The Journal of Management Analytics (JMA) is a journal focused on the theory of data analytics and its applications in traditional business disciplines. These disciplines include accounting, finance, management, marketing, production/operations management, and supply chain management. The interface between data analytics and various business disciplines are of particular interest for this journal. Research methods integral to this journal include, but are not limited to, empirical research, data analytics, big data analytics, data science, operations research, management science, decision science, and simulation modelling.
Peer Review Policy All research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymized refereeing by at least two anonymous referees.
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Journal metrics
Usage
45K annual downloads/views
Citation metrics
3.6 (2023) Impact Factor
Q1 Impact Factor Best Quartile
5.7 (2023) 5 year IF
13.3 (2023) CiteScore (Scopus)
Q1 CiteScore Best Quartile
1.864 (2023) SNIP
1.262 (2023) SJR
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.
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.
Editors-in-Chief Yuan Li, Shanghai Jiao Tong University, China Lida Xu, Old Dominion University, USA
Associate Editors Hsinchun Chen, University of Arizona, USA Eric K. Clemons, University of Pennsylvania, USA Jan Damsgaard, Copenhagen Business School, Denmark Bin Gu,Boston University, USA Michael Haenlein,ESCP Europe, France Nicholas Hall,Ohio State University, USA Wei Jiang,Shanghai Jiao Tong University, China Ling Li,Old Dominion University, USA Tava Olsen,Melbourne Business School, Australia Josip Stjepandic,PROSTEP AG, Germany Chee-Wee Tan,The Hong Kong Polytechnic University, China Yong Tan,University of Washington, USA Guohua Wan,Shanghai Jiao Tong University, China D.J. Wu,Georgia Institute of Technology, USA Jian-Bo Yang,University of Manchester, UK Chris Zhang,University of Saskatchewan, Canada Pengzhu Zhang,Shanghai Jiao Tong University, China J. Leon Zhao,City University of Hong Kong, China Zhiqiang (Eric) Zheng,University of Texas at Dallas, USA Editorial Advisory Board Guoqing Chen,Tsinghua University, China Mike Jackson,University of Hull, UK Michael L. Pinedo,New York University, USA Roman Slowinski,Poznan University of Technology, Poland Detmar W. Straub,Temple University, USA Shoubo Xu,Chinese Academy of Engineering, China
Editorial Board Yu Jeffrey Hu,Purdue University, USA Ioannis Konstantaras,University of Macedonia, Greece Eric T.K. Lim,University of New South Wales, Australia Yi Liu,Shanghai Jiao Tong University, China Margherita Peruzzini,University of Modena and Reggio Emilia, Italy Min Xie,City University of Hong Kong, China Lirong Zheng,Fudan University, China; Royal Institute of Technology (KTH), Sweden
Abstracting and indexing
Journal of Management Analytics is abstracted/indexed by:
Social Sciences Citation Index (SSCI)
Essential Science Indicators
Current Contents Social and Behavioral Sciences
Scopus
Ei Compendex
Inspec
EBSCO
CNKI
CrossRef
British Library
ABDC
Open access
Journal of Management Analytics 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.
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Antai College of Economics and Management, Shanghai Jiao Tong University and our publisher Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Antai College of Economics and Management, Shanghai Jiao Tong University and our publisher Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Antai College of Economics and Management, Shanghai Jiao Tong University and our publisher Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Antai College of Economics and Management, Shanghai Jiao Tong University and our publisher Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
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