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Record W2990824210 · doi:10.1002/smj.3115

Strategic renewal: Beyond the functional resource role of occupational members

2019· article· en· W2990824210 on OpenAlexaff
Krista L. Pettit, Mary Crossan

Bibliographic record

VenueStrategic Management Journal · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsLeverage (statistics)Identity (music)BusinessResource (disambiguation)Competition (biology)Work (physics)Strategic managementPublic relationsMarketingPolitical scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Research summary In this qualitative study of strategic renewal at a North American news organization we reveal that the treatment of occupational members as resources in strategy literature is necessary, but insufficient. Their activities are critical for organizational survival and competition but also the work needed to maintain their occupational identity. Furthermore, the prevailing research evidence that occupational members impede strategic renewal is incomplete. Our study challenges the narrow view of occupational members as resources that constrain strategic renewal by illustrating how occupational identity “work” is instrumental in facilitating and disrupting strategic renewal. Our findings emphasize the importance of adopting broader definitions of work than the functional definition used in strategic renewal research. We also highlight how the activities of nonmanagerial actors contribute to strategic renewal. Managerial summary During times of change, research highlights how occupational members such as doctors, nurses, engineers, and academics, disrupt and resist change. Our study demonstrates that the same cause of disruption—sustaining their distinctive occupational identity—is critical in facilitating strategic renewal. For managers, we illustrate how and why this occurs and provide practical guidance to leverage this understanding while managing change in occupationally‐dominated organizations.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.223
Teacher spread0.197 · 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; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations28
Published2019
Admission routes1
Has abstractyes

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