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Emerging Trends in Sustainable Entrepreneurial Behavior: Bibliometric Data Insights
Get PDFThe present study explores the current trends in sustainable entrepreneurial behavior to contribute fundamental knowledge for future academic research in the dynamic field of sustainable entrepreneurship. This study employs a bibliometric analysis using the Scopus database to identify significant changes and emerging topics in academic discourse about the selected keywords. By employing a systematic approach, one can attain a comprehensive understanding of the subject matter and establish a solid foundation for subsequent research. The analysis comprises a total of 666 articles obtained from Scopus. This study utilizes methodological tools like Microsoft Excel, Harzing’s Publish or Perish program, and VOS viewer. These tools were used to quantify and evaluate citation frequencies. This method enables the assessment of the academic output and influence exerted by document type, evolution of published studies, subject area, and prominent keywords. Nevertheless, there are several constraints associated with this study, including the omission of articles published after 2022 and a specific emphasis on English-language publications from 1991 to 2022. Notwithstanding these limitations, there has been a substantial and continuous academic emphasis on the study of sustainable entrepreneurial behavior. Future research should investigate sustainable behavior within the context of social entrepreneurship. The government and policymakers have the ability to significantly contribute to the creation of an ecosystem that promotes sustainable entrepreneurship and sustainable development
Factors Influencing Tourists’ Satisfaction on Electric Train Service (ETS)
Get PDFThis study investigates the use of Electric Train Services (ETS) railway service by tourists. It seeks to understand factors influencing tourists’ satisfaction with ETS train services. Data were collected from a survey with convenience and purposive sampling by selected tourists in ETS station in Kuala Lumpur Sentral. Theoretical frameworks for research units like the four dimensions of the level of satisfaction (accessibility, service quality, traveling comfort, cost). 213 respondents were gathered through a combination of a direct approach and an online survey using Google Forms. The data collected was analyzed using SPSS 27 and Excel. The findings revealed strong correlations between all the listed aspects and tourist satisfaction. Overall, tourists were highly satisfied with the ETS train services at KL Sentral. Consequently, this study contributes to our understanding of how tourists perceive and experience the ETS service. The conclusion of the study delves into the results obtained and explores potential implications and future possibilities
Determinants of Capital Structure from Malaysian Shariah-Compliant Food and Beverages Firms
Get PDFThis paper addresses the dearth of empirical research on the capital structure of Shariah-compliant food and beverage (F&B) firms in Malaysia. Despite the industry's dynamic growth, specific financing needs, and adherence to Shariah principles, a comprehensive investigation into the determinants of their capital structure choices is lacking. By exploring factors such as profitability, tangibility, growth opportunities, liquidity, and firm size, this paper aims to provide valuable insights into the financial strategies of these specific entities and fill crucial knowledge gaps in empirical evidence. The study employs panel data, a combination of cross-sectional and time-series data, with a sample comprising 24 Shariah-compliant F&B firms listed on Bursa Malaysia, totalling 240 observations. Quantitative methods are applied using secondary data sourced from the Eikon database and financial statements in the annual reports of Bursa Malaysia-listed companies from 2013 to 2022. The findings reveal that profitability, tangibility, liquidity, and firm size significantly impact the capital structure choices of Shariah-compliant F&B firms, while growth opportunities emerge as an insignificant factor. These results support the application of the trade-off theory for profitability and the pecking order theory for tangibility, liquidity, and firm size, shedding light on the nuanced financial decision-making processes within this sector
The Effect of Liquidity M3 and Exchange Rate on Sukuk Market Size in Malaysia in Short-Term and Long-Term
Get PDFThe increase in the size of the sukuk market has become large with time and takes its place among the important topics that need to be studied and developed. This study focuses on the impact of some financial factors on the size of the sukuk market in Malaysia, as it is a leader in the Islamic financial industry, especially the sukuk sector. This study attempts to reveal the relationship between the factors of exchange rate and liquidity M3 as independent variables, and the size of the sukuk market as a dependent variable. This study uses the model of Autoregressive Distributed Lag (ARDL) as well as the test of cointegration to know the relationship between the variables of the study in both short-term and long-term. By examining monthly time series data starting from 04/2011 till 12/2020. The findings appear that the variables of the study have a cointegration relationship in the long run. In the short run, the exchange rate affects the size of the sukuk market significantly negatively, while liquidity M3 influences the sukuk market size positively insignificant. In the long run, the exchange rate has a positive significant effect on the sukuk market size, while the impact of liquidity M3 on the market size of Sukuk is non-significant
