DocumentCode
3017896
Title
An Architecture and Application of Cloud-Based Customer Knowledge Management Information Systems
Author
Jyhjong Lin ; Shin-Jer Yang
Author_Institution
Dept. of Inf. Manage., Ming Chuan Univ., Taipei, Taiwan
fYear
2013
fDate
2-5 July 2013
Firstpage
267
Lastpage
272
Abstract
In Electronic Commerce (EC), research has shown that effective management of customer relationships by taking advantage of customer knowledge is a critical source for enterprises to succeed their EC business. Therefore, it is commonly recognized for an enterprise to promote its customer relationships through a prospective customer knowledge-based information system to achieve the so-called Customer-Oriented EC. In this paper, we present an architecture and its application for such a Customer Knowledge Management Information System (CKMIS). In addition, since Cloud-based Software-as-a-Service (SaaS) has been popularity for its rich set of features and their practical applications on business can be expected, it is thus an envisioned trend for CKMIS to employ SaaS as its service provision model to enhance further its effectiveness on customer relationships. For this need, the architecture and its application specifically address the analysis of SaaS features and their incorporation into CKMIS where UML is used as its modeling tool.
Keywords
cloud computing; electronic commerce; information systems; knowledge management; CKMIS; SaaS; UML; Unified Modeling Language; cloud-based customer knowledge management information systems; cloud-based software-as-a-service; customer knowledge; customer relationship management; customer-oriented EC; electronic commerce; Books; Portals; Publishing; Servers; Unified modeling language; User interfaces; Architecture and Application; Cloud-based Software-as-a-Service; Customer Knowledge Management; Electronic Commerce; Information System; UML;
fLanguage
English
Publisher
ieee
Conference_Titel
Biometrics and Security Technologies (ISBAST), 2013 International Symposium on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-5010-7
Type
conf
DOI
10.1109/ISBAST.2013.47
Filename
6597701
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