Strategi Manajemen Dalam Pengembangan Sumber Daya Manusia Melalui Pendekatan Teoritis Dan Empiris Untuk Optimalisasi Kinerja Organisasi

Human Resource Development (HRD) is a crucial aspect of organizational management, playing a key role in enhancing workforce productivity and ensuring business sustainability. In an increasingly competitive world, the role of strategic management in designing effective HR policies has become more vital. This study examines how strategic management approaches can be applied in HRD to improve overall organizational performance. The research employs a mixed-method approach, combining quantitative analysis through statistical techniques with qualitative analysis via surveys and interviews. The findings indicate that the integration of data-driven approaches in HR management significantly impacts employee retention, job satisfaction, and the effectiveness of training programs. By utilizing regression analysis, correlation, and predictive modeling, organizations can optimize recruitment strategies and workforce management based on industry trends and internal needs. Moreover, the study finds that companies adopting technology-based strategies in HR management show higher adaptability to changes in the business environment. The study concludes that implementing data-driven management strategies in HRD positively contributes to workforce efficiency and the achievement of organizational goals. Recommendations include strengthening predictive-based policies, investing in structured training programs, and developing digital HR systems to enhance workforce management effectiveness.

Authors

Institutions

Publication Details

Journal
Jurnal Akuntansi Ekonomi dan Manajemen Bisnis
Published
2025-07-19
DOI
https://doi.org/10.55606/jaemb.v5i2.6820
Primary Topic
Employee Performance and Motivation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strategi Manajemen Dalam Pengembangan Sumber Daya Manusia Melalui Pendekatan Teoritis Dan Empiris Untuk Optimalisasi Kinerja Organisasi

Adianto Adianto, Muhamad Arsy Trisdianto, Resti Dewi Asturias
Jurnal Akuntansi Ekonomi dan Manajemen Bisnis
Employee Performance and Motivation
article

Strategi Manajemen Dalam Pengembangan Sumber Daya Manusia Melalui Pendekatan Teoritis Dan Empiris Untuk Optimalisasi Kinerja Organisasi

Adianto Adianto, Muhamad Arsy Trisdianto, Resti Dewi Asturias
article en

Abstract

Human Resource Development (HRD) is a crucial aspect of organizational management, playing a key role in enhancing workforce productivity and ensuring business sustainability. In an increasingly competitive world, the role of strategic management in designing effective HR policies has become more vital. This study examines how strategic management approaches can be applied in HRD to improve overall organizational performance. The research employs a mixed-method approach, combining quantitative analysis through statistical techniques with qualitative analysis via surveys and interviews. The findings indicate that the integration of data-driven approaches in HR management significantly impacts employee retention, job satisfaction, and the effectiveness of training programs. By utilizing regression analysis, correlation, and predictive modeling, organizations can optimize recruitment strategies and workforce management based on industry trends and internal needs. Moreover, the study finds that companies adopting technology-based strategies in HR management show higher adaptability to changes in the business environment. The study concludes that implementing data-driven management strategies in HRD positively contributes to workforce efficiency and the achievement of organizational goals. Recommendations include strengthening predictive-based policies, investing in structured training programs, and developing digital HR systems to enhance workforce management effectiveness.

Jurnal Akuntansi Ekonomi dan Manajemen BisnisVol. 5(2)
Universitas Islam Syekh Yusuf (ID)
Openalex Percentile: Top 78%
Employee Performance and Motivation
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.