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Record W4391602831 · doi:10.4018/ijkm.336925

Knowledge Management Practice and Organizational Performance in the Context of International Schools

2024· article· en· W4391602831 on OpenAlex
T.B.C. da Silva, Nuša Fain

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 Knowledge Management · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsCarleton University
Fundersnot available
KeywordsContext (archaeology)Knowledge managementOrganizational learningBusinessComputer scienceHistory

Abstract

fetched live from OpenAlex

This exploratory study delves into three private international schools' knowledge management (KM) practices amidst the Covid-19 pandemic. Utilizing Gold et al.'s KM framework, the research examines the applicability of this model in the unique industrial context of international schools and explores the potential influence of KM on organizational performance within this context. The findings highlight that teachers proficient in articulating KM processes and infrastructure perceive their schools as more successful in the international education landscape. As schools transition back to in-person learning, leaders and stakeholders are urged to evaluate their KM practices and consider targeted initiatives to cultivate specific competencies, fostering a sustainable competitive advantage and enhancing both financial and non-financial firm performance. This study's originality lies in examining KM practices in international schools during the pandemic, stimulating conversations among school leaders and stakeholders to optimize knowledge management in the post-pandemic era.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.335
Teacher spread0.315 · 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