• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.111-118
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• 2022

The purpose of this research is to evaluate the quality of non-financial information disclosure by companies listed on the Vietnamese stock exchange. In 2019, 140 annual reports from 140 companies listed on the Vietnam Stock Exchange were included in the research sample. The remaining 134 reports were eligible study after removing those that lacked essential data. Using the statistical software SPSS version 25 and Excel office software, the study has selected the data processing method and the disproportionate disclosure index method to evaluate the quality of non-financial information disclosure of companies. The findings of the study demonstrate that companies listed on the Vietnam stock exchange are particularly interested in giving non-financial information to financial statement consumers as required by law, although the level of disclosure is still inadequate. The findings also illustrate the varying levels of non-financial information disclosure by category of information, as well as substantial disparities between them (general information about the company, environmental and social information, corporate governance information, etc.). The findings of the study show that the majority of Vietnam's publicly traded enterprises are less interested in reporting environmental information.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.361-381
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• 2023

Research on corporate bankruptcy prediction has been focused on financial information. Since the company's financial information is updated quarterly, there is a problem that timeliness is insufficient in predicting the possibility of a company's business closure in real time. Evaluated companies that want to improve this need a method of judging the soundness of a company that uses information other than financial information to judge the soundness of a target company. To this end, as information technology has made it easier to collect non-financial information about companies, research has been conducted to apply additional variables and various methodologies other than financial information to predict corporate bankruptcy. It has become an important research task to determine whether it has an effect. In this study, we examined the impact of electronic payment-related information, which constitutes non-financial information, when predicting the closure of business operators using electronic payment service and examined the difference in closure prediction accuracy according to the combination of financial and non-financial information. Specifically, three research models consisting of a financial information model, a non-financial information model, and a combined model were designed, and the closure prediction accuracy was confirmed with six algorithms including the Multi Layer Perceptron (MLP) algorithm. The model combining financial and non-financial information showed the highest prediction accuracy, followed by the non-financial information model and the financial information model in order. As for the prediction accuracy of business closure by algorithm, XGBoost showed the highest prediction accuracy among the six algorithms. As a result of examining the relative importance of a total of 87 variables used to predict business closure, it was confirmed that more than 70% of the top 20 variables that had a significant impact on the prediction of business closure were non-financial information. Through this, it was confirmed that electronic payment-related information of non-financial information is an important variable in predicting business closure, and the possibility of using non-financial information as an alternative to financial information was also examined. Based on this study, the importance of collecting and utilizing non-financial information as information that can predict business closure is recognized, and a plan to utilize it for corporate decision-making is also proposed.

• Korean Management Science Review
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• v.20 no.2
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• pp.165-177
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• 2003

This paper presents the prototype of corporate credit rating system using analytic hierarchy process (AHP). Prior studios have proposed various models of credit rating system, but most studies considered only financial information. Financial information, however, is only a small part of corporate information. In this study, the proposed credit rating system integrates both financial and non-financial information. Fifteen corporations are tested for the usefulness of the proposed system.

• Journal of the Korea Society of Computer and Information
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• v.20 no.12
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• pp.107-113
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• 2015

This study analyzed the effect of the factors of introducing information technology(organizational and environmental characteristics) on non-financial performance. As detailed variables of each characteristic, the technical support/task force, users' IT capability, and education/training were used for the organizational characteristics while the degree of competition, external pressure, and uncertainty of environment were used for the environmental characteristics. In the results of the analysis, such factors like technical support/task force, users' IT capability, and education/training of the organizational characteristics had significant influence on non-financial performance. Also, factors such as degree of competition, external pressure, and uncertainty of environment of the environmental characteristics had significant influence on non-financial performance.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.193-205
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• 2012

Since manufacturing and supplying corporations today come to view their practice of SCM as important, it becomes essential to analyze and control the structural relationship between the information sharing among corporations and the performances resulting from their practice of SCM. It is thus the purpose of this paper to examine the factors that may prompt corporations to implement SCM by means of analyses into the relationship between information sharing and practice of SCM which corporations should lay stress on as well as the relationship between financial and non-financial performances of corporations. The findings of the study can be summed up as follows: First, as for the relationship between information sharing among and practice of SCM by corporations, information sharing among corporations turned out to affect such factors of implementing their SCM as trust, commitment mutual dependence. Consequently, corporations are requested to endeavor to implement SCM itself faithfully if they really aim to achieve their performances by practice of SCM and, at the same time, to make efforts to obtain understanding and support for information sharing among themselves. Second, from the analysis of the relationship between SCM and financial as well as non-financial performances of corporations, it was found that trust, a factor of SCM practice, had influence upon non-financial performances of corporations, but not upon their financial performances, while commitment and mutual dependence affected both financial and non-financial achievements of corporations. Therefore, it was made clear from the analysis that the decision and systematic control of SCM activities which best suit to a corporation play an important role in improving its financial and non-financial performances, because they greatly depend on the implementing extent of SCM factors such as trust, commitment and mutual dependence among corporations.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.141-152
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• 2009

