MétaCan
Menu
Back to cohort
Record W2072591245 · doi:10.1002/tie.20195

DHL Bangladesh: Managing headquarters‐subsidiary relations. Comment on DHL Bangladesh: Managing headquarters‐subsidiary relations

2008· article· en· W2072591245 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThunderbird International Business Review · 2008
Typearticle
Languageen
FieldComputer Science
TopicMobile Agent-Based Network Management
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSubsidiaryBusinessHuman resourcesHuman resource managementPreferenceHuman resource management systemWorkloadStakeholderIndustrial organizationManagementOperations managementMarketingMultinational corporationEconomicsFinance

Abstract

fetched live from OpenAlex

Abstract This case revolves around Nurul Rahman, a DHL Bangladesh (DHLB) manager who must recommend which of the two human resource information systems (HRISs) DHLB should adopt to alleviate the escalating workload on its human resources (HR) department. The choice between these systems is difficult: the HRIS favored by regional headquarters is significantly more expensive and likely unsuited to DHLB's unique needs, whereas the HRIS favored by DHLB—although likely effective —seems to be incapable of meeting headquarters' strong preference for streamlining human resource systems across disparate Asian subsidiaries. Rahman must carefully balance conflicting stakeholder interests and do so against the backdrop of a politically powerful headquarters that can “make or break” managerial careers. © 2008 Wiley Periodicals, Inc.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.030
GPT teacher head0.259
Teacher spread0.230 · 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