| URN |
etd-0715125-125142 |
Statistics |
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|
| Author |
CHENG-EN LAN |
| Author's Email Address |
xiaoen0719@gmail.com |
| Department |
Institute of Industrial Management |
| Year |
2024 |
Semester |
2 |
| Degree |
Master |
Type of Document |
Master's Thesis |
| Language |
zh-TW.Big5 Chinese |
Page Count |
46 |
| Title |
Study on Product Sales Performance Considering Multiple Advertising Effects¡XTaking the Real Estate Agency Industry as an Example |
| Keyword |
Multiple advertising real estate sales performance
Multiple advertising real estate sales performance
|
| Abstract |
Advertising plays a crucial role in shaping consumer behavior, especially in today's diverse media landscape encompassing print, digital, and multimedia platforms. However, advertising investments are not always fully effective; only those that lead to actual purchases are considered successful. While integrated advertising strategies are increasingly important, existing research lacks systematic methods to evaluate the combined impact of multiple formats on sales performance. This study addresses this gap by proposing a novel evaluation model that integrates network reliability theory with mathematical modeling of the sales process. By incorporating factors such as node capacity, customer inflow, and advertising inefficiency rates, the model simulates diverse advertising combinations and estimates the probability of reaching sales thresholds. The findings provide both theoretical contributions and practical guidance for optimizing advertising strategies. |
| Advisor Committee |
SHIN-GUANG CHEN - advisor
CHENG-TA YEH - co-chair
PING-CHEN CHANG - co-chair
|
| Files |
indicate access worldwide |
| Date of Defense |
2025-06-13 |
Date of Submission |
2025-07-15 |