Motivation is a crucial factor in online learning as it can significantly impact the student’s engagement and success. Some students may be more motivated by a need for affiliation and social connection, while others may be more motivated by a need for achievement and recognition, or a need for power and autonomy. Thus, this quantitative study aims to explore the perception of learners on their learning motivation by examining how affiliation, achievement, and power influence learners’ motivation. A total of 208 respondents from public and private universities in Malaysia were gathered using a questionnaire that was adapted from a previous study by (Fowler, 2018). There are seven sections with related questions to measure the three types of factors that affected learning motivation. In general, the results revealed there is a significant association between affiliation, achievement, and power in learning motivation. By understanding the findings of this study, instructors might be able to design interventions and strategies to enhance learner motivation. Then, by recognizing the importance of affiliation, achievement, and power in learning motivation, policymakers may consider designing education frameworks that prioritize the supportive learning environment and promote student engagement and motivation.

Nowadays, people prefer to order food online since it is more convenient, especially university students who typically have a full schedule of assignments, courses, and club activities. Customers will find that placing their orders online and picking them up at the stand will be the most convenient and time-saving option. The aim of this study is to developed a campus-wide online food ordering system using a chatbot called FoodieRunBot that delivers food orders to faculty, staff, and students at Universiti Sains Islam Malaysia (USIM). In order to save time and effort, customer service needs to be automated. Throughout the shopping process, this chatbot might help the customer. FoodieRunOwner was created in order to assist stall owners in viewing and deleting orders from their stalls. The waterfall method is being used for this project to ensure sure the system development goes according to schedule and without hiccups. The four basic phases in this methodology are planning, requirements gathering, design, implementation, testing, and maintenance. Additionally, it helps entrepreneurs in USIM with better system-wide revenue development, customer engagement, and product promotion. Students at USIM were given a Google Form survey to complete in order to evaluate the system using the user acceptance test methodology. The results show that the system function has fully achieved all of its goals and specifications. Most of them agree that all of the issues associated with conventional ordering systems in USIM have been fixed with FoodieRunBot.

The purpose of this research is to investigate the relationship that exists between hygiene factors and job satisfaction (JS)among the Royal Malaysian Navy (RMN) personnel in the workplace. The focus shall be directed toward the diligent personnel on board at Lumut Naval Base. The present study adopts a quantitative analysis methodology, employing a straightforward descriptive approach and correlation analysis through SPSS 23, wherein a sample of 220 employees was randomly selected for analysis. The empirical evidence suggests that there exist notable associations between job satisfaction (JS) and various factors, namely company policy, salary and benefits, and interpersonal relationships. The variables of job security and working conditions do not exhibit a statistically significant correlation with job satisfaction. The findings of this study suggest that there exists a noteworthy correlation between variables towards Job Satisfaction (JS). Therefore, there is no significant correlation between Job Security and Working Conditions in JS. The study's impact extends beyond the organization, encompassing the broader field, as it adds to the body of literature about the research elements. The utilization of models and theoretical frameworks in prospective investigations presents a distinct point for comprehending and interpreting phenomena that represents a noteworthy innovation within the context study.

The lack of money management among youthhas become a growing concern. The issue cannot be solved simply by providing more savings and spending more money on development and management. There is an urgent need for a better understanding of the current and potential role of financial planning in meeting the needs of life, especially when any shock occurs in a country. Thus, adopting a strategic approach needs to be planned and managed so that the youth generation can carry out its function and roles in financial planning. This research aims to study the factors that influence financial planning and money management among youth. Theory of Planned Behavior (TPB) will be used as a baseline to explain the current needs of financial management among youth. Factors like financial literacy, financial attitude and perceived behavioral control were incorporated in this study to see the impact on financial management especially during the economic shock of COVID-19. The results show that the youth generation have a better tendency to manage their financial, in condition they have receive the appropriate financial knowledge form the relevant parties. This knowledge will then form a correct direction of attitude on financial management. Furthermore, the interpretation of how easy it is to control their finance also will depend on the information received. With the result obtained, all parties including the government could do an early preparation in order to equip the young generation with the suitable program hence reducing the problem of high indebtedness.

Human resources are the most important aspect in the organizations as it helps to achieve organizational performance. Nowadays, the biggest challenge that organizations are facing is to satisfy their employees and retain them. Retention of highly skilled employees enable organizations to improve their performance that contribute to maintaining competitive advantage and competitiveness in the market. To achieve employee retention, one of the key aspects is improving employee satisfaction for maintaining high organizational performance. Thus, the primary focus of this paper is to review various literature and research on how employee satisfaction and retention affect organizational performance among employees in the service industry. A data collection was conducted using questionnaires for data collection among employees in the service industry. The research model focuses on the measurement of 5 factors, such as teamwork, working conditions, employee loyalty, employee retention and organizational performance. The findings indicate that employee loyalty has significant effects over organizational performance, employee retention has significant effect over working conditions and employee loyalty. In contrast, teamwork, working conditions and employee retention have no significant effects over organizational performance. The findings for this study can be used as a guideline for employee satisfaction and retention towards organizational performance.

Because of the COVID-19 epidemic, several educational institutions all around the world had to postpone classes. In Malaysia, the suspension began in March 2020. Throughout the first semester, this scenario persisted, requiring educational institutions to move to online classrooms and changing the academic calendar for the following years. The reality of online learning has sparked a discussion about a new pedagogical approach in which teachers and students must learn how to manage online learning and make the most of online tools. Students must first understand the challenges presented by online distance learning in order to do this (ODL). This essay will examine how students perceive the difficulties of online education in the wake of the COVID-19 epidemic. 495 UiTM Terengganu students who actively participated in online learning activities served as the study's sample. Exploratory Factor Analysis (EFA) and Logistic Regression were used to examine the difficulties of online learning. In this study, the data was analysed using EFA and Logistic Regression to determine what factors account for the ODL issues that UiTM Terengganu students face. The results show that for most students, the internet and technology provide the biggest obstacles. Interaction between students and lecturers, psychological problems, challenging examinations, and self-management were also mentioned as obstacles.

Sustainable corporate social innovation is important in encouraging organisations to create innovative goods and services that address social, environmental and business benefits. Sustainable corporate social innovation has prominently been debated in both academia and the public recently. However, sustainable corporate social innovation in Malaysia is new and has no clear establishment. It is important to understand the factors that improve a company’s social innovation practice as it improves the well-being of the community and is business oriented. This study proposes the model of the relationship of organisational learning, ethical leadership, government support, and corporate governance on sustainable corporate social innovation in small and medium-sized enterprises (SMEs) in Malaysia. Organisational learning, ethical leadership, government support, and corporate governance plays a strategic tool and have been proposed in the field of modern management for social innovation in stabilising organisational success. The proposed model can serve as a valuable tool for researchers exploring the factors influencing OL, EL, GS, CGI and CSI within SMEs, as well as for practitioners seeking to benchmark their SMEs practices

Efficient management of household trash is essential to maintaining a sustainable society and a good environment. Low community engagement in environmental cleanup has led to dozens of unused refuse management apps. Today’s refuse management system lacks a secure identification protocol for identifying users, especially those who have signed up for the app. Predicting and understanding human household behavior is needed, and it remains a complex challenge. Therefore, this study aims to predict human household behavior in the refuse management system using artificial neural networks (ANN). The work involved in developing the prediction model included data collection, data pre-processing, neural network model development, and performance validation. There are 505 participants, urban residents in Kuala Lumpur obtained for this study. ANN with one hidden layer is developed in MATLAB. The results show that the accuracy of the developed model is 83%. It indicates that ANN performed well in predicting household behavior in the refuse management system.