Designing a Meritocracy System in Public Organizations Using Competency-Based Management and Performance Analytics

Public organizations need appointment and advancement systems that connect demonstrable capability with public service results while protecting equal opportunity and administrative impartiality. Competency frameworks often describe desirable behavior without specifying how evidence should influence employment decisions. Performance dashboards can make decisions more consistent but may also reward favorable assignments, reproduce historical disadvantage, or obscure political intervention. This article develops an integrated meritocracy system through a targeted synthesis of recent academic and institutional publications from 2024-2026 and an explicit design analysis. The study produces a role-based competency architecture, a contextualized performance measurement model, an auditable decision process, and a prospective validation protocol. Its central design principle is to distinguish eligibility, evidence sufficiency, comparative assessment, and final authorization. Integrity requirements and essential competencies operate as noncompensatory conditions; a transparent composite supports comparison only after these conditions are satisfied. A worked example with six entirely hypothetical candidates demonstrates score calculation, uncertainty bounds, sensitivity to policy weights, and the consequences of missing evidence. The example shows why a small numerical advantage cannot establish a defensible appointment when rankings reverse under plausible weighting changes. The proposed system links decisions to development opportunities, independent review, documented reasons, and monitoring of distributional effects. The results are analytical design outputs, not findings from an implemented organization or evidence of causal effectiveness. Future evaluation should examine measurement validity, procedural justice, service quality, and administrative costs through a staged pilot with independent assessment. The article contributes a practical account of meritocracy as a governed evidentiary process rather than an unqualified ranking of employees

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23927665
Primary Topic
Public Policy and Administration Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing a Meritocracy System in Public Organizations Using Competency-Based Management and Performance Analytics

Reza Salimi Beni
Zenodo (CERN European Organization for Nuclear Research)
Public Policy and Administration Research
article

Designing a Meritocracy System in Public Organizations Using Competency-Based Management and Performance Analytics

Reza Salimi Beni
article en

Abstract

Public organizations need appointment and advancement systems that connect demonstrable capability with public service results while protecting equal opportunity and administrative impartiality. Competency frameworks often describe desirable behavior without specifying how evidence should influence employment decisions. Performance dashboards can make decisions more consistent but may also reward favorable assignments, reproduce historical disadvantage, or obscure political intervention. This article develops an integrated meritocracy system through a targeted synthesis of recent academic and institutional publications from 2024-2026 and an explicit design analysis. The study produces a role-based competency architecture, a contextualized performance measurement model, an auditable decision process, and a prospective validation protocol. Its central design principle is to distinguish eligibility, evidence sufficiency, comparative assessment, and final authorization. Integrity requirements and essential competencies operate as noncompensatory conditions; a transparent composite supports comparison only after these conditions are satisfied. A worked example with six entirely hypothetical candidates demonstrates score calculation, uncertainty bounds, sensitivity to policy weights, and the consequences of missing evidence. The example shows why a small numerical advantage cannot establish a defensible appointment when rankings reverse under plausible weighting changes. The proposed system links decisions to development opportunities, independent review, documented reasons, and monitoring of distributional effects. The results are analytical design outputs, not findings from an implemented organization or evidence of causal effectiveness. Future evaluation should examine measurement validity, procedural justice, service quality, and administrative costs through a staged pilot with independent assessment. The article contributes a practical account of meritocracy as a governed evidentiary process rather than an unqualified ranking of employees

Zenodo (CERN European Organization for Nuclear Research)
Islamic Azad University, Tehran (IR)
Openalex Percentile: Top 9%
Public Policy and Administration Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon