About this journal
Aims and scope
Enterprise Information Systems (EIS) is a world-leading journal focusing on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
Specific topics of interest include, but are not limited to:
- EIS design, applications, implementation, and impact in industrial sectors including manufacturing, service, healthcare, environment, energy and government
- EIS and e-logistics, global e-supply chain management, supplier relationship management (SRM), and customer relationship management (CRM)
- Enterprise Resource Planning (ERP)
- Business intelligence, business process and workflow modelling, analysis, integration, monitoring, and management
- Enterprise modelling and simulation, integration, and enterprise engineering
- Enterprise computing concepts for Internet of Things (IoT), RFID, electronic and mobile commerce, e-finance, e-payment, telecommunications, automotive, aerospace, command and control, defence, healthcare, and government
- Inter-enterprise collaboration and virtual enterprises
- Enterprise architecture design and modelling, cloud computing and Big Data Analytics (BDA), Model-Driven Architecture (MDA), component-oriented architecture, Service-Oriented Architecture (SOA), collaborative development, and co-operative engineering
- Integration of (legacy) enterprise applications and information, integrated systems, e-factories, integrated manufacturing systems, and industrial informatics
- Evolution, Innovation and management of enterprise computing systems
- Realization technologies for enterprise computing, including ontologies and semantic web support, middleware standards and systems, such as CORBA and J2EE, modelling and description languages, such as XML, RDF, OWL, and UML
- Enterprise computing tools and methodologies.
- Principles of data, information and knowledge management models in EIS
- Trust, security and privacy issues in enterprise computing
- Quality assurance and maintenance issues in enterprise computing
- Systems research, systems engineering and IoT strategies for enterprises
EIS therefore encourages original submissions in these and other related areas. The journal will consider original articles, short papers, review papers and technical notes. Responses to articles and correspondence will also be considered at the Editor-in-Chief’s discretion.
Proposals for special issues in cutting-edge areas are encouraged, and should be discussed directly with the Editor-in-Chief.
All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is double anonymized and submission is online via ScholarOne Manuscripts.
Queries regarding submissions can be made by contacting the Editor-in-Chief, whose decision is final.
Journal metrics
Usage
- 126K annual downloads/views
Citation metrics
- 4.4 (2023) Impact Factor
- Q1 Impact Factor Best Quartile
- 4.1 (2023) 5 year IF
- 11.0 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 1.413 (2023) SNIP
- 0.875 (2023) SJR
Speed/acceptance
- 0 days avg. from submission to first decision
- 81 days avg. from submission to first post-review decision
- 13 days avg. from acceptance to online publication
- 7% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
Usage and acceptance rate data above are for the last full calendar year and are updated annually in February. Speed data is updated every six months, based on the prior six months. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics (find out why).
- Usage: the total number of times articles in the journal were viewed by users of Taylor & Francis Online in the previous calendar year, rounded to the nearest thousand.
Citation Metrics
- Impact Factor*: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
- Impact Factor Best Quartile*: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
- 5 Year Impact Factor*: the average number of citations received by articles in the journal within a five-year window.
- CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
- CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
- SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
- SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
Speed/acceptance
- From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months.
- From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
- From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
- Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Editor-in-Chief
Andrew W. H. Ip, Hong Kong Polytechnic University, Hong Kong & University of Saskatchewan, Canada ( email)
Managing Editor
Jack Wu, The Hang Seng University of Hong Kong, Hong Kong ( email)
Founding Editor-in-Chief
Li Da Xu, Old Dominion University, USA
Associate Editors
Sohail S. Chaudhry, Villanova University, USA
Wai Ki Ching, University of Hong Kong, Hong Kong
Vincent Cho, Hong Kong Polytechnic University, Hong Kong
Ricardo Goncalves, Universidade Nova de Lisboa, Portugal
Chi-Guhn Lee, University of Toronto, Canada
Ling Li, Old Dominion University, USA
