A reference architecture for managing dynamic anizational business processes.pdf.pdf

Data & Knowledge Engineering 91 (2014) 52–89
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Data & Knowledge Engineering
journal homepage: ate/datak
Editorial
A reference architecture for managing dynamic
anizational business processes
Alex Norta a, Paul Grefen b, Nanjangud C. Narendra c
a Tallinn University of Technology, Department of Informatics, Akadeemia Tee 15A, EE-12616, Tallinn, Estonia
b Eindhoven University of Technology, Faculty of Technology and Management, Department of Information Systems,
. Box 513, NL-5600 MB, Eindhoven, herlands
c Cognizant Technology Solutions, Bangalore, India
article info abstract
Article history: For improving the efficiency and effectiveness of business collaboration, the need emerges to
Received 13 September 2011 anizationally match e-business services. Recent research activities show heightened
Received in revised form 1 April 2014 attention into that direction with the ecosystems-emergence of service-puting
Accepted 4 April 2014 clouds. As this increases the business-, conceptual-, and technical plexity, a
Available online 25 April 2014
need exists for using a reference architecture to evaluate and design standard-, and concrete
architectures for business-to-business (B2B) collaboration. In this paper, we fill that gap by
Keywords: presenting the eSourcing Reference Architecture eSRA that emerges from B2B-research
eSourcing projects and we check this with a scenario-based validation method. We demonstrate how
anizational
eSRA enables a quick evaluation of not only research-based B2B-architectures but also of
Reference architecture
Business process industry application suits. That way, we show the usability and applicability in that with
Ecosystems the help of eSRA, system designers directly establish prehensive understanding of
Cross-enterprise fundamental B2B concepts and develop higher-quality domain-specific architectures.
© 2014 Elsevier . All rights reserved.
1. Introduction
Compan