![](bg7.png)
speed within the same deployment cycle. Also, the
traditional systems of record systems must move into
the fast speed architecture. It must be possible to
quickly adapt customer and product data structures to
enable new digital business models.
6 CONCLUSION
Based on our research question we have first set the
context of digital transformation for evolving
software systems to support digital architectures for
new designed digital services and products. We have
leveraged an adaptive architecture integration
approach for open-world integrations of globally
accessed systems and services with their local
architecture models, to be able to support digital
transformation mechanisms for flexible software and
systems compositions.
We contribute to the literature in different ways.
Looking to our results, we have identified the need
for a bottom-up integration of a huge amount of
dynamically growing micro-granular systems and
services, like mobile systems, Microservices and the
Internet of Things. To integrate micro-granular
architecture models from an open-world we are
extending more traditional enterprise architecture
reference models with state of art elements for agile
architectural engineering to support the digitization of
products, services, and processes. Secondly, we have
exemplarily focused on Internet of Things and
Microservices architectures, which are much
influencing the current digital enterprise architecture,
by changing the viewpoint for modelling complex
systems in an open-world. This is a fundamental
extension of our seminal work on architectural
reference models to be able to openly integrate
through a continuously bottom-up approach a huge
amount of micro-granular systems with own and
heterogeneous local architectures. We have thirdly
investigated current and next elements of a service-
oriented enterprise architecture to point to main
influence factors, challenges and research areas for
the evolution of enterprise architecture and the
evolving discipline of service computing.
Some limitations (e.g. use and adoption in
different sectors, or the IoT integration technologies)
must be considered. There is a need to integrate more
analytics-based decisions support and context-data
driven architectural decision-making. Limitations
can be currently found, while integrating Internet
of Things architecture in the field of multi-level
evaluations of our approach, as well as in
domain-specific adoptions. Furthermore, empirical
evaluations via case study research would be a good
starting point for future research.
We are currently working on extended decision
support mechanisms for an architectural cockpit for
adaptive digital enterprise architectures and related
collaborative processes. Future work will extend
mechanisms for adaptation and open integration.
REFERENCES
Porter, M. E., Heppelmann, J. E., 2014. How Smart
Connected Products are Transforming Competition.
November, 1-23, Harvard Business Review.
Schmidt, R., Zimmermann, A., Möhring, M., Nurcan, S.,
Keller, B., Bär, F., 2016. Digitization–Perspectives for
Conceptualization. In Advances in Service-Oriented
and Cloud Computing, 263-275, Springer International
Publishing.
Zimmermann, A., Schmidt, R., Sandkuhl, K., Jugel, D.,
Bogner, J., & Möhring, M., 2018. Decision-Controlled
Digitization Architecture for Internet of Things and
Microservices. In Czarnowski, I., Howlett, R., Jain,
L.C. (Eds.) Intelligent Decision Technologies 2017,
Part II, Springer International Publishing, 2018.
Uckelmann, D., Harrison, M., Michahelles, F., 2011.
Architecting the Internet of Things. Springer.
Schmidt, R., Möhring, M., Härting, R.-C., Reichstein, C.,
Neumaier, P., Jozinovic, P., 2015. Industry 4.0 -
Potentials for Creating Smart Products: Empirical
Research Results. 18th Conference on Business
Information Systems, Poznan 2015, Lecture Notes in
Business Information Processing, Springer.
Lankhorst, M. et al., 2017. Enterprise Architecture at
Work: Modelling, Communication and Analysis.
Springer.
Weill, P., Woerner, S., 2015. Thriving in an Increasingly
Digital Ecosystem. MIT Sloan Management Review.
Westerman, G., Bonnet, D. McAfee, A., 2014. Leading
Digital. Harvard Business Review Press.
Brynjolfsson, E., McAfee, A., 2014. The Second Machine
Age. W. W. Norton.
Möhring, M.; Keller, B.; Schmidt, R. 2018. Using Smart
Edge Devices to Integrate Consumers into Digitized
Processes: The Case of Amazon Dash-Button. BPM,
Workshops, LNBIP.
Bogner, J., Zimmermann, A., 2016. Towards Integrating
Microservices with Adaptable Enterprise Architecture.
In: Dijkman, R., Pires, L.F., Rinderle-Ma, S.: IEEE –
EDOC Conference Workshops EDOCW 2016 Vienna,
158–163, IEEE.
El-Sheikh, E., Zimmermann, A., Jain, L. (Eds.), 2016.
Emerging Trends in the Evolution of Service-Oriented
and Enterprise Architectures. Springer.
Warren, A., 2016. Amazon Echo: The Ultimate Amazon
Echo User Guide 2016 Become An Alexa and Echo
Expert Now! USA: CreateSpace Independent
Publishing Platform.
Software Evolution for Digital Transformation
211