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Record W2144695044 · doi:10.5430/jms.v1n1p68

Reassessing the Curriculum-Competency Alignment in MBA Programs

2010· article· en· W2144695044 on OpenAlex
Kamal Jain, Kunal Kamal Kumar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Management and Strategy · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumSalaryMedical educationMathematics educationPsychologyPolitical sciencePedagogyMedicine

Abstract

fetched live from OpenAlex

The paper seeks to assess the alignment between the focus of the MBA curricula and the managerial competencies required on the job, across two different nations: India and USA. The data for the study was gathered by visiting the website of business schools which were ranked on the basis of the placement figures as reported by the surveys done by Wall Street Journal (b-schools in India) and Financial Times (b-schools in USA). The b-schools were grouped into three categories: Top tier b-schools and second tier b-schools from India, and top tier b-schools from USA. The core courses in the MBA programs were identified and coded to fall under distinct competency categories. Data was coded with high intercoder reliability and put through statistical tests to draw conclusions. The study found that there indeed is a misalignment between required course curriculum and managerial competencies across the three groups of business schools, and that there is no difference in the required curricula across different tiers of b-schools. It was also found that no correlation exists between average salary offerings and the required curricula.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.610

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 communication0.0010.001
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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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