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About Decision Analytics
This page includes information about the aims and scope of Decision Analytics, editorial policies, open access and article-processing charges, the peer review process and other information. For details of how to prepare and submit a manuscript through the online submission system, please see the instructions for authors.
Aims & scope
The Decision Analytics journal is a forum for exchange of research findings, analysis, information, and knowledge in areas which include but are not limited to:
- Data Mining - Decision Analytics journal seeks research articles that show how to utilize a wide range of statistical methods, data visualization techniques, and pattern recognition approaches to help decision-makers leverage the knowledge hidden within organizational data.
- Predictive Modeling - Decision Analytics journal encourages research endeavors that identify organizational risks and opportunities by exploiting patterns found in historical and transactional data.
- Simulation Modeling - Decision Analytics journal promotes application of simulation in enterprise and organizational context for examining and comparing options and scenarios prior to implementation.
- Optimization Modeling - Decision Analytics journal promotes research that can help decision-makers make the best choice by means of various optimization models.
- Prescriptive Methods - Decision Analytics journal invites research that supports the joint application of predictive models and optimization technology to create better solutions for decision-makers.
- Business Intelligence - Decision Analytics journal invites research that utilizes the latest techniques in data mining, analysis, and performance management to help decision-makers gain and sustain a competitive edge.
Decision Analytics is a peer-reviewed open-access journal published under the brand SpringerOpen.
Decision Analytics promotes the applications of computer technology, operations research, statistics, and simulation to decision-making and problem-solving in all organizations and enterprises within the private and public sectors. The journal focuses on predictive as well as prescriptive analytics taking organizations to a higher degree of intelligence and competitive advantage. While predictive analytics, such as forecasting, emphasize the future, prescriptive analytics, such as optimization, enable organizations to choose the best course of action. The combination of predictive and prescriptive analytics can help organizations achieve both efficiency and effectiveness.
The principal objective of Decision Analytics is to establish a forum amongst academic researchers, policy-makers, and practitioners concerned with the development of new methodologies to formulate and solve organizational problems by applying decision analytics methods. The journal provides a publication vehicle for theoretical, empirical, and analytical research as well as real-world applications and case studies. Papers published in Decision Analytics should not only meet high standards of research rigor and originality in decision analysis, but they should also embrace predictive and prescriptive analytics.
All articles published by Decision Analytics are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found here.
Authors of articles published in Decision Analytics are the copyright holders of their articles and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate the article, according to the SpringerOpen copyright and license agreement.
For authors who are US government employees or are prevented from being copyright holders for similar reasons, BioMed Central can accommodate non-standard copyright lines. Please contact us if further information is needed.
Open access publishing is not without costs. Decision Analytics therefore levies an article-processing charge of £660/$1030/€840 for each article accepted for publication. If the corresponding author's institution is a Member, the cost of the article-processing charge is covered by the membership, and no further charge is payable. In the case of authors whose institutions are Supporter Members, however, a discounted article-processing charge is payable by the author. We routinely waive charges for authors from low-income countries. For other countries, article-processing charge waivers or discounts are granted on a case-by-case basis to authors with insufficient funds. Authors can request a waiver or discount during the submission process. For further details, see our article-processing charge page.
SpringerOpen is working closely with Thomson Reuters (ISI) to ensure that citation analysis of articles published in Decision Analytics will be available.
Publication and peer review process
The specific topics accepted for publication include, but are not limited to, the following:
- Applied probability and stochastic processes
- Artificial intelligence and reasoning
- Bayesian methods
- Business intelligence
- Business process reengineering
- Business process simulation
- Collective intelligence
- Combinatorial optimization
- Computational intelligence
- Cost-benefit analysis
- Data envelopment analysis
- Data mining and knowledge discovery
- Data stream mining/Temporal data mining
- Data visualization
- Data warehousing
- Decision analysis
- Decision support systems
- Distributed decision-making
- Dynamic programming
- Enterprise and organizational simulation
- Expert systems
- Facilities planning and design
- Flexible manufacturing systems
- Fuzzy decision-making
- Fuzzy sets
- Game theory
- Genetic algorithms
- Geospatial data analytics
- Global optimization
- Goal programming
- Graph theory
- Group decision-making
- Integer programming
- Inventory management
- Investment management
- Knowledge-based systems
- Knowledge engineering
- Large-scale optimization
- Linear programming
- Linguistic engineering
- Location planning
- Logistics management
- Manufacturing management
- Markov processes
- Mixed-integer programming
- Multiple-criteria analysis
- Multiple-objective programming
- Multivariate statistics
- Network flows theory and applications
- Neural networks
- Nonlinear programming
- Parametric programming
- Productivity and competitiveness
- Project management
- Quadratic programming
- Quality management
- Queuing theory and applications
- Regression analysis
- Risk analysis
- Robustness and sensitivity analysis
- Sentiment analysis
- Soft computing
- Stochastic frontier analysis
- Stochastic programming
- Supply chain management
- System dynamics
- Text analytics/Text mining
- Time series modeling
- Transportation management
- Uncertainty modeling
- Utility theory
- Web Analytics
Authors will be able to check the progress of their manuscript through the submission system at any time by logging into My Decision Analytics, a personalized section of the site.
