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Record W2146051381 · doi:10.5430/jms.v3n4p65

Model and Practice of Strategic Policy Process in Indonesia: Case Study Strategic Management in Indonesian Central Government (2009-2012)

2012· article· en· W2146051381 on OpenAlexvenueno aff
Achmad Nurmandi

Bibliographic record

VenueJournal of Management and Strategy · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsIndonesianStrategic planningGovernment (linguistics)Process managementProcess (computing)CasualPlan (archaeology)BusinessStrategic controlLocal governmentIndonesian governmentStrategic financial managementManagement sciencePublic administrationPolitical scienceComputer scienceMarketingEngineeringLaw

Abstract

fetched live from OpenAlex

Since 1998, the Indonesian government had introduced an approach for Strategic Management under Government Regulation No. 108/200 the government has not evaluated experiences with this strategy. However, in 2009, the administration of President Yudhoyono introduced a new approach entitled Rencana Pembangunan Jangka Menengah (RPJMD) –Medium Term Development Planning. The interesting question regards the compliance of government with this strategic plan. In other words, is the implementation of the strategic plan proceeding? In this paper, both writers investigate experiences with the attempt to introduce the model and practice of Strategic Management in the Indonesian public sector, particularly the aspects of process and tools. The Research method used in this research is historical and descriptive using the casual loop model of system dynamics method. The study found that the model of strategic planning applied by the government was a linear process model a linked to key success factors of leadership, professional coordination among governmental units, and monitoring of the complete process and its instruments: planning, implementation and evaluation.

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 categoriesMeta-epidemiology (narrow)
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 score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.037
GPT teacher head0.283
Teacher spread0.246 · 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.

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
Published2012
Admission routes1
Has abstractyes

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