Skip to main content

Architecting Intelligent Service Ecosystems: Perspectives, Frameworks, and Practices

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 430))

Abstract

The current advancement of Artificial Intelligence (AI) combined with other digitalization efforts significantly impacts service ecosystems. Artificial intelligence has a substantial impact on new opportunities for the co-creation of value and the development of intelligent service ecosystems. Motivated by experiences and observations from digitalization projects, this paper presents new methodological perspectives and experiences from academia and practice on architecting intelligent service ecosystems and explores the impact of artificial intelligence through real cases supporting an ongoing validation. Digital enterprise architecture models serve as an integral representation of business, information, and technological perspectives of intelligent service-based enterprise systems to support management and development. This paper focuses on architectural models for intelligent service ecosystems, showing the fundamental business mechanism of AI-based value co-creation, the corresponding digital architecture, and management models. The focus of this paper presents the key architectural model perspectives for the development of intelligent service ecosystems.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. McAfee, A., Brynjolfsson, E.: Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company, New York (2017)

    Google Scholar 

  2. Schmidt, R., Alt, R., Zimmermann, A.: A conceptual model for assistant platforms. In: 54th Hawaii International Conference on System Sciences (HICSS), Wailea, pp. 4024–4033 (2021)

    Google Scholar 

  3. Vargo, S.L., Lusch, R.F.: Institutions and axioms: an extension and update of service-dominant logic. J. Acad. Mark. Sci. 44(1), 5–23 (2015). https://doi.org/10.1007/s11747-015-0456-3

    Article  Google Scholar 

  4. Newman, S.: Building Microservices: [Designing Fine-Grained Systems]. O’Reilly, Beijing (2015)

    Google Scholar 

  5. Subramaniam, M., Iyer, B., Venkatraman, V.: Competing in digital ecosystems. Bus. Horiz. 62, 83–94 (2019)

    Article  Google Scholar 

  6. Vargo, S.L., Lusch, R.F.: Evolving to a new dominant logic for marketing. J. Market. 68, 1–17 (2004)

    Article  Google Scholar 

  7. Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Pearson Education Limited, Malaysia (2016)

    MATH  Google Scholar 

  8. Poole, D.L., Mackworth, A.K.: Artificial Intelligence: Foundations of Computational Agents. Cambridge University Press, Cambridge (2017)

    Book  Google Scholar 

  9. Brynjolfsson, E., McAfee, A.: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company, New York (2014)

    Google Scholar 

  10. Rao, A.S., Verweij, G.: Sizing the prize what’s the real value of AI for your business and how can you capitalize? PwC (2017)

    Google Scholar 

  11. Siddike, M.A.K., Hidaka, K., Kohda, Y.: Technology as actors in service systems. In: Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 1030–1039 (2021)

    Google Scholar 

  12. Lusch, R.F., Nambisan, S.: Service innovation: a service-dominant logic perspective. MIS Q. 39, 155–175 (2015). https://doi.org/10.25300/MISQ/2015/39.1.07

  13. Maglio, P., Spohrer, J.: Fundamentals of service science. J. Acad. Mark. Sci. 36, 18–20 (2008). https://doi.org/10.1007/s11747-007-0058-9

    Article  Google Scholar 

  14. Maglio, P., Vargo, S., Caswell, N., Spohrer, J.: The service system is the basic abstraction of service science. IseB 7, 395–406 (2009). https://doi.org/10.1007/s10257-008-0105-1

    Article  Google Scholar 

  15. Munakata, T.: Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More. Springer, London (2008). https://doi.org/10.1007/978-1-84628-839-5

  16. Skansi, S.: Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73004-2

  17. Hwang, K.: Cloud Computing for Machine Learning and Cognitive Applications. MIT Press, Cambridge (2017)

    Google Scholar 

  18. Kearns, M., Roth, A.: The Ethical Algorithm: The Science of Socially Aware Algorithm Design. Oxford University Press, New York (2019)

    Google Scholar 

  19. Lankhorst, M.: Enterprise Architecture at Work. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-662-53933-0

  20. Nurmi, J., Pulkkinen, M., Seppänen, V., Penttinen, K.: Systems approaches in the enterprise architecture field of research: a systematic literature review. In: Aveiro, D., Guizzardi, G., Guerreiro, S., Guédria, W. (eds.) EEWC 2018. LNBIP, vol. 334, pp. 18–38. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-06097-8_2

