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Record W2810027300 · doi:10.5430/ijba.v9n4p45

Review of Strategic Planning Model in Higher Education: The OMC Model

2018· article· en· W2810027300 on OpenAlexvenueno aff
Mubarak Pasha, Mullaicharam Bhupathyraaj

Bibliographic record

VenueInternational Journal of Business Administration · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsStrategic planningProcess (computing)Plan (archaeology)Management scienceInstitutionInstitutional researchProcess managementStrategic thinkingComputer scienceStrategic financial managementHigher educationBusinessPolitical scienceSociologyEconomicsMarketingSocial science

Abstract

fetched live from OpenAlex

The concept of strategic planning has extensively been used to formulate institutional objectives of higher education institutions into time bound deliverables. Although there is a general agreement on the conceptual note on the strategic planning process, the differences are conspicuous in its internal process of transformation from strategic formulation to implementation. Consequently, models that apply to higher education institutions have been drawn up in the management sciences in the last quarter of the twentieth century. However, the format for institutional review of strategic planning is still in its infancy although its review constitutes a conspicuous phase of institutional planning. The foregoing discussion is intended to prescribe a general format for an institutional review of a strategic planning model. It runs on the hypothesis that the review has three phases, though not mutually exclusive, viz. review of the framework, review of the process, and review of the outcome. The paper under discussion is an attempt to develop a new logical framework for the review of the strategic plan of an educational institution. The model is labelled as the OMC model as it was developed for and subsequently used in Oman Medical College.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.173
GPT teacher head0.417
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

Citations0
Published2018
Admission routes1
Has abstractyes

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