• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.867-875
• /
• 2020

Quality internal audit (IA) plays a crucial role in accountability, transparency and preserving public properties. This paper gives a brief background of the IA system in Yemen and examines its impact with regards to financial performance in Yemeni commercial banks based on five factors: (i) independence of IAs, (ii) adherence to IA standards, (iii) governance principles implementation, (iv) size of the IA, and (v) frequency of internal audits committees' meetings. The primary data for the study were collected through a questionnaire prepared for this purpose. Fifty questionnaires were distributed out of which forty-two were retrieved and valid in the analysis process. For the empirical analysis, descriptive analysis and T-test were used for verification of the research hypotheses. Results revealed that sticking to standards internal audit, internal auditors' independence and quality governance have significant impact on banks' financial performance, while the size of internal audits committees, as well as their meeting, frequently has insignificant positive impact on banks' performance. Moreover, the country results show that the use of automated internal audit in banks has an impact on improving financial performance. This article provides avenues for further studies, mainly in developing countries, including Yemen, in quality internal audit and financial performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.4
• /
• pp.287-297
• /
• 2020

The research aims to investigate the impact levels of determinants on the loyalty of accountants to FDI firms underlying investment management in Thanglong Industrial Park in Hanoi, Vietnam. We conducted a questionnaire consisting of 31 observation variables with a 5-point Likert scale. Independent variables were measured from 1 "without effect" to 5 "strongly". The method of data collection was done through the survey and subjects are accountants in FDI firms doing business in Thanglong Industrial Park in Hanoi. After checking the information on the votes, there are 120 questionnaires with full information for data entry and analysis, This study employs Cronbach's Alpha test, and regression model. The results show that seven determinants including Working environment, The characteristics of working; Training, promotion prospects and development; Income, Personal characteristic, Collective work together and The method of leading had positive relationships with the loyalty of accountants. Based on the findings, some recommendations are given related to such determinants to improve the loyalty of accountants of FDI firms in general and FDI firms in Thanglong Industrial Park in Hanoi in particular. With which, those firms can enhance performance, reduce financial strain, saving on investment in the recruiting process of new staff, increase profitability to ensure investment management.

• Journal of Convergence for Information Technology
• /
• v.11 no.11
• /
• pp.10-16
• /
• 2021

As the implementation of smart factories spreads widely, the need for research to improve data efficiency is raised by prioritizing massive amounts of big data using IoT devices in terms of relevance and quality. The purpose of this study is to investigate whether prioritizing big data in management accounting decisions such as cost volatility estimation and recipe optimization can improve smart solution performance and decision-making effectiveness. Based on the survey answers of 84 decision makers at domestic small and medium-sized manufacturers who operate smart solutions such as ERP and MES that link manufacturing data in real time, empirical research was conducted. As a result, it was analyzed that setting prioritization of big data has a positive effect on decision-making in management accounting. became In addition, it was found that big data prioritization has a mediating effect that indirectly affects smart solution performance by using big data in management accounting decision making. Through the research results, it will be possible to contribute as a prior research to develop a scale to evaluate the correlation between big data in the process of business decision making.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2001.10a
• /
• pp.425-434
• /
• 2001

In this paper we introduce a general framework for the modeling, analysis and costing of logistic networks including supply chains (SCs). The employed modeling notation, the so-called Process Chain paradigm, is specifically developed for the application field of logistic networks which includes SCs. We view SCs as discrete event dynamic systems (DEDS) and apply corresponding simulative techniques in order to derive performance measures of the Process Chain model under investigation. For this purpose Process Chain models are automatically transformed into the input language of the simulation tool HIT. Subsequently, a cost accounting model using the performance measures is applied to obtain costs which are actually subject of interest. The usefulness and applicability of the approach is illustrated by a typical supply chain example. We investigate the impact of an additional SC channel between a manufacturer and web-consumers on the overall supply chain costs.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.257-269
• /
• 2021

Intellectual capital is becoming a crucial factor for a firm's long-term profit and performance in the knowledge-based economy as more firms identify their core competence as invisible assets rather than visible assets (Itami, 1987). The company was encouraged to measure financial and non-financial factors, including the customer perspective groups, the internal business process, learning and growth perspective, then to link all these measurements in a coherent system. This paper seeks to investigate the influence of intellectual capital elements on company performance, as well as the relationship among intellectual capital elements from a cause-effect perspective. Resource-Based View (RBV) considers intellectual capital as resource and capability to sustain competitive advantage on company performance. The partial least squares approach is used to examine listed banks in Indonesia Stock Exchange for year 2017-2019. Results show that human capital directly has positive influences on innovation capital, customer capital, and process capital. Innovation capital has positive, but less significant influence on process capital, which in turn influences customer capital. Human capital and process capital also influence customer capital. Finally, customer capital contributes to performance. This study helps management to identify relevant intellectual capital elements as competitive advantage and their indicators to enhance business performance.

