The impacts of social media advertisement on consumer purchase behavior among generation z

The prevalence of social media platforms has made it a significant channel for businesses to reach consumers. In this study, the primary objective is to investigate the impacts of social media advertisement on consumer purchase behavior among Generation Z. With this aim, empirical data were collected through self-administered questionnaires from a convenience sample of 150 respondents who reside in Malaysia and had prior experience with social media platforms. Proposed hypotheses were tested using the Statistics Package for Social Sciences (SPSS). In this respect, the study employs the Uses and Gratification Theory (UGT) as the theoretical basis to investigate the impacts of entertainment, informativeness, irritation, credibility, and electronic word of mouth on consumer purchase behavior among Generation Z. The findings of this study reveal that entertainment, credibility, and electronic word of mouth have a significant positive relationship on consumer purchase behavior among Generation Z. However, the study found that irritation has a negative impact on consumer purchase behavior among Generation Z towards social media advertisement. Moreover, the empirical findings also supported the impact of entertainment, irritation, credibility, eWOM towards social media advertisement on purchase behavior among generation Z. The study concludes with a discussion of the implications for marketers and businesses to develop effective social media advertising strategies to target Generation Z. At the end of the study, it provides insights into the factors that influence the purchase behavior of Generation Z in response to social media advertising and offers useful implications for businesses seeking to target this consumer segment

Determinants of customer’s loyalty: An empirical study of Malaysian retail banking industry

The primary goal of this research is to determine the factors that influence customer loyalty in the domestic retail banking industry. Specifically, the study examines the effects of service quality, customer knowledge management, and confirmation on customer satisfaction, as well as the impact of corporate reputation on customer trust. The study also aims to investigate how customer satisfaction and trust influence customer loyalty in the domestic retail banking sector. The research instrument used for this study was self-administered questionnaires, and 356 questionnaires were distributed to customers in the Klang Valley through social messaging platforms over a period of three weeks. The findings of the study suggest that service quality, customer knowledge management, and confirmation are significantly related to customer satisfaction in the domestic retail banking sector. Additionally, corporate reputation is positively related to customer trust in the industry. Finally, the study confirms that customer satisfaction and trust have a positive impact on customer loyalty. In summary, the research presents an enhanced comprehension of the variables impacting customer loyalty within the Malaysian retail banking sector, offering valuable insights for academician’s better understanding as well as allows industry stakeholders to improve and sharpen their competitive edge in the market

Public transport route optimization with reinforcement learning

High transportation demand due to a large population has resulted in traffic congestion problems in cities, which can be addressed through public transport. However, unbalanced passenger demands and traffic conditions can affect the performance of buses. The stop-skipping strategy effectively distributes passenger demand while minimizing bus operating costs if the operator can adapt to changes in passenger demands and traffic conditions. Therefore, this project proposes a deep reinforcement learning-based public transport route optimization where the agent can acquire the optimal strategy by interacting with the dynamic bus environment. This project aims to maximize the passenger satisfaction levels while minimizing bus operator expenditures. Thus, the dynamic bus environment is designed based on a bus optimization scheme that comprises one express bus followed by one no-skip bus to serve stranded passengers due to skipped actions. The reward function is formulated as a function of passenger demand, in-vehicle time, bus running time and passenger waiting time. which is used to train the double deep Q-network (DDQN) agent. Simulation results show that the agent can intelligently skip stations and outperform the conventional method under different passenger distribution patterns. The DDQN approach yields the best performance in the static passenger demand scenario, followed by the scenario with dynamic passenger demands according to time, and lastly the randomly distributed passenger demand scenario. Future studies should consider the load constraints of buses and other factors, such as bus utilization rate, to improve the performance of stop-skipping services for passengers and operators. Real-life passenger data could be incorporated into the DRL model using Internet of Things technology (IoT) for route optimization

Property management service s’ effects on resident’s satisfaction with condominiumin Sungai Long

This research was carried out to study the property management service s’ effect on resident s’ satisfaction with condominiums in Sungai Long. Four factors had been tested which are cleanliness, housing environment, safety and security as well as facilities and services. This study applied a quantitative research method. The target population of this research is residents who live in condominiums in Sungai Long, Primary data of this research was obtained through the distribution of 45 copies of questionnaires and was analyzed using the SPSS software.The constructs of the questionnaire were reliable as Cronbach's Alpha value of all the factors was above 0.7. The data analysis applied fort his research is the relative importance index, the four factors were ranked from most important to least important and the ranking is as follows cleanliness, housing environment, safety and security, facility and services

Legal framework on affordable health: Comparative study between Malaysia and United States

