Bangladesh Journal of Multidisciplinary Scientific Research

DRIVERS INFLUENCING THE USAGE INTENTION TOWARDS ONLINE ZAKAT PAYMENT SYSTEM: EVIDENCE FROM MALAYSIA

Mon, 03 Feb 2025 15:57:24 +0000

A digital zakat system significantly enhances zakat collection by streamlining the process, making it more accessible, transparent, and efficient for both zakat payers and zakat institutions. Through digital platforms, individuals can easily calculate, pay, and track their zakat contributions in real time. However, it faces challenges as some zakat payers remain reluctant to use online platforms due to concerns about security and the traditional nature of their giving. Thus, this study investigates how socio-economic determinants, perceived risk, trust in zakat institutions, zakat literacy, and prior experience affect zakat payers' intention to use online zakat payment systems. Data were gathered via an online survey of 288 zakat payers in Malaysia, with cluster sampling used to select participants from government and private sectors across Perak, Selangor, and Kelantan. SmartPLS was used for the analysis. The results indicate that perceived risk has a significant and negative impact on the intention to use online zakat payment services, highlighting the importance of addressing concerns related to risk perception in promoting their adoption. On the other hand, trust in zakat institutions, zakat literacy, and prior experience exhibited positive and significant relationships with zakat payers' intention to utilize online zakat payment services. The findings suggest that institutions mitigate perceived risk, strengthen institutional trust, increase zakat literacy, and leverage users' prior experience to enhance online zakat system adoption. This study contributes significantly to understanding the factors influencing the adoption of online zakat payment services to inform strategies to boost the utilization of online zakat payment services in similar developing country settings.

JEL Classification Codes: M430, G32.

EVALUATING THE IMPACT OF CHATGPT IMPLEMENTATION ON HR PERFORMANCE SKILLS: A CASE STUDY OF ACADEMIC INSTITUTIONS IN OMAN

Boumedyen Shannaq, Ahmed Alabri — Wed, 05 Feb 2025 16:12:30 +0000

Academic institutions increasingly integrate AI-driven tools like ChatGPT to enhance HR performance. However, the effectiveness of such adoption depends on various factors. The study investigates the impact of ChatGPT implementation on HR performance skills in Omani academic institutions, with user training, system usability, and cultural factors as moderating variables. Using a structured questionnaire, this study employs survey data collected from 791 HR staff from five academic institutions. Structural Equation Modeling (SEM) was used to examine direct and indirect relationships within the proposed framework and test the conceptual model. The outcomes show that implementing ChatGPT enhances the performance of HR skills predictably (B = 0.092, P = 0.003). User training showed a partial mediation effect (B = 0.090, t = 4.615, P = 0.000), which is evident as a key facilitator of the relationship between ChatGPT adoption and HR outcomes. In the same way, system usability was found to have a lesser but significant partial mediation effect (B = 0.019, t = 1.715, P = 0.043). However, organizational culture did not moderate the relationship significantly, B = 0.005, t = 0.922, P = 0.178. The findings of this study suggest that integrating AI-enabled tools like ChatGPT in academic HR settings requires a user-centered system development approach and targeted training. The results contribute to the literature by establishing a theoretical foundation for understanding how technology applications influence institutional efficiency and goal attainment, particularly in regions where education significantly impacts socio-economic development.

JEL Classification Codes: G32, F65, L66, L25, M41.

UNVEILING THE KEY PERFORMANCE INDICATORS OF SMALL AND MEDIUM-SIZED ENTERPRISES IN THE FOOD INDUSTRY: A COMPREHENSIVE REVIEW

A. Hanna, A. Dunstan Rajkumar — Wed, 05 Feb 2025 00:00:00 +0000

Small and medium-sized enterprises (SMEs) play a vital role in the global economy, particularly in the dynamic and competitive food industry. Various internal and external factors impact the success and longevity of food-based SMEs, making it essential to identify and understand these critical elements. Despite extensive research on SMEs across different sectors, there is a lack of studies focused explicitly on food-based SMEs. This research seeks to address this knowledge gap by exploring the factors influencing food SME performance through a bibliometric analysis to uncover emerging trends, research gaps, and key growth drivers. The study employs a bibliometric approach to analyze a broad range of academic literature, highlighting influential journals, leading authors, regional research trends, and performance metrics contributing to understanding food SMEs' success. Key performance indicators include innovation, sustainability, lean operations, entrepreneurial dimensions, market orientation, value co-creation, service quality, quality management, value chain, and organizational effectiveness. These factors help food SMEs navigate market complexities, adapt to changing consumer preferences, and enhance their competitiveness. The study also includes a systematic review of the 30 most-cited articles to assess factors shaping SME success critically. The research underscores the importance of operational efficiency and the need for SMEs to implement lean strategies to maintain agility and resource efficiency. This study contributes to a more comprehensive understanding of the factors driving food SME growth and performance, addressing critical research gaps and fostering a more resilient ecosystem for food-based enterprises to thrive in the global marketplace effectively.

JEL Classification Codes: M1, M2, L1, L2, L6.

IMPACT OF GREEN FINANCE ON ENVIRONMENTAL AND SOCIAL RISK MANAGEMENT INFLUENCING PERFORMANCES OF BANKS: EVIDENCE FROM BANGLADESH

Wed, 05 Feb 2025 00:00:00 +0000

The growing emphasis on green finance (GF) presents significant attention for banks as they navigate environmental and social risk management (ESRM) while striving for financial performance. Emerging the global phenomenon with respect to environmental issues focuses on highlighting the study of GF with ESRM, which leads to the profitability and non-performing loans of banks. This study investigates the impacts of GF on ESRM and, in turn, impacts the performance-profitability and non-performing loans of banks, providing empirical evidence from Bangladesh. This study employs the numerical data collected from annual reports of the central bank- Bangladesh Bank, from 2015 to 2023. The study has focused on variables such as GF sectors, environmental and social risk management, profitability, and non-performing loans. Regression models (Panel ordinary least square, quarantine regression, fixed effect model, random effect model, and panel generalized method of the moment) are employed to examine the effects of GF on ESRM and the impact of ESRM on performance - profitability and non-performing loans. The result shows that GF significantly influences ESRM because the p-value is 0.00≤p-value≤.0.10, rejecting the null hypothesis. ESRM has a significant impact on the performance of banks as a mediating factor with a p-value of 0.00≤p-value≤ 0.10. The findings of this study suggest that GF practices significantly enhance ESRM, which impacts the performance of banks and provides valuable insights for policymakers, regulators, and banking stakeholders in mitigating environmental and social risks and improving the performance of banks.

JEL Classification Codes: C58, G21, Q53.