• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.231-237
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• 2022

Intellectual Capital, a valuable intangible organizational asset, is primarily linked to a company's financial performance and is divided into three categories: human, structural, and relational capital. This paper investigates the impact of intellectual capital on the financial performance of selected Pakistani companies in the Information and Communication sector, as this sector is heavily reliant on intellectual capital. The data for 11 firms was gathered from the State Bank's Financial Statements Analysis of Companies Listed on the Pakistan Stock Exchange from 2015 to 2020. Pulić's (2004) Value Added Intellectual Coefficient (VAICTM) has been used to assess a company's IC efficiency. VAIC^TM and its components, the efficiency of intellectual capital, and the efficiency of capital employed are calculated. Financial performance is measured through return on assets, return on capital employed, and asset turnover ratio. Multiple regression, fixed-effect, and random-effect Panel Data estimation are used in the empirical study. The findings suggest that intellectual capital efficiency has a large impact on major profitability metrics, but little effect on company productivity. It can be inferred from the results that the companies must invest in advanced technology, the latest machinery, and well-equipped offices to improve financial performance and productivity and gain a competitive advantage.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.309-316
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• 2022

In 2011, the 4^th industrial revolution officially occurred and developed in most countries. The fourth industrial revolution has given organizations numerous business opportunities, enabling them to optimize their manufacturing processes, cut costs, and thereby improve their operations. The development of enterprises is a decisive factor in increasing national productivity, thereby improving economic growth and per capita income. Therefore, it is necessary to grasp the digital transformation plan and apply science and technology to domestic enterprises and improve the operational efficiency of the economy. Research on small and medium enterprises in Hanoi, Vietnam, which is considered a successful country in economic development and digital transformation and has become a middle-income economy and a highly open economy, the research results suggest that the ability to apply technology in businesses is capable of improving corporate financial performance. The choice of capital structure favoring debt has a negative effect on the financial performance of the enterprise; that is, enterprises in Vietnam should limit the choice of financing investment projects with debt, on the contrary, enterprises should choose to finance with equity. Finally, the study also discusses managerial implications for improving business performance in the context of the rapidly evolving 4.0 technology revolution.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.303-314
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• 2021

The higher the firm performance, the more chances enterprises can expand and develop their production, create jobs, and improve the workers' living quality. The main objective of this study was to measure the internal factors influencing the firm's performance of food and beverage (F&B) firms listed on the Hanoi Stock Exchange (HNX). Data was collected on 15 F&B firms listed on the HNX from 2015 to 2019 We use mixed research method, both qualitative and quantitative. For the quantitative research method, the supporting tool is Stata13 software. The results via Ordinary Least Squares (OLS) regression method show the impacts of internal factors with the following observed variables: the ratio of short-term debt to total liabilities (CS1) and total assets (S2) have an opposite impact (-) on ROA and ROE; debt-to-total assets ratio (CS2) has an opposite effect (-) on ROA; growth of total assets (G2) of the growth factor positively affects (+) ROA and ROE, the remaining factors do not affect ROA and ROE; and internal factors do not influence ROS. Based on the findings, some recommendations have been proposed to help the F&B firms listed on the Hanoi Stock Exchange improving their firm performance in the future.

• Asian Journal of Business Environment
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• v.13 no.4
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• pp.1-6
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• 2023

Purpose: To explore the application prospect of support vector machine (SVM) in supply chain management and its practical application in supply chain performance evaluation practice. Research design, data and methodology: This paper establishes the performance evaluation index system of supply chain management according to the balanced scorecard (BSC) theory, and establishes the SVM model of supply chain management performance evaluation based on the SVM principle. Results: The performance evaluation results of the supply chain of an electric power equipment Co., Ltd. in Harbin established by using the model are consistent with the actual situation, which indicates the nature and accuracy of the possible reflection of the established supply chain performance evaluation model. Conclusions: The results show that SVM model can be used to evaluate enterprise supply chain management performance indicators, and can improve enterprise supply chain management performance, thus demonstrating the effectiveness of the model.

• Journal of the Korean Operations Research and Management Science Society
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• v.32 no.4
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• pp.77-88
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• 2007

This study is to apply of AHP to the performance management of university organization. Especially, in the present study, the authors modeled performance evaluations for S university administration hierarchically and analyzed the weights of those. The domains of performance evaluations were divided in five domains: strategy, resource management, process, finance management, and customer management, referred to the viewpoints of BSC. The results of analysis revealed that strategy was the most important element of evaluation in the first stage and except for strategy and finance management which consist of the single element of evaluation respectively in the second stage, the efficiency of administration supporting service was the important element of evaluation. The weights of performance evaluations, however, revealed in different as the class of position. Finally this study showed that the weights of performance evaluations computed in the present study can be used as those of evaluation indices for S university administration.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.465-474
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• 2020

