• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.527-538
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• 2021

The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.137-145
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• 2022

This study aims to test the information content of sustainability reports issued by the most significant telecommunications companies operating in the Kingdom of Saudi Arabia (Stc, Zain, and Mobily), and their compatibility with the national sustainability standards issued by the Ministry of Commerce in the Kingdom of Saudi Arabia in light of the Kingdom's vision 2030, and its impact on the stock exchange indices of these companies. The event study methodology was used to study the impact of publishing sustainability reports on stock prices and the trading volume of these companies' shares in the Saudi stock market during the period from (October 2020 to March 2021). The results indicate a significant impact of the information contained in the sustainability reports on stock prices and trading volume in the stock market, and the importance of directing the company's management towards more disclosure of information about sustainability in its environmental, social, and economic aspects instead of focusing only on information related to the financial performance and economic activity of the company. This encourages the listed companies to disclose the sustainability of the financial reports and standardize the form in which these disclosures are prepared.

• The Journal of Information Systems
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• v.29 no.4
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• pp.137-151
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• 2020

Purpose Domestic asset management fintech companies are expected to grow by leaps and bounds along with the implementation of the "Data bills." Contrary to the market fever, however, academic research is insufficient. Therefore, we want to analyze user reviews of asset management fintech companies that are expected to grow significantly in the future to derive strengths and complementary points of services that have been provided, and analyze key elements of asset management fintech companies. Design/methodology/approach To analyze large amounts of review text data, this study applied text mining techniques. Bank Salad and Toss, domestic asset management application services, were selected for the study. To get the data, app reviews were crawled in the online app store and preprocessed using natural language processing techniques. Topic Modeling and Aspect-Sentiment Analysis were used as analysis methods. Findings According to the analysis results, this study was able to derive the elements that asset management fintech companies should have. As a result of Topic Modeling, 7 topics were derived from Bank Salad and Toss respectively. As a result, topics related to function and usage and topics on stability and marketing were extracted. Sentiment Analysis showed that users responded positively to function-related topics, but negatively to usage-related topics and stability topics. Through this, we were able to extract the key elements needed for asset management fintech companies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.363-368
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• 2021

This study attempts to examine whether ownership of government-controlled corporations and audit committee effectiveness are related. The population of this study is 431 listed manufactured firms in the Saudi Stock Exchange (Tadawul) for the period 2012-2019 that published their financial and annual reports for the period 2012-2019. This population criterion is based on considerations that manufacturing companies listed on Tadawul have publicly accessible data and they have greater obligations to implement corporate governance code. Using the complementary hypothesis, this study predicts that there is a positive relationship between the ownership of government-controlled companies and audit committee effectiveness. The Pooled OLS regression shows that government-controlled companies' ownership is positively associated with audit committee effectiveness. Our study also indicates that ownership of government-controlled companies as a governance monitoring mechanism becomes more effective as it is combined with audit committee effectiveness which is another governance monitoring mechanism. The results of this study provide insightful evidence to policymakers at the company and country levels on the relationship of government-corporate ownership and audit committee effectiveness.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.277-286
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• 2021

This paper examines the readiness of Jordanian insurance companies to apply the International Financial Reporting Standards (IFRS 17), and the challenges of its application. The study developed a questionnaire based on prior related studies, and in the light of IFRS 17, the study used different statistical methods and techniques such as means, standard deviation, and t-test to achieve its goals. The results indicate that Jordanian insurance companies are not ready to apply IFRS 17, for several reasons. Most importantly, insurance companies have a low level of ability to define the scope of IFRS 17, study the impact of IFRS 17 application to financial reports, and develop new internal monitoring methods to apply IFRS 17. As for the challenges for applying IFRS 17, the biggest is the data challenge, followed by the challenges of first-time implementation, systems, and results and presentation. Finally, this paper advocates that it has become important for Jordanian insurance companies and supervisory bodies to enhance their readiness to apply IFRS 17 within a scheduled time framework and by taking several preparatory steps: performing simulations consisting of procedures to deal with IFRS 17 requirements and the impact on financial reports, and helping human resources with familiarization and application of IFRS 17.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.361-372
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• 2021

