• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.131-138
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• 2020

In accordance with huge demand for capital to meet the expansion of steel production, there are more and more steel companies who have officially listed their stocks in HOSE and HNX. One of the key issues in successful initial public offerings and seasonal offerings for these companies is how to make stocks of steel companies become more attractive in the eyes of investors. The purpose of this research is to analyze the determinants of share prices of listed steel companies in Vietnam. This study utilized macro-economic variables, ratios and indicators representing characteristics of steel industry collected from Quarter 1/2006 to Quarter 4/2019 in association with the panel data and the feasible generalized least square (FGLS) model to evaluate the degree of these factors on the share prices. The results of the research show that ROE, Cons_rate, and CO2_rate are three main factors affecting the share prices of listed steel companies. Among which, ROE and Cons_rate have a positive effect, while CO2_rate has a negative effect on the share prices of listed steel companies. It also confirms the relationship between the environmental factor, construction industry factor and the stock prices. This lays foundations for recommendations for the future policies towards environmental protection and sustainable development.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.27-34
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• 2002

Utilizing information and knowledge is one of the major objectives in the management of construction firm. This trend has been developed both inside of the firms and overall industry-wise. Therefore conventional methods of performance evaluation based on the financial statements such as balance sheet under GAAP(Generally Accepted Accounting Principles) are not sufficient to cover various Performance of constriction firms. Core competency of construction firms needs to be evaluated by the new performance evaluation model. In this research, the concept of BSC (Balanced Score Cards) is utilized to develop the performance evaluation model for construction firms considering four major performance indicators including financial perspective, customer perspective, learn and growth perspective, anti internal business perspective. A model of performance evaluation including criteria is proposed to evaluate construction firms based on their vision and strategy.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.89-98
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• 2005

Recently the construction industry in Korea is facing problems such as low productivity, contraction of the domestic construction market, growing competition, and so on. To enhance the competitiveness continuously through efficiency in this business environments, construction companies need to make efforts to measure and accumulate performance data based on the strategic factors. When analysing performance of construction projects, the unique characteristics of each project should be considered properly, by which the managers can identify current status of project in various perspectives. This study proposes the performance analysis system using the concepts of balanced scorecard and data warehouse technology. The suggested system provides the management with the flexibility in analyzing performance data by applying the pre-defined key performance indicators and the function of multi-dimensional analysis.

• Korean Business Review
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• v.22 no.1
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• pp.77-101
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• 2009

The main purpose of this study is to assess the effect of using Balanced Scorecard, and relationship among learning and growth performance, internal business performance, customer performance, financial performance, and business performance. To achieve this study, theoretical and empirical studies related to Balanced Scorecard were carried out simultaneously. A field survey was undertaken through questionnaire sampling a population of construction firms. The established hypotheses related to Balanced Scorecard and organizational performance were verified by the paired-t test analysis using SPSS. The result of this research are as follows : First, BSC firm's learning and growth performance are higher than those of before BSC adopting firms significantly. Second, BSC firm's internal business performance level is higher than that of before BSC firm's significantly. Third, BSC firm's customer performance level is higher than that of before BSC firm's significantly. Fourth, BSC firm's financial performance level is higher than that of before BSC firm's significantly. Fifth, BSC firm's Business performance level is higher than that of before BSC firm's significantly. This study contributes to the BSC research by being the study focus on the BSC at the general indicators and provides evidence that may help understanding the possible relationship between BSC adoption and improvement of organizational performance. There are some limitations, however, of this study. The result are based on a cross sectional sample of construction firms, which may not be reflective of the entire population.

