Enterprise Architecture Requirements for Digital Transformation Projects in an Automotive Industry

Author(s):  
Izabelle Cristine Hannemann de Freitas ◽  
Eduardo de Freitas Rocha Loures ◽  
Fernando Deschamps ◽  
José Marcelo Almeida Prado Cestari
ITNOW ◽  
2021 ◽  
Vol 63 (2) ◽  
pp. 52-53
Author(s):  
Mivy James

Abstract Mivy James FBCS, Digital Transformation Director at BAE Systems Applied Intelligence, talks to Johanna Hamilton AMBCS about change, enterprise architecture and the long overdue rise of #ImmodestWomen.


2020 ◽  
Vol 1 (2) ◽  
pp. 17-19
Author(s):  
Danil Alekseevich Zyukin

The aim of article. The digital industry (Industry 4.0, the fourth-generation industry) is developing - based on the digital transformation of the production sector. Countries must create a workforce ready for future infrastructure. This requires the cooperation of universities, government and industry, including initiatives aimed at training workers for the transforming productive sector. The pandemic has COVID-19 exacerbated the problem of employment. Methodology: it is necessary to study the problem of employment at the systemic level, with an analysis of the structural complexity and development of digital transformations. This article explores this problem for manufacturing enterprises, in particular the automotive industry. The Results and Conclusions present the results of the analysis and make forecasts.


2021 ◽  
Vol 16 (91) ◽  
pp. 59-68
Author(s):  
Olga V. Stoianova ◽  
◽  
Valeriia D. Moskaleva ◽  

This paper presents a method and a model framework for R&D changes planning in manufacturing enterprises, implementing digital transformation projects. The relevance of development of such method is evident because of growing number of factors, influencing the decision-making process and simultaneously the complexity of such influence estimation increases. Classical changes planning methods in such cases do not ensure required level of estimation objectivity and credibility. The objects of research are industrial enterprises, actively engaged in research, design and engineering. The subject of research are methods and models for R&D process changes planning in context of digital transformation endeavors, being implemented in the companies. The research objective is to develop a R&D process planning method, enabling to account for corporate changes, related to digital transformation processes. The proposed method is based on the analysis of the discrepancies between the actual enterprise architecture and the target one and search for possible solution to rectify these discrepancies. For quantitative estimation of the changes, an integral indicator "stakeholder satisfaction level" is proposed. This indicator is calculated using a set of models (a model framework), those preparation and application sequence is defined by the considered method. The paper describes the concept of the method, the problems, being solved within each stage, tools used and final outcomes. The example of planning R&D changes in manufacturing enterprise illustrates the method in work and provides for better understanding of the concepts, presented in the paper.


Author(s):  
Robert Furda ◽  
Michal Gregus

This article is addressing the specific impediments that appear in the process of healthcare digital transformation. Enterprise architecture provides the framework for investigating the behavioral and active structural aspects that apply to business and application layers. This includes an analysis of, including inherent relationship between, selected scopes such as strategy, business, and education to standard elements such as process, service, and function of an application. The presented classification and assignment of individual impediments indicate to healthcare managers where they may potentially struggle during different stages of digital transformation. Among others, they facilitate strategic planning and managerial decisions during implementation of the emerging information technologies and techniques. In addition, the idea is to contribute to the successful implementation of healthcare digital transformation, thereby delivering business value within healthcare sector, and consequently to a better quality of life.


2022 ◽  
pp. 383-408
Author(s):  
Kerstin Christiane Felser

For decades, the German automotive industry has benefitted from a process of IT-enabled transformation with the ongoing deployment of state-of-the-art IT. Despite the high relevance of IT for innovation and process efficiency, the industry has outsourced up to 80% of the IT budget to external IT providers as IT has generally not been seen as a core competence. In recent years, the phenomenon of digital transformation has emerged, along with the consequent disruptive impacts associated with digital technology deployment. One area of significance in the corporate environment is the current and potential impact of digital transformation on future IT sourcing strategies. Through an analysis of existing literature and a series of in-depth interviews with industry experts, the chapter examines how and why the German automotive industry is reviewing IT sourcing strategies in response to the anticipated implications of digital transformation. A change in the ratio between outsourcing and insourcing has a significant impact on in-house employment and third-party business operations.


2021 ◽  
Vol 162 ◽  
pp. 120343
Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio ◽  
Francisco Valero

Author(s):  
Stefan Sommer ◽  
Heike Proff ◽  
Harald Proff

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