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Record W1626008096 · doi:10.5539/ass.v11n20p160

Peculiarities of Staff Performance Appraisal with the Use of Balanced Scorecard in the Area of Public and Corporate Management

2015· article· en· W1626008096 on OpenAlexvenueno aff
Raisya Akmaeva, Oksana Mineva, Aleksandr P. Lunev

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanking, Crisis Management, COVID-19 Impact
Canadian institutionsnot available
Fundersnot available
KeywordsBalanced scorecardContext (archaeology)Performance appraisalBusinessProcess managementPerformance managementFace (sociological concept)Strategic managementGlobalizationAccountingManagementOperations managementSociologyPolitical scienceEconomicsMarketingSocial science

Abstract

fetched live from OpenAlex

The total globalization of all aspects of the modern society's life changes paradigm of the traditional management. In contrast to the views of F. Taylor, H. Gantt, P. Drucker, R. Kaplan, D. Norton and other recognized guru of management, in the modern context the public and corporate management face a primary target to develop organization’s internal resources. It becomes more and more important to maximize the use of internal potential which is possible only with the application of up-to-date management innovations such as the balanced scorecard strategy and KPI which is a basis of the modern appraisal of staff performance.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.126
GPT teacher head0.273
Teacher spread0.147 · 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 teacher head, 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

Citations0
Published2015
Admission routes1
Has abstractyes

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