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All Journal Journal of Information Systems and Informatics
Sarker, Md. Mostakim
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Computer Science & IT

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Trends of Machine Learning, Cybersecurity and Big Data Analytics in Industry 4.0 Sarker, Md. Mostakim; Jony, Md. Jahid Hasan; Ullah, Md Wali; Begum, Jannat; Naushin, Nusaibah
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1321

Abstract

This research explores the integration of Machine Learning (ML), Cybersecurity, and Big Data Analytics (BDA) in advancing intelligent, secure, and sustainable industrial ecosystems within Industry 4.0. It assesses global research productivity, collaboration patterns, and the connection between intelligent automation, data-driven innovation, and cyber resilience. A PRISMA-based bibliometric review of 1,386 relevant publications from the Scopus database (2020-2025) was conducted, using Biblioshiny visualization tools to map key authors, institutions, countries, and emerging research clusters. Findings show a 7.09% annual growth in publications, reflecting a growing global focus on ML, BDA, and cybersecurity within Industry 4.0 ecosystems. The United States, China, and India were identified as major contributors, with strong cross-continental collaborations fostering innovation. Key research topics include deep learning, digital twins, and the Internet of Things (IoT), while emerging areas such as explainable AI, federated analytics, and edge computing are gaining attention. By mapping global research dynamics and identifying key contributors, this study highlights critical research gaps and offers practical insights for advancing interdisciplinary innovation, aimed at creating secure, intelligent, and sustainable industrial ecosystems in Industry 4.0.
Investigating Job Satisfaction Among Academic and Non-Academic Employees: Evidence from a Public University in Bangladesh Akter, Sabina; Yesmin, Farjana; Akter, Sadia; Sakib, Md. Nazmus; Sarker, Md. Mostakim
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1369

Abstract

This study explores job satisfaction and its determinants among academic and non-academic staff at Begum Rokeya University, Bangladesh, to identify factors influencing morale, motivation, and retention in a public higher education institution. Using a mixed-methods approach, quantitative data were gathered via a structured 5-point Likert-scale questionnaire, and qualitative insights were obtained through semi-structured interviews with a purposive sample of 50 employees. Results show moderate overall job satisfaction, with high satisfaction regarding annual leave (mean = 4.32) and work environment (mean = 4.04), but low satisfaction with promotion opportunities (mean = 2.72) and training and development (mean = 2.78). The scale’s high reliability (Cronbach’s α = 0.993; standardized α = 0.994) supports the validity of the findings. Herzberg’s motivation-hygiene theory highlights promotion and professional development as key hygiene factors. This research offers crucial insights for improving promotion policies and training systems and calls for future longitudinal studies across Bangladesh’s higher education sector.
Co-Authors Akter, Sabina Akter, Sadia Begum, Jannat Jony, Md. Jahid Hasan Naushin, Nusaibah Sakib, Md. Nazmus Ullah, Md Wali Yesmin, Farjana