• Journal of Navigation and Port Research
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• v.43 no.6
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• pp.450-461
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• 2019

According to the results of the management evaluation of the nation's public firms over the past seven years, the rating of the port corporation is generally insufficient. According to the results of the seven-year study 2011-2017, the average debt ratio of the port corporation was 34.5%, two to three times lower than that of the general public company, the operating profit ratio of sales was three times higher, and the value added per person was 1.6-1.9 times better. However, the aggregate score and grade were generally low, with 4.1% of the total number of employees of the general public corporation, 10% of the average total assets, and 1% of the average sales volume. The distributed analysis results and panel return analysis results show that the size significantly impacts the overall score and grade. Additionally, major business standards such as port volume, not controlled by the port corporation, appear to have a decisive influence on the low grade of the port corporation. Thus, it appears that improvement and supplementation of key business indicators of port construction are urgently needed in the management evaluation system, which can be properly controlled.

• Journal of Information Processing Systems
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• v.12 no.1
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• pp.169-181
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• 2016

Organizations in some industries are still hesitant to adopt the Enterprise Resource Planning (ERP) system due to its high risk of failures. This study examined how industry classification affects the successful implementation of the ERP system. To achieve this goal, we reinvestigated the existing ERP Success Model that was developed by Chung with the data from various industry sectors, since Chung validated the model only in the engineering and construction industries. In order to test to see if the Chung model can be applicable outside the engineering and construction industries, the relationships between the ERP success indicators and the critical success factors in the Chung model and those in the sample data collected from ten different industry sectors were compared and investigated. The ten industry sectors were selected based on the Global Industry Classification Standard (GICS). We found that the impact of success factors on the success of implementing an ERP system varied across industry sectors. This means that the success of ERP system implementation can be industry-specific. Thus, industry classification should be considered as another factor to help IT decision makers or top-management avoid ERP system failures when they plan to implement a new ERP system.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.1-27
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• 2017

It is known that the economic sentiment index and macroeconomic indicators are closely related because economic agent's judgment and forecast of the business conditions affect economic fluctuations. For this reason, consumer sentiment or confidence provides steady fodder for business and is treated as an important piece of economic information. In Korea, private consumption accounts and consumer sentiment index highly relevant for both, which is a very important economic indicator for evaluating and forecasting the domestic economic situation. However, despite offering relevant insights into private consumption and GDP, the traditional approach to measuring the consumer confidence based on the survey has several limits. One possible weakness is that it takes considerable time to research, collect, and aggregate the data. If certain urgent issues arise, timely information will not be announced until the end of each month. In addition, the survey only contains information derived from questionnaire items, which means it can be difficult to catch up to the direct effects of newly arising issues. The survey also faces potential declines in response rates and erroneous responses. Therefore, it is necessary to find a way to complement it. For this purpose, we construct and assess an index designed to measure consumer economic sentiment index using sentiment analysis. Unlike the survey-based measures, our index relies on textual analysis to extract sentiment from economic and financial news articles. In particular, text data such as news articles and SNS are timely and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. There exist two main approaches to the automatic extraction of sentiment from a text, we apply the lexicon-based approach, using sentiment lexicon dictionaries of words annotated with the semantic orientations. In creating the sentiment lexicon dictionaries, we enter the semantic orientation of individual words manually, though we do not attempt a full linguistic analysis (one that involves analysis of word senses or argument structure); this is the limitation of our research and further work in that direction remains possible. In this study, we generate a time series index of economic sentiment in the news. The construction of the index consists of three broad steps: (1) Collecting a large corpus of economic news articles on the web, (2) Applying lexicon-based methods for sentiment analysis of each article to score the article in terms of sentiment orientation (positive, negative and neutral), and (3) Constructing an economic sentiment index of consumers by aggregating monthly time series for each sentiment word. In line with existing scholarly assessments of the relationship between the consumer confidence index and macroeconomic indicators, any new index should be assessed for its usefulness. We examine the new index's usefulness by comparing other economic indicators to the CSI. To check the usefulness of the newly index based on sentiment analysis, trend and cross - correlation analysis are carried out to analyze the relations and lagged structure. Finally, we analyze the forecasting power using the one step ahead of out of sample prediction. As a result, the news sentiment index correlates strongly with related contemporaneous key indicators in almost all experiments. We also find that news sentiment shocks predict future economic activity in most cases. In almost all experiments, the news sentiment index strongly correlates with related contemporaneous key indicators. Furthermore, in most cases, news sentiment shocks predict future economic activity; in head-to-head comparisons, the news sentiment measures outperform survey-based sentiment index as CSI. Policy makers want to understand consumer or public opinions about existing or proposed policies. Such opinions enable relevant government decision-makers to respond quickly to monitor various web media, SNS, or news articles. Textual data, such as news articles and social networks (Twitter, Facebook and blogs) are generated at high-speeds and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. Although research using unstructured data in economic analysis is in its early stages, but the utilization of data is expected to greatly increase once its usefulness is confirmed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.10
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• pp.5260-5267
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• 2013

