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All Journal International Journal of Applied Business Research International Journal of Artificial Intelligence ORGANIZE: Journal of Economics, Management and Finance
Akande, Jamiu
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Cybersecurity and Customer Satisfaction in the Age of Digital Banking: An Application of Information Systems Success Model Ologun, Victor; Yusuf, Isaac; Obioha, Chiamaka; Akande, Jamiu; Ameen, Abdulrazaq; John, Stephen
ORGANIZE: Journal of Economics, Management and Finance Vol. 4 No. 3 (2025): Economic Transformation and Development
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/organize.v4i3.190

Abstract

In the rapidly evolving digital banking environment, cybersecurity has emerged as a critical factor influencing customer trust, system usage, and overall satisfaction. However, emergence of cybersecurity has also led to a parallel rise in cyberthreats involving data breaches, online fraud, phishing attacks, and other cybercrimes. This study integrated cybersecurity system within the Information Systems Success Model (ISSM) to explore how it affects customer satisfaction as the Nigeria’s banking industry goes digital. Using quantitative research approach, data were collected through structured questionnaires administered 310 respondents including bank customers, employees and IT managers. Ordered Logistic Regression (OLR) model was employed to test the predictive power of each explanatory variable. The findings reveal that information quality (β = 0.019, p < 0.05), service quality (β = 0.047, p < 0.05), use (β = 0.046, p < 0.05), and user satisfaction (β = 0.205, p < 0.05) have positive and significant effects on customer satisfaction, while system quality (β = -0.178, p > 0.05) and net benefits (β = 0.125, p > 0.05) show insignificant effects. This study concluded that the information systems success model is applicable to the Nigeria’s banking industry as cybersecurity system affects customer satisfaction. Therefore, the study recommended that customers should offer feedback on their experiences with the bank’s services, particularly regarding cybersecurity system effectiveness; and bank managers should invest in maintaining reliable and secure cybersecurity system, involving high uptime, smooth system performance, high-quality customer support and resilience against cyber threats.
Design and Evaluation of a Fuzzy Logic Based Intrusion Detection System for Network Security Isijola, Ayomitope; Afuadajo, Emmanuel; Asefon, Michael; Ogude, Ufuoma; Akande, Jamiu; Joseph, Promise
International Journal of Artificial Intelligence Vol 12 No 2: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01202.870

Abstract

With the proliferation of networked systems, intrusion detection systems (IDS) have become vital in identifying and mitigating cyber threats and unauthorized access. Traditional IDS approaches, such as signature-based and anomaly-based methods, often struggle to detect novel attacks and tend to generate high false alarm rates. This study presents a robust, fuzzy logic-based IDS designed to detect network intrusions and assess their risk levels while minimizing false positives. The IDS classifies network intrusions by analyzing parameters such as source bytes, destination bytes, and packet rates, categorizing them into risk levels through defined fuzzy rules. Implemented in Python using libraries like scikit-fuzzy and pandas, the system utilizes the KDD Cup 99 dataset, a widely recognized IDS benchmark. Fuzzy membership functions and inference rules were defined for the primary input variables, enabling the system to infer intrusion likelihood. The IDS was tested using both two-variable and multi-variable input setups. It achieved a precision of 0.89, a recall of 0.85, and an F1-score of 0.87 in the multi-variable scenario. Results indicate that the fuzzy logic-based IDS achieves a balanced trade-off between detection accuracy and interpretability. It offers a transparent decision-making framework suitable for real-time applications due to its adaptability and potential for integration with live data streams. This research proposes future improvements by creating a foundation for hybrid intrusion detection systems (IDS) that integrate fuzzy logic and machine learning to enhance accuracy and interpretability. It recommends future research on adaptive fuzzy rules, real-time data processing, and explainable AI (XAI) to improve system flexibility, responsiveness, and transparency in cybersecurity applications.
Cybersecurity and Customer Satisfaction in the Age of Digital Banking: An Application of Information Systems Success Model Ologun, Victor; Yusuf, Isaac; Obioha, Chiamaka; Akande, Jamiu; Ameen, Abdulrazaq; John, Stephen
Jurnal Internasional Penelitian Bisnis Terapan Vol 8 No 01 (2026)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijabr.v8i01.579

Abstract

In the rapidly evolving digital banking environment, cybersecurity has emerged as a critical factor influencing customer trust, system usage, and overall satisfaction. However, emergence of cybersecurity has also led to a parallel rise in cyberthreats involving data breaches, online fraud, phishing attacks, and other cybercrimes. This study integrated cybersecurity system within the Information Systems Success Model (ISSM) to explore how it affects customer satisfaction as the Nigeria’s banking industry goes digital. Using quantitative research approach, data were collected through structured questionnaires administered 310 respondents including bank customers, employees and IT managers. Ordered Logistic Regression (OLR) model was employed to test the predictive power of each explanatory variable. The findings reveal that information quality (β = 0.019, p < 0.05), service quality (β = 0.047, p < 0.05), use (β = 0.046, p < 0.05), and user satisfaction (β = 0.205, p < 0.05) have positive and significant effects on customer satisfaction, while system quality (β = -0.178, p > 0.05) and net benefits (β = 0.125, p > 0.05) show insignificant effects. This study concluded that the information systems success model is applicable to the Nigeria’s banking industry as cybersecurity system affects customer satisfaction. Therefore, the study recommended that customers should offer feedback on their experiences with the bank’s services, particularly regarding cybersecurity system effectiveness; and bank managers should invest in maintaining reliable and secure cybersecurity system, involving high uptime, smooth system performance, high-quality customer support and resilience against cyber threats.
Co-Authors Afuadajo, Emmanuel Ameen, Abdulrazaq Asefon, Michael Isijola, Ayomitope John, Stephen Joseph, Promise Obioha, Chiamaka Ogude, Ufuoma Ologun, Victor Yusuf, Isaac