Study of Electronic manufacturing Data Center green technology into critical success factors

• Main Authors: Shih-Chang Shao, 邵士倉
• Other Authors: SHIH-HOW LU
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/27867313427647926084

碩士 === 中原大學 === 資訊管理研究所 === 98 === When the electronic manufacturing industry full-time teacher inducts the green information technology, which factors does the discussion have for the key success factor, the research and the discussion inducts in the green information technology, each key success factor when inducts the process stage which parts can receive specially take seriously? This research carries on the discussion by the case study method, in view of the related electronic manufacturing industry information department, because of the case methodology, the expanded research subject's category, strengthens the understanding question the breadth and the depth. Will penetrate the literature discussion with the expert interview way to understand that inducts the green information technology each key success factor, expected that can master the nature research technique the spirit, because of the case methodology key success factor, places again the focal point to matter's annotation, takes seriously to study the process and the elasticity. Inducts key of success factor the green information technology for the inquire deeply electron manufacturing industry full-time teacher after inducting the green information technology to appraise the benefit, must first reduces influence of the carbon because of the elaboration green information technology importance and regarding the environmental factor and the energy conservation regarding the electronic manufacturing industry full-time teacher, and further obtains inducts necessity of factor and the success factor the green information technology, and after inducting the green information technology the benefit appraisal, inducts the green information technology key successful factor again finally by way of cross-over analysis induction knowing.