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Mosinki, Joyce
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Computer Science & IT

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Usability of Mobile Learning Technologies in Open and Distance Learning Rafifing, Neo; Mosinki, Joyce; Mabina, Alton; Otlhomile, Boitshoko E; Mphole, Ofaletse
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.989

Abstract

Mobile learning (m-learning) utilizes portable devices like smartphones and tablets for educational purposes and is gaining popularity, particularly in open and distance learning (ODL) contexts. This study explores the usability of mobile learning technologies among undergraduate students in ODL. An online survey questionnaire was administered to undergraduates enrolled in a Business course in Botswana and a usability conceptual model was developed. The findings revealed that predominant opportunities of using mobile learning technologies in ODL include improved student interaction and flexible learning schedules. Likewise, challenges embraced limited battery life, small screens, distractions from phone calls and notifications, and the high cost of internet bundles. To enhance adoption of mobile learning, the study recommends investments in infrastructure and internet connectivity. Furthermore, it suggests reducing internet costs through initiatives like government subsidies or partnerships with Telecom providers. Additionally, the study highlights the importance of training ODL educators and students in effective mobile learning technology utilization.
Exploring the Impact of IoT and Blockchain on Supply Chain Management in Developing Countries Rafifing, Neo; Mabina, Alton; Rafifing, Leatile W.; Mosinki, Joyce; Mphale, Ofaletse
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.997

Abstract

The rapid development of the Fourth Industrial Revolution is having diverse effects on underdeveloped nations, influencing them in various ways. Developed countries have an advantage over underdeveloped countries since they embraced industrialization earlier, widening the gap between them. This comprehensive survey paper examines the multifaceted landscape of industry 4.0 in supply chain, shedding light on the potential challenges and key value drivers in the context of a developing country. Findings revealed that inadequate digital infrastructure, limited access to electricity, and a shortage of skilled workforce are the primary challenges faced by developing countries in the supply chain domain. The study systematically examines industry 4.0 technologies and indicates a 20-30% improvement in supply chain efficiency through the adoption of key technologies like IoT, AI, and blockchain. The study concludes by offering future research on industry 4.0 in supply chain management. The study results are assumed to offer insightful information to supply chain managers in developing countries, by enabling them with a deeper understanding of the major challenges and key drivers involved in integrating Industry 4.0 in their organizations and network.
ERP Adoption in Higher Education: A TAM-Based Analysis of Botswana’s Technical University Otlhomile, Boitshoko Effort; Rafifing, Neo; Mphale, Ofaletse; Mosinki, Joyce; Mabina, Alton
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.v7i4.1198

Abstract

This study investigates ERP adoption at a technical university in Botswana using the Technology Acceptance Model (TAM). It examines how Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioural Intention (BI) influence Actual System Use (AU). Data were collected from administrative staff using a structured survey and analyzed using regression analysis. The results show that PEOU significantly influences both BI (R² = 0.964, p = 0.0029) and PU (R² = 0.864, p = 0.022), indicating that system usability is crucial for ERP adoption. Furthermore, PEOU positively impacts PU (R² = 0.817, p = 0.035), and BI strongly predicts AU (R² = 0.821, p = 0.034). These findings highlight the importance of user-friendly interfaces, comprehensive training programs, and institutional support to ensure successful ERP implementation. The research provides valuable insights for universities aiming to enhance operational efficiency, streamline data management, and improve decision-making processes through effective ERP adoption, particularly in developing countries like Botswana.
Co-Authors Mabina, Alton Mphale, Ofaletse Mphole, Ofaletse Otlhomile, Boitshoko E Otlhomile, Boitshoko Effort Rafifing, Leatile W. Rafifing, Neo