• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.295-304
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• 2019

The study aims to investigate the determinant factors in the organisation of a firm's innovative activities, and the impact of innovation capability on firm's performance of electronic firms in Ho Chi Minh city, Vietnam. How is the performance of electronic companies after delivering an innovation project? How will innovation capability affect firm's performance in electronic companies? This study aims to seek the answer of these questions. We employ a Structural Equation Model and the PLS technique in order to validate the theoretical model proposed in this study. With observation of 374 valid firms, based on Cronbach's Alpha analysis, EFA analysis, CFA analysis and SEM analysis, this study discovers 5 groups of factors including: (i) Institution factors; (ii) Attitude of leadership factors; (iii) Marketing factors; (iv) Technological resources factors; (v) Combination factors, which have direct impact on innovation capability of firms. There are 4 groups of factors that have positive impacts on financial performance of electronic firms, with descending order of importance as follows: (1) Attitude of leadership factors; (2) Quality of human resources factors; (3) Innovation capability; (4) Marketing activities factors. Research results are important implications for Government administrative agencies for business to consult and introduce effective support policies.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.163-186
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• 2005

When firms are confronted with IT investment decision-makings, technical or financial factors are widely considered. However, based on sociotechnical systems theory, it is argued that in addition to the traditional factors, social issues must be considered in the IT investment decision-makings. Even though the strategic criteria of social issues within organization are important for IT investment decision-makings, the social or organizational issues are hardly considered in IT implementation and adoption(Ryan and Harrison, 2000). The objective of this study is to empirically verify how the comprehensive consideration of both of technical and organizational issues related with IT investment affects firm performance through its impact on IT technical capability and IT personnel skills. Senior managers of 153 Korean firms were surveyed, and the collected data were analyzed with PLS technique. The results of the PLS path analysis show that the comprehensive consideration of the technical and social issues affected indirectly firm performance through IT technical capability and IT personnel skills. It is found that the comprehensive consideration had a significant impact on IT technical capability and IT personnel skills, and that IT technical capability and IT personnel skills affected firm performance. IT personnel was also found to affect IT technical capability. Finally, this study found that the consideration of social factors had greater impacts on firm performance than that of technical factors.

• International Commerce and Information Review
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• v.17 no.3
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• pp.251-278
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• 2015

Previous researches have been conducted on the drivers of alliance performance up to date. Unlike existing literatures, we examine the influence of alliance management capability as direct drivers on venture's alliance performance. Based upon organizational capability theory, we proposed that coordination capability, relationship capability, learning capability are main components of alliance management capabilities. In addition, we proposed capability of CEO as forth alliance management capability in global ventures. Using 78 global ventures as research sample, this study shows that these four alliance capabilities have considerable influence on financial performance of ventures with global alliances.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2010.05a
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• pp.184-205
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• 2010

The service industry is drawing economic growth, and the financial service sector among service industry takes major share. So it is needed to increase the productivity and efficiency through the service innovation of making a good process, standardization, automation. But contrary to manufacturing industry, the difficulty to measure the characteristic of productivity, quality and innovation in service sector requires more scientific and systematic method for service innovation. This paper will search for financial service innovation strategy with service science by the case review of KOTEC's technology rating system. The case may infer that strategic technology management capability along with customized financial service infrastructure is important.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.143-155
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• 2021

In this study, we focused on the decenterization, innovation, interoperability, and transparency that blockchain technology brings in the financial services sector. Decentralized financial services powered by blockchain technology can leverage virtual assets to expand the scope of financial services and create new business opportunities while encouraging innovation in financial services. Based on the understanding of the concept of De-Fi, we will look at the need for technology and major use cases, and look at future challenges. This will help us understand the vision of developing new technologies for innovation, while identifying the potential as new areas of fintech services.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.733-736
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• 1996

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bankruptcy prediciton on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediciton. Therefore, we have decided to focus on textiles and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

• Korean Management Science Review
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• v.14 no.2
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• pp.91-111
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• 1997

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bandkruptcy prediction on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediction. Therefore, We have decided to focus on textile and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

• Korea Journal of Hospital Management
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• v.15 no.3
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• pp.33-46
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• 2010

Recently, the needs for marketing activities is increasing of the hospitals, but there are no such measurement for the efficiency and the effectiveness of the marketing activities. Thus, the research aims to suggest the necessity of approach method which can combine the efficiency and the effectiveness of the marketing activities both systematically and comprehensively in line with examining the current status of marketing capability of hospitals in Korea. From the research findings, it is known that, in respect of financial performance, hospitals in Korea should establish the plan and implement accordingly in order increase both the sales revenue and profit ratio in contrast to the sales revenue through strengthening the internal marketing activities rather than the external marketing activities.

• Journal of the Korean Operations Research and Management Science Society
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• v.14 no.2
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• pp.91-91
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• 1989

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bandkruptcy prediction on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediction. Therefore, We have decided to focus on textile and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.

• Asia Marketing Journal
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• v.20 no.1
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• pp.1-21
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• 2018

An increasing number of studies have examined the effects of corporate social responsibility (CSR) activities on corporate financial performance (CFP) in the service industry. However, the extant literature does not provide comprehensive insights into the conditions on which the CSR-CFP link relies. In this study, firms' marketing communication capability (MCC) is introduced as an important contingency variable, which determines the effects of CSR on the corporate financial performance, in the context of restaurant businesses. Multiple year data on the spending of public restaurant chains on different media are collected, and MCC is subsequently measured using the data envelope analysis. Then, a test is conducted to prove whether MCC moderates the relationship between CSR and firm financial performance. The empirical results support the hypothesis that MCC strengthens the effect of CSR on CFP. Through the findings, this research provides several interesting and important implications to the literature and managers of service firms.