Advertisement

Accelerating the Digital Transformation of Business and Society Through Composite Business Ecosystems

  • Shridhar ChoudharyEmail author
  • Ian Thomas
  • Mehdi Bahrami
  • Motoshi Sumioka
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

We believe that the increasing availability of web-connected business and technology services is rapidly leading us toward an era of ‘composable businesses’ in which people will be able to create new value by simply linking together existing assets and resources. Given the current economic disruption caused by the rapidly decreasing lifespans of traditional companies, a paradigm shift on this scale could have profound consequences for the way in which economies and societies function. We therefore believe it is important to ensure that this new environment is open, supports mass participation and enables everyone to contribute towards - and share in the benefits of – new economic networks. In this paper, we therefore propose a set of technologies and practices to empower distributed groups of people to co-create, implement and operate new web-scale business models as “composite business ecosystems”.

Keywords

Digital transformation Ecosystems Business modelling 

References

  1. 1.
    Klerk, E., et al.: Disruptive forces in Europe: a primer credit suisse research note (2017)Google Scholar
  2. 2.
    Anthony, S., et al.: Corporate longevity forecast: create destruction is accelerating (2018). https://www.innosight.com/insight/creative-destruction/. Accessed 10 Dec 2018
  3. 3.
    Constellation Research: Sneak Peeks from Constellation’s Futurist Framework and 2014 Outlook on Digital Disruption. https://www.constellationr.com/blog-news/research-summary-sneak-peeks-constellations-futurist-framework-and-2014-outlook-digital. Accessed 10 Dec 2018
  4. 4.
    Ismail, S.: Exponential Organizations: Why New Organizations Are Ten Times Better, Faster, and Cheaper than Yours (and What to do About it). Diversion Books, New York (2014)Google Scholar
  5. 5.
    Wired: This is how Netflix’s top-secret recommendation system works. https://www.wired.co.uk/article/how-do-netflixs-algorithms-work-machine-learning-helps-to-predict-what-viewers-will-like. Accessed 08 Dec 2018
  6. 6.
    Hoffman, A.: Amazon delivers a secret recipe for agility, adaptability, and dominance. https://www.inc.com/quora/amazon-delivers-a-secret-recipe-for-agility-adaptability-dominance.html. Accessed 06 Dec 2018
  7. 7.
    Ramljak, D.: Business models and value oriented service design elements in ecosystem architecture. In: 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1–6. Split (2017)Google Scholar
  8. 8.
    Allweyer, T.: BPMN 2.0: Introduction to the Standard for Business Process Modeling. Books on Demand, Norderstedt (2016)Google Scholar
  9. 9.
    Statista: Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 (in billions). https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/. Accessed 09 Dec 2018
  10. 10.
    Linux Foundation: The open API specification. https://github.com/OAI/OpenAPI-Specification. Accessed 05 Dec 2018
  11. 11.
    Shelby, Z., et al.: RFC 7252: Constrained application protocol (CoAP). IETF request for comments (2014)Google Scholar
  12. 12.
    Bahrami, M., Park, J., Liu, L., Chen, W.: API learning: applying machine learning to manage the rise of API economy. In: Companion Proceedings of the Web Conference, Geneva, pp. 151–154 (2018)Google Scholar
  13. 13.
    Wittern, E., Muthusamy, V., Laredo, J., Vukovic, M., Slominski, A., Rajagopalan, S., Jamjoom, H., Natarajan, A.: API harmony: graph-based search and selection of apis in the cloud. IBM J. Res. Dev. 60(2–3), 12:1–12:11 (2016)CrossRefGoogle Scholar
  14. 14.
    Li, D., Salonidis, T., Desai, N.V., Chuah, M.C.: DeepCham: collaborative edge-mediated adaptive deep learning for mobile object recognition. In: IEEE/ACM Symposium on Edge Computing (SEC), Washington, D.C., pp. 64–76 (2016)Google Scholar
  15. 15.
    Li, D., Wang, X., Kong, D.: DeepRebirth: accelerating deep neural network execution on mobile devices. In: 32nd AAAI Conference on Artificial Intelligence, New Orleans, pp. 2322–2330 (2018)Google Scholar
  16. 16.
    Code.org: 1,000,000 more jobs than students by 2020. https://web.archive.org/web/20180122182035/https://code.org/images/cs-stats/more-jobs-than-students.png. Accessed 07 Dec 2018
  17. 17.
    Lewis, J., Fowler, M.: Microservices resource guide. https://www.martinfowler.com/microservices/. Accessed 07 Dec 2018
  18. 18.
    RunMyProcess. https://www.runmyprocess.com. Accessed 10 Dec 2018
  19. 19.
    Gigaom: The biggest thing amazon got right: the platform. https://gigaom.com/2011/10/12/419-the-biggest-thing-amazon-got-right-the-platform. Accessed 11 Dec 2018
  20. 20.
    Ngnix: Adopting microservices at netflix: lessons for architectural design. https://www.nginx.com/blog/microservices-at-netflix-architectural-best-practices/
  21. 21.
    InfoQ: From a monolith to microservices + REST: the evolution of linkedin’s service architecture. https://www.infoq.com/presentations/linkedin-microservices-urn. Accessed 11 Dec 2018
  22. 22.
    Freitag, A., Matthes, F., Schulz, C., Nowobilska, A.: A method for business capability dependency analysis. In: International Conference on IT-Enabled Innovation in Enterprise (ICITIE), Sofia (2011)Google Scholar
  23. 23.
    Bondel, G., Faber, A., Matthes, F.: Reporting from the implementation of a business capability map as business-IT alignment tool. In: 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), Stockholm, pp. 125–134 (2018)Google Scholar
  24. 24.
    The Open Group: The TOGAF standard, version 9.2. (2018)Google Scholar
  25. 25.
    Zimmermann, A., Schmidt, R., Sandkuhl, K., Jugel, D., Bogner, J., Möhring, M.: Evolution of enterprise architecture for digital transformation. In: 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), Stockholm, pp. 87–96 (2018)Google Scholar
  26. 26.
    Wardley, S.: Anticipating the future: an introduction to value chain mapping. http://www.youtube.com/watch?v=NnFeIt-uaEc. Accessed 08 Dec 2018
  27. 27.
    Wardley, S.: Situation normal, everything must change. http://www.youtube.com/watch?v=Ty6pOVEc3bA. Accessed 08 Dec 2018
  28. 28.
    Thomas, I., Gaide, S., Hug, M.: Composite business ecosystems for the web of everything: using cloud platforms for web convergence. In: 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Taichung, pp. 535–540 (2013)Google Scholar
  29. 29.
    Programmable Web. https://www.programmableweb.com/. Accessed 10 Dec 2018
  30. 30.
    APIs.guru. https://apis.guru/. Accessed 10 Dec 2018
  31. 31.
    API Harmony. https://apiharmony-open.mybluemix.net/public. Accessed 10 Dec 2018

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Shridhar Choudhary
    • 1
    Email author
  • Ian Thomas
    • 2
  • Mehdi Bahrami
    • 3
  • Motoshi Sumioka
    • 1
  1. 1.Fujitsu Laboratories Ltd.KawasakiJapan
  2. 2.Fujitsu RunMyProcessParisFrance
  3. 3.Fujitsu Laboratories of America, Inc.SunnyvaleUSA

Personalised recommendations