In order to create a successful regional development model, there should be an effort to foster a strategic industry which boosts a geographical features of rural areas. Because, It must be clear that the strategic industry chosen between choice and concentration of the development of the local industry development which boosts the local economy revitalization. The local government should have continual concern and roles to fulfil political subjects and keep estimating about the possibility that there could be the sustainable development by Task Ahead of the local industry. This study's indicators were established for the adequacy evaluation of the industrial policy by focusing on domestic regional development's success example. Next, Conjoint analysis was conducted on the Experts. On the basis of this analysis, the weights of indicators are derived. And this study suggest the reasonable evaluation system to take Sustainable industry plan of regional strategic. Consequently, 'Regional development' sector separate 3 categories which are 'Local economy', 'Human Resource Development', 'local marketing' and 9 indicators were derived. 'Industrial development' sector derived 9 indicators about 'Construction of infrastructure', 'Technical development' and 'business support'. Looking through the implications of this study. First, the problem needed to be supplemented based on the Diversity and concreteness of Evaluation system when government assesses regional industry development policy. Second, local government have to strategically consider the possibility of convergence between industries and easiness of network in a broad region. Finally, Foundation and support of the professional manpower and companies for the regional industries must be established.

• Journal of Wetlands Research
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• v.15 no.3
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• pp.367-380
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• 2013

In this study, sub-indicators, and thematic mid-indexes to evaluate the water use characteristics were selected through historical data analysis and factor analysis, and consisted of the subject approach framework. And the integrated index was developed to evaluate water use characteristics of the watershed. Using developed index, the water use characteristics were assessed for 812 standard basins with the exception for North Korea using data of 1990 to 2007 from the relevant agencies. A sensitivity analysis is conducted for this study to determine the proper way through various normalization and weighting methods. To increase the objectivity of developed index, the history of the damage indicators are excluded in the analysis. In addition, in order to ensure its reliability, results from index with and without consideration of the damage history were compared. Also, the index is also applied to real data for 2008 Gangwon region to verify its field applicability. Through the validation process this index confirmed the adequacy for the indicators selection and calculation method. The results of this study were analyzed based on the spatial and time vulnerability of the basin's water use, which can be applied to various parts such as priority decision-making for water business or policy, mitigations for the vulnerable components of the basin, and supporting measures to establishment by providing relevant information about it.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.83-92
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• 2017

The purpose of this study is to establish the Balanced Score Card for 'I Company' which is a small and medium sized manufacturing company in Busan City. It is suitable for SMEs and suitable for the management environment. The study was intended to contain the detailed needs of managers and employees when developing the performance measurement system. It also allowed other SMEs to benchmark through this study. We also proposed a solution to the problems after BSC construction. In addition, BSC has been developed for the purpose of shifting business strategy from RDS to SSS in accordance with changes in the demand market environment. Strategy Maps were divided into the whole company level and each team level. You can look at strategic goals, core success factors, and key performance indicators at each glance. Finally, we developed a smart performance evaluation system that can easily calculate the score, strategic goal, key success factor, weight of key performance indicators, target score, performance, and achievement rate by creating a smart chart. Have significance.