THE ASIAN BULLETIN OF BUSINESS AND SOCIAL SCIENCE RESEARCH <p>The Asian Bulletin of Business and Social Science Research (ABBSSR) is a scholarly journal that focuses on publishing research in the fields of business and social sciences. This publication serves as a platform for academics, researchers, and professionals to share their innovative findings and insights. ABBSSR aims to contribute to the academic discourse by presenting high-quality research articles, case studies, and reviews that address contemporary issues and challenges in the dynamic realms of business and social sciences. The journal fosters interdisciplinary collaboration, providing a valuable resource for those seeking comprehensive perspectives on topics ranging from business management and economics to sociology and psychology in the Asian context. Through rigorous peer review processes, ABBSSR strives to maintain academic excellence and promote the dissemination of knowledge that can contribute to the advancement of these disciplines.</p> ASIAN ACADEMY OF BUSINESS AND SOCIAL SCIENCE RESEARCH en-US THE ASIAN BULLETIN OF BUSINESS AND SOCIAL SCIENCE RESEARCH 2959-0051 Impact Of The Germane Load On Students’ Behavioral Intention On Online Courses During Covid-19: Mediating Role Of Instructional Design And Moderating Role Of E-Learning Personalization <table width="639"> <tbody> <tr> <td width="409"> <p>The study is carried out to examine the impact of the germane load on the Students’ Behavioral Intention of students studying in the public universities of China. Meanwhile, the study has also examined the mediating role of instructional design and moderating role of e-learning personalization. The study has used the SEM-PLS is to examine the relationship between and among the variable. The current study has investigated the relationship between germane load and instructional design, future behavioral intentions and instructional design, and future behavioral intentions with the germane load. The survey was conducted among the university students of China who participated in online learning programs during the COVID-19 pandemic. Moreover, the mediation influence of germane load on the relationship of future behavioral intentions and instructional design has been studied. It was found that all the relationships were positively correlated. The mediation influence of instructional design was found between the relationship of future behavioral intentions and instructional design. The study has examined the instructional design as a mediator. The analysis of an instructional design focusing on setting course plans results in improved germane load, which improves the process of learning, and future behavioral intentions among students are increased. It is important to note that usage intention and germane load are benefited through an effective instructional design. Therefore, the association between usage intention and germane load is important to be examined for analyzing a good understanding of the content among students and their plan for continuing e-learning in the future. In literature, studies have worked on instructional design, which results in improved learning and intention to continue e-learning and among students. However, there is a need to explore instructional design that focuses on general course planning to improve behavioral intention in the future based on the previous learning experience. The study is among the pioneers on the issues related to e-learning mechanisms in eastern Malaysia.</p> </td> </tr> </tbody> </table> FAN LIN MUHAMMAD MADNI Copyright (c) 2023 THE ASIAN BULLETIN OF BUSINESS AND SOCIAL SCIENCE RESEARCH 2023-12-30 2023-12-30 3 1 16 34 10.62019/abbssr.v3i1.33 Does the face expression recognition model under the online entrepreneurial education model important for deep learning technologies and entrepreneurial emotions? <table width="624"> <tbody> <tr> <td width="395"> <p>AI's rapid development has already affected the economy and society, and it might revolutionize how goods and services are manufactured and categorized. This affects the country's production, employment rate, and competitiveness. This research aims to determine how emotions (good and negative) impact deep learning technologies and company startup intentions. The research also examined how emotion recognition influences online entrepreneurship education and how deep learning and entrepreneurship are connected. In conclusion, the research is one of the pioneering efforts that provides a comprehensive grasp of deep learning and facial recognition in entrepreneurship. 78 of the 650 replies were insufficient, according to the statistics. Some individuals constantly picked 3, while others submitted blank questionnaires. The answer is inadequate. 