternative options for ensuring competitiveness. The methods of an expert survey are used to form an information and analytical base. Using the Saaty’s analytic hierarchy process and the Delphi method of an expert survey, a matrix of pairwise comparisons of the criteria of the retailers’ competitiveness is formed. The Gallup Institute methodology is used to form the sample of enterprises. A matrix of rating positions of the socially-oriented retailers is developed to enable evaluation.On the basis of the obtained results – analytical support of the policy(regarding the competitiveness level, state of security and coefficients of weight of its functional and structural components), the strategic principles of managing the competitiveness of socially-oriented retailers. A matrix of strategic decisions on managing the competitiveness of socially-oriented retailers is developed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.265
Teacher spread0.244 · 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