Abstract
Nowadays, enterprises are increasingly looking for business and technological strategies which offer huge market opportunities and numerous competitive advantages. Such strategies cause that the enterprises undergo continuous changes, especially regarding their Business Processes (BPs) and integration between them and Information and Communication Technologies (ICT). The integration between new business models and technological changes require to address the complexity of aligning the Enterprise Architecture (EA). The reason being that if any EA component is not prepared to reach such changes, or it is missing, then EA anomalies arise and consequently, leading to misalignment. In this sense, this paper introduces a new EA alignment-oriented process, in which the EA anomalies are identified through symptoms, causes and location; a solution to fix and prevent them is formulated through diagnosis and therapy; and the Business Process (BP) is (re-) modeled and the EA is (re-) designed as a consequence to easier find the EA components where the therapy should be applied, independently of the EA level where the anomalies are found, thus contributing to the EA alignment. The proposal is illustrated by using a case study of a dependents admission BP in an organization belonging to the social-sanitary sector. We assume that the support to that BP could be the result of the coexistence of different technologies such as Legacy Systems and Microservices.
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Acknowledgment
This research work is funded by the Spanish Ministry of Economy and Competitiveness -Agencia Estatal Investigación- with European Regional Development Funds (AEI/FEDER, UE) through the project ref. TIN2016-79484-R.
We wish to extend our sincere thanks to Ms María Dolores González, social-sanitary technician from “Oasis” Cáritas Diocesana Institution, who helped and collaborated with their valuable information, feedback and suggestions.
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Lugmaña-Hidalgo, F., Garrido, J.L. (2020). Implementing a Business/Technology Architecture Alignment-Oriented Process Applied to the Social-Sanitary Sector. In: Hsu, CH., Kallel, S., Lan, KC., Zheng, Z. (eds) Internet of Vehicles. Technologies and Services Toward Smart Cities. IOV 2019. Lecture Notes in Computer Science(), vol 11894. Springer, Cham. https://doi.org/10.1007/978-3-030-38651-1_18
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