Abstract
A complex and dynamic IT landscape with evermore digital elements, relations, and content presents a challenge for Enterprise Architecture (EA). Disparate digital repositories, including Knowledge Management Systems (KMS), Enterprise Content Management Systems (ECMS), and Enterprise Architecture Tools (EAT), often remain disjointed. And even if integrated, insights remain hindered by current visualization limitations, making it increasingly difficult to analyze, manage, and gain insights into the digital enterprise reality. This paper contributes our nexus-based Virtual Reality (VR) solution concept VR-EA+TCK that enhances and amalgamates EAT with KMS and ECMS capabilities. By enabling visualization, navigation, and interaction in VR with dynamically-generated EA diagrams, knowledge/value chains, and KMS/ECMS digital entities, it sets the groundwork for stakeholder-accessible grassroots enterprise modeling/analysis and future collaboration in a metaverse. An implementation shows its feasibility, while a case study demonstrates its potential using enterprise analysis scenarios: ECMS/KMS coverage in the EA, business processes, knowledge chains, Wardley Maps, and risk analysis.
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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 (2009)
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
Rickenberg, T.A., Fill, H.G., Breitner, M.H.: Enterprise content management systems as a knowledge infrastructure. Inte. J. e-Collaboration 11(3), 49–70 (2015)
Venkatraman, N.: Managing IT resources as a value center, IS Executive Seminar Series. Cranfield School of Management (1996)
Steuer, J.: Defining virtual reality: dimensions determining telepresence. J. Commun. 42(4), 73–93 (1992)
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.: 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
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
Rehring, K., Hoffmann, D., Ahlemann, F.: Put your glasses on: conceptualizing affordances of mixed and virtual reality for enterprise architecture management. Multikonferenz Wirtschaftsinformatik (2018)
Roth, S., Zec, M., Matthes, F.: Enterprise architecture visualization tool survey. Technical Report, sebis. Technical University Munich (2014)
Naranjo, D., Sánchez, M., Villalobos, J.: Towards a unified and modular approach for visual analysis of enterprise models. In: 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, pp. 77–86. IEEE (2014)
Yan, H.S.: A new complicated-knowledge representation approach based on knowledge meshes. IEEE Trans. Knowl. Data Eng. 18(1), 47–62 (2005)
Górski, F., Buń, P., Zawadzki, P., Wichniarek, R.: Knowledge Management in Open Industrial Virtual Reality Applications. In: Trojanowska, J., Ciszak, O., Machado, J.M., Pavlenko, I. (eds.) MANUFACTURING 2019. LNME, pp. 104–118. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18715-6_9
Zenkert, J., Holland, A., Fathi, M.: Discovering contextual knowledge with associated information in dimensional structured knowledge bases. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1923–1928. IEEE (2016)
Alalwan, J.A., Weistroffer, H.R.: Enterprise content management research: a comprehensive review. Journal of Enterprise Information Management (2012)
Escalona, M., Domínguez-Mayo, F., García-García, J., Sánchez, N., Ponce, J.: Evaluating enterprise content management tools in a real context. J. Softw. Eng. Appl. 8, 431–453 (2015). https://doi.org/10.4236/jsea.2015.88042
Sehring, H.W.: Adaptive content visualization in concept-oriented content management systems. In: 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, pp. 659–664. IEEE (2009)
Dammak, H., Dkhil, A., Cherifi, A., Gardoni, M.: Enterprise content management systems: a graphical approach to improve the creativity during ideation sessions—case study of an innovation competition “24 h of innovation.” Int. J. Interact. Design and Manuf. (IJIDeM) 14(3), 939–953 (2020)
Sousa, P., Lima, J., Sampaio, A., Pereira, C.: An approach for creating and managing enterprise blueprints: a case for IT blueprints. In: 21st International Conference on Advanced Information Systems. LNBIP, vol. 34, pp. 70–84. Springer-Verlag (2009)
Tribolet, J., Sousa, P., Caetano, A.: The role of enterprise governance and cartography in enterprise engineering. Enterprise Modelling and Information Systems Architectures 9(1), 38–49 (2014)
Sousa, P., Carvalho, M.: Dynamic organization's representation. linking project management with enterprise architecture. In: IEEE 20th Conf. on Business Informatics (CBI), vol. 2, pp. 170–174. IEEE (2018a)
Sousa, P., Cardoso, D., Colaço, J.: Managing multi-view business processes models in the Atlas tool. In: Proc. of the 19th Enterprise Engineering Working Conference Forum, vol. 2408. CEUR-WS.org (2019)
Sousa, P. et al.: Enterprise transformation: the serasa experian case. In: Practice-Driven Research on Enterprise Transformation (PRET 2011). LNBIP, vol. 89, pp. 134-145. Springer, Berlin, Heidelberg (2011)
Sousa, P., Sampaio, A. Leal, R.: A Case for a living enterprise architecture in a private bank. In: 8th Workshop on Transformation & Engineering of Enterprises (TEE 2014), vol. 1182. CEUR-WS.org (2014)
Oberhauser, R.: VR-UML: The Unified Modeling Language in Virtual Reality – An Immersive Modeling Experience. In: Shishkov, B. (ed.) BMSD 2021. LNBIP, vol. 422, pp. 40–58. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79976-2_3
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: Comprehensive insights into theory and practice, pp. 87–192. GITO mbH Verlag (2012)
Gronau, N.: Knowledge Modeling and Description Language 3.0 - Eine Einführung. GITO mbH Verlag, Berlin (2020)
Wardley, S.: Wardley Maps: The use of topographical intelligence in business strategy. Medium (10 Aug 2016). https://medium.com/wardleymaps/finding-a-path-cdb1249078c0
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The authors would like to thank Ricardo Santos Leal for his assistance with Atlas.
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Oberhauser, R., Baehre, M., Sousa, P. (2022). VR-EA+TCK: Visualizing Enterprise Architecture, Content, and Knowledge in Virtual Reality. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2022. Lecture Notes in Business Information Processing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-11510-3_8
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