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Record W2136259212 · doi:10.1142/s0219649209002385

Knowledge Management in a Business-to-Business Context: An Indian Exemplar?

2009· article· en· W2136259212 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

VenueJournal of Information & Knowledge Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsExploitKnowledge managementBusinessContext (archaeology)Knowledge sharingDyadKnowledge transferConceptual frameworkIdentification (biology)Computer science

Abstract

fetched live from OpenAlex

A conceptual framework originating within the Operations Research literature is presented as a means of informing researchers about how they might better understand and exploit knowledge management/sharing/transfer in business-to-business knowledge networks. Preliminary analysis of a recent Indian case study supports the utility of this framework through the identification of facilitators (information systems, mediators) and barriers (distance, organisational) to successful knowledge flow between organisations both domestically and internationally. The ongoing challenge is to increase our understanding of how firms can better balance knowledge protection and sharing such that managers involved in these inter-organisational exchanges can maximise the benefits to both sides of the dyad; especially in emerging markets such as India with different market characteristics, institutional development and business customer behaviours.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.007
Science and technology studies0.0000.000
Scholarly communication0.0010.007
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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