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All Journal International Journal of Health, Economics, and Social Sciences (IJHESS) Journal of Economic Education and Entrepreneurship Studies
Putri Wahyu Novika
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Economics, Econometrics & Finance Public Health Social Sciences

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Impact of ERP System Implementation on Operational and Financial Efficiency in Manufacturing Industry Titis Sri Wulan; Putri Wahyu Novika; Elmi Nurvianti; Feby Arma Putra
Journal of Economic Education and Entrepreneurship Studies Vol. 5 No. 3 (2024): VOL. 5, NO. 3 (2024): JE3S, SEPTEMBER 2024
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/je3s.v5i3.4328

Abstract

This study aims to analyze the effect of implementing an ERP (Enterprise Resource Planning) system on operational and financial efficiency in the manufacturing industry. ERP systems are known to simplify business processes and improve efficiency, but their impact varies across companies. Using the linear regression method, this study measures the effect of variables such as production time reduction, inventory management, productivity improvement, cash flow improvement, and operating cost reduction on firm efficiency. Data was obtained from ten manufacturing companies in Indonesia that implemented ERP systems in the period 2016-2021. The results showed that all independent variables had a positive and significant effect on operational and financial efficiency. Regression coefficients show that reduced production time and improved inventory management contribute significantly to efficiency, with coefficients of 0.452 and 0.328, respectively. Increased productivity, improved cash flow, and reduced operating costs also showed a positive influence with coefficients of 0.378, 0.414, and 0.391. These findings indicate that ERP system implementation can effectively improve operational and financial efficiency in the manufacturing sector, contributing to cost reduction and productivity improvement. This research is expected to provide insights for companies considering ERP implementation to improve their operational and financial performance.
The Effect of Company Policy on Employee Compliance with the Implementation of AI to Maintain Company Data Security Evan Haviana; Nina Dwi Putriani; Putri Wahyu Novika; Arko Pujadi; Nurlaila Syarfiah Asfo
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.7039

Abstract

The rapid advancement of artificial intelligence (AI) in corporate data security presents both opportunities and challenges, particularly in ensuring employee compliance with security policies. This study aims to analyze the influence of corporate policies on employee adherence to AI-driven data security measures, focusing on how well-implemented policies can enhance awareness and compliance. Using a quantitative survey approach, data were collected from 200 employees working in companies that integrate AI into their security systems. Multiple linear regression analysis was employed to examine the relationship between corporate policies and employee compliance, with employee perceptions of AI serving as a moderating variable. The findings reveal that clear policies and comprehensive training programs have a significant positive impact on employee compliance with data security regulations. Furthermore, employee perceptions of AI moderate this relationship, indicating that those with a more positive understanding of AI are more likely to comply with established security policies. The study concludes that AI implementation for data security must be supported by strong corporate policies, effective training systems, and clear communication between management and employees. Companies must ensure that AI adoption not only strengthens data security but also addresses ethical and privacy concerns to foster trust and compliance among employees.
Co-Authors Arko Pujadi Elmi Nurvianti Evan Haviana Feby Arma Putra Nina Dwi Putriani Nurlaila Syarfiah Asfo Titis Sri Wulan