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Record W213262714

Antecedents of Perceived Organizational Support/ANTÉCÉDENT DE LA PERCEPTION DE SOUTIEN ORGANISATIONNEL

2009· article· fr· W213262714 on OpenAlexvenueno aff
Nik Azida Abd. Ghani, Tengku Ahmad Badrul Shah Raja Hussin

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPerceived organizational supportPsychologySocial psychologyPerceptionOrganizational commitmentHumanities
DOInot available

Abstract

fetched live from OpenAlex

Abstract: The main aim of this study is to identify the relationship between three variables (i.e. trust, access to information and access to opportunity to learn and develop) and perceived organizational support. This study also aims to identify the most effective predictor of perceived organizational support. The respondents comprise 312 lecturers from 25 private institutions of higher education in three Malaysian states (Kedah, Penang and Kelantan). Correlation analyses show high positive relationship between antecedents (trust; access to information; and access to opportunity to learn and develop) and perceived organizational support. Regression analysis indicates that all three antecedents under study are significant predictors of perceived organizational support. Trust is identified as the most effective predictor of perceived organizational support. In addition to managerial implications and limitations of the study, direction for future research are also suggested at the end of this study. Key words: Perceived organizational support; private higher education; trust; access to information; access to opportunity to leam and develop Resume: L'objectif principal de cette etude est de determiner la relation entre les trois variables (a savoir la confiance, l'acces a l'information et l'acces aux possibilites d'apprendre et de se developper) et la perception de soutien organisationnel. Cette etude vise egalement a identifier le facteur predictif le plus efficace de la perception de soutien organisationnel. Les sondes comprennent 312 enseignants de 25 etablissements de l'enseignement superieur prives dans trois regions de Malaisie (Kedah, Penang et Kelantan). Les analyses de correlation montrent une relation positive entre les antecedents (la confiance, l'acces a l'information et l'acces aux possibilites d'apprendre et de se developper) et la perception de soutien organisationnel. L'analyse de regression indique que tous ces trois antecedents etudies sont des facteurs predictifs importants de la perception de soutien organisationnel. La confiance est identifie en tant que le facteur predictif le plus efficace de la perception de soutien organisationnel. A part les implications et les limitations directoriales, l'orientation pour des recherches ulterieures sont egalement proposees a la fin de cette etude. Mots-cles: perception de soutien organisationnel; enseignement superieur prive; confiance; acces aux informations; acces aux possibilites d'apprendre et de se developper 1. INTRODUCTION Ministry of Education has set the target to make Malaysia as the centre of educational excellence and meet the vision of making education in Malaysia world-class (Kementerian Pendidikan Malaysia, 2001). Quality of higher education in any country depends on the quality of the institutions as well as the excellence of the lecturers. To help meet this vision a national quality agency, named Malaysian Qualifications Agency (which is the merger of National Accreditation Board and the Divisions of Quality Assurance of Malaysia Ministry of Higher Education), was approved in 2007 under Malaysian Qualification Act 2007. This agency is formed to implement the Malaysian Qualifications Framework (MQF). MQF is an instrument that develops and classifies qualifications based on a set of criteria that is approved nationally and is at par with international good practices (StudyMalaysia.com, 2009). In order to meet the increasing social demand on higher education, Malaysia has privatized the higher education sector by relaxing the restrictions in establishing private schools, institutions and colleges (Lee, 2004). A substantial number of part-time lecturers are hired to overcome the shortage of lecturers and to reduce costs. Most lecturers shift from one institution to another to take advantage of the higher salaries offered (Lee, 2004). The intention to remain in an institution is influenced by organizational commitment (Khatri, Chong & Budhwar, 2001). …

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)0.008
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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.246
Teacher spread0.237 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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