This research conducted research on the provision of the strategic information for the companies' financial and accounting parts among the functions that are provided by the ERP, elements related to the adoption of financial information system that influence and that supports decision-making and management performance. The results of this research are as follows. First, organization's degree of decentralization among the organization structure's characteristics and the element of information technology infrastructure among the information technology characteristics does not affect financial or non-financial performance. Second, financial information characteristics do not affect financial performance partially, Third, organization's size does not play the role of adjuster when it comes to the financial performance. Fourth, some research variables used on this research were not analyzed as important elements that influence financial performance, but the analysis showed that they mostly influence non-financial performance, which means that these are what could be considered strategically when adopting financial information system in the future.

• Journal of the Korea Safety Management & Science
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• v.10 no.2
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• pp.71-83
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• 2008

Most researches on the corporate credit rating are generally classified into the area of bankruptcy prediction and bond rating. The studies on bankruptcy prediction have focused on improving the performance in binary classification problem, since the criterion variable is categorical, bankrupt or non-bankrupt. The other studies on bond rating have predicted the credit ratings, which was already evaluated by bond rating experts. The financial institute, however, should perform effective loan evaluation and risk management by employing the corporate credit rating model, which is able to determine the credit of corporations. Therefore, in this study we present a medium sized corporate credit rating system by using Artificial Neural Network(ANN) and Analytical Hierarchy Process(AHP). Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the ANN and AHP model using both financial information and non-financial information. Finally, the credit ratings of each firm are assigned by the proposed method.

• Management & Information Systems Review
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• v.6
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• pp.163-186
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• 2001

A venture business plays important roles in the economy of a developing nation. It makes highly value-added product, increases employment and improves the industry structure. The objective of this study is to derive the financial and non-financial characteristics from venture businesses, which determine a highly successful business group or a less successful business group. The firm characteristics are composed of 21 financial(liquidity, leverage, cash flow, activity, productivity, and etc) and 34 non-financial characteristics(manager, technology, marketability and credibility variables), which have been considered as the key characteristics for venture business by the existing literature. All financial ratios and non-financial characters play a role of making discriminations between a highly successful and a less successful group. Because there are not generally accepted definitions, classifying a highly successful and a less successful venture business is a very difficult problem. Operational definitions have many problems but we have no choice in current stage.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.245-261
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• 2012

This study thus set out to empirically analyze connections between the success factors of marketing and management performance in the silver industry. For that purpose, the investigator analyzed relations between independent variables, which include such success factors of marketing as market segmentation, product mix, customer relational management, brand asset, price strategy, and marketing information system, and dependent ones, which include financial and non-financial management performance. Those results partially support the hypothesis that the six success factors of marketing set in the study have effects on financial and non-financial management performance in the silver industry. Customer relational management had the biggest influence, being followed by brand asset and price strategy in the order. Those results indicate that companies need to consider customer relational management, brand asset, and price strategy before other success factors of marketing to achieve financial and non-financial management performance in the silver industry.

• The Journal of Information Systems
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• v.33 no.1
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• pp.115-131
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• 2024

Purpose This study aims to analyse the impact of the development of fintech and the emergence of internet primary banks due to the increasing use of smartphones on the performance of traditional local banks from both financial and non-financial perspectives. Return on equity (ROE) and return on assets (ROA) are used to assess the performance differences between the two types of banks and how these differences are affected by their financial characteristics. Design/methodology/approach Using return on equity (ROE) and return on assets (ROA) as indicators, we identified the differences in operating performance between the two types of banks. In addition, this study analysed the impact of financial characteristics on profitability through regression analysis with various control variables. We further studied the impact of non-financial characteristics (customer reviews, social media reactions, etc.) on operating performance. Findings The net interest margin ratio of local banks had a positive impact, while the marketable securities ratio of Internet primary banks had a negative impact. The non-financial analysis shows that the number of customer reviews and social media reactions have a significant impact on the performance of Internet primary banks, suggesting that customer satisfaction and positive market perception are important factors in the performance of Internet primary banks.