    Chapter  Google Scholar 

  21. Zimmermann, A., Schmidt, R., Sandkuhl, K., Jugel, D., Schweda, C., Bogner, J.: Architecting digital products and services. In: Zimmermann, A., Schmidt, R., Jain, L.C. (eds.) Architecting the Digital Transformation. ISRL, vol. 188, pp. 181–197. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-49640-1_10

    Chapter  Google Scholar 

  22. Niemi, E., Pekkola, S.: Using enterprise architecture artefacts in an organisation. Enterp. Inf. Syst. 11, 313–338 (2017)

    Article  Google Scholar 

  23. Wan, J., et al.: A manufacturing big data solution for active preventive maintenance. IEEE Trans. Industr. Inf. 13, 2039–2047 (2017)

    Article  Google Scholar 

  24. Hagiu, A.: Strategic decisions for multisided platforms. MIT Sloan Manage. Rev. 55, 71–80 (2014)

    Google Scholar 

  25. Alstyne, M.W.V., Parker, G.G., Choudary, S.P.: Pipelines, platforms, and the new rules of strategy. Harvard Bus. Rev. 94, 54–62 (2016)

    Google Scholar 

  26. Cusumano, M.A., Gawer, A., Yoffie, D.B.: The future of platforms. MIT Sloan Manage. Rev. Spec. Issue Disrupt. 61, 46–54 (2020)

    Google Scholar 

  27. Parker, G., van Alstyne, M.W., Choudary, S.P.: Platform Revolution: How Networked Markets are Transforming the Economy–and How to Make Them Work for You. Norton & Company, New York (2016)

    Google Scholar 

  28. Galvagno, M., Dalli, D.: Theory of value co-creation: a systematic literature review. Manag. Serv. Qual. 24, 643–683 (2014). https://doi.org/10.1108/MSQ-09-2013-0187

    Article  Google Scholar 

  29. Klein, S., Totz, C.: Prosumers as service configurators-vision, status and future requirements1. E-Life After the Dot Com Bust. 119 (2004)

    Google Scholar 

  30. Camilleri, J., Neuhofer, B.: Value co-creation and co-destruction in the Airbnb sharing economy. IJCHM. 29, 2322–2340 (2017). https://doi.org/10.1108/IJCHM-09-2016-0492

    Article  Google Scholar 

  31. Tiwana, A.: Platform Ecosystems: Aligning Architecture, Governance, and Strategy. Morgan Kaufmann, Amsterdam (2013)

    Google Scholar 

  32. Ross, J.W., Beath, C.M., Mocker, M.: Designed for Digital: How to Architect Your Business for Sustained Success. MIT Press, New York (2019)

    Google Scholar 

  33. Lagerström, R., Johnson, P., Ekstedt, M.: Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation. Software Qual J. 18, 437–468 (2010). https://doi.org/10.1007/s11219-010-9100-0

    Article  Google Scholar 

  34. Bones, C., Hammersley, J., Shaw, N.: Optimizing Digital Strategy. Kogan Page (2019)

    Google Scholar 

  35. Weill, P., Ross, J.W.: IT Governance: How Top Performers Manage IT Decision Rights for Superior Results. Harvard Business School Press, Boston (2004)

    Google Scholar 

  36. Rogers, D.L.: The Digital Transformation Playbook: Rethink Your Business for the Digital Age. Columbia University Press, New York (2016). https://doi.org/10.7312/roge17544

  37. Řepa, V., Svatoš, O.: Adaptive and resilient business architecture for the digital age. In: Zimmermann, A., Schmidt, R., Jain, L.C. (eds.) Architecting the Digital Transformation. ISRL, vol. 188, pp. 199–221. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-49640-1_11

    Chapter  Google Scholar 

  38. Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. 5, 4–7 (2001). https://doi.org/10.1007/s007790170019

    Article  Google Scholar 

  39. Bazire, M., Brézillon, P.: Understanding context before using it. In: Dey, A., Kokinov, B., Leake, D., Turner, R. (eds.) CONTEXT 2005. LNCS (LNAI), vol. 3554, pp. 29–40. Springer, Heidelberg (2005). https://doi.org/10.1007/11508373_3

    Chapter  MATH  Google Scholar 

  40. Sandkuhl, K., Borchardt, U.: How to identify the relevant elements of “context” in context-aware information systems? In: Johansson, B., Andersson, B., Holmberg, N. (eds.) BIR 2014. LNBIP, vol. 194, pp. 290–305. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11370-8_21

    Chapter  Google Scholar 

  41. Gergely, T., Ury, L.: Mathematical foundation of cognitive computing based artificial intelligence. In: Osipov, G.S., Panov, A.I., Yakovlev, K.S. (eds.) Artificial Intelligence. LNCS (LNAI), vol. 11866, pp. 29–64. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33274-7_3

