| Big data analysis on the business process and management for the store layout and bundling sales | |
|---|---|
| 學年 | 108 |
| 學期 | 1 |
| 出版（發表）日期 | 2019-10-14 |
| 作品名稱 | Big data analysis on the business process and management for the store layout and bundling sales |
| 作品名稱（其他語言） | |
| 著者 | Shu-hsien Liao; Yi-Shan Tasi |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Business Process Management Journal 25(7), p.1783-1801 |
| 摘要 | Purpose – In the retailing industry, database is the time and place where a retail transaction is completed. E-business processes are increasingly adopting databases that can obtain in-depth customers and sales knowledge with the big data analysis. The specific big data analysis on a database system allows a retailer designing and implementing business process management (BPM) to maximize profits, minimize costs and satisfy customers on a business model. Thus, the research of big data analysis on the BPM in the retailing is a critical issue. The paper aims to discuss this issue. Design/methodology/approach – This paper develops a database, ER model, and uses cluster analysis, C&R tree and the a priori algorithm as approaches to illustrate big data analysis/data mining results for generating business intelligence and process management, which then obtain customer knowledge from the case firm’s database system. Findings – Big data analysis/data mining results such as customer profiles, product/brand display classifications and product/brand sales associations can be used to propose alternatives to the case firm for store layout and bundling sales business process and management development. Originality/value – This research paper is an example to develop the BPM of database model and big data/ data mining based on insights from big data analysis applications for store layout and bundling sales in the retailing industry. |
| 關鍵字 | Retailing;Business process management;Big data;Database management;Bundling sales, Data mining |
| 語言 | en_US |
| ISSN | 1463-7154 |
| 期刊性質 | 國外 |
| 收錄於 | SSCI ESCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115825 ) |
| SDGS | 產業創新與基礎設施 |
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