About this journal
Aims and scope
Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems. Survey articles are welcomed provided they cover important broad fields.
Peer Review Policy
All peer review is single anonymized and submission is online via ScholarOne Manuscripts.
STAR
Taylor & Francis/Routledge are committed to the widest possible dissemination of its journals to non-profit institutions in developing countries. Our STAR initiative offers individual researchers in Africa, South Asia and many parts of South East Asia the opportunity to gain one month’s free online access to 1,300 Taylor & Francis journals. For more information, please visit the STAR website.
Journal metrics
Usage
- 19K annual downloads/views
Citation metrics
- 2.3 (2023) Impact Factor
- Q1 Impact Factor Best Quartile
- 2.1 (2023) 5 year IF
- 5.1 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 1.681 (2023) SNIP
- 0.676 (2023) SJR
Speed/acceptance
- 19 days avg. from submission to first decision
- 155 days avg. from submission to first post-review decision
- 11 days avg. from acceptance to online publication
- 19% 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:
Chien-Wei Wu, National Tsing Hua University, Taiwan
Founding Editor:
W. L. Pearn, National Chiao Tung University, Taiwan
Managing Editors:
Amy H. I. Lee, Chung Hua University, Taiwan
Advisory Editors:
Barry C. Arnold, University of California, Riverside, USA
Lai Kow Chan, Macau University of Science and Technology, China
Smiley W. Cheng, University of Manitoba, Canada
Youn-Min Chou, University of Texas at San Antonio, USA
Kailash C. Kapur, University of Washington, USA
Ron S. Kenett, KPA Ltd. , Israel and University of Torino, Italy
Way Kuo, City University of Hong Kong, Hong Kong
William Q. Meeker, Iowa State University, USA
Douglas C. Montgomery, Arizona State University, USA
W. L. Pearn, National Chiao Tung University, Taiwan
Sheldon M. Ross, University of Southern California, USA
Andras Schubert, Hungarian Academy of Sciences, Hungary
Jianjun Shi, Georgia Institute of Technology, USA
Jef L. Teugels, Katholieke Universiteit Leuven, Belgium
George C. Tiao, University of Chicago, USA
Michael Tortorella, Rutgers University, USA
Vladimir M. Zolotarev, Steklov Mathematical Institute, Moscow, Russia
Associate Editor:
Ron Bates, London School of Economics, London, UK
John Braun, University of Western Ontario, London, Canada
Philippe Castagliola, Université de Nantes, France
Giovanni Celano, University of Catania, Italy
Gemai Chen, University of Calgary, Canada
Lirong Cui, Beijing Institute of Technology, China
Ronald J.M.M. Does, University of Amsterdam, The Netherlands
Elsayed A. Elsayed, Rutgers University, USA
Roberto Furlan, Kantar Health, UK
Rainer Göb, University of Würzburg, Germany
Mengqi Hu, University of Illinois at Chicago, USA
Taizhong Hu, University of Science and Technology of China, China
Qingpei Hu, Chinese Academy of Sciences, China
Ying Hung, Rutgers University, USA
Jau Chuan Ke, National Taichung University of Science and Technology, Taiwan
Alan Kimber, University of Southampton, UK
Ming Liang, University of Ottawa, Ottawa, Ontario, Canada
Haitao Liao, University of Arizona, USA
Jing Li, Georgia Institute of Technology, USA
Yi-Kuei Lin, National Chiao Tung University, Taiwan
Francisco Louzada, Universidade de São Paulo, Brazil
Petros Maravelakis, University of Piraeus, Piraeus, Greece
Rassoul Noorossana, Iran University of Science and Technology, Iran
W. L. Pearn, National Chiao Tung University, Taiwan
Maurice Pillet, University of Savoie, France
Edward A. Pohl, University of Arkansas, USA
Alan Polansky, Northern Illinois University, USA
M. F. Ramalhoto, University of Lisbon, Portugal
Ming-Hung Shu, National Kaohsiung University of Applied Sciences, Taiwan
David M. Steinberg, Tel Aviv University, Tel Aviv, Israel
Fred Spiring, University of Manitoba, Canada
Xavier Tort-Martorell, Technical University of Catalonia, Spain
Sheng-Tsaing Tseng, National Tsing Hua University, Taiwan
Fugee Tsung, Hong Kong University of Science and Technology, Hong Kong
John Tyssedal, The Norwegian University of Science and Technology, Norway
Kaibo Wang, Tsinghua University, China
Aleksander Weron, University of Technology, Poland
Min Xie, City University of Hong Kong, Hong Kong
Hui Yang, The Pennsylvania State University, USA
Executive Editors:
Smiley W. Cheng, University of Manitoba, Canada
W. L. Pearn, National Chiao Tung University, Taiwan
Production Editors:
Y. C. Chang, Chien Hsin University of Science and Technology, Taiwan
Y. T. Tai, Kainan University, Taiwan
Past Editors-in-Chief:
2004-2006 Samuel Kotz, W. L. Pearn, Evdokia Xekalaki
2007-2009 Ron S. Kenett, Fred Spiring, Min Xie
2010-2012 Philippe Castagliola, Gemai Chen, Fugee Tsung
2013-2015 Elsayed A. Elsayed, M. F. Ramalhoto, Chien-Wei Wu
2016-2018 Chien-Wei Wu, António Pacheco, Jing Li
2019-2021 Chien-Wei Wu, Jing Li
Abstracting and indexing
Quality Technology & Quantitative Management is currently indexed in Science Citation Index Expanded, PubMed, Scopus, Compendex, MathSciNet, and Current Index to Statistics (CIS).
Open access
Quality Technology & Quantitative Management 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
6 issues per year
International Chinese Association of Quantitative Management and our publisher Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, International Chinese Association of Quantitative Management 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 International Chinese Association of Quantitative Management 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. International Chinese Association of Quantitative Management 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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