    Chapter  Google Scholar 

  42. Valiant, L.G.: Cognitive computation. In: Proceedings of IEEE 36th Annual Foundations of Computer Science, pp. 2–3. IEEE Computer Society Press. Milwaukee (1995). https://doi.org/10.1109/SFCS.1995.492456

  43. Cognitive Catalysts. IBM Institute for Business Value (2017)

    Google Scholar 

  44. van den Hoven, J.: Data architecture: principles for data. Inf. Syst. Manage. 20, 93–96 (2003). https://doi.org/10.1201/1078/43205.20.3.20030601/43078.11

    Article  Google Scholar 

  45. El-Sheikh, E., Zimmermann, A., Jain, L.C. (eds.): Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures. ISRL, vol. 111. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40564-3

    Book  Google Scholar 

  46. Donaldson, S.E., Siegel, S.G., Williams, C.K., Aslam, A.: Enterprise cybersecurity architecture. In: Enterprise Cybersecurity Study Guide, pp. 95–133. Apress, Berkeley (2018). https://doi.org/10.1007/978-1-4842-3258-3_3

  47. Bradley, R.V., Byrd, T.A.: Information technology architecture as a competitive advantage-yielding resource: a theoretical perspective. IJNVO 4, 1 (2007). https://doi.org/10.1504/IJNVO.2007.012079

    Article  Google Scholar 

  48. Goodyear, M., et al.: Enterprise System Architectures: Building Client/Server and Web-based Systems. CRC Press (2017). https://doi.org/10.1201/9780203757239

    Article  MATH  Google Scholar 

  49. Martin, P.: Kubernetes resources. In: Kubernetes, pp. 19–22. Apress, Berkeley (2021). https://doi.org/10.1007/978-1-4842-6494-2_4

  50. Vohra, D.: Docker Management Design Patterns. Apress, Berkeley (2017). https://doi.org/10.1007/978-1-4842-2973-6

  51. Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, T.: An adaptive enterprise architecture framework and implementation: towards global enterprises in the era of cloud/mobile IT/digital IT. Int. J. Enterp. Inf. Syst. (IJEIS) 13, 1–22 (2017)

    Article  Google Scholar 

  52. Masuda, Y., Shirasaka, S., Yamamoto, S., Hardjono, T.: Architecture board practices in adaptive enterprise architecture with digital platform: a case of global healthcare enterprise. Int. J. Enterp. Inf. Syst. (IJEIS) 14, 1–20 (2018)

    Article  Google Scholar 

  53. Masuda, Y., Viswanathan, M.: Enterprise Architecture for Global Companies in a Digital IT Era: Adaptive Integrated Digital Architecture Framework (AIDAF). Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-1083-6

  54. Wang, Y., Towara, T., Anderl, R.: Topological approach for mapping technologies in reference architectural model Industrie 4.0 (RAMI 4.0). In: Proceedings of the World Congress on Engineering and Computer Science, pp. 25–27 (2017)

    Google Scholar 

  55. Masuda, Y., Shepard, D.S., Yamamoto, S., Toma, T.: Clinical decision-support system with electronic health record: digitization of research in pharma. In: Chen, Y.-W., Zimmermann, A., Howlett, R.J., Jain, L.C. (eds.) Innovation in Medicine and Healthcare Systems, and Multimedia. SIST, vol. 145, pp. 47–57. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-8566-7_5

    Chapter  Google Scholar 

  56. Ross, J.W., Sebastian, I., Beath, C., Mocker, M., Moloney, K., Fonstad, N.: Designing and executing digital strategies. In: ICIS 2016 Proceedings, vol. 17 (2016)

    Google Scholar 

  57. Ross, J.W., Weill, P., Robertson, D.: Enterprise Architecture as Strategy: Creating a Foundation for Business Execution. Harvard Business School Press, Boston (2006)

    Google Scholar 

  58. Gadepally, V., et al.: AI Enabling Technologies: A Survey. arXiv:1905.03592 [cs] (2019)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alfred Zimmermann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zimmermann, A., Schmidt, R., Sandkuhl, K., Masuda, Y., Chehri, A. (2021). Architecting Intelligent Service Ecosystems: Perspectives, Frameworks, and Practices. In: Buchmann, R.A., Polini, A., Johansson, B., Karagiannis, D. (eds) Perspectives in Business Informatics Research. BIR 2021. Lecture Notes in Business Information Processing, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-030-87205-2_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87205-2_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87204-5

  • Online ISBN: 978-3-030-87205-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics