THE IMPACT OF ARTIFICIAL INTELLIGENCE AS A MEDIATING VARIABLE BETWEEN TALENT MANAGEMENT STRATEGIES AND DIGITAL PERFORMANCE IMPROVEMENT

Abstract Successful organizational operations in the competitive business world depend heavily on efficient Talent management. Employee turnover is increasing because traditional methods of developing and retaining talent frequently fall short of addressing the complexity of contemporary workforce dynamics. The main objective was to assess how artificial intelligence (AI) influences the relationship between TM and digital performance enhancement in Jordanian ICT companies. To gather the relevant data this study used a quantitative approach. The statistical population of the research comprised 180 senior managers from ICT companies in Jordan. The relevant information was gathered through the use of a standard questionnaire. To analyze the obtained model, Smart PLS version 4.07 software was used. The results showed that the incorporation of AI in TM strategies enhances the firm’s DP. This study adds to our understanding of the TM future, which is improved by AI to help businesses succeed and adapt in the digital age.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-10
DOI
https://doi.org/10.5281/zenodo.14863127
Primary Topic
Aquatic Ecosystems and Biodiversity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE IMPACT OF ARTIFICIAL INTELLIGENCE AS A MEDIATING VARIABLE BETWEEN TALENT MANAGEMENT STRATEGIES AND DIGITAL PERFORMANCE IMPROVEMENT

Zenodo (CERN European Organization for Nuclear Research)
Aquatic Ecosystems and Biodiversity
article

THE IMPACT OF ARTIFICIAL INTELLIGENCE AS A MEDIATING VARIABLE BETWEEN TALENT MANAGEMENT STRATEGIES AND DIGITAL PERFORMANCE IMPROVEMENT

article en

Abstract

Abstract Successful organizational operations in the competitive business world depend heavily on efficient Talent management. Employee turnover is increasing because traditional methods of developing and retaining talent frequently fall short of addressing the complexity of contemporary workforce dynamics. The main objective was to assess how artificial intelligence (AI) influences the relationship between TM and digital performance enhancement in Jordanian ICT companies. To gather the relevant data this study used a quantitative approach. The statistical population of the research comprised 180 senior managers from ICT companies in Jordan. The relevant information was gathered through the use of a standard questionnaire. To analyze the obtained model, Smart PLS version 4.07 software was used. The results showed that the incorporation of AI in TM strategies enhances the firm’s DP. This study adds to our understanding of the TM future, which is improved by AI to help businesses succeed and adapt in the digital age.

Zenodo (CERN European Organization for Nuclear Research)
Amman Arab University (JO)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Aquatic Ecosystems and Biodiversity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.