John Mo, RMIT University, Australia
Ngoc Thanh Nguyen, Wroclaw University of Science and Technology, Poland
Daniel E. O'Leary, University of Southern California, USA
Hervé Panetto, CRAN, University of Lorraine, CNRS, France
Keith Popplewell, European Virtual Laboratory for Enterprise Interoperability (I-VLab), UK
Kuo-Kun Tseng, Harbin Institute of Technology, China
François Vernadat, University of Lorraine, Metz, France
Shengxiang Yang, De Montfort University, UK
Chris Zhang, University of Saskatchewan, Canada
Editorial Advisory Board
Elias Awad, University of Virginia, USA
Yiling Chen, Harvard University, USA
Vasily M. Fomin, Russian Academy of Sciences (Siberian Branch), Russia
Nelson Fraiman, Columbia University, USA
Junichi Iijima, Tokyo Institute of Technology, Japan
Gary Koehler, University of Florida, USA
Ramayya Krishnan, Carnegie Mellon University, USA
Allen Lee, Virginia Commonwealth University, USA
Yuan Li, Shanghai Jiao Tong University, China
Hasan Pirkul, University of Texas at Dallas, USA
Holly Rushmeier, Yale University, USA
Andrey Rzhetsky, University of Chicago, USA
Sartaj Sahni, University of Florida, USA
Roman Slowinski, Poznan University of Technology, Poland
Edison Tse, Stanford University, USA
Min Xie, City University of Hong Kong, Hong Kong
Shoubo Xu, Chinese Academy of Engineering, China
Editorial Board
Anurag Agarwal, University of South Florida, USA
Juan Carlos Augusto, University of Ulster, UK
Valérie Botta-Genoulaz, National Institute of Applied Science, France
Alexander E. Bulyshev, NASA Langley Research Center, USA
Victor Chang, Aston University, UK
Mu-Yen Chen, National Taichung University of Science and Technology, Taiwan
Philip Chen, University of Texas, San Antonio, USA
Xiangxian Chen, Zhejiang University, China
Dov Dori, Israel Institute of Technology, Haifa, Israel and MIT, USA
Yushun Fan, Tsinghua University, China
Susan Foster – Monash University, Australia
Bee Hua Goh, National University of Singapore, Singapore
Jon Atle Gulla, Norwegian University of Science and Technology, Norway
Jingzhi Guo, University of Macau, China
Brij Gupta, National Institute of Technology Kurukshetra, India
Mikhail Yu Kataev, Tomsk State University of Control Systems and Radioelectronics, Russia
Okyay Kaynak, Bogaziçi University, Turkey
Andrew Kusiak, University of Iowa, USA
Fachao Li, Hebei University of Science and Technology, China
Huaizu Li, University of Alberta, Canada
Lu Liu, Beijing University of Aeronautics and Astronautics, China
David Olson, University of Nebraska-Lincoln, USA
Paolo Quattrone, Saïd Business School, University of Oxford, UK
Ram Ramesh, University at Buffalo-SUNY, USA
Isabel Ramos, University of Minho, Portugal
Fuji Ren, University of Tokushima, Japan
Rami Rifaieh, University of California, USA
Michael Rosemann, Queensland University of Technology, Australia
Radhika Santhanam, University of Oklahoma, USA
Susan Scott, London School of Economics, UK
A Min Tjoa, Vienna University of Technology, Austria
Sang-Bing Tsai, Civil Aviation University of China, China; Wuyi University, China
Mike Tse, University of York, UK
Alta van der Merwe, University of Pretoria, South Africa
Marten J. van Sinderen, University of Twente, Netherlands
Wattana Viriyasitavat, Oxford University, UK
Gottfried Vossen, University of Münster, Germany
Taosheng Wang, Hunan International Economics University, China
Yichuan Wang, University of Sheffield, UK
Junzo Watada, Waseda University, Fukuoka, Japan
Xin Zhai, Peking University, Beijing, China
Minhao Zhang, University of Bristol, UK
Yuan-ting Zhang, Chinese University of Hong Kong, Hong Kong, China
Meng Chu Zhou, New Jersey Institute of Technology, Newark, USA
Mu Zhou, Chongqing University of Posts and Telecommunications, China
Abstracting and indexing
Enterprise Information Systems is indexed in:
ACM Digital LibraryAustralian Business Deans Council Journal Quality List (Rating: A)
British Library
Chartered Association of Business Schools (CABS) Academic Journal Guide (Rating: 2)
CLOCKSS
CrossRef
DBLP Computer Science Bibliography
Ei Compendex/ Engineering Village
Excellence in Research for Australia (ERA)
E-LIB (University of Bremen)
Google Scholar
Inspec (The IET)
Microsoft Academic
Naver Corporation
Portico
SAO/NASA Astrophysics Data System Abstract Service
Science Citation Index Expanded
Scopus
Ulrich's Periodicals Directory
Web of Science
WorldCat Local (OCLC)
Zetoc
Open access
Enterprise Information Systems is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
- Increase the discoverability and readership of your article
- Make an impact and reach new readers, not just those with easy access to a research library
- Freely share your work with anyone, anywhere
- Comply with funding mandates and meet the requirements of your institution, employer or funder
- Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Use our APC finder to calculate your article publishing charge
10 issues per year
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