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Record W4408119897 · doi:10.1016/j.ijme.2025.101150

Innovations in the case method of teaching management, 2000–2024: A scoping review

2025· review· en· W4408119897 on OpenAlexaff
Fengli Mu, James E. Hatch

Bibliographic record

VenueThe International Journal of Management Education · 2025
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsWestern University
Fundersnot available
KeywordsComputer scienceProcess managementBusinessKnowledge management

Abstract

fetched live from OpenAlex

Beginning in the Harvard Business School over 100 years ago, the case method of training management students is now widely used throughout the world. While retaining its core philosophy the original version of the case method has been modified repeatedly. This has been necessitated due to the challenges of implementing the method in a variety of contexts; especially the changing nature of the student body, and advances in technology. The purpose of this paper is to review in one place the more recent innovations in the case method of teaching in business schools and the motivation for these innovations as found in the academic literature since the dawn of the 21st century. We also speculate on some of the teaching innovations we can anticipate in future. • Since the turn of the century there have been many innovations in the classic case method. • Innovations stimulated by internationalization, changing student body and technology change. • Paper identifies five broad classes of innovations depending on the problem they are solving. • It also speculates on possible future case method teaching innovations.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.767
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.045
GPT teacher head0.418
Teacher spread0.373 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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