The Influence of ZakÄ t Management Institutions on ZakÄ t Compliance Intention During the COVID-19 Lockdown in Malaysia: A Multilevel Analysis

Mohamad Syahmi Mat Daud and Hairunnizam Wahid

SAGE Open, 2025, vol. 15, issue 1, 21582440251324979

Abstract: In Malaysia, zakÄ t institutions (ZIs) have experienced significant growth in serving the poorest and neediest. Presently, there exist three distinct categories of zakÄ t management institutions (ZMI) established in Malaysia: corporatized, semi-corporatized, and non-corporatized. This study raises the question of whether the types of ZMI influence the zakÄ t behavioral intention since the pandemic lockdown in Malaysia. By utilizing 322 observations, the data is organized into a multilevel structure where individual compliance intentions are nested within the ZMI units. The analysis indicates that the type of ZMI has an influential effect on the association of attitude, subjective norm, and perceived behavioral control toward zakÄ t compliance intention. Besides that, the exogenous variables are also positive and significantly associated with the endogenous variables. The findings suggest that ZMI in Malaysia should build, maintain, and enhance trust that will positively modify the behavioral intentions of zakÄ t payers. The policies also must be tailored to improve the good governance of ZIs, which can influence compliance from low intention to high intention. This study provides new and current insight into zakÄ t compliance behavior and zakÄ t institutions in Malaysia during the crisis outbreak.

Keywords: zakÄ t management institution; zakÄ t compliance intention; COVID-19; multilevel analysis; Malaysia (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440251324979 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:1:p:21582440251324979

DOI: 10.1177/21582440251324979

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().