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Record W4295972114 · doi:10.56536/ijmres.v10i2.87

EFFECT OF REWARD SYSTEM ON INNOVATIVE WORK BEHAVIOUR THROUGH TEMPORARY ORGANIZATIONAL COMMITMENT AND PROFICIENCY: MODERATING ROLE OF MULTICULTURALISM

2020· article· en· W4295972114 on OpenAlexaff
Kanwal Iqbal Khan, Syed M. Waqar Azeem Naqvi, Muhammad Mudassar Ghafoor, Gohar Nayab

Bibliographic record

VenueInternational Journal of Management Research and Emerging Sciences · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMultinational corporationMulticulturalismBusinessReward systemOrganizational commitmentWork (physics)Survey data collectionCompetitive advantagePsychologyQuestionnaireMarketingPublic relationsKnowledge managementSocial psychologyPolitical scienceSociologyEngineeringPedagogy

Abstract

fetched live from OpenAlex

Innovative work behaviour (IWB) of employees is considered substantial for the organizational development to achieve competitive edge. That is why organizations are continuously working to improve their mechanism of enhancing IWB of the employees. Previous studies are evident that a good reward system can play an effective role in achieving the desired results because when employees are rewarded, they become more committed and produce innovative ideas for the companies’ proficiency. Therefore, present study is aimed to find out the effect of reward system on IWB of the employees through temporary organizational commitment (TOC), temporary organizational proficiency (TOP). It further explores the moderating role of multiculturalism between TOC, TOP and IWB. Data is collected from 362 contractual employees of the multinational companies of Pakistan through questionnaire survey. The findings of the study depicted that TOC and TOP mediates the relationship between reward system and IWB. The moderating role of multiculturalism is well explained in the relationship of TOP and IWB. Multiculturalism decreases the positive effect of TOP on IWB. These results will be helpful for the organizations to achieve the project success

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)0.001
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 score0.584
Threshold uncertainty score0.347

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.050
GPT teacher head0.328
Teacher spread0.279 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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