MétaCan
Menu
Back to cohort
Record W1982541304 · doi:10.1177/0021886303256270

Strengthening Organizational Change Processes

2003· article· en· W1982541304 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

VenueThe Journal of Applied Behavioral Science · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOrganizational changeProcess (computing)Organization developmentChange management (ITSM)Organizational studiesOrganizational learningKnowledge managementOrganizational commitmentOrganizational behavior and human resourcesOrganizational effectivenessProcess managementBusinessPsychologyPublic relationsPolitical scienceSocial psychologyComputer scienceMarketing

Abstract

fetched live from OpenAlex

Although the existing organizational change literature identifies the steps in organizational change, it has not conceptualized those steps to provide a comprehensive process model. In particular, the relationships between the change process at the organizational level and the change processes at the inherent individual and group levels have not been fully described. Using a case study and related data from a major organizational change effort in a corporate audit department of a U.S. bank, this article explores change processes by answering two questions: (a) What constitutes a comprehensive change process as initiatives move from the organizational level to the group and individual levels of implementation? and (b) What does an analysis of the individual and group change processes in large scale organizational change add to our understanding of organizational change processes? This article proposes a more detailed and complete change process model and provides further insight into the differences and transition among the change processes at the individual, group, and organizational levels.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
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 head0.039
GPT teacher head0.253
Teacher spread0.214 · 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