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Record W4280556369 · doi:10.32479/irmm.13075

Strategic Leadership Qualities to Enhance the Payment Culture for Municipal Services within an African Context

2022· article· en· W4280556369 on OpenAlexaboutno aff
Prince Chukwuneme Enwereji, Marius Potgieter

Bibliographic record

VenueInternational Review of Management and Marketing · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessStrategic planningStrategic leadershipContext (archaeology)Process (computing)PaymentService (business)Public relationsProcess managementMarketingPolitical scienceFinanceComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to identify the strategic leadership qualities required of municipal role-players to cultivate a payment culture for municipal services in the North West Province in South Africa. A systematic review and comparative study were conducted to compare the strategic competencies of executives in Canada, the United States of America, and the United Kingdom. These are considered leading countries in service provision. The study proposes that municipalities should be visionary and result-driven, and engage people, while collaborating with relevant stakeholders to achieve desired results. The study further recommends that municipal role players adopt strategic leadership to achieve change through a planning and development process that involves assessing future goals and mapping specific actions. Furthermore, municipalities should achieve their goals through a strategic process of analysis, formulation, implementation, and evaluation, all of which entail a number of constituent tasks.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.044
GPT teacher head0.289
Teacher spread0.245 · 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 designTheoretical or conceptual
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

Citations2
Published2022
Admission routes1
Has abstractyes

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