Open Access
·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
• Applications to Technology
Issues up to 2022 co-published with and available at:
Enhancing Financial Literacy for Equitable Growth,” postulates that the integration of AI-driven personalized learning systems is pivotal in democratizing access to financial education, transcending entrenched socio-economic barriers and fostering equitable growth by empowering marginalized populations with sophisticated, scalable, and contextually tailored financial knowledge. Through the convergence of AI accessibility, digital literacy, and hyper-personalized learning, the study highlights a transformative paradigm that optimizes financial acumen, mitigates cognitive biases, and catalyzes inclusive economic empowerment, thereby engendering a reimagined, equitable financial ecosystem with far-reaching implications for global socio-economic development.
[1] J. P. Joseph, “The role of emotional regulations and risk appetite on investment decision,” Journal of Statistics and Management Systems, vol. 27, no. 8, pp. 1615–1634 (2024), doi: 10.47974/JSMS-1222.[2] B. E. Ocran, R. Minkah, and K. Doku-Amponsah, “A reduced-bias weighted least squares estimation of the extreme value index,” Journal of Statistics and Management Systems, vol. 27, no. 8, pp. 1499–1523 (2024), doi: 10.47974/JSMS-981.[3] M. Bhatnagar, S. Taneja, and E. Özen, “A wave of green start-ups in India—The study of green finance as a support system for sustainable entrepreneurship,” Green Finance, vol. 4, no. 2, pp. 253–273 (2022), doi: 10.3934/gf.2022012.[4] A. K. Arora and M. Tyagi, “Advances in Global Business, Economics, Finance and Social Sciences,” Journal of Statistics & Management Systems, vol. 26, no. 3, pp. i–vii (2023), doi: 10.47974/JSMS-26-3-FOREWORD.[5] R. R. Rahrig, “ANOVA F-test and Kruskal-Wallis test performance comparison under varying distributions, variance heterogeneity, sample sizes, and noncentrality structures,” Journal of Statistics and Management Systems, vol. 27, no. 8, pp. 1595–1613 (2024), doi: 10.47974/JSMS-1116.[6] M. R. Laxmi, R. Clonia, R. Singh, N. K. Gupta, S. M. Adhav, and S. Suneetha, “Comparative Analysis of Machine Learning and Its Powered Technologies Applications in the Banking Sector,” Institute of Electrical and Electronics Engineers Inc., pp. 2415–2420 (2023). doi: 10.1109/IC3I59117.2023.10397904.[7] J. Zhang and R. Jamil, “Assessing the Complex Interplay of China’s Fertility Policy Adjustments and Female Employment Dynamics: An In-depth Analysis of the Digitalized HRM Landscape in the Age of AI and Big Data,” Journal of Information Systems Engineering and Management, vol. 9, no. 1 (2024), doi: 10.55267/iadt.07.14508.[8] M. Bhatnagar, S. Taneja, and R. Rupeika-Apoga, “Demystifying the Effect of the News (Shocks) on Crypto Market Volatility,” Journal of Risk and Financial Management, vol. 16, no. 2, p. 136 (2023), doi: 10.3390/jrfm16020136.[9] S. Tiwari, P. Agarwal, and R. Singh, “The impact of digital transformation on workforce engagement in Indian banking sector,” Journal of Information & Optimization Sciences, vol. 44, no. 1, pp. 171–178 (2023), doi: 10.47974/JIOS-1305.[10] Mukul, S. Taneja, E. Özen, and N. Bansal, “CHALLENGES AND OPPORTUNITIES FOR SKILL DEVELOPMENT IN DEVELOPING ECONOMIES,” Contemporary Studies in Economic and Financial Analysis, vol. 112B, pp. 1 – 22 (2024), doi: 10.1108/S1569-37592024000112B001.[11] E. E. Elfar, “Exploring the impact of AI awareness on AI anxiety: the moderating role of perceived organizational support,” Management and Sustainability (2025), doi: 10.1108/MSAR-01-2025-0008.[12] D. Mahat, S. K. Shrestha, D. Neupane, T. B. Karki, and P. Dongol, “Green human resource management and sustainable workplace: Artificial Intelligence as mediating variable,” Edelweiss Applied Science and Technology, vol. 9, no. 6, pp. 656–667 (2025), doi: 10.55214/25768484.v9i6.7863.[13] G. T. Chavan, S. H. Lavate, P. R. Selokar, D. Raverkar, A. P. Munshi, and K. Kusum, “An optimization strategy for portfolio management leveraging deep reinforcement learning for automated stock trading,” Journal of Information and Optimization Sciences, vol. 46, no. 4-B, pp. 1177–1187 (2025), doi: 10.47974/JIOS-1901.[14] L. T. Hien and P. T. Tam, “Applied Data Science for Exploring Human Resource Management Affecting the Competitiveness of Commercial Banks in Vietnam,” Journal of Applied Data Sciences, vol. 6, no. 2, pp. 1351–1366 (2025), doi: 10.47738/jads.v6i2.710.
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