URN |
etd-0724120-231130 |
Statistics |
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|
Author |
YU-SHIANG LIN |
Author's Email Address |
No Public. |
Department |
Institute of Industrial Management |
Year |
2019 |
Semester |
2 |
Degree |
Master |
Type of Document |
Master's Thesis |
Language |
zh-TW.Big5 Chinese |
Page Count |
40 |
Title |
A Study on Employee Influence in Process-Based Business |
Keyword |
Minimal path
Influence
Employee performance
Network reliability
Process-based business
Process-based business
Network reliability
Employee performance
Influence
Minimal path
|
Abstract |
Managers often have a blind spot on the real influence of an employee in an enterprise process. How great is the influence? Traditionally, such a problem can only be evaluated by experience and cannot be accurately assessed. Once an employee with substantial influence is absent, it may immediately affect the flow of the entire process, or even stop the process, causing huge losses. In this regard, to develop a computable approach to assess accurately is a good way. This paper proposes a method based on flow network theory, which can effectively evaluate the performance impact of an individual employee within a process-based business on the entire process, so as to improve or strengthen the process in early stage and to ensure the stability of business operations. This paper also illustrates how to implement the method with a numerical example. |
Advisor Committee |
SHIN-GUANG CHEN - advisor
CHUN-CHIN LEE - co-chair
PING-CHEN CHANG - co-chair
|
Files |
indicate access worldwide |
Date of Defense |
2020-07-13 |
Date of Submission |
2020-07-24 |