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Record W2799538804 · doi:10.1002/pad.1823

The impact of employee perception on the successful institutionalisation and implementation of performance management systems in developing countries: The perspective from Ghana's public service

2018· article· en· W2799538804 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.

Bibliographic record

VenuePublic Administration and Development · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInstitutionalisationPerceptionDeveloping countryPublic sectorPerspective (graphical)BusinessPublic relationsValue (mathematics)Public serviceService (business)MarketingPublic economicsEconomic growthPolitical scienceEconomicsPsychology

Abstract

fetched live from OpenAlex

Summary Performance management (PM) has become a key instrument in the quest to ensure optimal operations by organisations in the public sector. Some scholars, though, believe that PM has failed because of employees' negative perception and management's exclusion of employees from its development. Studies on the relationship between employee perception of PM and its effectiveness in the public sector are limited. We argue that management must value employee perception more highly than they do at present because it is unlikely employees would be willing to take an active part in implementing a change with which they disagree or that they see as having no value. This study examines the effect of employees' perception on the institutionalisation and implementation of PM in developing countries, with specific reference to Ghana.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.551

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.027
GPT teacher head0.276
Teacher spread0.249 · 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