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The Mediating Role of Religiosity in the Influence of Social Culture and Sharia Financial Literacy on Islamic Banking Product Adoption Among MSMEs in Sembalun

Muaidy Yasin, Akung Daeng, Busaini Busaini, Mohammad Najib Roodhi et al. • Indonesian Interdisciplinary Journal of Sharia Economics (2026)

This study investigates the influence of Sharia financial literacy and financial social culture on the adoption of Islamic banking products among micro, small, and medium enterprises (MSMEs) in Sembalun, Lombok, Indonesia, with religiosity ...

DOAJ Open Access (DOAJ) DOI: 10.31538/iijse.v9i2.9679

A Study on the Effect of Granular Residual in the Banking Network on the Transmission of Monetary Policy through Lending Channel

Hamid Reza Horry, Sayyed Abdolmajid Jalaee Esfand abadi, Mehdi Nejati, Siminossadat Mirhashemi Naeini • International Journal of Business and Development Studies (2018)

Granular residual is created in the banking network when there are a few large banks with many small banks. In this case, the effect of the shocks on each bank not lost in total that can lead to macro-economic consequences. The transmission...

DOAJ Open Access (DOAJ) DOI: 10.22111/ijbds.2018.4054

Quantum Computing in Cybersecurity

• Wiley eBooks (2023)

Machine learning, deep learning, probabilistic neural networks, blockchain, and other new technologies all demand extremely high processing speeds. A quantum computer is an example of such a system. Quantum computers may be accessed over th...

OPENALEX DOI: https://doi.org/10.1002/9781394167401

Commercial applications of quantum computing

Francesco Bova, Avi Goldfarb B, Roger G. Melko • EPJ Quantum Technology (2021)

Despite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that som...

OPENALEX cc-by DOI: https://doi.org/10.1140/epjqt/s40507-021-00091-1 PMC: 7853709

Machine learning in cybersecurity: a comprehensive survey

Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology (2020)

Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...

OPENALEX DOI: https://doi.org/10.1177/1548512920951275

Knowledge management in software engineering

Ioana Rus, Mikael Lindvall • IEEE Software (2002)

Software organizations’ main assets are not plants, buildings, or \nexpensive machines. A software organization’s main asset is its intellectual \ncapital, as it is in sectors such as consulting, law, investment \nbanking, and advertising. ...

OPENALEX DOI: https://doi.org/10.1109/ms.2002.1003450

Do Risk Disclosure and Firm Value Drive Indonesian Bank Stock Returns?

Salsabila Ahadia Rahmah, Linda Ariany Mahastanti • Review of Management and Entrepreneurship (2026)

Investors are increasingly concerned about risk transparency and cybersecurity disclosure as the banking sector becomes more digitalized. The purpose of this study is to look at how firm value, required risk disclosure, and cyber risk discl...

DOAJ Open Access (DOAJ) DOI: 10.37715/rme.v10i1.6604

Fraud detection with natural language processing

Petros Boulieris, John Pavlopoulos, Alexandros Xenos, Vasilis Vassalos • Machine Learning (2023)

Abstract Automated fraud detection can assist organisations to safeguard user accounts, a task that is very challenging due to the great sparsity of known fraud transactions. Many approaches in the literature focus on credit card fraud and ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10994-023-06354-5

Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture

B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance (2026)

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iref.2026.104916

Artificial Intelligence and Systemic Risk

Jón Danı́elsson, Robert Macrae, Andreas Uthemann • Journal of Banking & Finance (2019)

Artificial intelligence (AI) is rapidly changing how the financial system is operated, taking over core functions for both cost savings and operational efficiency reasons. AI will assist both risk managers and the financial authorities. How...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jbankfin.2021.106290