Name
Title | ||
|---|---|---|
Branch Reconfiguration Practice Through Operations Research in Industrial and Commercial Bank of China |
Abstract | ||
|---|---|---|
Industrial and Commercial Bank of China (ICBC), the world's largest publicly traded bank as measured by market capitalization, deposit volume, and profitability, has a network of over 16,000 branches. This network is an important core competency and is fundamental to ICBC business development. To keep its leading position in the fast-changing and competitive China market, ICBC needed to reconfigure its branch locations and service capabilities to match the regional economy and customer distribution; therefore, it had to quickly identify new high-potential market areas in which to open branches. ICBC partnered with IBM to customize an operations research-based branch network optimization system, Branch Reconfiguration (BR), which it has implemented in over 40 major cities in China. In a typical major city (e.g., Suzhou), ICBC attributes US $1.04 billion in increased deposits to BR. The BR project is an example of successfully using operations research and management sciences to transform the service channels of a large bank in a manner that will continue to improve the bank's business development and decision making. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1287/inte.1110.0614 | Interfaces |
Keywords | Field | DocType |
operations research,new high-potential market area,market capitalization,branch location,operations research-based branch network,business development,large bank,competitive china market,major city,branch reconfiguration practice,commercial bank,icbc business development,br project | IBM,Economics,Core competency,Commercial bank,Market capitalization,China,Operations research,Communication channel,Profitability index,Operations management,Control reconfiguration | Journal |
Volume | Issue | ISSN |
42 | 1 | 0092-2102 |
Citations | PageRank | References |
2 | 0.39 | 4 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiquan Wang | 1 | 2 | 1.07 |
| Xingdong Zhang | 2 | 2 | 0.39 |
| Xiaohu Liu | 3 | 2 | 0.39 |
| Li-Jie Guo | 4 | 18 | 2.46 |
| Thomas Li | 5 | 2 | 0.39 |
| Jin Dong | 6 | 100 | 21.57 |
| Wenjun Yin | 7 | 23 | 8.00 |
| Ming Xie | 8 | 17 | 4.24 |
| Bin Zhang | 9 | 8 | 2.51 |