Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach

Fabian Burmeister; Paul Drews; Ingrid Schirmer

Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach

Fabian Burmeister
, Paul Drews
, Ingrid Schirmer

Universität Hamburg

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

10 Zitate (Scopus)

Abstract

The big data digital trend revolutionizes how enterprises conduct their business. Big data transforms how business models are created, services and products are provided, processes are optimized and IT landscapes are designed. Today, enterprise architecture (EA) models are used in many organizations to capture the complex interplay between business, organizational and IT elements in order to support strategy development, transformation and project management. Based on a literature review on big data challenges, this paper outlines necessary extensions for EA models. Following an incremental research approach, exemplary stakeholder concerns and relevant modeling elements are derived from (1) data, (2) process and (3) management challenges. On this basis, an extended EA meta-model for big data is developed.

Originalsprache	Englisch
Titel	Americas Conference on Information Systems 2018 : Digital Disruption, AMCIS 2018
Seitenumfang	10
Herausgeber (Verlag)	The Association for Information Systems (AIS)
Erscheinungsdatum	08.2018
ISBN (Print)	978-0-9966831-6-6
Publikationsstatus	Erschienen - 08.2018
Veranstaltung	24th Americas Conference on Information Systems - AMCIS 2018: Digital Disruption - New Orleans, Louisiana, USA, New Orleans, USA / Vereinigte Staaten Dauer: 16.08.2018 → 18.08.2018 Konferenznummer: 24 https://amcis2018.aisconferences.org/ http://None

Fachgebiete und Schlagwörter

Wirtschaftsinformatik

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https://aisel.aisnet.org/amcis2018/Enterprise/Presentations/2/

24th Americas Conference on Information Systems - AMCIS 2018
Drews, P. (Organisator*in)
17.08.2018
Aktivität: Wissenschaftliche und künstlerische Veranstaltungen › Konferenzen › Forschung

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Burmeister, F., Drews, P., & Schirmer, I. (2018). Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach. in Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018 (Proceedings of the Americas Conference on Information Systems (AMCIS); Band 2018). The Association for Information Systems (AIS). https://aisel.aisnet.org/amcis2018/Enterprise/Presentations/2/

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abstract = "The big data digital trend revolutionizes how enterprises conduct their business. Big data transforms how business models are created, services and products are provided, processes are optimized and IT landscapes are designed. Today, enterprise architecture (EA) models are used in many organizations to capture the complex interplay between business, organizational and IT elements in order to support strategy development, transformation and project management. Based on a literature review on big data challenges, this paper outlines necessary extensions for EA models. Following an incremental research approach, exemplary stakeholder concerns and relevant modeling elements are derived from (1) data, (2) process and (3) management challenges. On this basis, an extended EA meta-model for big data is developed.",

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author = "Fabian Burmeister and Paul Drews and Ingrid Schirmer",

year = "2018",

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isbn = "978-0-9966831-6-6",

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url = "https://amcis2018.aisconferences.org/, http://None",

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Burmeister, F, Drews, P & Schirmer, I 2018, Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach. in Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. Proceedings of the Americas Conference on Information Systems (AMCIS), Bd. 2018, The Association for Information Systems (AIS), 24th Americas Conference on Information Systems - AMCIS 2018, New Orleans, Louisiana, USA / Vereinigte Staaten, 16.08.18. <https://aisel.aisnet.org/amcis2018/Enterprise/Presentations/2/>

Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach. / Burmeister, Fabian; Drews, Paul; Schirmer, Ingrid.
Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018. The Association for Information Systems (AIS), 2018. (Proceedings of the Americas Conference on Information Systems (AMCIS); Band 2018).

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

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T1 - Towards an Extended Enterprise Architecture Meta-Model for Big Data

T2 - 24th Americas Conference on Information Systems - AMCIS 2018

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AU - Drews, Paul

AU - Schirmer, Ingrid

N1 - Conference code: 24

PY - 2018/8

Y1 - 2018/8

N2 - The big data digital trend revolutionizes how enterprises conduct their business. Big data transforms how business models are created, services and products are provided, processes are optimized and IT landscapes are designed. Today, enterprise architecture (EA) models are used in many organizations to capture the complex interplay between business, organizational and IT elements in order to support strategy development, transformation and project management. Based on a literature review on big data challenges, this paper outlines necessary extensions for EA models. Following an incremental research approach, exemplary stakeholder concerns and relevant modeling elements are derived from (1) data, (2) process and (3) management challenges. On this basis, an extended EA meta-model for big data is developed.

AB - The big data digital trend revolutionizes how enterprises conduct their business. Big data transforms how business models are created, services and products are provided, processes are optimized and IT landscapes are designed. Today, enterprise architecture (EA) models are used in many organizations to capture the complex interplay between business, organizational and IT elements in order to support strategy development, transformation and project management. Based on a literature review on big data challenges, this paper outlines necessary extensions for EA models. Following an incremental research approach, exemplary stakeholder concerns and relevant modeling elements are derived from (1) data, (2) process and (3) management challenges. On this basis, an extended EA meta-model for big data is developed.

KW - Business informatics

KW - Big data

KW - Challenges

KW - Concerns

KW - Enterprise architecture

KW - Meta-model

UR - https://www.scopus.com/pages/publications/85054257324

M3 - Article in conference proceedings

SN - 978-0-9966831-6-6

T3 - Proceedings of the Americas Conference on Information Systems (AMCIS)

BT - Americas Conference on Information Systems 2018

PB - The Association for Information Systems (AIS)

Y2 - 16 August 2018 through 18 August 2018

ER -

Towards an Extended Enterprise Architecture Meta-Model for Big Data: A Literature-based Approach

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24th Americas Conference on Information Systems - AMCIS 2018

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