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Record W2566489875 · doi:10.1111/joms.12258

Rethinking ‘Top‐Down’ and ‘Bottom‐Up’ Roles of Top and Middle Managers in Organizational Change: Implications for Employee Support

2016· article· en· W2566489875 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

VenueJournal of Management Studies · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsOrganizational changeChange management (ITSM)Top-down and bottom-up designBusinessMiddle managementChange detectionKnowledge managementPsychologyMarketingComputer sciencePublic relationsPolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract In this study we integrate insights from ‘top‐down’ and ‘bottom‐up’ traditions in organizational change research to understand employees’ varying dispositions to support change. We distinguish between change initiation and change execution roles and identify four possible role configurations in which top managers (TMs) and middle managers (MMs) can feature in change. We contend that both TMs and MMs can play change initiation and/or change execution roles, TMs and MMs have different strengths and limitations for taking on different change roles, and their relative strengths and limitations are compounded or attenuated based on the specific configuration of change roles. We subsequently hypothesize employee support for change in relation to different TM‐MM change role configurations. Our findings show that change initiated by TMs does not engender above‐average level of employee support. However, change initiated by MMs engenders above‐average level of employee support, and even more so, if TMs handle the change execution.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.053
GPT teacher head0.272
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