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Record W2025536870 · doi:10.5539/ass.v4n11p87

From Customer Satisfaction to Citizen Satisfaction: Rethinking Local Government Service Delivery in Malaysia

2009· article· en· W2025536870 on OpenAlexvenueno aff
Hazman Shah Abdullah, Maniam Kalianan

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsLocal governmentCustomer satisfactionService qualityService delivery frameworkBusinessGovernment (linguistics)MarketingPoliticsScope (computer science)Quality (philosophy)Service (business)Public relationsPublic administrationPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

The Producer-Customer Paradigm within which much of the service improvement efforts have been undertaken is a highly circumscribed and problematic paradigm for local government services. It views citizens as customers of local government services and seeks to be more efficient in its delivery through process improvements. While the Producer-Customer Paradigm has spotlighted the service delivery side of the local government, it leaves the policy making and political side of local government, so central to the nature and role of government largely beyond its scope. This artificial but politically convenient truncation or limitation has been soundly criticized in the west for distorting the role of the local citizen and the local government. Citizen satisfaction and not merely customer satisfaction is the key indicator of local government quality. An expanded service quality paradigm i.e. Government-Citizen Model is needed to place service quality within a framework of political and social values. The ultimate test of local government quality is a population which is satisfied as a user (personal satisfaction) and citizen (social satisfaction).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0000.002
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 head0.030
GPT teacher head0.348
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations33
Published2009
Admission routes1
Has abstractyes

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