Modeling Products and Services with Enterprise Models

Sandkuhl, Kurt; Stirna, Jānis; Holz, Felix

doi:10.1007/978-3-030-63479-7_4

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…They proposed a framework for visualizing value and related concepts with ArchiMate. Sandkuhl et al (2020) [59] focused on visualization of service or product value using the 4EM method. Furthermore, Sandkuhl et al (2014) [60] presented and compared various enterprise modelling focus areas (for example, active knowledge modeling, C3S3P, 4EM, ArchiMate, ARIS, DEMO, MEMO, and OMI) to present the visualization of concepts, such as products, services, and resources.…”

Section: Modelling Business Strategymentioning

confidence: 99%

Exploring Business Strategy Modelling with ArchiMate: A Case Study Approach

2022

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Enterprise architecture (EA) is a high-level abstraction of a business’ levels that aids in organizing planning and making better decisions. Researchers have concluded that the scope of EA is not focused only on technology planning but that the lack of business strategy and processes is the most important challenge of EA frameworks. The purpose of this article is to visualize the business strategy of a company using ArchiMate. Having a better understanding of how the concepts of strategic planning are used in businesses, we hope to improve their modelling with ArchiMate. This article adds to the existing literature by evaluating existing EA modelling languages and their skillfulness in model strategy. Furthermore, this article contributes to the identification of challenges in modelling and investigation of the ease of the use of language in the field of strategic planning. Furthermore, this article provides an approach to practitioners and EA architects who are attempting to develop efficient EA modelling projects and solve business complexity problems.

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Section: Modelling Business Strategymentioning

confidence: 99%

Exploring Business Strategy Modelling with ArchiMate: A Case Study Approach

2022

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“…The researchers in the green cluster published the most articles on digital platform architecture (Masuda et al, 2021), risk management (Masuda et al, 2017), and e-health management (Masuda et al, 2018;Yamamoto, 2021). In the yellow cluster, publications concentrated on enterprise modeling, specifically in product and service modeling (Sandkuhl et al, 2020). In the sky-blue cluster, the most popular publication topic was digital innovation and transformation, including its application in public sectors (Wichmann et al, 2021) and zoological institutions (Wichmann et al, 2020;Wißotzki & Wichmann, 2019).…”

Section: Coauthorship Statusmentioning

confidence: 99%

Digital Transformation

Lin

Mai

2022

Journal of Organizational and End User Computing

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This paper aims to provide an overview of academic research within the field of digital transformation. The authors conduct a bibliometric analysis using VOSviewer, Harzing’s Publish or Perish, and SciMAT to evaluate and visualize the bibliographic materials. The analysis focuses on journals, papers, researchers, institutions, and countries, using bibliometric indicators such as productivity, citations, H-index values, and TLS values. Graphical analyses illustrate co-authorship, co-occurrence of keywords, evolution of research topics, and network of influential researchers within digital transformation. The results complement each other and show that Germany, the United States, and the Russian Federation are the most influential countries in digital transformation research. Additionally, the results suggest that collaboration within this field is still weak, and many research topics are just beginning to emerge. This research provides a summary of most of the key aspects in digital transformation research and helps lay groundwork to shape the future of this growing field.

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