Enterprise Architecture: A Social Network Perspective

Dreyfus, David; Iyer, B. R.

doi:10.1109/hicss.2006.155

Cited by 18 publications

(25 citation statements)

References 46 publications

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“…The rapid growth of the social media marketplace promises to provide many opportunities to reduce information management costs, to improve the efficiency of specific operations, and to increase the quantity and richness of customer interactions [5,26].…”

Section: Next-generation Enterprise Collaboration Platformmentioning

confidence: 99%

“…Current enterprise collaboration solutions, including standalone wikis, social software suites, and enterprise collaboration software, have serious limitations. In general, Web 2.0 technologies contribute to improved collaboration within enterprises, but they need to be tied together via a single interface to reach their full potential [4,7,25,26].…”

Section: Next-generation Enterprise Collaboration Platformmentioning

confidence: 99%

“…must be brought together under a single, efficient interface and integrated with existing enterprise systems [8,26].…”

Section: B Integrated Business Platforms To Enable Intra-andmentioning

confidence: 99%

“…It renders information from various legacy applications normalizing data and flattening data architectures thus simplifying everyone's access to information as David Wienberger so eloquently explains in his recent work, "Everything is Miscellaneous" [16,26]. It is a Meta-Layer because its purpose is to expose information to end users as and when they need it.…”

Section: A Social Collaboration Layer In New Enterprisementioning

confidence: 99%

“…SyndicationOriented Architecture is a blueprint for managing all of the "soft" data that flows from applications to users and between users as well. In this light, syndication standards can enable "information agility" for all of the knowledge assets flowing inside and outside an enterprise [19,20,23,26,28].…”

Section: Collaborationmentioning

confidence: 99%

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Enterprise 2.0 Integrated Communication and Collaboration Platform: A Conceptual Viewpoint

Polaschek

Zeppelzauer

Kryvinska

et al. 2012

2012 26th International Conference on Advanced Information Networking and Applications Workshops

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Abstract-The intensification of collaborative networking in the enterprises, wide adoption of mobile applications and other progressive IT technologies by businesses, influence enterprise development. Thus, we focus in this paper onto the evaluating the role and place of communication&collaborative platforms in new generation of enterprise management paradigm dependent onto the social collaboration tools. Explicitly, we consider here integration challenges of main collaboration strategies. Besides, we analyze the role of different advanced IT technologies in the enterprise social collaboration platform. Next, we define impact factors of social networking onto corporate world including placement of a social collaboration layer in new enterprise architecture. And finally, we conclude with presentation of our findings along with further research strategies discussion.

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Section: Next-generation Enterprise Collaboration Platformmentioning

confidence: 99%

Section: Next-generation Enterprise Collaboration Platformmentioning

confidence: 99%

“…must be brought together under a single, efficient interface and integrated with existing enterprise systems [8,26].…”

Section: B Integrated Business Platforms To Enable Intra-andmentioning

confidence: 99%

Section: A Social Collaboration Layer In New Enterprisementioning

confidence: 99%

Section: Collaborationmentioning

confidence: 99%

See 3 more Smart Citations

Enterprise 2.0 Integrated Communication and Collaboration Platform: A Conceptual Viewpoint

Polaschek

Zeppelzauer

Kryvinska

et al. 2012

2012 26th International Conference on Advanced Information Networking and Applications Workshops

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A network perspective on assessing system architectures: Foundations and challenges

Potts

Sartor

Johnson

et al. 2019

Systems Engineering

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Organizations are increasingly faced with the challenge of architecting complex systems that must operate within a System of Systems context. While network science has offered usefully clear insights into product and system architectures, we seek to extend these approaches to evaluate enterprise system architectures. Here, we explore the application of graph‐theoretic methods to the analysis of two real‐world enterprise architectures (a military communications system and a search and rescue system) and to assess the relative importance of different architecture components. For both architectures, different topological measures of component significance identify differing network vertices as important. From this, we identify several significant challenges a system architect needs to be cognisant of when employing graph‐theoretic approaches to evaluate architectures; finding suitable abstractions of heterogeneous architectural elements and distinguishing between network‐structural properties and system‐functional properties. These challenges are summarized as five guiding principles for utilizing network science concepts for enterprise architecture evaluation.

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Using Machine Learning Techniques for Evaluating the Similarity of Enterprise Architecture Models

Borozanov

Hacks

Silva

2019

Lecture Notes in Computer Science

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Enterprises Architectures (EA) are facilitated to coordinate enterprise's business visions and strategies successfully and effectively. The practitioners of EA (architects) communicate the architecture to other stakeholders via architecture models. We investigate the scenario where accepted architecture models are stored in a repository. We identified the problem of unnecessary repository expansion by adding model components with similar properties or behavior as already existing repository components. The proposed solution aims to find those similar components and to notify the architect about their existence. We present two approaches for defining and combining similarities between EA model components. The similarity measures are calculated upon the properties of the components and on the context of their usage. We further investigate the behavior of similar architecture models and search for associations in order to obtain components that might be of interest. At the end, we provide a prototype tool for both generating requests and obtaining a result.

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Enterprise Architecture: A Social Network Perspective

Cited by 18 publications

References 46 publications

Enterprise 2.0 Integrated Communication and Collaboration Platform: A Conceptual Viewpoint

Enterprise 2.0 Integrated Communication and Collaboration Platform: A Conceptual Viewpoint

A network perspective on assessing system architectures: Foundations and challenges

Using Machine Learning Techniques for Evaluating the Similarity of Enterprise Architecture Models

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