The Need for Compliance Verification in Collaborative Business Processes

Authors: De Vrieze, P. and Xu, L.

Editors: Camarinha-Matos, L., Afsarmanesh, H. and Rezgui, Y.

http://eprints.bournemouth.ac.uk/31237/

Start date: 17 September 2018

Journal: Collaborative Networks of Cognitive Systems. PRO-VE 2018. IFIP Advances in Information and Communication Technology

Volume: 534

Pages: 217-229

Publisher: Springer

Place of Publication: Cham

eISSN: 1868-422X

ISBN: 978-3-319-99127-6

ISSN: 1868-4238

DOI: 10.1007/978-3-319-99127-6_19

This data was imported from Scopus:

Authors: Kasse, J.P., Xu, L., deVrieze, P. and Bai, Y.

http://eprints.bournemouth.ac.uk/31237/

Journal: IFIP Advances in Information and Communication Technology

Volume: 534

Pages: 217-229

ISBN: 9783319991269

ISSN: 1868-4238

DOI: 10.1007/978-3-319-99127-6_19

© 2018, IFIP International Federation for Information Processing. Compliance constrains processes to adhere to rules, standards, laws and regulations. Non-compliance subjects enterprises to litigation and financial fines. Collaborative business processes cross organizational and regional borders implying that internal and cross regional regulations must be complied with. To protect customs’ data, European enterprises must comply with the EU data privacy regulation (general data protection regulation - GDPR) and each member state’s data protection laws. An example of non-compliance with GDPR is Facebook, it is accused for breaching subscriber trust. Compliance verification is thus essential to deploy and implement collaborative business process systems. It ensures that processes are checked for conformance to compliance requirements throughout their life cycle. In this paper we take a proactive approach aiming to discuss the need for design time preventative compliance verification as opposed to after effect runtime detective approach. We use a real-world case to show how compliance needs to be analyzed and show the benefits of applying compliance check at the process design stage.

This data was imported from Web of Science (Lite):

Authors: Kasse, J.P., Xu, L., de Vrieze, P. and Bai, Y.

http://eprints.bournemouth.ac.uk/31237/

Journal: COLLABORATIVE NETWORKS OF COGNITIVE SYSTEMS

Volume: 534

Pages: 217-229

eISSN: 1868-422X

ISBN: 978-3-319-99126-9

ISSN: 1868-4238

DOI: 10.1007/978-3-319-99127-6_19

The data on this page was last updated at 05:09 on February 24, 2020.