|標題：Big data analysis on the business process and management for the store layout and bundling sales|
|作品名稱||Big data analysis on the business process and management for the store layout and bundling sales|
|著者||Shu-hsien Liao; Yi-Shan Tasi|
|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
|關鍵字||Retailing;Business process management;Big data;Database management;Bundling sales, Data mining|