Trends in Enterprise Architecture Research and Practice-Driven Research on Enterprise Transformation

Aier, Stephan; Ekstedt, Mathias; Matthes, Florian; Proper, Erik; Sanz, Jorge L. C.

doi:10.1007/978-3-642-34163-2

Cited by 30 publications

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“…The challenge here is to find ways in which models can be used to mitigate between the fragmenting forces [20]. This specifically includes the traditional Business-IT alignment challenge, but, as shown in Wagter [111] and Wagter et al [110], it is not simply a Business vs. IT issue, and involves differing social forces that spawn social complexity.…”

Section: Social Complexitymentioning

confidence: 99%

Model-enabled design and engineering of organisations and their enterprises

Magalhães¹,

Proper

2017

Organ Des Enterp Eng

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This editorial is concerned with the need for an integrated approach to the design and engineering of organisations and their enterprises. Organisational Design originates from the organisational sciences, while the notion of Enterprise Engineering results from the engineering sciences (most notably information systems engineering, business (process) engineering, business process optimisation, and enterprise architecture). The Organisational Design and Enterprise Engineering journal (OD&EE) is built on the premise that there should not be an "either-or" relation between Organisational Design and Enterprise Engineering, but rather an integrated approach that brings out the best of the two. A driver for the creation of the journal was the observation that the "either-or" mindset was (and still is) a major obstacle to the development of organisational thinking, and that this artificial divide must be abolished. In achieving more integration between Organisational Design and Enterprise Engineering, we suggest to take a model-enabled approach, where models should act as boundary objects between the social processes involved in organisational design processes, This editorial paper is discussed in comments available at doi:10. 1007/s41251-016-0001-0, doi:10.1007/s41251-016-0002-z, doi:10. 1007/s41251-016-0004-x, doi:10.1007/s41251-016-0006-8, doi:10. 1007/s41251-016-0007-7.

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Section: Social Complexitymentioning

confidence: 99%

Model-enabled design and engineering of organisations and their enterprises

Magalhães¹,

Proper

2017

Organ Des Enterp Eng

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“…portfolio analysis, domain analysis, change impact analysis, landscape management, blueprint management) (Lankhorst, 2013;Ahlemann et al, 2012;Sunkle et al, 2013;Van der Linden et al, 2011;Simon and Fischbach, 2013) and 3) supportive concepts for architecture overview (e.g. EA model entity relationships, EA measurement items, architecture principles or architecture patterns) (Lankhorst, 2013;Aier et al, 2012;Hoogervorst, 2009).…”

Section: 3 O V E R V I E W O F O R G a N I S A T I O N A L M O D Ementioning

confidence: 99%

On exposing strategic and structural mismatches between business and information systems: misalignment symptom detection based on enterprise architecture model analysis

Őri¹

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One of the most important issues on information systems (IS) research is the need to align business with information systems and information technology (IT). Since information systems facilitate the success of business strategies, the importance of business-IT (or strategic) alignment is unquestionable. While organisations address alignment achievement, they are continually suffering from misalignments. These difficulties (the misalignments) encumber the achievement of alignment and lead us to the phenomenon of misalignment. This Ph.D. dissertation deals with the concept of misalignment, with special attention on enterprise architecture (EA)-based analytical potential. In the following study, the problem of business-IT alignment will be translated into the aspects and concepts of enterprise architecture. The main purpose of the proposed research is to analyse strategic misalignment between the business dimension and the information systems dimension. In this Ph.D. dissertation, an analytical solution will be built to approach the topic of strategic alignment from an EA-based perspective. The study aims to accomplish an EA-based, systematic analysis of mismatches between business and information systems. The operation, the correctness, as well as the relevance of the framework will be validated via a case study. The contribution of the proposed study lies in connecting typical misalignment symptoms to relevant EA analysis types along traditional alignment perspectives. The significance of the proposed research is the clear and accurate compound of research methods and implementation instruments to approach EA-based misalignment symptom detection. The results of the proposed research will contribute to alignment assessment by expanding the ways of addressing alignment problems. The proposed research framework has the potential to extend our understanding on assessing the state of misalignment in a complex EA model structure.

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Next-Generation Enterprise Modeling

Gils,

Proper

2023

Digital Enterprises

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Trends in Enterprise Architecture Research and Practice-Driven Research on Enterprise Transformation

Cited by 30 publications

References 0 publications

Model-enabled design and engineering of organisations and their enterprises

Model-enabled design and engineering of organisations and their enterprises

On exposing strategic and structural mismatches between business and information systems: misalignment symptom detection based on enterprise architecture model analysis

Next-Generation Enterprise Modeling

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