572 surveys were utilized for the study. Positive emotions affect the urge to establish a company, according to the research. People who are generally happy may be able to develop their entrepreneurial expertise and be more driven to behave entrepreneurially. Positive and negative emotions have a significant impact on the deep learning technology and entrepreneurial intention connection. The findings imply that individuals who often experience pleasant emotions may be better able to improve their entrepreneurial cognition and, as a consequence, their drive to engage in entrepreneurial activity. The facial recognition model in entrepreneurship significantly moderates the relationship between deep learning technology and entrepreneurial intention (=0.262, p 0.001); hence, hypotheses 6, 7, and 8 are validated. This provides support for the hypothesized results, claiming that facial recognition plays a significant role in determining the relationship between deep learning technology and entrepreneurial intention. The results would be significant for university students, academicians, and policymakers as they seek to link practices and outcomes. The study is among the pioneers on issues related to deep learning mechanisms in eastern China.</p> </td> </tr> </tbody> </table> Muhammad Murad Majid Ibrahim Mohammed Abdullah Al Zarooni Copyright (c) 2023 THE ASIAN BULLETIN OF BUSINESS AND SOCIAL SCIENCE RESEARCH 2023-12-30 2023-12-30 3 1 50 75 10.62019/abbssr.v3i1.31 Revitalizing Talent Development in Jiangsu Province's Representative Universities under 'The Belt and Road' Initiative in the Post-Pandemic Landscape: A Data-driven Analysis <h2>Examining four universities in Jiangsu Province's "Belt and Road" international talent programs, this study finds disparities in planning, faculty diversity, and student exchanges. Despite Jiangsu's reputation for excellence in higher education, these institutions perform in a range of ways, most notably in cooperation and planning within the initiative. Although some universities are excellent at internationalizing their faculty, it is still difficult to recruit from "Belt and Road" nations. The pandemic affected participation rates by interfering with exchange and student enrollment programs. Evaluating and correcting shortcomings in Jiangsu universities' "Belt and Road" talent programs was the main goal. With an emphasis on student exchanges, faculty compositions, and educational planning, the study sought to close gaps that prevent successful internationalization. The research sought to reconcile current practices with the urgent need for strong international talent development through careful analysis. Using a thorough methodology, the study examined student exchange data, faculty compositions, and educational plans, identifying notable differences. These results highlight the need for better planning, diverse faculty hiring, and equitable student exchanges. In summary, this study offers crucial recommendations to higher education institutions and decision-makers for improving the success of "Belt and Road" projects in the aftermath of the pandemic, stressing the importance of better international talent development and more robust global alliances.</h2> Ting Huang Prasad Siba Borah Qi Xie Copyright (c) 2023 THE ASIAN BULLETIN OF BUSINESS AND SOCIAL SCIENCE RESEARCH 2023-12-25 2023-12-25 3 1 1 15 10.62019/abbssr.v3i1.35 Examining the determinants of the intention of using E-learning among university students in China During COVID-19. <table width="624"> <tbody> <tr> <td width="395"> <p>The main objective of the study is to examine the intention of using e-learning among university students in China. factors such as computer experience, personal innovativeness, computer self-efficacy, and performance expectations have an impact on the intention of using e-learning during COVID-19. The PLS-SEM-SEMroach is used for analysing research models of complex nature, where there are numerous observed and unobserved variables in the model. The response rate came out at 77%, which is considered more than sufficient for further analysis. An empirical study based on e-learning was conducted in a developing country. The researcher discovered that CSE has a significant impact on users' acceptance of e-learning. According to earlier studies, the experience of using a computer is a significant predictor of attitudes toward using computers. E-learning systems are used by individuals when it is perceived that they will improve their effectiveness and productivity in learning education during COVID-19. These beliefs have an impact on their intentions to use e-learning systems. As the high rate of attrition has become a key issue in e-learning, the main concern related to online teaching and learning is motivation. Their relationship results in improved use of the e-learning system. A computer self-efficacy construct was adapted in a study based on a specific implementation of e-learning. Computer self-efficacy was defined as the level with which people feel confident in their skills for using online technology for learning and the achievement of course-related tasks. The study has highlighted an important issue related to personal innovativeness, computer experience, and personal self-efficacy among students in China during COVID-19.</p> </td> </tr> </tbody> </table> Shazma Razzaq Mohd Hilmi bin Hamzah Muhammad Naveed Jabbar Copyright (c) 2023 THE ASIAN BULLETIN OF BUSINESS AND SOCIAL SCIENCE RESEARCH 2023-12-30 2023-12-30 3 1 35 49 10.62019/abbssr.v3i1.32