教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題: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
語言英文(美國)
ISSN1463-7154
期刊性質國外
收錄於SSCI;ESCI;
產學合作
通訊作者
審稿制度
國別英國
公開徵稿
出版型式,電子版
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