Title
Enterprise Relationship Network: Build Foundation for Social Business
Abstract
Social business moves beyond linear, process-driven organizations to create new, dynamic, networked businesses that focus on customer value. Enterprise relationship network (ERN) can be used to support social business by maximizing current and future opportunities and facilitate network-enabled processes, which can lead to value co-creation. In this paper we give the specification of ERN, which links the main entities in social business together, such as enterprises, business activities, employees and products. ERN provides a set of methods for analyzing the structure of whole entities as well as a group of algorithms for exploring the patterns in these structures. We present the technique architecture of ERN and describe how the ERN supports social business. We can get a lot of valuable information from ERN, which can be used in enterprise management, employee collaborations and networked businesses. At last, through a case study on the platform of SDCMSP, we evaluate how our proposed approach supports social business and show some relationship visualization results.
Year
DOI
Venue
2014
10.1109/BigData.Congress.2014.57
BigData Congress
Keywords
Field
DocType
linear-process-driven organizations,personnel,social business,valuable information,value co-creation,business communication,enterprise relationship network,entity structure analysis,enterprise relationship network, socail network, social business,dynamic networked businesses,relationship visualization,ern architecture,networked business activities,relationship network,employee collaborations,graph theory,network-enabled processes,customer value,socail network,social sciences computing,sdcmsp platform,enterprise management
New business development,Artifact-centric business process model,Data mining,Enterprise architecture,Computer science,Enterprise software,Knowledge management,Business relationship management,Business process modeling,Business rule,Business architecture,Database
Conference
ISSN
Citations 
PageRank 
2379-7703
1
0.41
References 
Authors
10
5
Name
Order
Citations
PageRank
Liqiang Wang121.15
Shijun Liu23116.68
Li Pan33918.95
Lei Wu47317.47
Xiangxu Meng530860.76