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Journal : West Science Nature and Technology

AI-Powered Service Quality Management for Next-Generation Industrial IoT in Indonesia Judijanto, Loso; Parhusip, Jadiaman; Sono, Moh Gifari
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/j0q44416

Abstract

This study explores the integration of AI-powered service quality management in next-generation Industrial Internet of Things (IIoT) environments in Indonesia using a qualitative research approach. Drawing insights from five informants across diverse industries, the study investigates perceptions, challenges, organizational readiness, and the impact of AI technologies. Findings reveal that AI significantly enhances service quality through real-time monitoring, predictive analytics, and automation, leading to improved operational efficiency and customer satisfaction. However, challenges such as inadequate infrastructure, skill gaps, and data privacy concerns hinder widespread adoption, especially for small and medium enterprises (SMEs). The study emphasizes the importance of digital infrastructure development, workforce upskilling, and robust data security frameworks to fully realize the benefits of AI in IIoT environments. These findings contribute valuable insights for policymakers, industry practitioners, and researchers, providing a foundation for addressing contextual challenges and optimizing AI-driven service quality management in Indonesia.
The Interaction between Ecosystem Complexity and Technological Evolution in Digital Supply Chains at Technology Companies in Indonesia Judijanto, Loso; Sono, Moh Gifari
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/py66vg88

Abstract

This study examines the interaction between ecosystem complexity and technological evolution in shaping the performance of digital supply chains at technology companies in Indonesia. Using a quantitative approach, data were collected from 115 respondents through a Likert scale-based questionnaire and analyzed using SPSS version 25. The findings reveal significant positive relationships between ecosystem complexity, technological evolution, and supply chain performance. Regression analysis highlights the critical role of ecosystem complexity in driving technological adoption, which in turn enhances supply chain efficiency and resilience. The interaction of these variables explains 62% of the variance in supply chain performance. The results underscore the importance of addressing ecosystem complexity through tailored technological solutions to maintain competitive advantage. This study provides practical implications for industry practitioners and policymakers, emphasizing the need for targeted investments in technology and infrastructure development to optimize supply chain operations in dynamic environments.