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All Journal Applied Information System and Management Journal of Applied Engineering and Technological Science (JAETS) International Journal of Engineering, Science and Information Technology AI, Innovation, and Resilience for the Environment Journal
Noor Azura Zakaria
International Islamic University Malaysia
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Adoption and Implementation of Self-Development IT Applications : An Empirical Study of State Islamic Higher Education Institutions in Indonesia Muhammad Qomarul Huda; Nur Aeni Hidayah; Noor Azura Zakaria; Eva Khudzaeva
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 2 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v4i2.1873

Abstract

Implementing IT innovation in organizations is a complex and challenging process that affects organizational problems. The process involves many interacting factors and actors; hence this situation is difficult to control. This problem demonstrates the need to understand researchers' perceptions of IT adoption and implementation. This study aims to explore in depth the adoption and implementation of self-development IT applications (SDIT) in Islamic-based Higher Education Institution (IHEI) in Indonesia. The IT Adoption and Implementation Framework (Irawan et al., 2018) was applied as a lens to investigate the case. We conducted in-depth interviews with key informants involved during the adoption and implementation process in the organization. Interviews were transcribed and analyzed using thematic analysis. Certain Focus Group Discussion (FGD) studies and specific interviews with key informants representing three levels of management explained that mediating factors such as post-implementation interventions, subjective norms, and facilitating conditions influence success in adopting and implementing IT innovations in such cases. This study concludes that managerial interventions play an important role in reducing resistance from authoritarian approaches to mandating use and serve as a determinant of its sustainability in the future. These findings have significant implications for understanding how to achieve success in IT adoption and implementation in the post-implementation phase by providing empirical evidence. Theoretically, this study contributes to IT adoption and implementation frameworks by identifying the active role of critical actors in the adoption and implementation of IT applications in higher education institutions.
Visual Design Optimisation for Increased Conversion Rate on Digital Platforms Risma Haris; Noor Azura Zakaria; Harlis Setiyowati; Kristina Vaher; Lukita Pasha
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1761

Abstract

In the ever-evolving digital age, visual design optimisation has become an important focus for companies operating on digital platforms. Attractive, brand-appropriate visual design can influence user perception and increase engagement and conversions on the platform. This study aims to investigate the influence of visual design variables, including design quality and information engagement, on user engagement and conversion rates on digital platforms. The Structural Equation Modelling (SEM) method with SmartPLS was used to analyse data from online surveys involving respondents using digital platforms. The results of the analysis show that the quality of visual design has a significant influence on user engagement and conversion rates, while informational engagement also contributes positively to user engagement. The implication of these findings is the importance of paying attention to visual design and effective information delivery in improving user interaction and achieving business goals on digital platforms. The study provides valuable insights for digital platform developers and graphic design professionals in designing engaging and effective user experiences.
Generative Artificial Intelligence for Sustainable Digital Business Transformation Nor Saadah; Nurhafizah Mahri; Kayshifa Audira Audira; Noor Azura Zakaria
AI, Innovation, and Resilience for the Environment (AIR) Vol. 1 No. 2 (2026): AI, Innovation, and Resilience for the Environment (AIR) Journal
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/air.v1i2.210

Abstract

The rapid advancement of digital technology and environmental challenges has encouraged organizations to adopt innovative approaches to achieve sustainable business transformation. This study investigates the role of Generative Artificial Intelligence in supporting sustainable digital business transformation by examining how AI driven systems enhance operational efficiency, innovation capability, decision making quality, and environmental sustainability. The background of this research is based on the increasing need for businesses to integrate intelligent technologies with sustainable practices in order to remain competitive and resilient in the digital era. The objective of this study is to analyze the contribution of Generative Artificial Intelligence toward sustainable business development and digital transformation strategies. The method employed in this research uses a qualitative literature review approach by analyzing recent scholarly articles, industry reports, and technological studies related to artificial intelligence, sustainability, and digital business transformation. The results indicate that Generative Artificial Intelligence significantly contributes to improving business adaptability, automating operational processes, reducing resource consumption, and encouraging eco friendly innovation. In addition, AI technologies support organizations in developing data driven strategies that strengthen long term sustainability and resilience. The conclusion of this study emphasizes that Generative Artificial Intelligence has become an important driver in creating intelligent, innovative, and sustainable digital business ecosystems capable of addressing future environmental and technological challenges while maintaining organizational competitiveness in the global market.
Post-Adoption Factors Influencing Continuance Intention in Mobile Banking Applications: A PRISMA-Based Systematic Review Muhammad Qomarul Huda; Nur Aeni Hidayah; Balqis Aulia Rahma; Yusuf Durachman; Bayu Waspodo; Noor Azura Zakaria
Applied Information System and Management (AISM) Vol. 9 No. 2 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i2.51979

Abstract

Digital transformation has intensified competition in the digital banking industry, requiring banks not only to attract new users but also to retain existing customers beyond the initial adoption stage. This study aims to conduct a Systematic Literature Review (SLR) based on the PRISMA 2020 framework to identify dominant theoretical models, examine key drivers of continuance intention, and analyze the roles of trust and system quality in mobile banking applications. The review applies strict inclusion and exclusion criteria to articles published between 2021 and mid-2026, retrieved from five major academic databases: Scopus, ScienceDirect, SpringerLink, IEEE Xplore, and Google Scholar. A total of 35 relevant studies were selected for final analysis. The findings reveal that the Expectation-Confirmation Model (ECM) is the most widely used theoretical framework in this research domain. User satisfaction, perceived usefulness, and trust are identified as the most consistent determinants of continuance intention. System quality plays a fundamental role as a technical enabler influencing satisfaction, while trust serves as a key psychological factor driving long-term user loyalty. Despite rapid research growth, the literature shows notable limitations, including the dominance of cross-sectional designs and limited exploration of user responses to system disruptions. Practically, mobile banking providers should prioritize system reliability, security assurance, and transparent information to enhance user satisfaction and trust. Theoretically, this study contributes by synthesizing current research trends and identifying gaps to guide future studies on post-adoption behavior in digital financial services.
Co-Authors Balqis Aulia Rahma Bayu Waspodo Eva Khudzaeva Harlis Setiyowati Huda, Muhammad Qomarul Kayshifa Audira Audira Kristina Vaher Lukita Pasha Nor Saadah Nur Aeni Hidayah Nurhafizah Mahri Risma Haris Yusuf Abdurachman