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Organizational Behavior

2015· other· en· W4247336100 on OpenAlexaff
Joyce S. Osland, Kay Devine, Marlene E. Turner

Bibliographic record

VenueWiley Encyclopedia of Management · 2015
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsAthabasca University
Fundersnot available
KeywordsMultinational corporationGlobalizationOrganizational cultureHappinessField (mathematics)Process (computing)Organizational behaviorBusinessOrganizational fieldPsychologyPublic relationsPolitical scienceKnowledge managementManagementSocial psychologyEconomicsComputer scienceMathematicsInstitutional theory

Abstract

fetched live from OpenAlex

Abstract The field of organizational behavior, its international dimensions, and the subfield of organization development (OD) are described. OD values are more congruent with some cultures' values than others, and culture influences various aspects of the planned change process. Thus, global OD initiatives and practices have to be contextualized to fit local conditions. Globalization and the needs of global organizations determined the topics that receive most attention in international organizational behavior. Examples of recent international research include studies of manager impact on employees in two regional clusters and job satisfaction. Two ongoing debates are described: whether money buys happiness in the psychological well‐being field, and whether cultural behavior and multinational enterprise practices are converging or diverging.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0370.007

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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations16
Published2015
Admission routes1
Has abstractyes

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