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Record W2010596023 · doi:10.1177/0021886307307345

Social and Temporal Influences on Interpretations of Organizational Identity and Acquisition Integration

2007· article· en· W2010596023 on OpenAlexaff
Samia Chreim

Bibliographic record

VenueThe Journal of Applied Behavioral Science · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAmbiguityNarrativeIdentity (music)Context (archaeology)Social identity theorySocial psychologyOrganizational identityMeaning (existential)Social identity approachPsychologySocial groupSociologyOrganizational commitmentLinguisticsAesthetics

Abstract

fetched live from OpenAlex

Using a narrative approach, this study analyzes interpretations of organizational identity that emerged among members of autonomous groups brought together as a result of a double acquisition. Comparative analysis of a first set of interviews indicates divergent narratives emerged in two divisions established after the acquisition. Members' meaning construction related to organizational identity focused on such alternative themes as identity enhancement or threat, identity stability or ambiguity, and identity continuity or discontinuity. Differences in interpretations were influenced by the (a) social context that included such elements as encounters with other groups, integration and segregation tactics employed, and level of communication and control from higher level management and (b) temporal context evoked by members as they juxtaposed the past, present, and future identity. Interviews conducted 1 year later indicated changes in the contextual elements and a convergence in the groups' narratives. Implications for the management of acquisitions are presented.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0040.004
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations54
Published2007
Admission routes1
Has abstractyes

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