REIMAGINING ORGANIZATIONAL EFFECTIVENESS THROUGH AUTOMATION: EMPIRICAL EVIDENCE FROM KARACHI’S MANUFACTURING INDUSTRY

Authors

  • Aisha Sanam
  • Zainuddin Shaikh
  • Nimra Rao
  • Uzma Khalid

Keywords:

Automation, Organizational Effectiveness, Labor Management, Operational Performance, Social Well-being, Remuneration, HR Technology, Electronics Industry, Pakistan, SPSS

Abstract

This study explores the impact of automation on organizational effectiveness in the manufacturing sector, focusing on electronic companies based in Karachi, Pakistan. Using a quantitative approach and data collected from over 270 HR professionals and industry employees, the study investigates how operational performance, labor management effectiveness, workers' social well-being, and remuneration influence organizational outcomes. Employing regression and correlation analyses via SPSS, the findings indicate that all four independent variables have a statistically significant and positive relationship with organizational effectiveness. Among these, operational performance and labor management effectiveness emerged as the most influential predictors. The study concludes that automation not only enhances internal processes but also fosters employee motivation and engagement through improved work environments and compensation systems. These insights are critical for HR strategists and industry leaders seeking to align automation technologies with workforce management for improved organizational productivity. Recommendations include increasing sample size in future research, expanding to other industrial sectors, and exploring longitudinal effects of automation on employee satisfaction.

Downloads

Published

2025-04-30

How to Cite

Aisha Sanam, Zainuddin Shaikh, Nimra Rao, & Uzma Khalid. (2025). REIMAGINING ORGANIZATIONAL EFFECTIVENESS THROUGH AUTOMATION: EMPIRICAL EVIDENCE FROM KARACHI’S MANUFACTURING INDUSTRY. Policy Research Journal, 3(4), 625–636. Retrieved from https://theprj.org/index.php/1/article/view/651