Meta-analysis of the literature related to SDG 3 and its investment

Given the negative utilitarianism and difficulty in maintaining long-term loyalty, hospitals resort to a variety of images that define and redefine their relationship strategies in order to stay patient-centric. As in any other sector, in healthcare, patients play an important role in service design and delivery. The basic services of medical appointment scheduling, online payment and health information search are recognized as one of the most important elements that increase patient footfall, service planning, patient satisfaction and their continued usage, in particular in developing economies such as India. This study seeks to understanding the basic e-Health services continuance usage intention among patients by integrating the Expectation Confirmation Model (ECM) and the Technology Acceptance Model (TAM) and extending them by including certain external variables. With a well-structured questionnaire, a survey of 453 respondents – out-patients and care-givers, who should have used e-Health services at least once, in particular, visited multispecialty hospitals, revealed that along with the ECM and TAM constructs such as satisfaction, confirmation, perceived ease-of-use, and perceived usefulness, the external variables such as trust, social influence, perceived service quality, and perceived privacy and security had a significant influence (p < 0.05) on e-Health services continuance usage. The main findings of the study contribute to developing and empirically testing a model that explains the basic process of motivating the e-Health service users for continuance usage intention.

The increasing role of digitalization in the banking sector necessitates an in-depth analysis of the impact of information technology (IT) investments on bank profitability. The paper analyzes the influence of IT investments on the profitability of Vietnamese commercial banks. The data were collected from 27 commercial banks in Vietnam between 2010 and 2022. The methodology used in this paper is the Feasible Generalised Least Squares (FGLS) regression. The key results indicate that investment in IT has improved the overall performance of banks, as evidenced by an average increase of 1.8% in Return on Assets (ROA) and 15.3% in Return on Equity (ROE). In addition, the Equity-to-Asset ratio exerts a favorable influence on bank performance, increasing ROA by 15.7% and ROE by 40.9%. Furthermore, bank size also demonstrates a positive correlation with both ROA and ROE, raising it by 0.3% and 2.3%, respectively. Based on these findings, more efficient investment in digital transformation, collaboration with Fintech firms, IT competence enhancement for staff, and communication promotion for Vietnamese commercial banks are recommended. Enabling environments for bank digital transformation should be provided by the Government in building a centralized database and electronic systems, introducing fintech regulations, establishing digital ecosystems, and implementing security solutions.

Acknowlegment
This paper is funded by the National Economics University, Hanoi, Vietnam.
The authors would like to express their gratitude to the comments from chairs, scholars, and audiences at the 19th International Conference on Humanities & Social Sciences 2024 – Applying Humanities & Social Sciences for a sustainable future, Khonkhaen University, Thailand (ICHUSO-011). This paper has been revised significantly after presenting at the IC-HUSO 2024 Conference.

The government bond (GB) has become the most attractive investment portfolio option, even though many macroeconomic factors affect the bond yield. This paper aims to investigate the determining factor of local currency government bond yield by considering the inflation rate, credit default swap, stock market index, exchange rate, and volatility index. This study used 240 data panel from the Bloomberg stock market in the form of data panel covering Southeast developing countries, namely Indonesia, Thailand, Malaysia, and the Philippines, for five years or sixty months from January 2015 to December 2019. Data analysis used recursive models and multivariate regression techniques using EViews software. The random effect model results revealed that change in the foreign exchange rate and volatility indexes affected, partially and simultaneously, the changes in the stock market index. The result also showed that changes in the stock market index, inflation rate, and credit default swap affected, partially and simultaneously, government bond yield changes. These results suggest that the government bond yield could be managed by controlling volatility index, foreign exchange rate, stock market index, inflation rates, and credit default swaps. This finding could provide an insight into the policymaker and fiscal authority on managing the risk of government bonds under control during high volatility or even making it reasonably lower. This result could contribute to the current research in the field of financial management.

Acknowledgment
It is the author’s pleasure to thank Muhammad Aulia SE MSc CSA® from the Ministry of Finance of Republic Indonesia, for his invaluable contribution to encourage this study and also to share the data required for this paper. He also delivers essential insights into improving the quality of this work. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.