TALENT MANAGEMENT IN A DIGITAL WORLD: BUILDING WORKFORCE AGILITY THROUGH STRATEGIC HRM

1. Abstract The digital era has significantly transformed the workplace, driving organizations to adopt innovative strategies to remain competitive and sustainable. Talent management, a cornerstone of Strategic Human Resource Management (SHRM), is vital for addressing the challenges posed by this transformation. With the rapid advancement of technologies such as artificial intelligence (AI), machine learning, big data, and automation, traditional workforce dynamics have shifted dramatically, leading to new challenges like skills gaps, talent retention issues, and employee resistance to change. At the same time, these changes present opportunities to redefine work through flexible models, diversity, inclusion, and digital proficiency. This study explores how SHRM can empower organizations to redefine their talent management strategies to meet the demands of the digital age. By leveraging digital tools, promoting continuous learning, and fostering workforce agility, SHRM provides a framework to prepare organizations for the future of work. This research employs a mixed-methods approach, utilizing primary data collected through surveys and interviews with HR professionals and business leaders, as well as secondary data from industry-leading reports and organizational case studies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-03
DOI
https://doi.org/10.5281/zenodo.14958688
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TALENT MANAGEMENT IN A DIGITAL WORLD: BUILDING WORKFORCE AGILITY THROUGH STRATEGIC HRM

Zenodo (CERN European Organization for Nuclear Research)
Human Resource and Talent Management
article

TALENT MANAGEMENT IN A DIGITAL WORLD: BUILDING WORKFORCE AGILITY THROUGH STRATEGIC HRM

article en

Abstract

1. Abstract The digital era has significantly transformed the workplace, driving organizations to adopt innovative strategies to remain competitive and sustainable. Talent management, a cornerstone of Strategic Human Resource Management (SHRM), is vital for addressing the challenges posed by this transformation. With the rapid advancement of technologies such as artificial intelligence (AI), machine learning, big data, and automation, traditional workforce dynamics have shifted dramatically, leading to new challenges like skills gaps, talent retention issues, and employee resistance to change. At the same time, these changes present opportunities to redefine work through flexible models, diversity, inclusion, and digital proficiency. This study explores how SHRM can empower organizations to redefine their talent management strategies to meet the demands of the digital age. By leveraging digital tools, promoting continuous learning, and fostering workforce agility, SHRM provides a framework to prepare organizations for the future of work. This research employs a mixed-methods approach, utilizing primary data collected through surveys and interviews with HR professionals and business leaders, as well as secondary data from industry-leading reports and organizational case studies.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 45%
Human Resource and Talent Management
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.

TALENT MANAGEMENT IN A DIGITAL WORLD: BUILDING WORKFORCE AGILITY THROUGH STRATEGIC HRM · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS