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Record W4382797188 · doi:10.1111/emre.12585

External information seeking and organizational ambidexterity in SMEs: Does empowerment climate matter?

2023· article· en· W4382797188 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

VenueEuropean Management Review · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
FundersRégion Auvergne-Rhône-Alpes
KeywordsAmbidexterityBusinessEmpowermentOrganisation climateKnowledge managementMarketingPsychologySocial psychologyComputer scienceEconomics

Abstract

fetched live from OpenAlex

Abstract Access to external information is considered crucial to achieving organizational ambidexterity (OA) while presenting specific challenges for SMEs due to their limited resources. However, little is known about how SMEs can best benefit from their external information‐seeking activities for OA purposes, given specific organizational practices. Our paper addresses this research gap by analyzing the effects of external information seeking (i.e., environmental scanning and external managerial networking) on OA while considering the moderating role of empowerment climate in SMEs. Based on a survey administered to CEOs of 1439 French manufacturing SMEs, our main results indicate that empowerment climate positively moderates the effect of scanning breadth on OA but negatively moderates the effect of networking depth. This suggests that SMEs should emphasize external information‐seeking activities that are appropriate to their level of empowerment climate so that the positive effects on OA can be fully realized.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.010

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 head0.010
GPT teacher head0.228
Teacher spread0.219 · 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