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Record W2891753138 · doi:10.24251/hicss.2019.781

Change Agents and Resilient Practices: The Power of Symbolic Capital in a Post-Merger Integration Context

2019· article· en· W2891753138 on OpenAlexafffund
Dragos Vieru, Suzanne Rivard, Ulrika H. Westergren, Simon Bourdeau

Bibliographic record

VenueProceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversité TÉLUQHEC MontréalUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsConsolidation (business)Knowledge managementContext (archaeology)Symbolic capitalMetropolitan areaPsychological resiliencePublic relationsBoundary (topology)BusinessPerspective (graphical)Computer scienceSociologyPolitical sciencePsychologySocial psychologyArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

This study analyzes the interactions among mandated change agents within a post-merger integration context and examines the implications of their practices as they attempt to engage with others in a cross-boundary information system implementation project. We examine the case of the Metropolitan Healthcare Center, where three previously independent centers were merged into one, and follow the individuals who were appointed to ensure the integration of a new, mutual information system across the three center sites. We draw on a practice perspective and the notion of symbolic capital to shed light on post-merger practices and their outcomes. Our analysis suggests that one of the change agent’s practices of boundary consolidation through influence tactics were legitimized through discourses of authoritative knowledge and ‘group-making’. This facilitated the construction of symbolic boundaries between the merging parties, thus contributing to the resilience of pre-merger practices despite the planned intention to create change.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.006
Open science0.0050.001
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 head0.055
GPT teacher head0.293
Teacher spread0.238 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System SciencesSame topicFamily Business Performance and SuccessionFrench-language works237,207