Research on the Model for Creating New Knowledge via Teamwork
| Autor: | AI-FENG HSU, 徐愛鳳 |
|---|---|
| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 The world is facing the Fourth Industrial Revolution, i.e. the “intelligent manufacturing” of industry 4.0. Industry 4.0 revolutionizes the industry value chain with hundreds-of-years of history by utilizing big data, integrating the product development, production, sales, and services, and combing the Internet of Things (IoT). Furthermore, Novel economic consumption patterns such as the Fintech commerce technology, Ecommerce, and etc have significantly altered the operation model of enterprises. The enterprises are required to elevate their global competitiveness by means of various new knowledge, new technology, or new invention. The needed new knowledge can be incorporated from the outside of the enterprise or it can be created internally. The benefit of creating new knowledge internally is that commercial confidentiality can be more easily maintained since the core knowledge was developed internal of the enterprise. Especially in the circumstance that said knowledge cannot be acquired externally, and since said knowledge was made specifically for said industry, various benefits such as ease of application and high adaptability can be acquired. When the enterprise has decided to create new knowledge internally, necessary considerations include: selecting the suitable personnel, deciding the species of knowledge, the complexity of knowledge, the level of knowledge, and various other factors such as time pressure etc. Another benefit resides in the productivity of creating new knowledge via teamwork is better than the productivity of creating new knowledge individually. The present thesis is comprised of two parts, including constructing the model for creating new knowledge via teamwork and maximizing the creation model of the new knowledge under a limited budget. The present research constructs a mathematical model for creating new knowledge via teamwork. The process of selecting the most suitable team under limited resources to acquire the maximum benefit of knowledge creation process has also been disclosed. For the new knowledge that the enterprise aims to create, i.e. the target knowledge, the model contemplates three knowledge variables of an employee simultaneously, said variables include the knowledge complexity, knowledge level of each employee, and the correlation of said knowledge and the target knowledge. The contribution of the team on the creation of new knowledge, the new knowledge growth of the member, the time required for knowledge elevation, the total time required for creating target knowledge, and etc are then quantified via a mathematical model. Finally, the present model is verified with cases. To elaborate, the amount of knowledge elevation of each member during the process of new knowledge creation is discussed first; the process of selecting the team with optimal knowledge creation benefits from multiple teams is then discussed, and the effect of the correlation coefficient on the knowledge creation process is discussed with sensitivity analysis. Subjects are then discussed based on the previously-mentioned mathematical model. Said subjects includes : locating the team that can accomplish the target knowledge with the least amount of time; selecting the most efficient member to compose a new team to create new knowledge; in the circumstance that the salaries of the member are to be taken into consideration, selecting the optimal team based on each member’s CCP (Cost to Complete/Price) value when knowledge creation process is complete; and in the circumstance of having a limited budget, selecting the optimal team based on each member’s CCP value when knowledge creation process is complete. Finally, sensitivity analysis is utilized in order to discuss the effect of the setting of the value of parameters on the results. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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