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Improving MSME Performance Through Digital Literacy in the Digital Economy Era Yusuf Yusuf; Jefri Putri Nugraha
Economics And Business Management Journal ( EBMJ ) Vol. 1 No. 03 (2024): Economics And Business Management Journal (EBMJ)
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/ebmj.v1i03.381

Abstract

This study aims to develop a risk management model for network technology projects based on the Certainty Factor (CF). The background of this research is the high complexity and risks often encountered in network technology projects, which impact the timeliness, budget, and quality of outcomes. The research method employed is a quantitative approach through simulation and testing on a network project case study. The results indicate that the CF-based approach enhances accuracy in risk identification and mitigation, providing greater efficiency compared to conventional methods. These findings contribute to offering a systematic framework for project managers to effectively manage risks, particularly in the field of network technology.
Analysis of the Influence of Leadership and Work Motivation on Employee Productivity at PT. X Yusuf Yusuf; Aries Widya Gunawan
Economics And Business Management Journal ( EBMJ ) Vol. 2 No. 02 (2025): Economics And Business Management Journal (EBMJ)
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/ebmj.v2i02.458

Abstract

This study aims to analyze the effect of leadership and work motivation on employee productivity at PT. X. The research method used is quantitative with a verificative approach, employing multiple linear regression analysis. The sample consists of 54 employees selected using random sampling. The results show that leadership does not have a significant effect on employee productivity (p > 0.05), while work motivation has a positive but marginal effect (p < 0.1). Simultaneously, leadership and work motivation do not significantly affect employee productivity (p > 0.05). The coefficient of determination (R²) value of 0.083 indicates that only 8.3% of the variation in employee productivity can be explained by these two variables. This study suggests that PT. X should improve leadership quality and focus on enhancing work motivation to increase employee productivity.