Abstract
Enterprise digitalization results in an evolving and dynamic IT landscape of digital elements, relations, knowledge, content, activities, and business processes (BPs), which are spread across disparate enterprise IT systems, repositories, and tools. To be relevant, useful, and actionable, Enterprise Architecture (EA) relies on comprehensive documentation based on underlying information corresponding to reality. Yet current diagram-centric 2D visualizations for EA and BP models are too limited in scope to express reality (intentionally simplifying), are typically static (and not kept up-to-date), and cannot express and integrate the changing complexities of the enterprise context. This misalignment with reality and a changing enterprise misinforms and constrains the context-awareness and perception of EA and BP for stakeholders, impeding analyses, management, and holistic insights into the enterprise digital reality. This paper contributes our nexus-based Virtual Reality (VR) solution concept VR-EvoEA+BP to support comprehensive enterprise context visualization in conjunction with EA and model evolution and BP mining and analysis. Portraying an organic, evolving, and dynamic enterprise while supplementing static enterprise structure depictions, our implementation demonstrates its feasibility. A case study based on enterprise analysis and BP scenarios exhibits its potential.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Robinson, J.M.: An Introduction to Early Greek Philosophy: The Chief Fragments and Ancient Testimony, with Connecting Commentary, p. 90. Advanced Reasoning Forum, Fragment 5.14 (2021)
Jarvis, B.: Enterprise Architecture: Understanding the Bigger Picture – A Best Practice Guide for Decision Makers in IT. The UK National Computing Centre (2003)
Hoogervorst, J.: Enterprise Governance and Enterprise Engineering. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-92671-9
Sousa, P., Leal, R., Sampaio, A.: Atlas: the enterprise cartography tool. In: 18th Enterprise Engineering Working Conference Forum, vol. 2229. CEUR-WS.org (2018)
Sandkuhl, K., et al.: From expert discipline to common practice: a vision and research agenda for extending the reach of enterprise modeling. Bus. Inf. Syst. Eng. 60(1), 69–80 (2018). https://doi.org/10.1007/s12599-017-0516-y
Müller, R., Kovacs, P., Schilbach, J., Zeckzer, D.: How to master challenges in experimental evaluation of 2D versus 3D software visualizations. In: 2014 IEEE VIS International Workshop on 3Dvis (3Dvis), pp. 33–36. IEEE (2014)
Oberhauser, R., Sousa, P., Michel, F.: VR-EAT: visualization of enterprise architecture tool diagrams in virtual reality. In: Shishkov, B. (ed.) BMSD 2020. LNBIP, vol. 391, pp. 221–239. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-52306-0_14
Oberhauser, R., Pogolski, C., Matic, A.: VR-BPMN: visualizing BPMN models in virtual reality. In: Shishkov, B. (ed.) BMSD 2018. LNBIP, vol. 319, pp. 83–97. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94214-8_6
Object Management Group: BPMN Specification 2.0.2 (2014). https://www.bpmn.org
Oberhauser, R.: VR-ProcessMine: immersive process mining visualization and analysis in virtual reality. In: The Fourteenth International Conference on Information, Process, and Knowledge Management (eKNOW 2022), pp. 29–36. IARIA (2022)
Oberhauser, R., Baehre, M., Sousa, P.: VR-EA+TCK: visualizing enterprise architecture, content, and knowledge in virtual reality. In: Shishkov, B. (eds.) Business Modeling and Software Design (BMSD 2022), pp. 122–140. LNBIP, vol. 453. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-11510-3_8
Rehring, K., Hoffmann, D., Ahlemann, F.: Put your glasses on: conceptualizing affordances of mixed and virtual reality for enterprise architecture management. Multikonferenz Wirtschaftsinformatik (2018)
Rehring, K., Greulich, M., Bredenfeld, L., Ahlemann, F.: Let’s get in touch – decision making about enterprise architecture using 3D visualization in augmented reality. In: Proceedings of 52nd Hawaii International Conference on System Sciences (HICSS), pp. 1769–1778. IEEE (2019)
Roth, S., Zec, M., Matthes, F.: Enterprise architecture visualization tool survey. Technical Report, Sebis, Technical University Munich (2014)
Jugel, D., Sandkuhl, K., Zimmermann, A.: Visual analytics in enterprise architecture management: a systematic literature review. In: Abramowicz, W., Alt, R., Franczyk, B. (eds.) BIS 2016. LNBIP, vol. 263, pp. 99–110. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-52464-1_10
