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Leveraging Enterprise Architecture Artifacts for Digital Transformation: Some Preliminary Findings

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New Sustainable Horizons in Artificial Intelligence and Digital Solutions (I3E 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14316))

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Abstract

The global wave of Digital Transformation (DT) requires a large number of organizations to effectively respond to relevant challenges, plan and manage changes by aligning organizational elements. Enterprise Architecture (EA), which has a history of about 50 years, is considered to be a good alignment approach. But its application is mainly limited to developed countries and large enterprises, partly due to its high threshold. To benefit more organizations that are not yet familiar with EA, this study suggests EA beginners to firstly attempt to benefit from EA Artifacts (EAAs) without knowing/using EA Frameworks (EAFs). We conducted a survey with students in a Chinese university who participated in an EA course to verify the significance and feasibility of this proposal. The results showed that EA beginners recognized the value of EAAs and were willing to learn relevant knowledge and skills such as modeling languages and tools. It was also found that EAFs brought considerable complexity and its necessity was not directly perceived by participants. It should be noted that for EA beginners, even if they only attempt to benefit from EAAs, certain knowledge and practical skills are required. Some practical tips such as providing coaching style support are suggested accordingly.

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Authors and Affiliations

  1. Anhi University, No. 111 Jiulong Road, Hefei, People’s Republic of China

    Hong Guo

  2. School of Business, Örebro University, Örebro, Sweden

    Shang Gao

Authors
  1. Hong Guo
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  2. Shang Gao
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Corresponding author

Correspondence to Hong Guo .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

  2. Positivo University, Curitiba, Paraná, Brazil

    Luiz Pinheiro

  3. Delft University of Technology, Delft, The Netherlands

    Ricardo Matheus

  4. Positivo University, Curitiba, Paraná, Brazil

    Fernanda Frankenberger

  5. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  6. University of Agder, Kristiansand, Norway

    Ilias O. Pappas

  7. University of Turku, Turku, Finland

    Matti Mäntymäki

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Guo, H., Gao, S. (2023). Leveraging Enterprise Architecture Artifacts for Digital Transformation: Some Preliminary Findings. In: Janssen, M., et al. New Sustainable Horizons in Artificial Intelligence and Digital Solutions. I3E 2023. Lecture Notes in Computer Science, vol 14316. Springer, Cham. https://doi.org/10.1007/978-3-031-50040-4_22

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  • DOI: https://doi.org/10.1007/978-3-031-50040-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50039-8

  • Online ISBN: 978-3-031-50040-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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