This research aimed to analyze the momentum strategy of foreign investors with the smallest trading transactions in the Indonesian stock market. This study applied a quantitative method approach using intraday transaction data of companies listed on the LQ-45 Index for March, April, and May 2017, obtained from the Indonesia Capital Market Institute (TICMI) which is a subsidiary of the Indonesia Stock Exchange (IDX). The number of companies with available data is 35 companies, consisting of 23 non-government stocks and 12 government stocks. The number of observations from the 35 companies was 8,686,030 observations where the government companies recorded 2,751, 545 and the non-government companies 1,387,016 observations. All data was then squeezed and grouped into small, medium, and large trade transaction orders. The data analysis method used was paired t-test with SPSS to analyze cumulative abnormal returns in the formulation and test periods. This study found that small foreign investors carried out momentum strategies on stocks listed on the LQ-45 Index. However, re-testing was done by separating government and non-government shares. It turned out that small foreign investors performed a momentum strategy on non-government and a contrarian strategy on government.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.129-137
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• 2021

This paper aims to analyze whether company characteristics are potential determinants of human resource accounting (HRA) disclosure practices by Vietnamese listed companies. It examines the human resource disclosure level of 204 companies by content analysis of these companies' annual reports. The study has relied on a multiple linear regression to test the association between a number of corporate attributes and the extent of human resource disclosure in companies' annual reports. The extent of human resource disclosure was measured using unweighted human resource disclosure index. The explanatory variables considered in this study were firm size, firm age, profitability, leverage, industry profile, and auditor type. The results revealed that the most influential variable for explaining firms' variation in human resource disclosure is firm size followed by firm age and profitability. Thus, it can be concluded that firm size, firm age and profitability are major predictors that may affect the variety of HRA disclosure practices on firms listed in the Vietnam Stock Exchange. However, neither industry profile nor auditor type seems to explain differences in human resource disclosure practices between Vietnamese listed firms, indicating that company's industry profile and auditor type are not a matter for the company to disclose HRA information.

• Korea Trade Review
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• v.44 no.4
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• pp.169-188
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• 2019

This study aims to analyze the effects of the smart technologies acceptance on global supply chain innovation and export performance in Korean small and medium trading companies. As the world prepares for the advent of the 4th industrial revolution the level of smart technology acceptance by Korean small and medium trading companies has not yet reached the level that is compatible with the change of international paradigm. In this respect, this study aims to promote the acceptance of smart technologies and suggest a need of more practical policy for securing international market competitiveness through innovation of global supply chain structure of Korean trading companies. According to the empirical research results, the smart technology acceptance had a significant effect on both the internal supply chain innovation and the export performance. Also, the external supply chain innovation significantly affected export performance. These results suggested that Korean trading companies need to be more active and positive in accepting smart technology so that they can gain more competitive advantage in the 4th industrial revolution era.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.1-12
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• 2021

Altman's Z-score is used to measure a company's financial health and to predict the probability that a company will collapse within 2 years. It is proven to be very accurate to forecast bankruptcy in a wide variety of contexts and markets. The goal of this study is to use Altman's Z-score model to forecast insolvency in non-financial publicly traded enterprises. Non-financial firms are a significant industry in Malaysia, and current trends of consolidation and long-term government subsidies make assessing the financial health of such businesses critical not just for the owners, but also for other stakeholders. The sample of this study includes 84 listed companies in the Kuala Lumpur Stock Exchange. Of the 84 companies, 52 are considered high risk, and 32 are considered low-risk companies. Secondary data for the analysis was gathered from chosen companies' financial reports. The findings of this study show that the Altman model may be used to forecast a company's financial collapse. It dispelled any reservations about the model's legitimacy and the utility of applying it to predict the likelihood of bankruptcy in a company. The findings of this study have significant consequences for investors, creditors, and corporate management. Portfolio managers may make better selections by not investing in companies that have proved to be in danger of failing if they understand the variables that contribute to corporate distress.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.157-166
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• 2021

In the past four decades, corporate social responsibility (CSR) issues have grown substantially due to the increasing demand for transparency and growing expectations that corporations should manage and improve their social, environmental, and economic performance. As a result, most organizations, companies, and governments provide CSR reports, while a large number of companies are still engaged in defining and integrating CSR into several aspects of their business. CSR is an obligation to society (Lee, 2020). The linkage between CSR and consumer-company identification (CCI) is important under company stakeholders. Consumers who care about those issues often change their shopping habits to bring greater value to the community. They will avoid buying environmentally or socially harmful products, and actively seek the products and services of the companies that carry out social responsibility. Companies conducting CSR activities such as charity works or environmental activities will be easy to associate as a responsible organization for always meeting the necessity of society. Therefore, companies must consider CSR a long-term strategy. The strategic approach to CSR plays an increasingly significant part in the business competitiveness - which helps create companies' values while gains trust and respect from the consumers, partners in particular, and the social community in general. This study is conducted to show evidence from project-based organizations about the CSR factors that influence consumer loyalty and the impact level of those factors on customer loyalty.