Enhancing Supply Chain Efficiency: Implementation of Vendor Managed Inventory in Inventory Routing Problem
Get PDFThis article explores the integration of Vendor Managed Inventory (VMI) into the framework of the Inventory Routing Problem (IRP) as a strategic approach to enhance supply chain efficiency. VMI involves suppliers taking an active role in managing customer inventory levels and fostering real-time communication and data sharing. The Inventory Routing Problem addresses the challenge of optimizing delivery routes while simultaneously managing inventory levels. The benefits of implementing VMI in IRP include improved demand forecasting, reduced stockouts and overstock situations, and optimized routing and transportation. The study applies a method that strategically integrates Vendor Managed Inventory (VMI) into the Inventory Routing Problem (IRP) framework, utilizing real-time data sharing and optimized routing algorithms to enhance supply chain efficiency. This approach is evaluated through research findings highlighting its benefits and implementation challenges. Thus, we discuss the potential advantages and challenges associated with this integration. While VMI in IRP offers substantial benefits, data security, cultural shifts, and IT system integration must be addressed for successful implementation. This article provides insights into the promising synergy between VMI and IRP, offering organizations a competitive edge in the dynamic supply chain management landscape
Forecasting Short-Term FTSE Bursa Malaysia Using WEKA
Get PDFThis study investigates the use of machine learning methods, specifically utilizing the WEKA software, to predict stock prices of the FTSE Bursa Malaysia Kuala Lumpur Composite Index (KLCI). Two algorithms, Sequential Minimal Optimization Regression (SMOreg) and Multilayer perceptron (MLP), were employed for data analysis. Historical data from January 3, 2023, to December 29, 2023, was used to forecast open, high low, and close prices for ten days. Results from both algorithms were compared, with SMOreg proving to be more accurate than MLP for the dataset. However, it's important to note that further exploration of different forecasting algorithms may lead to even more precise results in the future. The findings of this analysis hold significant implications for investors, as they can use the insights gained to inform their investment strategies. By leveraging machine learning techniques like SMOreg within the WEKA framework, investors can potentially make more informed decisions regarding their stock market investments, leading to improved portfolio performance and risk management
Impact of Self-Efficacy and Self-Regulated Learning on Satisfaction and Academic Performance in Online Learning
Get PDFDuring the COVID-19 pandemic, universities widely adopted online and blended learning highlighting the need to investigate students’ self-efficacy and self-regulation in such an environment. This study examines the impact of self-efficacy and self-regulated learning on students’ satisfaction and academic performance in online learning contexts. Data were collected from 442 university students across various disciplines focusing on six dimensions of online learning self-efficacy and self-regulated learning. The findings reveal that both online learning self-efficacy and online self-regulated learning are at high levels for students in general, with no significant gender differences. Younger students, those in lower semesters and those with reliable internet connectivity exhibited higher levels of these attributes. Non-graduates demonstrated greater self-efficacy in social and academic interaction while management science social science and humanities students exhibited higher levels of online self-regulated learning. Further analysis shows that total online learning platforms used and online learning quality significantly predicted both self-efficacy and self-regulated learning. However, the total semesters using online learning and total online courses taken had no significant effect on these factors. Online self-regulated learning was strongly determined by self-efficacy. Self-efficacy in computer or internet, in the online learning environment, and in time management were significant predictors of online learning self-efficacy. In contrast, environment structuring, time management, goal setting and help-seeking were significant predictors in online self-regulated learning. Self-efficacy in time management and environment structuring were the highest contributing factors for online learning self-efficacy and online self-regulated learning respectively. However, only online self-regulated learning significantly influenced academic performance
