Foreign and Domestic Shocks: Macroeconomic Responses of ASEAN-3 Countries

Mohd Azlan Shah Zaidi,ZULKEFLY ABDUL KARIM,W.N.W. AZMAN-SAINI 연세대학교 동서문제연구원 2013 Global economic review Vol.42 No.3

The study provides new empirical evidence on the relative importance of foreign and domestic shocks on selected ASEAN-3 (Malaysia, Indonesia, and Thailand) macroeconomic variables. Three structural vector auto regression models are estimated for each country. The focal point is given on the formulation of the sources of foreign factors. The first model uses tradeweighted foreign variables of both US and Japan to represent the foreign factors. The other two models use US and Japan by themselves, respectively, to represent the foreign factors. Two important results are emerged. First, foreign sectors play an important role in influencing macroeconomic variables of each of the ASEAN-3 country, especially in the medium and the longrun horizon. Second, most of the time, the Japanese factors are more dominant than the US factors in influencing domestic output and inflation for each of the ASEAN-3 countries.

The Effect of Foreign Direct Investment on Total Factor Productivity in Selected ASEAN+3 Countries: New Evidence Using A Panel ARDL Study

Noorazeela Zainol ABIDIN,Zulkefly Abdul KARIM,Mohd Shahidan SHAARI,Nisful LAILA 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.10

This study investigates the effects of FDI and other macroeconomic variables on Total Factor Productivity (TFP) in selected ASEAN+3 countries from 1981 till 2016. Total Factor Productivity (TFP) for each ASEAN+3 country was constructed using the Malmquist productivity index method. Then, a panel ARDL framework (dynamic heterogeneous panel), namely Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effect (DFE) are employed in examining the effects of FDI and other controlling variables on TFP. The new findings show that FDI has a significant and positive impact on TFP in the long run and the short run in ASEAN+3 countries. Besides, the results also reveal that in the long run, other variables such as the average number of years of schooling and the ratio of high-skilled to low-skilled labor also have a significant and positive effect on TFP. However, economic openness, government expenditure on R&D, and interaction between countries and FDI have a negative and significant impact on TFP. These findings implied that the recipient countries must ensure their political stability and offer various incentives to attract more investors. Furthermore, the influx of foreign investors, especially large ones and lower costs, should be encouraged by each country as FDI inflows can boost their TFP growth.

Machine Learning Algorithm Accuracy for Code-Switching Analytics in Detecting Mood

Latib, Latifah Abd,Subramaniam, Hema,Ramli, Siti Khadijah,Ali, Affezah,Yulia, Astri,Shahdan, Tengku Shahrom Tengku,Zulkefly, Nor Sheereen International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.9

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

Interface Design for E-Learning: Investigating Design Characteristics of Colour and Graphic Elements for Generation Z

Hazwani Nordin,Dalbir Singh,Zulkefli Mansor 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.9

The majority of students in higher education institutions are among generation Z. They have always depended on e-learning to support their learning activities. Therefore, higher education institutions should provide an attractive e-learning platform. E-learning interface design should be reviewed frequently to smoothen the interaction between students and the e-learning system. It is because interface design that fulfils generation Z students’ preferences and expectations may upsurge their participation in e-learning. However, interface design has continually been condemned and turn out to be part of the problem that contributes to the failure of e-learning. Lack of consideration about generation Z students’ preferences towards the interface design of e-learning is the factor that leads to these causes. Therefore, this study focused on identifying design characteristics of colour and graphic elements of e-learning from generation Z students’ perception. This research involved a purposive sampling method for questionnaire among students of generation Z. The findings from this study could help e-learning developers to design the interface of e-learning that is suitable for generation Z students that will consider color and graphic as important characteristics.

A Review of Cross-Cultural Design to Improve User Engagement for Learning Management System

Farhan Hanis Muhmad Asri,Dalbir Singh,Zulkefli Mansor,Helmi Norman 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.2

Online learning has become a widespread practice for students and teachers in acquiring and delivering knowledge. Education platforms have become prominent in the 21st century with the evolution of technology and the accessibility to online learning. As a result, various learning management systems (LMSs) have been introduced to facilitate online interaction between users. For instance, communication between students and teachers at school. However, there is a need to emphasise user engagement in LMS to enhance the online learning experience amongst students since the design of LMS affects user engagement. This study utilised a systematic literature review (SLR) that examined 74 articles published between 2014 and 2023, focusing on cross-cultural design (CCD), user-centred design (UCD), and usability in LMS design. This study aimed to review CCD and its association with UCD, user interfaces (UI), and user experience (UX) in the context of LMS. CCD has been introduced as an approach to design that embraces different cultures, languages, and social contexts, while UCD plays a significant role in defining user engagement for LMS. All elements in CCD and UCD help create a better user experience for LMS. Besides, this study reviewed the usability of selected LMS to give insights to developers in creating a positive user engagement. An insight into cultural factors that influence the usability of LMS has revealed their value for LMS design, such as the UI/UX elements. Initially, this study may guide future researchers in improving education quality by emphasising CCD and LMS usability, which can enhance user engagement.