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Record W4402849852 · doi:10.1177/00076503241283270

Hello From the Other Side: External Stakeholder Paradoxes Matter for Organizational Ambidexterity

2024· article· en· W4402849852 on OpenAlexfundaboutno aff
Aparna Venugopal, Rory Donnelly

Bibliographic record

VenueBusiness & Society · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
FundersMitacs
KeywordsAmbidexterityStakeholderBusinessProcess managementKnowledge managementPublic relationsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Organizational ambidexterity (OA)—the simultaneous pursuit of explorative and exploitative innovations—engenders nested (paradoxes manifesting across organizational levels) and knotted paradoxes (intertwined co-occurring paradoxes at the same or across organizational levels). Both nested and knotted paradoxes are managed by internal stakeholders using approaches that are socially constructed by influences emanating from within and beyond an organization. External stakeholders also help shape organizational innovations but their influence on the management of paradoxes has largely been overlooked. In this study, we collected and analyzed data from internal ( n = 19) and external stakeholders ( n = 18) in organizations pursuing explorative and exploitative clean energy transitions at nine Canadian energy utilities. We find that the external stakeholders engage with knotted inclusivity–efficiency and existing–emerging needs paradoxes. Our findings add to OA and business and society literature by revealing how the approaches that internal and external stakeholders adopt for paradox management have implications for each other, and thus OA. We also provide practical insight into how external stakeholder paradoxes can be managed through stakeholder inclusivity and enhanced transparency of innovation plans, with positive implications for OA.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.241
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes2
Has abstractyes

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