DETERMINANTS OF WORKFORCE EFFICIENCY: AN ANALYSIS OF EMPLOYEE PERFORMANCE DRIVERS IN JIANGSU'S AUTOMOTIVE SECTOR

The rapid expansion of China’s automotive sector, particularly in Jiangsu Province, underscores the need to identify key drivers of workforce efficiency to sustain productivity and competitive advantage. This study examines the impact of leadership style, supervision, work discipline, and motivation on employee performance within Jiangsu’s automotive industry. Drawing on existing literature, we posit that these factors critically influence workforce productivity and operational outcomes. Adopting a quantitative approach, primary data were collected through structured surveys administered to 410 employees, with rigorous adherence to ethical guidelines. Our analysis reveals that leadership style, supervision, work discipline, and motivation exhibit statistically significant effects on employee performance (p < 0.05). While external factors remain influential, the findings demonstrate that targeted management practices can enhance workforce efficiency. The study contributes actionable insights for industry practitioners, suggesting that optimizing these determinants can improve performance metrics. For future research, we recommend investigating the mediating roles of organizational culture, technological integration, and macroeconomic conditions to develop adaptive strategies for sustained productivity growth. Results are presented through descriptive and inferential statistics, with empirical support for all hypothesized relationships.

Authors

Institutions

Publication Details

Journal
American Journal of Advanced Technology and Engineering Solutions
Published
2025-02-03
DOI
https://doi.org/10.63125/przyp417
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DETERMINANTS OF WORKFORCE EFFICIENCY: AN ANALYSIS OF EMPLOYEE PERFORMANCE DRIVERS IN JIANGSU'S AUTOMOTIVE SECTOR

Mohamad Idrakisyah, Chen Xinjian
American Journal of Advanced Technology and Engineering Solutions
Collaboration in agile enterprises
article

DETERMINANTS OF WORKFORCE EFFICIENCY: AN ANALYSIS OF EMPLOYEE PERFORMANCE DRIVERS IN JIANGSU'S AUTOMOTIVE SECTOR

Mohamad Idrakisyah, Chen Xinjian
article en

Abstract

The rapid expansion of China’s automotive sector, particularly in Jiangsu Province, underscores the need to identify key drivers of workforce efficiency to sustain productivity and competitive advantage. This study examines the impact of leadership style, supervision, work discipline, and motivation on employee performance within Jiangsu’s automotive industry. Drawing on existing literature, we posit that these factors critically influence workforce productivity and operational outcomes. Adopting a quantitative approach, primary data were collected through structured surveys administered to 410 employees, with rigorous adherence to ethical guidelines. Our analysis reveals that leadership style, supervision, work discipline, and motivation exhibit statistically significant effects on employee performance (p < 0.05). While external factors remain influential, the findings demonstrate that targeted management practices can enhance workforce efficiency. The study contributes actionable insights for industry practitioners, suggesting that optimizing these determinants can improve performance metrics. For future research, we recommend investigating the mediating roles of organizational culture, technological integration, and macroeconomic conditions to develop adaptive strategies for sustained productivity growth. Results are presented through descriptive and inferential statistics, with empirical support for all hypothesized relationships.

American Journal of Advanced Technology and Engineering SolutionsVol. 01(01)
City University Malaysia (MY)
Openalex Percentile: Top 87%
Collaboration in agile enterprises
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.

DETERMINANTS OF WORKFORCE EFFICIENCY: AN ANALYSIS OF EMPLOYEE PERFORMANCE DRIVERS IN JIANGSU'S AUTOMOTIVE SECTOR — Mohamad Idrakisyah, Chen Xinjian · American Journal of Advanced Technology and Engineering Solutions (2025) | TGRS Research Map | TGRS