Critical Factors Affecting the Adoption of KM in Cloud Computing Environment: A Case of Company M

• Main Authors: Chien, Tzi-Hui, 簡慈慧
• Other Authors: Hwang, Hsin-Ginn
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/tw59ak

碩士 === 國立交通大學 === 管理學院資訊管理學程 === 102 === Domain Knowledge is one of the key factors to determine the competitive advantages of a company. There is no exception for a high-tech company. Many high-tech companies in Taiwan have invested a lot of capital to implement knowledge management systems (KMS) for the purpose of managing knowledge existed inside the companies for the past decades. According to the reports both from academic and practitioners, the results of using KMS have demonstrate many merits for those high-tech companies. KMS have become one of the important information systems to those companies. Cloud computing have driven many changes of IT applications recently. Due to advantages of adopting cloud computing technology, many high-tech companies in Taiwan have seriously considered to transfer traditional IT applications into cloud computing applications. However, the adoption of cloud computing for any companies is not only a technical move, but also a strategic move. This paradigm shift requires many changes from operational level to strategic level. Many companies decide to do this shift by incremental basis. In other words, they convert traditional IT applications into cloud computing applications from small scale (an independent system) to full scale ERP systems gradually. One example is to adopt KMS in cloud computing environment instead of traditional KMS as a beginning of this transfer. There are two purposes of this thesis. The first purpose is to compare and contrast traditional KMS and cloud computing KMS based on a comprehensive literature review and one round of expert panels. The second purpose is to propose factors affecting the adoption of cloud computing KMS in high-tech industry based on a comprehensive literature review and one rounds of expert panels. The TOE framework was used to propose relevant variables affecting the decision of adoption. Furthermore, a questionnaire was developed based on the results of expert panels. A case company was selected and structured in-depth interview technique was adopted to collect relevant data. A senior consultant who has tremendous experiences of adopting KMS in cloud computing environment was invited to validate findings of this study. A total of 14 variables were proposed to affect the decision of adopting KMS in cloud computing environment for high-tech companies in Taiwan.