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Record W3184667797 · doi:10.1108/joepp-12-2020-0253

Organization engagement: a review and comparison to job engagement

2021· review· en· W3184667797 on OpenAlexaff
Alan M. Saks, Jamie A. Gruman, Qian Zhang

Bibliographic record

VenueJournal of Organizational Effectiveness People and Performance · 2021
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of GuelphUniversity of Toronto
Fundersnot available
KeywordsWork engagementEmployee engagementOrganizational citizenship behaviorPsychologyOrganizational justiceOrganizational commitmentPublic engagementOrganisation climateJob satisfactionJob performanceCorporate social responsibilitySocial psychologyPublic relationsWork (physics)Political science

Abstract

fetched live from OpenAlex

Purpose Employee engagement has received a considerable amount of research attention over the last decade. However, most of the research has been on job or work engagement. Much less attention has been given to organization engagement, which is a distinct but related target of employee engagement. In this paper, we review the research on organization engagement and identify how it has been measured, its antecedents and consequences and how it compares to job engagement. Design/methodology/approach This paper provides a narrative review of 40 studies that have measured organization engagement. Most of these studies have been published in the last five years, and they come from 20 different countries. The majority of studies also measured job or work engagement. Findings Most studies used Saks' (2006) measure of organization engagement. Many antecedents have been found to be related to organization engagement; however, those most often studied and consistently related to organization engagement are organizational-related resources such as perceived organizational support (POS), justice perceptions, corporate social responsibility (CSR), organizational structural factors, organizational climate and HR practices. Organization engagement has been found to be positively related to job satisfaction, organizational commitment, organizational citizenship behavior (OCB), job performance and organizational performance and negatively related to intention to quit. Organization engagement has also been found to partially or fully mediate the relationship between antecedents and consequences. In comparison to job engagement, organization engagement scores tend to be lower, and there are meaningful differences in the antecedents and consequences of organization engagement and job engagement. A number of studies found that organization engagement was more strongly related to several of the consequences than job engagement. Practical implications The results of this review indicate that organization engagement is as important if not more important than job engagement when it comes to its relationship to some of the consequences of employee engagement. Organizations should include a measure of organization engagement in employee surveys and focus on improving organization engagement by providing a supportive work environment, ensuring that employees have positive perceptions of justice, increasing CSR initiatives, providing a variety of human resources (HR) practices and improving organizational climate. Originality/value This paper provides the first comprehensive review of research on organization engagement and offers a new model of the antecedents and consequences of organization engagement and compares organization engagement to job engagement.

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)0.003
metaresearch head score (Gemma)0.013
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: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0130.014
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.306
Teacher spread0.275 · 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
GenreReview

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

Citations88
Published2021
Admission routes1
Has abstractyes

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