The title of the Final Year Project (FYP) is "Legal Framework on Affordable Health: Comparative Study between Malaysia and United States." The project aims to explore and compare the legal frameworks related to affordable health in Malaysia and the United States. The FYP will examine the different healthcare systems and policies in Malaysia and the United States, including the role of government in ensuring affordable health, the provision of health insurance, and the regulation of healthcare providers. It will also analyze the legal and regulatory frameworks that govern these healthcare systems, such as healthcare legislation, healthcare policies and budget in place. The FYP will utilize a variety of research methods, including literature review, and comparative legal analysis. The findings will contribute to the understanding of the legal frameworks for affordable healthcare in Malaysia and the United States and inform policy recommendations for improving access to healthcare services in both countries. Overall, the FYP aims to provide a comprehensive analysis of the legal frameworks related to affordable health in Malaysia and the United States, highlighting the laws and policies of each system and identifying opportunities for improvement

Ergonomic issue on student’s health during virtual learning in the post-pandemic age

The title of this report is named Ergonomic Issues on Student's Health During Virtual Learning in the Post-Pandemic Age. The COVID-19 pandemic has forced many educational institutions to shift to virtual learning, which has led to an increase in ergonomic issues among students. Prolonged use of digital devices and poor workstation setup can lead to musculoskeletal pain, eye strain, and other health problems. Therefore, the main objective of this study is to identify the factors contributing to ergonomic issues on student's health during virtual learning in the post-pandemic age and investigate their relationship. This study will use a mixed-methods approach, combining existing documents and a questionnaire survey. The existing documents will be collected from online discussions and academic articles or papers, related to ergonomic issues during virtual learning. The questionnaire survey will be distributed to a sample of students to collect data on the prevalence of ergonomic issues, and health impacts. The study will target UTAR-Sungai Long students from various academic programs and levels, who have experienced virtual learning due to the COVID-19 pandemic in the post-pandemic age who have experienced virtual learning. The data collected from the existing documents and questionnaire survey will be analyzed using content analysis, descriptive statistics, and Spearman Correlation analysis. As a result, the findings indicate that only posture show significance in relation to student’s health during virtual learning in the post-pandemic age. In conclusion, this study aims to provide insights into the factors contributing to ergonomic issues on student's health during virtual learning in the post-pandemic age. The findings also can be used to inform policies and interventions to promote healthy virtual learning environments for students

Impact of artificial intelligence (AI) system implementation in the construction industry: Case study of Klang valley

The implementation of Artificial Intelligence (AI) systems in the construction industry has been a topic of interest in recent years due to its potential to improve efficiency, productivity, and safety. This study aims to investigate the impact of AI system implementation in the construction industry, using Klang Valley as a case study. The study will explore the current use of AI systems in the industry, identify the challenges faced by construction companies during implementation, and evaluate the impact of AI systems on the industry's productivity, cost, and safety and security. The study will be conducted through undergo a survey with industry experts and the employees in construction industry. The findings of this study will provide insights into the benefits and limitations of AI systems in the construction industry, which can be used to guide future implementation and policy decisions

Technology acceptance model (TAM) on the drivers iPad used by university academicians: a conceptual model

This research paper suggests a conceptual model for the academic staff adoption of iPad at university. With the enhancement of technology, knowledge can be developed more efficiently and effectively for the Teaching and Learning (T&L) process. iPad has become an important technology tool in the advancement of education, particularly in classroom instruction. Therefore, the purpose of this study is to investigate the dimensions of the drivers of iPad used by university academicians based on the technology acceptance model (TAM). The methodology used for this study, was to extract the critical factors from TAM. The five critical factors that supported the TAM theory are perceived ease of use (PEOU), perceived usefulness (PU), behavioral intention (BI), attitude (ATT) and frequency of actual use of iPad (AU). All these critical factors determined and validated by supported preceding articles and represent as the proposed dimensions for the conceptual model. Next, the hypotheses developed for each association among the critical factors. The findings drawn from the developed hypotheses generally lead to the development of a conceptual model. The limitation of this study is just to provide the conceptual notion; thus, this model could extend to the empirical analysis in the future

The relationship between esg and corporate financial performance during the covid-19 crisis

This study aimed to investigate the relationship between ESG factors and financial performance of companies during the COVID-19 pandemic. The results of the study did not provide sufficient evidence to support the hypothesis that there is a positive relationship between ESG factors and financial performance. The statistical analysis showed that the correlations observed between ESG factors and financial performance were not statistically significant at the 0.05 level, indicating that the sample of companies studied does not demonstrate a clear and consistent relationship between these variables. The regression analysis also revealed that the ESG score was not a statistically significant predictor of ROA during any of the years (2019- 2022) analysed. These findings suggest that ESG scores may not be a significant predictor of financial performance for the given years, and the model's accuracy in predicting financial performance varied across years. The study's results provide insights into the limitations of the relationship between ESG and financial performance, which policymakers and investors must take into consideration. Further inquiry is required to gain a deeper understanding of the underlying causes for these disparities