This study investigates how financial resources and entrepreneurial orientation (EO) may influence the performance of small- and medium-sized enterprises (SMEs) in the United Arab Emirates (UAE). Twenty-seven interviews were conducted and evaluated using the method of GABEK® (A GAnzheitliche BEwältigung von Komplexität - holistic processing of complexity). The research demonstrated that access to financial resources has significantly mediated EO's effect on the SMEs' performance. The study found that financial autonomy, enhanced through both personal financing and availability of external finance sources, plays a central role in supporting the EO dimension of autonomy and enhancing the SMEs' performance. In particular, the other EO dimension of risk-taking is stymied by lack of funds with which to take commercial and market opportunities. However, when an innovation strategy is pursued and adopted, access to finance can be facilitated, either through financial institutions or through other governmental funding programs attracting high potential innovators. Furthermore, financial barriers, difficulties accessing bank financing, and legal issues have a detrimental impact on SMEs' growth. The study has implications for policy-makers in the UAE, specifically in terms of sending a signal for lending institutions to consider strategies that provide access to affordable financial services to satisfy SMEs' needs.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.21-28
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• 2021

The purpose of this study is to analyze the efficiency of the policy direction to see if the government's purpose of relocating public institutions was achieved by analyzing the case of the Korea Housing Finance Corporation, which moved to Busan Metropolitan City in 2014. Based on the Korea Housing Finance Corporation's settlement management disclosure and public institution performance evaluation report from 2009 to 2019, efficiency was compared and analyzed using DEA analysis, work efficiency in management performance evaluation report, and financial ratio. The analysis results are as follows. First, in the case of DEA analysis, the difference in efficiency before and after fat transfer was not noticeable. Second, the efficiency analysis using the performance evaluation report and the financial ratio showed that the efficiency decreased after local relocation. Taken together, in the case of the Korea Housing Finance Corporation, efficiency decreased after local relocation, which can be attributed to sluggish business performance and inefficiency related to financial ratios. However, this study has limitations because it conducted an analysis on the Korea Housing Finance Corporation. To compensate for this, it is necessary to diversify the scope of research targeting all fund-managed quasi-governmental institutions in Korea. Nevertheless, this study is the first study to analyze before and after the relocation of fund-managed quasi-governmental institutions, and is expected to provide significant implications for future policies to be discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.4
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• pp.1807-1823
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• 2016

Local Binary Pattern (LBP) and its variants have powerful discriminative capabilities but most of them just consider each LBP code independently. In this paper, we propose sub oriented histograms of LBP for smoke detection and image classification. We first extract LBP codes from an image, compute the gradient of LBP codes, and then calculate sub oriented histograms to capture spatial relations of LBP codes. Since an LBP code is just a label without any numerical meaning, we use Hamming distance to estimate the gradient of LBP codes instead of Euclidean distance. We propose to use two coordinates systems to compute two orientations, which are quantized into discrete bins. For each pair of the two discrete orientations, we generate a sub LBP code map from the original LBP code map, and compute sub oriented histograms for all sub LBP code maps. Finally, all the sub oriented histograms are concatenated together to form a robust feature vector, which is input into SVM for training and classifying. Experiments show that our approach not only has better performance than existing methods in smoke detection, but also has good performance in texture classification.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.307-314
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• 2022

The construction and real estate industries contribute significantly to each country's economic development. Strong construction and real estate firms will contribute more to the country's GDP by contributing to the industry's development. The purpose of this study is to examine the factors that influence the performance of the construction and real estate sectors in Vietnam. A survey of 200 construction and real estate firms in different areas was conducted from 2020 until the end of 2021. Following the removal of errors, the author got 196 replies, 6 of which were invalid, leaving 190 votes for quantitative analysis. The research findings show that elements such as (1) senior executives' commitment to the organization, and (2) the ability to use technology have a positive and significant impact on firm performance when using advanced econometric analysis. Furthermore, in the case of Hanoi, Vietnam, business relationships have a positive impact on firm performance. Training and development, as well as the working environment and incentives, have little effect on the profitability of construction and real estate firms. Finally, the research also has some recommendations and limitations for the construction and real estate sector.

• Journal of Contemporary Eastern Asia
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• v.20 no.2
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• pp.63-84
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• 2021

The present study was conducted to understand the turmoil effects of COVID-19 pandemic on the Malaysian stock market during the different periods of the Movement Control Order (MCO). The present study was based on the secondary data extracted from the DataStream and Bloomberg from 2nd January 2020 to 29th May 2020 to evaluate the effects of COVID-19 pandemic on the Malaysian stock market. The findings suggested that during the different periods of the Movement Control Order (MCO) from the 1st January to 29th May 2020, the COVID-19 pandemic adversely affected the performance of KLCI index and all sectoral indices. The weakest performance indices were energy, property, and finance while the least affected indices were healthcare, technology, telecommunications, and media. This paper provides a review of the impacts of COVID-19 pandemic on the Malaysian stock market throughout the different periods of MCO.