Journal of Enterprise and Business Intelligence


Examining Collaborative Business Process Modeling Techniques



Journal of Enterprise and Business Intelligence

Received On : 20 March 2023

Revised On : 15 May 2023

Accepted On : 10 Jul 2023

Published On : 05 January 2024

Volume 04, Issue 01

Pages : 022-031


Abstract


In recent years, there has been a significant increase in the recognition and use of Business Process Management (BPM) in both academic research and practical applications. The use of innovative ICT plays a crucial role in efficacy enhancement and efficiency of corporate collaboration and the management of inter-organizational business processes. Within this particular context, it is essential for organizations that engage in cooperation to possess a collective comprehension of their internal processes, as well as those of their collaborating partners. Additionally, they must also possess an awareness of the evolving inter-organizational process structures that may arise. To foster a collective comprehension, the use of collaborative modeling might prove to be a valuable strategy. The scope of business processes extends to include activities that go outside the confines of a company, hence necessitating the adoption of process of modelling collaborative business. The practice of BPM involves several intricate iterations and extensive collaboration between business analysts and domain experts. Processes of collaborative business serve as enablers for businesses to cultivate adaptable and dynamic partnerships, allowing them to effectively respond to changing circumstances and maintain competitiveness within the global market. The primary objective of this study is to conduct a comprehensive examination of contemporary cBPM methodologies.


Keywords


Business Process Modeling, Collaborative Business Process Modeling, Integrated Definition for Function Modeling, Unified Modeling Language.


