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Record W2586737984 · doi:10.1111/joms.12266

The Scaffolding Activities of International Returnee Executives: A Learning Based Perspective of Global Boundary Spanning

2017· article· en· W2586737984 on OpenAlex
Michael Roberts, Paul W. Beamish

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 Management Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsWestern UniversityMacEwan University
Fundersnot available
KeywordsBoundary spanningPerspective (graphical)Boundary (topology)NegotiationKnowledge managementPublic relationsBusinessSociologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Abstract This study contributes to the literature on global boundary spanning by taking a learning perspective that positions the boundary spanner as an active change agent. Grounded in a practice‐based theory of knowledge, it considers boundary spanning as the negotiation of knowledge and relationships across fields of practice. We argue that global boundary spanning is a long‐term commitment to help internal members become aware of foreign knowledge practices, see these practices as valuable, and adopt them internally. We frame the activities of the boundary spanner within a scaffolding framework that theorizes boundary spanning as a combination of ability, persistent willingness, and opportunity. Here scaffolding refers to the cognitive, relational, and material supports enacted by boundary spanners that facilitate organization members’ engagement in practices that allow for the awareness, capacity building, and commitment to adoption of foreign practices. We draw on interviews from international returnee managers employed in large Korean financial firms.

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)0.001
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: none
Teacher disagreement score0.832
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.030
GPT teacher head0.318
Teacher spread0.287 · 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