Naranjo, D., Sánchez, M., Villalobos, J.: Towards a unified and modular approach for visual analysis of enterprise models. In: Proceedings of EDOCW 2014, pp. 77–86. IEEE (2014)
The OpenGroup: The ArchiMate® Enterprise Architecture Modeling Language (2016)
Rehring, K., Brée, T., Gulden, J., Bredenfeld, L.: Conceptualizing EA cities: towards visualizing enterprise architectures as cities. In: Twenty-Seventh European Conference on Information Systems (ECIS2019), Stockholm-Uppsala, Sweden (2019)
Roth, S., Matthes, F.: Visualizing differences of enterprise architecture models. In: International Workshop on Comparison and Versioning of Software Models at Software Engineering (2014)
Sousa, P.: Enterprise cartography. In: Enterprise Architecture and Cartography: From Practice to Theory; From Representation to Design, pp. 141–156. Springer, (2022). https://doi.org/10.1007/978-3-030-96264-7_5
Dani, V., Freitas, C., Thom, L.H.: Ten years of visualization of business process models: a systematic literature review. Comput. Stand. Interfaces 66, 103347 (2019)
Grambow, G., Hieber, D., Oberhauser, R., Pogolski, C.: A context and augmented reality BPMN and BPMS extension for industrial internet of things processes. In: Marrella, A., Weber, B. (eds.) BPM 2021. LNBIP, vol. 436, pp. 379–390. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-94343-1_29
Grambow, G., Hieber, D., Oberhauser, R., Pogolski, C.: ARPF - an augmented reality process framework for context-aware process execution in industry 4.0 processes. Int. J. Adv. Intell. Syst. 15(1 & 2), 49–59 (2022)
Muff, F., Fill, H.G.: A framework for context-dependent augmented reality applications using machine learning and ontological reasoning. In: AAAI-MAKE 2022 (2022)
Grum, M., Gronau, N.: Process modeling within augmented reality. In: Shishkov, B. (ed.) BMSD 2018. LNBIP, vol. 319, pp. 98–115. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94214-8_7
Denner, M.-S., Röglinger, M., Schmiedel, T., Stelzl, K., Wehking, C.: How context-aware are extant bpm methods? - Development of an assessment scheme. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds.) BPM 2018. LNCS, vol. 11080, pp. 480–495. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98648-7_28
Taymouri, F., La Rosa, M., Dumas, M., Maggi, F.M.: Business process variant analysis: survey and classification. Knowl.-Based Syst. 211, 106557 (2021)
Sousa, P., Lima, J., Sampaio, A., Pereira, C.: An approach for creating and managing enterprise blueprints: a case for IT blueprints. In: Albani, A., Barjis, J., Dietz, J.L.G. (eds.) CIAO!/EOMAS - 2009. LNBIP, vol. 34, pp. 70–84. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01915-9_6
The OpenGroup: The TOGAF® Standard, Version 9.2 (2018)
Oberhauser, R., Pogolski, C.: VR-EA: virtual reality visualization of enterprise architecture models with archimate and BPMN. In: Shishkov, B. (ed.) BMSD 2019. LNBIP, vol. 356, pp. 170–187. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24854-3_11
Pogorzelska, B.: KMDL® v2.2 a semi-formal description language for modelling knowledge conversions. In: Gronau, N. (ed.) Modeling and Analyzing Knowledge Intensive Business Processes with KMDL, pp. 87–192. GITO mbH Verlag (2012)
Bichler, M.: Design science in information systems research. Wirtschaftsinformatik 48(2), 133–135 (2006). https://doi.org/10.1007/s11576-006-0028-8
van der Aalst, W.M.P.: Process Mining. Springer, Heidelberg (2011)
Berti, A., van Zelst, S.J., van der Aalst, W.M.P.: Process mining for Python (PM4Py): bridging the gap between process-and data science. In: Proceedings of ICPM Demo Track 2019, International Conference on Process Mining (ICPM 2019), pp. 13–16 (2019) http://ceur-ws.org/Vol-2374/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Oberhauser, R., Baehre, M., Sousa, P. (2023). VR-EvoEA+BP: Using Virtual Reality to Visualize Enterprise Context Dynamics Related to Enterprise Evolution and Business Processes. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2023. Lecture Notes in Business Information Processing, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-031-36757-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-36757-1_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-36756-4
Online ISBN: 978-3-031-36757-1
eBook Packages: Computer ScienceComputer Science (R0)