Title

Bridging the gap between the business and social worlds: A data artifact-driven approach

Document Type

Article

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2017

Abstract

© Springer-Verlag GmbH Germany 2017. The widespread adoption of Web 2.0 applications has forced enterprises to rethink their ways of doing business. To support enterprises in their endeavors, this paper puts forward business-data artifact and social-data artifact to capture, respectively, the intrinsic characteristics of the business world (associated with business process management systems) and social world (associated with Web 2.0 applications), and, also, to make these two worlds work together. While the research community has extensively looked into business-data artifacts, there is a limited knowledge about/interest in social-data artifacts. This paper defines social-data artifact, analyzes the interactions between business- and social-data artifacts, and develops an architecture to support these interactions. For demonstration purposes, an implementation of a socially-flavored faculty-hiring scenario is discussed in the paper. The implementation calls for specialized components known as social machines that support artifact interaction.

ISSN

0302-9743

Publisher

Springer Berlin Heidelberg

Volume

10680 LNCS

First Page

27

Last Page

49

Disciplines

Business | Computer Sciences | Social and Behavioral Sciences

Keywords

Business-data artifact, Social machine, Social-data artifact, Web 2.0 application

Scopus ID

85033787572

Indexed in Scopus

yes

Open Access

no

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