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Microcredit Programmes Publication Trends, its Contributions and Future Research Directions: A Bibliometrics Study from 2000 to 2021
Get PDFThis study aims to provide insight into the publication trends of microcredit programmes from 2000 to 2021. This study conducted a bibliometric analysis of 1,241 scholarly works related to microcredit programmes as recorded in the Scopus database in September 2022. Specifically, this paper will analyse the evolution of microcredit programmes research by examining (a) document and source types, (b) year of publications and languages, (c) types of sources and subject area, (d) keyword analysis, (e) geographical distribution and citation analysis as well as (f) citation clustering analysis. The results of the bibliometric study provide important information on publications’ current and future trends in the field of microcredit programmes. Based on the data, the number of publications on microcredit programme research has fluctuated over 21 years since 2000. The results, also, present the United States as the largest contributor to microcredit
programmes research, followed by India. Meanwhile, the Journal of World Development published the most publications related to research on microcredit programmes. The implications of this study indicate the evolving nature of microcredit programme research and the need for continuous exploration and analysis in this field. Understanding publication trends, identifying leading contributors, and to considering additional databases for research can contribute
to the development of current and future studies on microcredit programme
Are There Any Differences in the Continuous Usage Intention of E-Wallet Users?: The Case of Seoul and Jakarta
Get PDFThe unstoppable use of the Internet, especially in big cities, has led to changes in payment patterns and financial transactions. Originally, wallets have transitioned to electronic wallets, driven by perceived benefits, ease of use, and social influence among e-wallet users. Therefore, it is crucial to investigate the intention to continuously use e-wallets among young people who have become accustomed to Internet usage. The method employed for processing the data collected through questionnaires is SEM-PLS. The research sample consisted of 240 young e-wallet users in Seoul and Jakarta who participated in the study. The results showed a discrepancy in the effect of perceived ease of use on the continuous usage intention of e-wallets among the young users in the two cities. Young users in Seoul found e-wallets easy to use, whereas users in Jakarta perceived the opposite. However, the perceived usefulness and social influence had a positive and significant effect on the continuous usage intention of e-wallets in both cities. This indicates that Generation Z believes e-wallets will continue to be used due to their benefits and the influence of social factors. This implication underscores the penetration of Internet users and mobile applications associated with e-wallet users. The findings of this research hold significant importance for the rapidly expanding e-wallet industry today, serving as a valuable reference for the development of the e-wallet marke
Market Reaction to the Implementation of Basel Capital in South African Banks: Event Study Approach
Get PDFThis study investigated stock market reaction and the effect of the implementation of Basel II and Basel III on stock returns of South African banks. In achieving this aim, this study focused on daily and annual data of six commercial banks from 3rd January 2004 to 31st December 2022. The event study methodology was employed to
identify abnormal returns around the specified event dates. The effect of the changes in Basel capital requirements on stock returns was not uniform across the four events. The market reacted favourably to the implementation of the Basel II requirements in the country. There was a significantly negative market reaction to the subsequent full implementation of Basel III official. Finally, higher Basel capital requirements (CAR) was associated with lower bank stock returns. The findings implied that bank regulators increase capital to strengthen the banking system but constrain the maximisation of shareholders’value
An Enhanced Ant Colony Optimisation Algorithm with the Hellinger Distance for Shariah-Compliant Securities Companies Bankruptcy Prediction
Get PDFThis study addresses the challenge of applying ant colony optimisation algorithms to imbalanced datasets, focusing on a bankruptcy dataset. The application of ant colony optimization (ACO) algorithms has been limited by their performance on imbalanced datasets, particularly within bankruptcy prediction where the some of bankruptcy cases lead to skewed data distributions. Traditional ACO algorithms, including the original Ant-Miner, often fail to accurately classify minority classes, which is a critical shortcoming in the context of financial distress analysis. Hence, this study proposes an improved algorithm, the Hellinger Distance Ant-Miner (HD-AntMiner), which employs Hellinger distance as the heuristic for ants to gauge the similarity or dissimilarity between probability distributions. The effectiveness of HD-AntMiner is benchmarked against established classifiers—PART and J48—as well as the conventional Ant-Miner, using public datasets and a specialized dataset of 759 Shariah-compliant securities companies in Malaysia. Utilising the Friedman test and F-score for validation, HD-AntMiner demonstrates superior performance in handling imbalanced datasets compared to other algorithms, as affirmed by the Friedman test. The F-score analysis highlights HD-AntMiner’s excellence, achieving the highest F-score for Breast-cancer and Credit-g datasets. When applied to the Shariah-compliant dataset, HD-AntMiner is compared with Ant-Miner and validated through a t-test and F-score. The t-test results confirm HD-AntMiner’s higher accuracy than Ant-Miner, while the F-score indicates superior performance across multiple years in the Shariah-compliant dataset. Although the number of rules and conditions is not statistically significant, HD-AntMiner emerges as a robust algorithm for enhancing classification accuracy in imbalanced datasets, particularly in the context of Shariah-compliant securities prediction
Requirements of Enjoyable Mobile Learning Applications for Deaf Children
Get PDFIn the domain of mobile learning applications for deaf children, many studies are more concerned with the development of mobile learning applications for deaf children than with determining what makes them enjoyable for this group of children. Some of these learning applications do not meet the needs of deaf children for learning since the requirements were not collected from the actual deaf children. As a result, many deaf learning applications are still not gaining much popularity among people who are deaf or hard of hearing due to the application due to the applications’ inability to meet their expectations and needs. Hence, this paper aims to identify the requirements for designing an enjoyable mobile learning application for deaf children. In achieving this goal, it is essential to identify the requirements of deaf children on mobile learning applications from their own everyday experience and support these identified needs with requirements gathered from their parents and teachers and literature. Three methods were conducted for this study to identify and synthesise these requirements: (1) Fun Sorter data collection method was conducted among the deaf children, whose ages are between 7 and 12 years old; (2) an interview involving teachers and parents of deaf children; and (3) a literature review on deaf children’s learning. The identified requirements were verified through a focused group attended by eight mobile learning developers. The finding identified six requirements: multimedia elements, games, easy-to-use, simple tasks, guidance, and alerting. These requirements serve as crucial guidelines for mobile app developers, enabling the creation of enjoyable learning
applications designed specifically for deaf children. Furthermore, these requirements can potentially improve the learning journey of
deaf children, offering them valuable benefits and enhancing their educational experiences
The Inclusion of Disaster Risk Reducation in Classroom and Extra-Curricular Activities: A Case of Rural Balochistan, Pakistan
Get PDFAbstract
Purpose – Balochistan, which makes up roughly 44 percent of Pakistan’s total land area, is home to 6 percent of the nation’s inhabitants. Due to long distances and low population density, service delivery is particularly challenging. The province’s educational services are impacted by natural disasters like earthquakes, floods, droughts, and migration. Disaster risk reduction is a widely recognized concept that emphasizes appropriate education to lower an individual’s personal, familial, and communal vulnerability. The role of the school is crucial in Disaster Risk Reducation (DRR) education. As a result, the study’s goal was to explore the approaches adopted for the inclusion of DDR through teaching in classroom and school activities.