Portability of peer review
In order to support efficient and thorough peer review, we aim to reduce the number of times a manuscript is re-reviewed after rejection from Decision Analytics, thereby speeding up the publication process and reducing the burden on peer reviewers. Therefore, please note that, if a manuscript is not accepted for publication in Decision Analytics and the authors choose to submit a revised version to another SpringerOpen journal, we will pass the reviews on to the other journal's editors at the authors' request. We will reveal the reviewers' names to the handling editor for editorial purposes unless reviewers let us know when they return their report that they do not wish us to share their report with another SpringerOpen journal.
Please see our reprints website for information about reprinting articles.
Decision Analytics will consider supplements based on proceedings (full articles or meeting abstracts), reviews or research. All articles submitted for publication in supplements are subject to peer review. Published supplements are fully searchable and freely accessible online and can also be produced in print. For further information, please contact us.
Any manuscript, or substantial parts of it, submitted to the journal must not be under consideration by any other journal. In general, the manuscript should not have already been published in any journal or other citable form, although it may have been deposited on a preprint server. Authors are required to ensure that no material submitted as part of a manuscript infringes existing copyrights, or the rights of a third party.
Correspondence concerning articles published in Decision Analytics is encouraged. A 'post a comment' feature is available on all articles published by Decision Analytics. Comments will be moderated by the editorial office (see our Comment policy for further information) and linked to the full-text version of the article, if suitable.
SpringerOpen is a member of the Committee on Publication Ethics (COPE). In order to safeguard the quality of SpringerOpen journal publications, Springer has developed a policy on Publishing Integrity which is in line with the philosophy of COPE.
We follow the principle that we have a prime duty to maintain the integrity of the scientific record. Springer’s Policy on Publishing Integrity addresses:
- Clear definitions of what violation of Publishing Integrity is.
- A manual on how to identify such a violation (in the document referred to as an Act of Misconduct).
- Clear (COPE) examples of what such an Act of Misconduct looks like in practice.
- Clearly defined actions which have to be undertaken by the Editor and Springer when such an Act is a clearly proven fact.
- Q & A – a useful list of Questions and Answers on the definition of Publishing Integrity.
Please find the full document of Springer's Policy on Publishing Integrity here.
Data and materials release
Submission of a manuscript to Decision Analytics implies that readily reproducible materials described in the manuscript, including all relevant raw data, will be freely available to any scientist wishing to use them for non-commercial purposes.
Any 'in press' articles cited within the references and necessary for the reviewers' assessment of the manuscript should be made available if requested by the editorial office.
Appeals and complaints
Authors who wish to appeal a rejection or make a complaint should, in the first instance, contact the Editor-in-Chief who will provide details of the journal's complaints procedure.
Decision Analytics requires authors to declare any competing financial or other interest in relation to their work. All competing interests that are declared will be listed at the end of published articles. Where an author gives no competing interests, the listing will read 'The author(s) declare that they have no competing interests'.
Decision Analytics's publisher, SpringerOpen, is a member of the CrossCheck plagiarism detection initiative. In cases of suspected plagiarism CrossCheck is available to the editors of Decision Analytics to detect instances of overlapping and similar text in submitted manuscripts by using the plagiarism detection tool iThenticate. CrossCheck is a multi-publisher initiative allowing screening of published and submitted content for originality.
Citing articles in Decision Analytics
Articles in Decision Analytics should be cited in the same way as articles in a traditional journal. Because articles are not printed, they do not have page numbers; instead, they are given a unique article number.
Article citations follow this format:
Authors: Title. Decis Anal [year], [volume number]:[article number].
e.g. Roberts LD, Hassall DG, Winegar DA, Haselden JN, Nicholls AW, Griffin JL: Increased hepatic oxidative metabolism distinguishes the action of Peroxisome Proliferator-Activated Receptor delta from Peroxisome Proliferator-Activated Receptor gamma in the Ob/Ob mouse. Decis Anal 2009, 1:115.
refers to article 115 from Volume 1 of the journal.
Why publish your article in Decision Analytics?
Decision Analytics's open access policy allows maximum visibility of articles published in the journal as they are available to a wide, global audience. Articles that have been especially highly accessed are highlighted with a 'Highly accessed' graphic, which appears on the journal's contents pages and search results.
Speed of publication
Decision Analytics offers a fast publication schedule whilst maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically (articles are distributed in PDF form, which is automatically generated from the submitted files). Articles will be published with their final citation after acceptance, in both fully browsable web form, and as a formatted PDF; the article will then be available through Decision Analytics and SpringerOpen.
Online publication in Decision Analytics gives authors the opportunity to publish large datasets, large numbers of color illustrations and moving pictures, to display data in a form that can be read directly by other software packages so as to allow readers to manipulate the data for themselves, and to create all relevant links (for example to relevant databases and papers).
Promotion and press coverage
Articles published in Decision Analytics are included in article alerts and regular email updates. Some may be included in abstract books mailed to academics and are highlighted on Decision Analytics's pages and on the SpringerOpen homepage.
In addition, articles published in Decision Analytics may be promoted by press releases to the general or scientific press. These activities increase the exposure and number of accesses for articles published in Decision Analytics.
Authors of articles published in Decision Analytics retain the copyright of their articles and are free to reproduce and disseminate their work (for further details, see the copyright and license agreement.
For further information about the advantages of publishing in a journal from SpringerOpen, please click here.