Exploration of Evaluation Models for R&D Projects in the Biomedical Industry of Taiwan - The Case of Company A

• Main Authors: Chiu, I Fan, 邱一帆
• Other Authors: Robert Su
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/93575854936077651237

碩士 === 國立政治大學 === 管理碩士學程(AMBA) === 97 === The evaluation for R&D project is usually regarded as an important and complicated issue for enterprises, especially in the biomedical industry. Such a concern may be highly applied to the biomedical industry, which is involved with lengthy R&D process, high level of risk, and large cost. This project, therefore, will attempt to study the appropriate approaches to determine whether a proposed R&D project is worthwhile to be launched for a biomedical enterprise with limited resources. In general, qualitative research may be involved with the evaluator’s personal experience, negatively influencing the evaluation results. On the other hand, not each of the selected models employed by quantitative research is fully compatible to evaluation process. This study suggests that either qualitative or quantitative research may not be the most appropriate tool to conduct R&D project evaluation. This study aims to use drug development as a study target and further to discuss the most appropriate evaluation approach from the five aspects, including reviewer’s professional, evaluation items of qualitative research, evaluation items of quantitative research, requirement for evaluation process, and criteria for project approval. This study also assumes that a final review process is required to be proceeded in addition to taking the above five aspects into account. This study begins with related references and collecting the opinions provided by the professionals working in the biomedical industry about real cases. Through the case study method, the study may better understand the difference between the theoretical models and real practices and further to identify the key successful factors for the evaluation model. Finally the study suggests a comprehensive evaluation model to decision makers or research managers.