Methodology – A focus group discussion with three groups of Pakistan studies and Geography teachers was conducted that consisted of 10 male and 14 female members.
Findings – Findings demonstrate that the current textbook continues to teach students less about disaster risk reduction; teachers include knowledge from their personal experience in planning lessons about DRR. School assemblies, child clubs and activities designed by school management, and social organizations play a prominent role in DRR education. Further, the role of teachers and school management was identified in psycho-social support during disasters and pandemics.
Significance – The study concludes that in addition to extracurricular activities and the teacher’s role, prior disaster experience, school, and social organization played a significant role in DRR education in rural Balochistan. The study results will assist curriculum developers, policymakers, and education leadership in developing more effective school disaster management plans. The results will also clarify how schools and teachers can close the knowledge gap in disaster preparedness education. Organizations working on disaster risk education and education in emergencies will also benefit from additional research to respond to the need readily and effectively
Impact of Productivity, Corruption, And Growth On Debt: Evidence from Panel Data Analysis
Get PDFIn a number of nations, the economic uncertainty that began several years ago has manifested its negative effects, and the COVID-19 crisis has exacerbated the situation. Many nations struggle to finance their social and economic public healthcare due to limited resources and fiscal space. In order to save their economies, this has pushed them towards high levels of debt. This study’s objective is to examine the effect of government debt on productivity, GDP growth, tax revenue, and corruption. Panel data analysis was used to identify the significant factors that affect government debt in 16 Western European countries based on their severe subprime crisis in 2008 and sovereign debt in 2009, which fall between the timeframes of this study. The findings revealed that government debt impacts productivity, GDP growth, and corruption. As a result, effective productivity control is critical when dealing with government debt. Efforts to develop world-class human capital, equipped with sophisticated skills or talent management, in order to increase a sector’s income and competitiveness should be aligned with efficient and effective public spending. Public projects must be thoroughly evaluated and monitored in terms of feasibility, economic and social returns. As a consequence, this study suggests that a profound and comprehensive reformation across various sectors in the country is required, particularly through productivity, growth, and corruption, in order to control a country’s debt
Bicara Cendekiawan MAAC 2024 – Universiti di Malaysia: Cita-cita dan Hala Tuju
No full textAhli Panel:
PROF. EMERITUS DR. BARJOYAI BARDAI
Profesor Emeritus
Al-Madinah International University
PROF. DATUK TS.DR. AHMAD FAUZI ISMAIL
Naib Canselor
Universiti Teknologi Malaysia
PROF. DATO’ IR DR. MOHD SALEH JAAFAR
Pro Vice-Chancellor
UCSI University Bangladesh Branch Campus
Fellow, Akademi Profesor Malaysia (APM)
Moderator:
PROF. DR. NUARRUAL HILAL MD DAHLAN
Timbalan Presiden MAAC, sesi 2022-2024
Profesor, Pusat Pengajian Undang-undang, UU
Revisiting Weak-Form Efficiency of Major Sectors of Malaysia During the Covid-19 Period
Get PDFThere are plenty of literature on the efficient market hypothesis (EMH) especially for a stock market, but relatively fewer studies for across sectors. We look into the weak-form informational efficiency for twelve sectors in the Malaysia’s stock exchange, i.e. Consumer Products & Services (KLCSU), Construction (KLCON), Energy (KLENG), Financial Services (KLFIN), Health Care (KLHEAL), Industrial Products & Services (KLPRO), Property (KLPRP), Plantation (KLPLN), Transportation & Logistics (KLTRAN), Telecommunications & Media (KLTEL), Utilities (KLUTL), and Technology (KLTEC) during the outbreak of COVID-19 pandemic. We use QTEST (without trend) and TQTEST (with trend) which incorporate two structural breaks to carry out the analysis. Data are collected from 1/1/2020 through 31/3/2022. These indices show non-linearity and structural breaks in data. The findings of our study suggest mixed results in regard to informational efficiency when breaks are taken. Four indices, i.e. KLCON, KLFIN, KLPRP, and KLUTL are found to be inefficient while the remaining eight sectors are found to be efficient. Investors can predict the movements of stocks in the inefficient indices and are able to gain abnormal returns from these stocks. Policymakers may encourage investors to have more trades; so that to make the market more efficient by gradually eliminating the opportunities on earning abnormal returns