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Record W1837099635 · doi:10.5539/ibr.v8n11p39

Motivation in the Perspective of Self Determination Theory (SDT) between Work Environment and Job Satisfaction in Banking Sector

2015· article· en· W1837099635 on OpenAlexvenueno aff
Syed Talib Hussain, Shen Lei, Zainul Abideen, Syed Hadi Hussain

Bibliographic record

VenueInternational Business Research · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionPsychologyWork motivationWork (physics)Perspective (graphical)Job attitudeStress (linguistics)MaximizationJob designSocial psychologyJob performanceApplied psychologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

The expansion of business, fulfillments of demands and profits maximization have created stress and less motivation for job satisfaction. To fulfill the demand of organizations and maximize the satisfaction level of employees; the extrinsic and intrinsic motivation beyond psychological motivation has been used in this study to minimize stress level and maximize the satisfaction level among employees. This study explains work stress, job overload; performance pressure and job satisfaction while in motivation; the extrinsic/intrinsic factors of Self Determination Theory (SDT) have been used. Structured questionnaires were used to collect the data. The total distribution was 120 and response rate was 75 percent. The results found that work stress, job overload and performance pressure has negative impact on job satisfaction and employees do not like stress caused by work overload or job overload, while motivation factor has played an important psychological role in the study.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.320
Teacher spread0.257 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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