Asean International Sandbox Conference

Editor's Note

Kanitsorn Terdpaopong — 2024-06-17

Editorial Board

Kanitsorn Terdpaopong — 2024-06-17

Identifying Significant Cranial Angles for Predicting Normal vs. Syndromic Craniosynostosis Patients: A Stepwise Logistic Regression Approach

Mohamad Norikmal Fazli Hisam — 2024-01-27

Motivation: Previous research in identifying significant angles for early detection of syndromic craniosynostosis (SC) was proposed by making a comparison with a 95% confidence interval (CI) of the angular mean from the non-SC patients. Depending on the number of variables and population studied, this method requires one-by-one comparisons, is time-consuming, and is not robust to outliers.

Objective: we proposed the use of a logistic regression model to identify the significant cranial angles that can well discriminate between the syndromic and non-syndromic patients.

Methodology: Twelve angular measurements of 39 patients (17 patients with SC and 22 normal patients aged between 0 to 12 years) who sought treatment at the University Malaya Medical Centre (UMMC) from the year 2012 to 2020 were obtained from the previous study. 13 regression models (12 simple regression and 1 multiple regression) were produced using the simple and multiple stepwise logistic regression. The significant angles were obtained from the best model which was chosen by comparing their p-value and the Akaike Information Criterion (AIC).

Results: Results from the simple and multiple logistic regression yields TS-Ba-O (P<0.01) and ACF-DS-Ba (P<0.05) as an important factor in discriminating the patient’s condition. The best logistic regression model however suggested two more significant variables; the Na-S-SO (P<0.02) and Na-Apex point DS-Ba (P<0.08). Compared to the previous study, both TS-Ba-O and Na-Apex point DS-Ba were also captured as significant angles using CI methods.

Conclusion: The logistic regression model may serve as a promising method to identify cranial angles associated with abnormality in a patient's cranial growth.

Audit committee features and ESG disclosure: Evidence from Vietnam listed companies

Linh Thi Thuy Le — 2024-02-23

The study aims to investigate the impact of audit committee (AC) characteristics on the level of the environmental, social and governance (ESG) disclosure. The study investigated 200 annual reports and sustainability reports of 50 Vietnam listed firms for the period from 2018 to 2021. Content analysis and multiple regression methods are used to test the relationship between AC features and ESG disclosure. Empirical results show that the AC size, the frequency of meetings, the proportion of independent AC members, financial expertise and gender diversity positively influence ESG disclosure level, while the independence of AC chair and the proportion of shares owned by AC members are found to have no impact on ESG reporting. Research findings are of interest to business leaders as well as policymakers and regulators with regard to the improvement in ESG information transparency.

Influential Factors Affecting Payment Processing through Payment Gateways in the E-Marketplace Business Sector in Thailand

Sirawit Amnartbuddee — 2024-03-16

The e-marketplace business sector in Thailand has undergone remarkable growth in recent years, presenting a dynamic landscape that integrates digital technologies, commerce, and financial transactions. Financial transactions become the important process that people and businesses choose for making more efficiency and more safe. Central to the functioning of this sector are payment gateways, which serve as the critical bridge connecting consumers and businesses in an increasingly digitised economy. Referring to Bank of Thailand information, they found that E-wallet is still the most popular payment which corresponds to Digital Global Review Repoty’s information and they found that the most popular transections in financial payment is Food Delivery and E-commerce.This study investigates the key determinants affecting payment processes within the e-marketplace sector in Thailand. Employing a quantitative research approach, data was collected from 405 Thai respondents who had engaged in payment transactions through e-marketplace payment gateways. Data analysis incorporated various statistical measures, such as percentages, means, standard deviations, and binary logistic regression for hypothesis testing. The study’s findings revealed that technology acceptance and trust significantly impact payment gateways in the Thai e-marketplace sector. This study also finds the most popular payment gateway is E-wallet which corresponds to Digital Global Review Repoty’s information and Bank of Thailand information. These findings carry profound implications for both businesses and policymakers. Businesses operating within the e-marketplace sector can utilise this knowledge to enhance customer attraction and retention, optimise payment gateway functionalities, and improve trust and satisfaction levels. For policymakers, these insights can inform the development of regulatory frameworks conducive to the sector's growth and sustainability, as well as financial inclusion initiatives.

Asean International Sandbox Conference

Editor's Note

Editorial Board

Table of Contents

Identifying Significant Cranial Angles for Predicting Normal vs. Syndromic Craniosynostosis Patients: A Stepwise Logistic Regression Approach

Audit committee features and ESG disclosure: Evidence from Vietnam listed companies

Influential Factors Affecting Payment Processing through Payment Gateways in the E-Marketplace Business Sector in Thailand