• The Journal of the Korea Contents Association
• /
• v.18 no.7
• /
• pp.527-535
• /
• 2018

This study examines how the implementation of the Normalization policy of public institutions aimed at reducing debt affects accounting conservatism in public corporations. In particular, we analyze the general behavior of accounting conservatism based on debt ratio, and analyze whether the policy has changed this behavior of conservatism. Empirical findings are summarized as following. We show that debt ratios are positively associated with conservatism, consistent with the result for the private corporations. This result means that public corporations increase their conservatism as their debt ratios increase. However, no significant effect is found in this relationship after the implementation of the policy. This finding implies that the implementation of Normalization policy is not a factor that alters the conservative accounting practices of public corporations. This suggests that the recent debt reduction performance of public corporations is irrelevant to conservatism and is the result of the actual process of normalization of management. The results documented in this paper provide an important empirical evidence for evaluating the performance of the government policy at the present time when the debt reduction policy of public institutions is viewed more important than ever.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.407-417
• /
• 2021

This study aims to establish the relationship between the Green Marketing Orientation (GMO) variables and the performance of Green Small and Medium Enterprises (GSMEs) across the building and energy sectors in Malaysia, using customer satisfaction as a means of performance measurement. The GMO variables examined include Greening the Process (GTP), Green Supply Chain Management (GSCM), Green Strategic Policy Initiatives (GSPI), Proactive Energy Conservation (PEC) and Green Promotion (GP). The items used to measure these variables were extracted from literature and adapted to the context of the variables based on feedback from Focus Group Discussions and Expert Opinion sessions. This study employs a survey sample of 300 respondents but only 238 completed questionnaires were returned. The results reveal that GTP, GSCM and PEC have a positive impact on Customer Satisfaction but not GSPI and GP. The findings suggest that owners or managers of GSMEs should focus on maintaining and improving GTP, GSCM and PEC in order to create greater satisfaction among their customers. The significance of this study is that it enables the creation of a framework that enables GSMEs to design a pathway towards achieving a cleaner production of goods and services in line with United Nations Sustainable Development Goals.

• Journal of the Korean Data and Information Science Society
• /
• v.28 no.6
• /
• pp.1481-1500
• /
• 2017

This study examines the stability and excellence of portfolio investment strategies based on the accounting information of the Korean stock market. In the process of constructing the portfolio, various combinations of financial ratios are used to select the stocks with high expected return and to measure their performance. We also tried to improve our investment performance by using genetic algorithm optimization. The results of this study show that portfolio strategies using accounting information are effective for investment decision making and can achieve high investment performance. We also verify that portfolio strategy using genetic algorithms can be effective for investment decision making.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.6
• /
• pp.61-71
• /
• 2020

The study examines the impact of corporate governance mechanisms, such as board characteristics on corporate social responsibility disclosure (CSRD). The data on CSRD items and board characteristics have been collected by content analysis of the annual reports of 30 publicly-listed banks in Bangladesh covering six years, from 2013 to 2018. More specifically, the directors' report, the chairman's statement, notes to the financial statement and CSR disclosure reports included in annual reports were used to collect the CSRD data. The empirical analysis applies the ordinary least square and the generalized method of moments. The results of the study have revealed that board size, board independence, female board member, and foreign directors have a significant positive impact on CSRD. By contrast, political directors and audit committee size have a negative impact on CSRD. Interestingly, accounting experts on boards ensure more CSRD as they curb the influence of politicians on the board. Thus, it is better to increase accounting experts and decrease politicians on the board. These findings provide valuable insights into the process of forming a suitable CSR policy by connecting the efforts of the board, government, and regulatory bodies to enhance the performance of banks to CSR as well as to CSRD.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
• /
• 2002.05a
• /
• pp.113-118
• /
• 2002

Research and Development(R&D) was once considered to be a unique, creative and unstructured process that was difficult, if not impossible, to manage and control. R&D decisions impact the entire enterprise. Therefore, decisions must not be based solely on R&D's perception of what is important or worthwhile. R&D contributions are difficult to measure separately from other functional organizations such as manufacturing and marketing. While some firms are attempting to overcome perceived limitations in traditional accounting-based performance measures using ROI, EVA, others are embracing the use of non-financial measures for decision making and performance evaluation. In particular, many firms are implementing 'Balanced Scorecard(BSC)' systems that supplement traditional accounting measures with non-financial measures focused on at least three other perspectives-customers, internal business processes, and learning and growth. AHP is a popular multi-attribute decision making model that allows for the development of importance rankings. The AHP has been applied in a wide variety of practical settings to model complex decision problems. The former, determine Perspectives and the Key Performance indicator(KPI) through the former research, the latter compose the questionnaire for determine the weight of perspectives and KPIs. And then, make a survey with researchers about 4 perspectives and 18 KPIs. The results will be simulate with Expert Choice 2000 for determine the weights. This results helps establish the firm's business strategy and technology strategy The firm should establish the business strategy to consider market position, business growth potential, and technological capabilities.