Abstract | ||
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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 |
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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 Wang | 1 | 2 | 1.15 |
Shijun Liu | 2 | 31 | 16.68 |
Li Pan | 3 | 39 | 18.95 |
Lei Wu | 4 | 73 | 17.47 |
Xiangxu Meng | 5 | 308 | 60.76 |