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Record W1973190398 · doi:10.1177/1470595808101157

The Transfer of Ubuntu and Indaba Business Models Abroad

2009· article· en· W1973190398 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

VenueInternational Journal of Cross Cultural Management · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMultinational corporationOptimal distinctiveness theoryHuman resource managementBusinessTanzaniaInternational businessEconomic growthManagementSociologyEconomics

Abstract

fetched live from OpenAlex

This article studies the transfer of South African management business models abroad. It examines the case of four South African multinational companies and the ways that they implement distinctive business models of human resource management strategies on service sector in Tanzania. The article begins by looking at MNCs from emerging economies and at the distinctiveness of their national institutional systems, as well as the ways they attempt to strike a balance between global integration and local differentiation in managing HRM practices abroad. Based on a case study conducted in ABSA, Standard Bank (Stanbic), South Africa-Tanzania Vodacom, and Sanlam African Life Assurance services in Tanzania, this article demonstrates how South African MNCs in this particular sector internationalize their HRM strategies by incorporating the cross cultural interface management practices of Ubuntu and Indaba and those of the host nation's characteristics into their subsidiary operations. The article concludes by illustrating how diverse forms of hybrid HRM strategies have enabled emerging South African organizational service industries to develop high-performance work practices in the midst of global competitiveness.

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 categoriesnone
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 score0.713
Threshold uncertainty score0.685

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 communication0.0010.001
Open science0.0010.000
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 head0.021
GPT teacher head0.369
Teacher spread0.349 · 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