Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles

Marco Nardello; Charles Møller; John Gøtze

Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles

Marco Nardello, Charles Møller, John Gøtze

Business IT

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

The next 3 years will be more important than the last 50 due to the digital transformation across industries. Enterprise Architecture (EA), the discipline that should lead enterprise responses to disruptive forces, is far from ready to drive the next wave of change. The state of the art in the discipline is not clear and the understanding among researchers and practitioners is not aligned. To address these problems, we developed a topic model to help structure the field and enable EA to evolve coherently. In this preliminary study, we present the 360 identified topics in EA literature and their evolution over time. Our study supports and combines the findings from previous research and provides both a deeper analysis and more detailed findings.

Originalsprog	Engelsk
Titel	Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018)
Antal sider	9
Vol/bind	2
Forlag	SCITEPRESS Digital Library
Publikationsdato	maj 2018
Sider	640-648
ISBN (Elektronisk)	978-989-758-298-1
Status	Udgivet - maj 2018
Begivenhed	International Conference on Enterprise Information Systems - Hotel Vila Galé Santa Cruz, Funchal, Portugal Varighed: 21 mar. 2018 → 24 mar. 2018 Konferencens nummer: 20 http://www.iceis.org/?y=2018

Konference

Konference	International Conference on Enterprise Information Systems
Nummer	20
Lokation	Hotel Vila Galé Santa Cruz
Land/Område	Portugal
By	Funchal
Periode	21/03/2018 → 24/03/2018
Internetadresse	http://www.iceis.org/?y=2018

Adgang til dokumentet

ICEIS2018Accepteret manuskript, 465 KB

Citationsformater

@inproceedings{45bc1e65aa5f4a65ba4481c969457852,

title = "Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles",

abstract = "The next 3 years will be more important than the last 50 due to the digital transformation across industries. Enterprise Architecture (EA), the discipline that should lead enterprise responses to disruptive forces, is far from ready to drive the next wave of change. The state of the art in the discipline is not clear and the understanding among researchers and practitioners is not aligned. To address these problems, we developed a topic model to help structure the field and enable EA to evolve coherently. In this preliminary study, we present the 360 identified topics in EA literature and their evolution over time. Our study supports and combines the findings from previous research and provides both a deeper analysis and more detailed findings.",

keywords = "Enterprise Architecture, Topic Modelling, Content Analysis, Research Theme, Future Research, Machine learning, Latent Dirichlet Allocation",

author = "Marco Nardello and Charles M{\o}ller and John G{\o}tze",

year = "2018",

month = may,

language = "English",

volume = "2",

pages = "640--648",

booktitle = "Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018)",

publisher = "SCITEPRESS Digital Library",

note = "International Conference on Enterprise Information Systems, ICEIS 2018 ; Conference date: 21-03-2018 Through 24-03-2018",

url = "http://www.iceis.org/?y=2018",

}

Nardello, M, Møller, C & Gøtze, J 2018, Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles. i Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018). bind 2, SCITEPRESS Digital Library, s. 640-648, International Conference on Enterprise Information Systems, Funchal, Portugal, 21/03/2018.

Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles. / Nardello, Marco; Møller, Charles; Gøtze, John.
Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018). Bind 2 SCITEPRESS Digital Library, 2018. s. 640-648.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Understanding Enterprise Architecture with Topic Modeling

T2 - International Conference on Enterprise Information Systems

AU - Nardello, Marco

AU - Møller, Charles

AU - Gøtze, John

N1 - Conference code: 20

PY - 2018/5

Y1 - 2018/5

N2 - The next 3 years will be more important than the last 50 due to the digital transformation across industries. Enterprise Architecture (EA), the discipline that should lead enterprise responses to disruptive forces, is far from ready to drive the next wave of change. The state of the art in the discipline is not clear and the understanding among researchers and practitioners is not aligned. To address these problems, we developed a topic model to help structure the field and enable EA to evolve coherently. In this preliminary study, we present the 360 identified topics in EA literature and their evolution over time. Our study supports and combines the findings from previous research and provides both a deeper analysis and more detailed findings.

AB - The next 3 years will be more important than the last 50 due to the digital transformation across industries. Enterprise Architecture (EA), the discipline that should lead enterprise responses to disruptive forces, is far from ready to drive the next wave of change. The state of the art in the discipline is not clear and the understanding among researchers and practitioners is not aligned. To address these problems, we developed a topic model to help structure the field and enable EA to evolve coherently. In this preliminary study, we present the 360 identified topics in EA literature and their evolution over time. Our study supports and combines the findings from previous research and provides both a deeper analysis and more detailed findings.

KW - Enterprise Architecture

KW - Topic Modelling

KW - Content Analysis

KW - Research Theme

KW - Future Research

KW - Machine learning

KW - Latent Dirichlet Allocation

UR - http://www.scitepress.org/PublicationsDetail.aspx?ID=0j9IlPyJCPQ=&t=1

M3 - Article in proceedings

VL - 2

SP - 640

EP - 648

BT - Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018)

PB - SCITEPRESS Digital Library

Y2 - 21 March 2018 through 24 March 2018

ER -

Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles

Abstract

Konference

Adgang til dokumentet

Fingeraftryk

Citationsformater