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Record W2006997688 · doi:10.3200/socp.147.3.299-315

The Dynamic Relation Between Organizational and Professional Commitment of Highly Educated Research and Development (R&D) Professionals

2007· article· en· W2006997688 on OpenAlexaff
Jae Yoon Chang, Jin Nam Choi

Bibliographic record

VenueThe Journal of Social Psychology · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrganizational commitmentSocializationPsychologyOrganization developmentOrganizational changeOrganizational learningAffective events theoryPublic relationsSocial psychologyKnowledge managementPolitical scienceJob performanceJob satisfaction

Abstract

fetched live from OpenAlex

Researchers of the work-related commitment of professionals have investigated the possibility of conflict between organizational and professional forms of commitment. Drawing on the organizational socialization literature, the authors hypothesized that both forms of commitment would change with increasing organizational tenure. Specifically, the authors proposed that the patterns of change of the 2 forms of commitment would be complementary: Organizational commitment would take a U-shaped pattern of change, whereas professional commitment would take an inverse U-shaped pattern. The results, based on data collected from a sample of 204 research and development (R&D) professionals with PhDs, confirmed the U-shaped pattern of organizational commitment and the complementary relation between the 2 forms of commitment during the first 14 months after organizational entry. These findings suggest the importance of maintaining a balance between organizational and professional commitment and provide a method for identifying the critical period for interventions designed to increase retention of R&D professionals during their early organizational socialization.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.066
GPT teacher head0.410
Teacher spread0.344 · 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.

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

Citations51
Published2007
Admission routes1
Has abstractyes

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