MétaCan
Menu
Back to cohort
Record W2904073995 · doi:10.5539/ibr.v11n12p145

The Impact of Social Media on Human Resource Management Scope Activities in Al-Futtaim and Al-Etihad Group UAE

2018· article· en· W2904073995 on OpenAlexvenueno aff
Asaad Ali Karam, Abdelkarim Fuad Kitana

Bibliographic record

VenueInternational Business Research · 2018
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)BusinessComprehensionKnowledge managementSocial mediaResource (disambiguation)Human resourcesMarketingComputer scienceManagementEconomicsWorld Wide Web

Abstract

fetched live from OpenAlex

Purpose: Social media (SM) has gotten developing consideration over the most recent couple of years due to public awareness, a new age of organization, knowledge, and technology reasons, the requirement of SM has increased. The present research concentrates on two companies; namely Al-Futtaim and Al-Etihad group. Design/methodology: The study has identified various contextual relationships to the identified SM. Therefore, structural models of SM for implement human resource management scope activities (HRMSA). The finding presented that the companies with a larger service network is more affected by SM than the newly established company in HRMSA. Furthermore, the study indicated a positive and high relationship. Reasonable ramifications: Obvious comprehension of these variables will assist associations to organize better and deal with their assets in a productive and powerful way. Uniqueness: Contribute to study was identifying the HRMSA to implement SM platforms in (UAE) companies; Moreover, SM has opened a new avenue for HRMSA.

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 score0.864
Threshold uncertainty score0.274

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 communication0.0000.000
Open science0.0010.001
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 head0.058
GPT teacher head0.389
Teacher spread0.332 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Business ResearchSame topicOrganizational and Employee PerformanceFrench-language works237,207