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Canh Chi HOANG,Bui Hoang NGOC 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.3
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.
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Using Business Intelligence for analyzing students’ data in ThuongMai University of Vietnam
Nguyen Thi Thu Thuy,Hoang Ngoc Canh 한국인터넷전자상거래학회 2017 인터넷전자상거래연구 Vol.17 No.2
Business Intelligence (BI) can be seen as the significant supported method in data mining area by using decision making system. By using supported tools as BI tools in the system, university officers might quickly serve students efficiently. This paper shows a case of use Business Intelligent tools to create some views of storage data to extract the useful information in making administration decision via OLAP reports. The students’ marks data will be organized in an OLAP (On-Line Analytical Processing) cube of many dimensions to show alternatively summary information. Therefore, the administration staffs can recognize easily what the needed information for their cases.
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