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Record W2895215927 · doi:10.5267/j.msl.2018.9.002

Assessment of student’s talent management in a corporate university

2018· article· en· W2895215927 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueManagement Science Letters · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessManagementPsychologyOperations managementComputer scienceProcess managementMarketingEngineeringEconomics

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate the student's talent management of a corporate university in Iran by descriptive-analytic method. The statistical population of the study included all 2200 students of the university. Based on the estimated number at Morgan table, 202 respondents completed the survey instrument. The data collecting tool of the questionnaire was ascertained and its reliability was obtained 78 percent by Cronbach's alpha coefficient. Content validity of the tool was also verified by the experts. For data analysis, the binomial test and Structural Equation Modeling (SEM) were used. The results show that none of the components of talent management (deployment and employment, career progression path, practical learning, performance management, knowledge sharing, self-development, training, appreciation and encouragement) in the studied university was in desire conditions. Other findings of the study also show that among organizational factors, components of "organizational culture", "supervisor satisfaction", "organizational dynamics", "working environment conditions", "colleagues", "prestige and brand of the university" and "growth opportunity" were influential on the students' talent development. Also, the results of the data analysis show that among the components of job factors, the component of "person-job fitness" affects the development of students' talents.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.002
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 head0.026
GPT teacher head0.253
Teacher spread0.227 · 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