  1. M. Tinnilä, “Strategic perspective to business process redesign,” Business Process Management Journal, vol. 1, no. 1, pp. 44–59, 1995, doi: 10.1108/14637159510798202.
  2. M. Al-Mashari, “Business process management – major challenges,” Business Process Management Journal, vol. 8, no. 5, Dec. 2002, doi: 10.1108/bpmj.2002.15708eaa.001.
  3. P. Massingham and M. Al Holaibi, “Embedding Knowledge Management into Business Processes,” Knowledge and Process Management, vol. 24, no. 1, pp. 53–71, Jan. 2017, doi: 10.1002/kpm.1534.
  4. K. Aslam, Y. Chen, M. Butt, and I. Malavolta, “Cross-Platform Real-Time Collaborative Modeling: An Architecture and a Prototype Implementation via EMF.Cloud,” IEEE Access, vol. 11, pp. 49241–49260, 2023, doi: 10.1109/access.2023.3276872.
  5. P. Candelas and D. J. Raine, “General-relativistic quantum field theory: An exactly soluble model,” Physical Review D, vol. 12, no. 4, pp. 965–974, Aug. 1975, doi: 10.1103/physrevd.12.965.
  6. T.-L. Chin, P. Ramanathan, and K. K. Saluja, “Modeling Detection Latency with Collaborative Mobile Sensing Architecture,” IEEE Transactions on Computers, vol. 58, no. 5, pp. 692–705, May 2009, doi: 10.1109/tc.2008.189.
  7. J. Page, “Images for understanding: Movement notations and visual recordings,” Visual Anthropology, vol. 8, no. 2–4, pp. 171–196, Jul. 1996, doi: 10.1080/08949468.1996.9966675.
  8. Y. Y. Su, D. Liang, and H. Dong, “GSPN-Based Modeling of Virtual Teams Building in Collaborative Process Planning,” Applied Mechanics and Materials, vol. 496–500, pp. 1783–1787, Jan. 2014, doi: 10.4028/www.scientific.net/amm.496-500.1783.
  9. F. Wei and K. Mei, “Frequency inception based graph neural network for relation prediction in knowledge graphs,” Knowledge-Based Systems, vol. 278, p. 110908, Oct. 2023, doi: 10.1016/j.knosys.2023.110908.
  10. A. Smiarowski and T. Chen, “Extending Geobandwidth using the Multipulse Configuration,” ASEG Extended Abstracts, vol. 2016, no. 1, pp. 1–4, Dec. 2016, doi: 10.1071/aseg2016ab182.
  11. H.-S. Son, W.-Y. Kim, and R. Y.-C. Kim, “MDA(Model Driven Architecture) based Design for Multitasking of Heterogeneous Embedded System,” The KIPS Transactions:PartD, vol. 15D, no. 3, pp. 355–360, Jun. 2008, doi: 10.3745/kipstd.2008.15-d.3.355.
  12. A. W. Brown, “Model driven architecture: Principles and practice,” Software and Systems Modeling, Aug. 2004, Published, doi: 10.1007/s10270-004-0061-2.
  13. J. WANG, Y. ZHANG, and J. LUO, “Performance analysis of new stochastic colored Petri nets,” Journal of Computer Applications, vol. 28, no. 2, pp. 292–293, Feb. 2008, doi: 10.3724/sp.j.1087.2008.00292.
  14. P. Jedlička, “XML format for notation of object-oriented Petri net,” Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, vol. 55, no. 3, pp. 47–56, Nov. 2014, doi: 10.11118/actaun200755030047.
  15. S. Klink, Y. Li, and A. Oberweis, “INCOME2010 - a Toolset for Developing Process-Oriented Information Systems Based on Petri Nets,” ResearchGate, Mar. 03, 2008. https://doi.org/10.1145/1416222.1416241
  16. X. Gao, Y. Zhu, and S. Liu, “Attack Composition Model Based on Generalized Stochastic Colored Petri Nets,” Journal of Electronics & Information Technology, vol. 35, no. 11, pp. 2608–2614, Feb. 2014, doi: 10.3724/sp.j.1146.2013.00090.
  17. S. Shahzadi, X. Fang, and D. A. Alilah, “Role of Stochastic Petri Net (SPN) in Process Discovery for Modelling and Analysis,” Mathematical Problems in Engineering, vol. 2021, pp. 1–7, Jun. 2021, doi: 10.1155/2021/8699164.
  18. “ExSpecT - Executable Specification Tool.” http://www.exspect.com
  19. K. Aslam, Y. Chen, M. Butt, and I. Malavolta, “Cross-Platform Real-Time Collaborative Modeling: An Architecture and a Prototype Implementation via EMF.Cloud,” IEEE Access, vol. 11, pp. 49241–49260, 2023, doi: 10.1109/access.2023.3276872.
  20. T. Wang and J. Feng, “Modeling and optimization of concurrent execution process of coupled design-construction tasks under design-build mode,” Concurrent Engineering, vol. 30, no. 4, pp. 353–366, Aug. 2022, doi: 10.1177/1063293x221117865.
  21. J. Barjis, “CPI modeling: Collaborative, participative, interactive modeling,” Proceedings of the 2011 Winter Simulation Conference (WSC), Dec. 2011, Published, doi: 10.1109/wsc.2011.6148009.
  22. Z. S. Belyaeva, “Transformation processes of the corporate development in Russia: corporate social responsibility,” Economy of Region, pp. 142–146, 2011, doi: 10.17059/2011-1-17.
  23. M. Kłodawski and J. Żak, “Order Picking Area Layout and Its Impact on the Efficiency of Order Picking Process,” Journal of Traffic and Logistics Engineering, vol. 1, no. 1, pp. 41–45, 2013, doi: 10.12720/jtle.1.1.41-45.
  24. J. Bara, P. Turrini, and G. Andrighetto, “Enabling imitation-based cooperation in dynamic social networks,” Autonomous Agents and Multi-Agent Systems, vol. 36, no. 2, May 2022, doi: 10.1007/s10458-022-09562-w.
  25. W. Zhu, D. Li, and W. Saad, “Multiple Vehicles Collaborative Data Download Protocol via Network Coding,” IEEE Transactions on Vehicular Technology, vol. 64, no. 4, pp. 1607–1619, Apr. 2015, doi: 10.1109/tvt.2014.2330978.
  26. R. Wang, “A Co-Evolutionary Contract Net-Based Framework for Distributed Manufacturing Execution Systems,” Advanced Materials Research, vol. 142, pp. 6–10, Oct. 2010, doi: 10.4028/www.scientific.net/amr.142.6.
  27. K. Ngamakeur and S. Yongchareon, “A contract-based workflow execution framework for realizing artifact-centric business processes in a dynamic and collaborative environment,” International Journal of Web Information Systems, vol. 16, no. 4, pp. 427–449, Sep. 2020, doi: 10.1108/ijwis-04-2020-0020.
  28. G. Bazydło, “Designing Reconfigurable Cyber-Physical Systems Using Unified Modeling Language,” Energies, vol. 16, no. 3, p. 1273, Jan. 2023, doi: 10.3390/en16031273.
  29. K. Vidyasankar and G. Vossen, “Multi-Level Modeling of Web Service Compositions with Transactional Properties,” Journal of Database Management, vol. 22, no. 2, pp. 1–31, Apr. 2011, doi: 10.4018/jdm.2011040101.
  30. R. Wörzberger and T. Heer, “DYPROTO â tools for dynamic business processes,” International Journal of Business Process Integration and Management, vol. 5, no. 4, p. 324, 2011, doi: 10.1504/ijbpim.2011.043391.
  31. M. Nandy, “Business-to-Business (B2B) Website Use by Buyer-Supplier Dyads in India: A Framework for Determining the System Pressures to Use,” International Journal of Business Information Systems, vol. 1, no. 1, 2023, doi: 10.1504/ijbis.2023.10059103.
  32. W. Tann and H.-J. Shaw, “Constructing Web-Based Object-Oriented Design Support System for Collaborative Ship Modeling,” Marine Technology and SNAME News, vol. 44, no. 03, pp. 139–150, Jul. 2007, doi: 10.5957/mt1.2007.44.3.139.

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Cite this article


Sun Young, “Examining Collaborative Business Process Modeling Techniques”, Journal of Enterprise and Business Intelligence, vol.4, no.1, pp. 022-031, January 2024. doi: 10.53759/5181/JEBI202404003.


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© 2024 Sun Young. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.