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Record W2789418750 · doi:10.1177/0021886318757997

Measuring the Behavioral Properties of Commitment and Resistance to Organizational Change

2018· article· en· W2789418750 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Applied Behavioral Science · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsCarleton UniversityCumulative Environmental Management Association
Fundersnot available
KeywordsEmic and eticResistance (ecology)PsychologyOrganizational changeConfirmatory factor analysisSocial psychologyPerspective (graphical)Organizational commitmentChange management (ITSM)Government (linguistics)Applied psychologyPublic relationsMarketingBusinessSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The goal of this study was to develop and validate behavioral measures of employees’ commitment and resistance toward organizational change. The scales were developed using an “imposed etic–emic–derived etic” perspective, the act frequency approach, principal components and confirmatory factor analysis. Five Canadian government departments participated across the three stages of the study. The measures were tested in four departments ( N = 583). Both scales were found to be valid and reliable. This study supports the following conclusions. First, resistance to change may not be as conceptualized in the management literature (i.e., strategies or behaviors used by employees to slow down or avoid the implementation of organisational change). Rather, our findings suggest that employees resist change by “voicing their concerns about change.” Second, only those employees who are committed to the change are likely to make the effort to “voice their concerns” to those above them in the hierarchy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.446

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.076
GPT teacher head0.267
Teacher spread0.192 · 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