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Journal : Science Information System and Technology

Digital Transformation and its Impact on Enterprise Systems in the Manufacturing Sector Loso Judijanto; Arnes Yuli Vandika; Zulkifli Zulkifli; Syawal Aprian
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1522

Abstract

Digital transformation has revolutionized the manufacturing sector by enhancing the capabilities of enterprise systems. This study investigates the impact of digital transformation initiatives on operational efficiency, system flexibility, and decision-making capabilities within manufacturing enterprises. A quantitative approach was employed, involving 60 manufacturing enterprises and using a structured questionnaire based on a Likert scale (1-5). The data were analyzed with SPSS version 25, revealing significant positive relationships between digital transformation and the performance of enterprise systems. Regression analysis showed that digital transformation initiatives explained 42% of the variance in operational efficiency, 34% in system flexibility, and 38% in decision-making capabilities. The findings provide valuable insights into the transformative potential of digital technologies and highlight practical strategies for overcoming implementation challenges. This study contributes to the understanding of digital transformation's role in optimizing enterprise systems within the manufacturing sector.
The Effect of Business Intelligence System Implementation on Organizational Performance in the Digital Age Loso Judijanto; Zulkifli Zulkifli; Yusniar Yusniar
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1532

Abstract

The implementation of Business Intelligence systems has emerged as one of the key strategies to enhance organizational performance in the digital era. This study systematically reviews 17 peer-reviewed articles from the Scopus database to examine the impact of BI systems on various performance dimensions, including operational efficiency, decision-making, financial outcomes, and customer satisfaction. Results indicated that BI systems enhance organizational agility and competitiveness, while data quality, management support, user training, and strong IT infrastructure were among the factors that drive their success. Challenges such as high implementation costs, resistance to change, and integration complexities remain. Emerging trends in AI integration, cloud-based solutions, and real-time analytics reflect the evolving possibilities of BI systems. This research contributes to the literature by synthesizing critical insights and offering actionable recommendations for practitioners and researchers aiming to leverage BI systems for sustained organizational growth.