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The Role of Technology and Infrastructure in Improving Operational Efficiency Muhajji, Muhajji; Rappe, Ambo; Halim, Muh.Rizal; Yunus, Muhammad Yusri
Bata Ilyas Educational Management Review Vol. 4 No. 2 (2024): July - December
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/biemr.v4i2.2414

Abstract

This study examines the role of technology and infrastructure in improving operational efficiency across various industries, highlighting the integration of advanced technologies and robust infrastructure. A mixed-methods approach was employed, combining quantitative data from structured surveys and qualitative insights from semi-structured interviews with key stakeholders across diverse sectors, including manufacturing, banking, and urban development. The data were analyzed using statistical and thematic analysis techniques. The study finds that integrating advanced technologies such as automation, artificial intelligence (AI), and the Internet of Things (IoT), along with robust IT and physical infrastructure, significantly enhances productivity, reduces costs, and fosters innovation. These results align with the dynamic capabilities theory, emphasizing the importance of an organization’s ability to adapt and innovate continuously. However, challenges such as significant upfront investments, technological obsolescence, and the need for continuous employee training were noted. The findings also underscore the necessity of developing generalized models that can be applied across various contexts to enhance the generalizability of results. The study provides actionable insights for practitioners and policymakers on strategic planning and investment in technology and infrastructure. It highlights the importance of balancing short-term efficiency gains with long-term strategic benefits, advocating for continuous employee development and sustainable practices. Future research should focus on longitudinal studies to track these investments' long-term impacts and applicability across diverse organizational contexts.
Product Quality Improvement through Effective Operational Management Herison, Roni; Halim, Muh.Rizal; Mattalata, Solihin
Bata Ilyas Educational Management Review Vol. 4 No. 2 (2024): July - December
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/biemr.v4i2.2417

Abstract

This study aims to investigate the impact of advanced operational management practices on product quality improvement. It focuses on the integration of Industry 4.0 technologies, Lean Manufacturing principles, and Total Quality Management (TQM) methodologies to enhance operational efficiency and product quality. The study employs a mixed-methods approach, combining quantitative data from structured surveys and qualitative insights from semi-structured interviews. The sample includes manufacturing firms of various sizes, and data analysis involves statistical techniques and thematic analysis to provide a comprehensive understanding of the practices and their effects. The findings reveal that integrating Industry 4.0 technologies, such as IoT and AI, significantly enhances real-time monitoring and control, leading to proactive quality management. Lean Manufacturing principles reduce waste and optimize processes, while TQM fosters a culture of continuous improvement and employee involvement. These practices collectively improve operational efficiency and product quality. The study also identifies the importance of a supportive organizational culture and robust supplier quality management. The study offers practical insights for organizations aiming to enhance product quality through advanced operational practices. It highlights the need for a holistic approach integrating technological advancements with human factors. Despite its contributions, the study's limitations include a focus on manufacturing firms and reliance on self-reported data, suggesting future research should explore broader industry contexts and longitudinal effects to build on these findings.