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Article
SUPER: Social-based business process management framework
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Zakaria Maamar, Zayed University
  • Sherif Sakr, King Saud bin Abdulaziz University for Health Sciences
  • Noura Faci, Université Claude Bernard Lyon 1
  • Mohamed Boukhebouze, Centre d’Excellence en Technologies de l’Information et de la Communication
  • Ahmed Barnawi, King Abdulaziz University
Document Type
Conference Proceeding
Publication Date
1-1-2015
Abstract

© Springer International Publishing Switzerland 2015. In this demo paper, we present SUPER standing for Socialbased bUsiness Process managEment fRamework that leverages social computing principles for the design and development of social business processes (aka business processes 2.0). SUPER identifies task, person, and machine as the core components of a business process. Afterwards, SUPER establishes a set of execution and social relations to illustrate how tasks (also persons and machines) are connected together. The social relations help build configuration network of tasks, social network of persons, and support network of machines that capture the ongoing interactions during business process execution.

ISBN
9783319228846
Publisher
Springer Verlag
Keywords
  • Distributed computer systems,
  • Enterprise resource management,
  • Machine components,
  • Business Process,
  • Business process execution,
  • Business process management,
  • Design and Development,
  • Social business,
  • Social computing,
  • Social relations,
  • Support networks,
  • Administrative data processing
Scopus ID
84983598031
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-319-22885-3_38
Citation Information
Zakaria Maamar, Sherif Sakr, Noura Faci, Mohamed Boukhebouze, et al.. "SUPER: Social-based business process management framework" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8954 (2015) p. 413 - 417 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/zakaria-maamar/242/