Online Student Engagement and Entrepreneurial Intention: Mediating Role of Individual Entrepreneurial Orientation
Get PDFUsing new digital technology in education has become a reality everyone must accept with the development of Education 5.0. Moreover, online learning is no longer alien to most university students after the COVID-19 pandemic. Currently, the traditionally practical-focused entrepreneurship course is also available online. However, little extant literature has investigated student engagement in online learning. Therefore, this paper aimed to establish a new model to show how student engagement in online learning affected individual entrepreneurial orientation (IEO) and entrepreneurial intention (EI). This paper employed the online student engagement (OSE) model, the concept of IEO and the Theory of Planned Behavior (TPB) in developing the research model. The data were analyzed using partial least squared-structural equation modeling (PLS-SEM). The results indicated that IEO positively affected two elements of OSE, namely emotion and participation. A positive relationship was found between IEO and EI. It further found that IEO mediated the relationships between emotion and EI as well as between participation and EI. Therefore, it concluded that IEO was a crucial determinant of EI and it enhanced the relationship between OSE and EI. This paper produced both literature and practical outcomes. Literary, it produced a new model which explained the relationships among OSE, IEO and EI. Practically, it identified critical factors that higher education institutions could take into consideration in developing student entrepreneurs. It was also critical in supporting Malaysian governmental agendas that focused on developing competitive entrepreneurs, such as the Economic Transformation Program (ETP) and Malaysia Education Blueprint 2015-2025 (Higher Education)
Understanding the Dynamics Between Monetary Policy and Interest Rate Spreads in Uganda: A Quantitative Study
Get PDFThis study delves into the intricate relationship between monetary policy variables and interest rate spreads in Uganda's financial sector. It examines the impact of the rediscount rate, inflation, money supply, and the Real Effective Exchange Rate on interest rate spreads. Findings indicate that while short-term changes in the rediscount rate have a limited effect on interest rate spreads, higher rates widen spreads in the long term as banks adjust strategically. Initially, inflation narrows spreads, but persistent high inflation widens them over time as banks hedge against inflation risk. Moreover, an increase in money supply reduces spreads in the short run but has diminishing effects over time. Recommendations include transparent adjustments of the rediscount rate, robust inflation targeting frameworks, and vigilant monitoring of the money supply to support economic growth and financial stability. Overall, this study provides insights for policymakers and financial institutions, emphasizing the importance of considering both short-term and long-term effects in monetary policy adjustments for Uganda's economic stability
Navigating the Path to Equitable and Sustainable Digital Agriculture among Small Farmers in Malaysia: A Comprehensive Review
Get PDFThe agriculture sector has transformed with the advent of digital agriculture, smart farming and Agriculture 4.0, yet the social science aspects remain underexplored. This article aims to address this gap by conducting a comprehensive review of 17 studies that focus on the social, economic, and institutional dimensions of precision farming, digital agriculture, smart farming and Agriculture 4.0. The objectives are to explore the dynamics between digital agriculture and farm diversity and to identify emerging concerns related to economics, business, institutions, and ethics. Methodologically, the review synthesizes existing literature on socio-cyber-physical-ecological systems, digital agriculture policy processes, the transition from analog to digital agriculture and the global landscape of digital agriculture development. It adopts a multidisciplinary and transdisciplinary approach to provide a holistic understanding of the topic. The outcomes reveal significant implications for policymakers, farmers, and stakeholders in the agriculture sector. Key findings highlight the necessity of addressing social and economic impacts, such as data privacy, security, and accessibility, and the effects of automation on rural employment and community structures. The review emphasizes the importance of developing institutional and governance frameworks to support digital agriculture practices and tailoring policies to promote sustainable and equitable use of digital technologies. It explores how infrastructure, connectivity and local capacities influence the adoption of digital agriculture technologies. The review advocates for further research on the intersection of digital agriculture with broader societal trends, such as climate change, urbanization, and food system transformations, to develop strategies for sustainable and resilient food systems