Enabling intelligent business processes with context awareness

Zhao, X; Yongchareon, S; Cho, N; Shen, J; Dewan, S

Enabling intelligent business processes with context awareness

Zhao, X Yongchareon, S Cho, N Shen, J

Dewan, S

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services, 2018, pp. 153 - 160
Issue Date:: 2018-09-05

Closed Access

	Filename	Description	Size
	SCC2018 camera ready.pdf		418.06 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhao, X	en_US
dc.contributor.author	Yongchareon, S	en_US
dc.contributor.author	Cho, N	en_US
dc.contributor.author	Shen, J https://orcid.org/0000-0002-9403-7140	en_US
dc.contributor.author	Dewan, S	en_US
dc.date.available	2020-09-06T19:05:55Z
dc.date.issued	2018-09-05	en_US
dc.identifier.citation	Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services, 2018, pp. 153 - 160	en_US
dc.identifier.isbn	9781538672501	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131249
dc.description.abstract	© 2018 IEEE. Sensing technologies provide system applications with the awareness of environmental conditions, customer behaviours, object movements, etc. Further, with such capability, system applications can be smart to intelligently adapt their responses to the changing conditions. With regard to business operations, these system applications ensure that business processes can run more intelligently and adaptively. These features will undoubtedly improve customer experience, enhance the reliability of service delivery and lower the operational cost for a more competitive and sustainable business. To enable context awareness to business process management, this paper proposes a conceptual method of depicting the context of a business process and the related mechanism of perceiving the contextual dynamics. A running example demonstrates the applicability of the proposed method and the improvements to process performance are evaluated using process simulations.	en_US
dc.relation.ispartof	Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services	en_US
dc.relation.isbasedon	10.1109/SCC.2018.00027	en_US
dc.title	Enabling intelligent business processes with context awareness	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access
pubs.declined	2019-03-13T00:26:19.629+1100
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Sensing technologies provide system applications with the awareness of environmental conditions, customer behaviours, object movements, etc. Further, with such capability, system applications can be smart to intelligently adapt their responses to the changing conditions. With regard to business operations, these system applications ensure that business processes can run more intelligently and adaptively. These features will undoubtedly improve customer experience, enhance the reliability of service delivery and lower the operational cost for a more competitive and sustainable business. To enable context awareness to business process management, this paper proposes a conceptual method of depicting the context of a business process and the related mechanism of perceiving the contextual dynamics. A running example demonstrates the applicability of the proposed method and the improvements to process performance are evaluated using process simulations.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/131249