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Record W2883280472 · doi:10.1142/s136391961950021x

INDIVIDUAL AMBIDEXTERITY AND ANTECEDENTS IN A CHANGING CONTEXT

2018· article· en· W2883280472 on OpenAlex
Yi Zhang, Feng Wei, Constance Van Horne

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 Innovation Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAmbidexterityConstruct (python library)Context (archaeology)Extant taxonWork (physics)Knowledge managementBusinessPsychologyComputer science

Abstract

fetched live from OpenAlex

People and organisations should align their current goals and adapt to change to maintain and sustain their competitive advantages. That is the idea behind ambidexterity. Extant research has largely focused on ambidexterity at the organisational and unit levels, although individual ambidexterity is perhaps equally important to organisational success. To shed some light on the issue, this paper argues that two antecedents, handling work stress and trust building, influence individual ambidexterity and individual performance. Two hundred forty-five paired questionnaires were collected, and a construct of four items of ambidextrous behaviour was used to measure individual ambidexterity. The empirical findings indicate that an individual’s skills in handling work stress in performance management, building trust for social support and practicing individual ambidexterity, result in high performance. Individual ambidexterity mediates two of these positive relationships, between handling work stress and performance, and between trust building and performance. The research and practical implications are also discussed.

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 score0.797
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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