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Record W3118255228 · doi:10.5267/j.msl.2020.12.004

Does motivation play moderating role on organizational citizenship behavior? Evidence from Indonesian telecommunication firms

2021· article· en· W3118255228 on OpenAlexvenueno aff
Maria Grace Herlina, Nopriadi Saputra

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployee Performance and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational citizenship behaviorTransformational leadershipOrganizational commitmentPsychologyIndonesianTest (biology)Work motivationCitizenshipStructural equation modelingBusinessSocial psychologyWork (physics)Political scienceComputer science

Abstract

fetched live from OpenAlex

Highly competitive and continuous business changes in telecommunication industry make organizational citizenship behavior (OCB) strategically important. This research aims to test the impact of transformational leadership of the direct supervisor on working motivation of the employees. Does supervisor's leadership capability impact on employees' work motivation more intrinsically or extrinsically? The study was conducted in an Indonesian telecommunication company which provides television cable and high-speed internet services for the high-rise building in Java and Sumatra. It involved 199 employees as the respondents. The collected data was analyzed with structural equation modelling approach. The statistical test has proved that transformational leadership has a positive impact on work motivation and organizational citizenship behavior. The motivation – both extrinsic motivation and intrinsic motivation, impacts on organizational citizenship behavior significantly. Although transformational does impact on organizational citizenship behavior both directly and indirectly, but the working motivation does not play a mediating role in the relationship between transformation leadership and organizational citizenship behavior.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.241
Teacher spread0.207 · 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 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

Citations6
Published2021
Admission routes1
Has abstractyes

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