Cash waqf means movable property which is structured by money and it is contributed for the waqf project development. To achieve this objective, committed endowers are needed to contribute continuously to ensure sufficient funds for waqf projects development in the future. Therefore, this study investigating the factors that determine the endowers' intention to re-contribute to cash waqf by employing Extended Theory of Planned Behaviour (TPB). Data were collected through the survey questionnaires which is distributed to 374 endowers who are existing endowers. The result indicates that all variables predict the dependent variable. These results show that extended TPB is crucial in describing the repeated endowers' donation intention in cash waqf. The result provide important insight for MAIPk to develope an effective marketing strategy to keep endowers contribute constantly in the future.

Learning to categorize requires distinguishing category members from non-members by detecting the features that covary with membership. Human subjects were trained to sort visual textures into two categories by trial and error with corrective feedback. Difficulty levels were increased by decreasing the proportion of covariant features. Pairwise similarity judgments were tested before and after category learning. Three effects were observed: (1) The lower the proportion of covariant features, the more trials it took to learn the category and the fewer the subjects who succeeded in learning it. After training, (2) perceived pairwise distance increased between categories and, to a lesser extent, (3) decreased within categories, at all levels of difficulty, but only for successful learners. This perceived between-category separation and within-category compression is called categorical perception (CP). A very simple neural network model for category learning using uniform binary (0/1) features showed similar CP effects. CP may occur because learning to selectively detect covariant features and ignore non-covariant features reduces the dimensionality of perceived similarity space. In addition to (1) – (3), the nets showed (4) a strong negative correlation between the proportion of covariant features and the size of the CP effect. This correlation was not evident in the human subjects, probably because, unlike the formal binary features of the input to the nets, which were all uniform, the visual features of the human inputs varied in difficulty.

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Islamic waqf bank is a special designed financial institution in Islam. This bank will benefit the students and also their parents, due to its unique structure that could finance student's education in term of fees and cost of living. Islamic waqf bank use the concept of cash waqf in terms of funding the education. The gifted capital or cash waqf was "transferred" to borrowers for certain period, which was then spent for all sorts of pious and social purposes inclusive for the investment objectives. It is recognized that there is no ample study in the area of cash waqf especially for managing Islamic waqf bank institution. Therefore, the study for managing cash waqf fund through Islamic waqf bank is essential in order for the fund to be use efficiently. The objective of this article is to explore the relief of higher education loan through Islamic waqf bank.

Zakat in Islam has historically been a vital institution in fulfilling religious needs and social welfare. Its effectiveness in medieval and modern Islam is evident. However, this institution is seemingly not without inefficiencies. Ineffectiveness distribution process and lack of transparency in the zakat management are commonly cited as key impediments (bin Khatiman et al., 2021). Blockchain is expected to solve these issues due to its ability to record and trace every transaction, allowing administrators to discharge their accountability to zakat stakeholders. Thus, this study intended to develop a zakat collection blockchain system with the aim to provide economical and integrated continuous real-time zakat transactions, transparency and traceability by developing smart contracts in zakat management. The study employed four stages of process based on waterfall model starting from the interview session and analyse of the standard operating procedure (SOP) on zakat collection in the Zakat Collection Centre or Pusat Pungutan Zakat-Majlis Agama Islam Wilayah Persekutuan (PPZ-MAIWP). Then, design requirement specification (DRS) is employed after being reviewed and approved by PPZ-MAIWP. The results show that the development of blockchain in the zakat collection system could be eradicating extreme poverty and boost shared prosperity among the community in the country. The study contributes through a transparent and reliable environment for exchanging data and carrying out transactions through a decentralized digital ledger technology to record anything of value and as a result able to ensure transparency, reliability, trust ability and traceability of the zakat transactions.