|Author's Email Address
||This thesis had been viewed 5349 times. Download 93 times.|
|Type of Document
||Practical Study on Construction of an Integrated SME Business Decision-Making System-Take P company as an example|
|Date of Defense
Decision making model
||This research is based on the case study of P company’s daily operation and business data, to construct its cost evaluation and decision making model. The goal of this research is to fully understand and to model the decision making processes of these small to middle size companies(SME Business) that provide integration services to their customers. The outcomes of this research can be used in prediction as well as optimization of cost evaluation and risk management.|
The research finds out, through evaluation and modeling, it is possible to reveal the interaction among cost factors, to estimate the lowest cost based on historical data, and to manage risks by coordinating the business partners, in order to make the highest profit from the project.
The conclusions of this research are:
1. The high technical and know-how service industrials are relative new and comprehensive in terms of different business domains. Therefore, the risk of cost change is always higher than the other industrials. An accurate decision making model and to estimate project cost precisely is crucial for the business.
2. The case study of P company demonstrates the possibility of using common tools like Microsoft Excel, to manage large multifaceted business data in order to construct an accurate cost decision making model. This may provide a viable and practical solution for small sized businesses that do not have database systems for their decision making application.
3. It is suggested by this research that there are four easy construct, simple use decision making models, which are proven to be useful to lower the risk of budget decision making and to reduce the bias and deviation when these decision is simply based on personal working experience.
||Hsin-Hui,Lin - chair|
Fen-Hui,Lin - co-chair
Feng-Yang Kuo - advisor
Indicate in-campus at 5 year and off-campus access at 5 year.|
|Date of Submission