Institute of Information Management

Organization profile

Organisation profile

In view of the booming of information technology and the advent of the era of knowledge economy, the demand for enterprise electronic strategy planning and management talents with management literacy is growing. National Cheng Kung University established the Master of Information Management Institute in the Republic of China in 1987 to train the country. High-end information management talents in the enterprise; and further established a doctoral degree in asset management in 1994 to cultivate talents with academic research capabilities, continue the teaching depth of the Institute, and complete the information management higher education system of the school. Develop more information management professionals in academia and business. The firm currently has a total of 22 full-time teachers, including 14 professors, 4 associate professors, and 4 assistant professors. They are doctors in related fields of information technology and industrial management at well-known universities at home and abroad. The biggest difference between the Institute and other domestic asset management institutes is the emphasis on cross-domain integration of information management and industrial management, which can fully meet the needs of students from different backgrounds. The teachers of the Institute are active in the academic and industrial circles at home and abroad. Many teachers have won the Outstanding Research Award of the National Science Council and the research results are great. The master's and doctoral classes of NCKU Asset Management Institute have gradually grown and expanded. The school's learning environment is perfect, the teaching facilities are full and complete, and the research and teaching have accumulated considerable results, and continue to actively recruit information systems and industry. The teacher who manages the integration ability can provide students with the best learning environment. NCKU Asset Management Institute welcomes the participation of interested students, let us grow together and achieve great results.

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    Research Output

    An envelopment learning procedure for improving prediction accuracies of grey models

    Chen, C. C., Chang, C. J., Zhuang, Z. Y. & Li, D. C., 2020 Jan, In : Computers and Industrial Engineering. 139, 106185.

    Research output: Contribution to journalArticle

  • Exploring differences in competitive performance based on Miles and Snow's strategy typology for the semiconductor industry

    Lin, C., Chiu, Y. W., Chen, W. C. & Ting, S. F., 2020 Jan 1, (Accepted/In press) In : Industrial Management and Data Systems.

    Research output: Contribution to journalArticle

  • Hybrid classification algorithms based on instance filtering

    Wong, T. T., Yang, N. Y. & Chen, G. H., 2020 May, In : Information sciences. 520, p. 445-455 11 p.

    Research output: Contribution to journalArticle