CFP DSS

Special Issue of Decision Support Systems on “Smart Business Process Management”

Special Issue Editors

  • Bart Baesens – KU Leuven
  • Abraham Bernstein — DDIS, University of Zurich
  • Michael Fellmann — University of Rostock
  • Asunción Gómez Pérez — Universidad Politécnica de Madrid
  • Jan Mendling — WU Wien

Call for Contributions

Business Process Management is an integrated approach towards the alignment of information systems with business requirements. Business Process Management (BPM) is often described with the help of the BPM life cycle. This life cycle covers, for instance, the activities of process identification, discovery, analysis, (re-)design, implementation and monitoring (Dumas et al. 2013). Additionally, strategy, governance, methods, information technology, people and culture are considered to be important facets of a BPM initiative (Rosemann, vom Brocke 2015).

BPM is supported by a diverse set of concepts and techniques. On the modeling and analysis level, a variety of different strategies for support exists such as auto-completion, correctness and compliance checking, abstraction and matching, and semantic patterns. On the execution and monitoring level, the application of techniques such as recommender systems, automatic planning approaches, adaptive case management, complex event processing or semantic matching have been proposed. Semantic technologies play an important role for many of these applications (see e.g., Hepp et al. 2005, Leopold 2013, Fellmann et al. 2015, Mendling et al. 2015, Conforti et al. 2015) to provide smart functionality.

This Special Issue invites researchers that work at the intersection of BPM and Smart Technologies to submit original research papers.

Submissions should address research problems in the area of BPM and the intersection of, among others, the following (and related) topics:

  • BPM and formal ontologies
  • BPM and natural language processing
  • BPM and social media content
  • BPM and machine learning
  • BPM and decision support
  • BPM and process mining
  • BPM and sensor data
  • BPM and reasoning
  • BPM and the Internet of Things
  • BPM and automatic matching
  • BPM and semantic modeling support
  • BPM and querying techniques
  • BPM and complex event processing
  • BPM and automatic planning
  • BPM and verification
  • BPM and documentation
  • BPM and flexibility execution

The special issue embraces submissions on new concepts, techniques, methods and approaches as well as studies that empirically investigate new or existing techniques for their feasibility, effectiveness, efficiency, and usability.

Timeline

  1. 01 July 2016 — Submission Deadline
  2. 15 October 2016 — Notification of First Review Round, Selection of Papers to be
  3. 20 December 2016 — Submission of First Revisions
  4. 15 March 2017 — Notification of Second Review Round
  5. 01 June 2017 — Submission of Second Revisions
  6. Final Handling and Decisions

References

  • Conforti, de Leoni, La Rosa, van der Aalst, ter Hofstede: A recommendation system for predicting risks across multiple business process instances. Decision Support Systems 69(1): 1-19, 2015. Springer 2013.
  • Dumas, La Rosa, Mendling, Reijers: Fundamentals of Business Process Management.
  • Fellmann, Delfmann, Koschmider, Laue, Leopold, Schoknecht: Semantic Technology in Business Process Modeling and Analysis. Part 1: Matching, Modeling Support, Correctness and Compliance. EMISA Forum 35(1), 2015.
  • Hepp, Leymann, Domingue, Wahler, Fensel: Semantic Business Process Management: A Vision Towards Using Semantic Web Services for Business Process Management. ICEBE 2005: 535-540.
  • Leopold, Eid-Sabbagh, Mendling, Guerreiro Azevedo, Araujo Baião: Detection of naming convention violations in process models for different languages. Decision Support Systems 56(1): 310-325, 2013
  • Mendling, Leopold, Pittke: 25 Challenges for Semantic Process Modeling. International Journal of Information Systems and Software Engineering for Big Companies 1(1): 78-94, 2015.
  • Rosemann, vom Brocke: The Six Core Elements of Business Process Management. Handbook on Business Process Management (1) 2015: 105-122.