Decision Support Systems: Scopus, Scope & Submission Guide

Quick Answer: What Is Decision Support Systems?

Decision Support Systems (DSS) is a peer-reviewed Elsevier journal concerned with theoretical and technical issues in enhanced decision making. Its official scope is organised around five recurring areas: DSS foundations, functionality, interfaces, implementation, and evaluation or impact. The journal is multidisciplinary in the methods it can draw upon, but the decision-support contribution needs to remain central.

It may be a strong candidate for work on AI-assisted decision making, recommender and advisory systems, decision analytics, business intelligence, model and data management, human–computer decision interfaces, collaborative decision support, digital platforms and organisational decision processes—provided the manuscript explains how the study advances decision support rather than merely applying a technique in an unrelated domain.

For institutional visibility, Elsevier lists the journal in Scopus and SCIE. Before submission, authors should verify the current Scopus record, the applicable metric reporting year, the active article types in Editorial Manager, and the latest author instructions.

Key Takeaways

• Publisher: Elsevier; ScienceDirect is the journal platform and North-Holland is identified as the journal imprint.
• Identifiers: Scopus Source ID 21933; print ISSN 0167-9236; online ISSN 1873-5797.
• Scope: research must connect meaningfully to enhanced decision making, including foundations, functionality, interfaces, implementation, evaluation or impact.
• Indexing: Elsevier lists Scopus and Science Citation Index Expanded (SCIE), along with SJR and SNIP-related indexing information.
• Displayed metrics: Elsevier showed CiteScore 13.5 and Impact Factor 6.8 when this guide was verified on 10 August 2026; confirm the exact reporting cycle before formal use.
• Publishing model: hybrid; open access is optional and the currently displayed APC is USD 3,900 excluding taxes, while subscription publication carries no publication fee for authors.
• Timeline insight: Elsevier displays 3 days to first decision and 302 days from submission to acceptance; these are journal-level indicators, not guarantees.
• Fit matters: a technically strong AI, analytics or optimisation paper may still be unsuitable if its core scholarly contribution belongs more naturally to another discipline.

Journal Information at a Glance

The table separates verified information from fields that require a fresh database check.

What This Page Covers

• Decision Support Systems aims, scope and subject boundaries
• Scopus, SCIE and the meaning of current journal metrics
• Research themes and article types visible in the journal archive
• Who may find the journal suitable and how to evaluate manuscript fit
• Open access, APCs and publication-timeline information
• Manuscript preparation, submission and peer-review readiness
• Publication ethics, AI-use responsibilities and reviewer-response practice
• How Contentxprtz can support ethical publication readiness without promising acceptance

Methodology and Sources

This profile was prepared from journal-specific identifiers supplied with the task and checked against authoritative sources. Primary evidence includes the official ScienceDirect journal and insights pages, the Elsevier Shop record, the Scopus Source ID supplied for the journal, Clarivate’s journal title listing, recent ScienceDirect issues and the Elsevier submission ecosystem.

Metrics, APCs, editorial leadership, special issues and submission requirements are time-sensitive. Where an official page did not expose a current numeric value with its reporting year—particularly SJR, SNIP and quartile—this guide leaves the value for verification rather than substituting a third-party estimate.

What Does Decision Support Systems Aim to Publish?

The journal’s defining criterion is relevance to enhanced decision making. Elsevier describes suitable contributions through five connected areas: foundations, functionality, interfaces, implementation, and evaluation or impact. That framing is useful because it distinguishes a genuine DSS contribution from a manuscript that simply happens to use analytics or software.

DSS foundations

Foundation-oriented work can develop principles, concepts, theories, formal languages or research methods that improve decision making. The official scope also emphasises careful theory validation. A conceptual model is therefore stronger when the manuscript explains how it can be tested, challenged or used to generate new decision-support knowledge.

DSS functionality and technical capabilities

Functionality includes tools and techniques for model, data, solver and rule management, as well as systems used in collaborative work, negotiation and related decision settings. Contemporary submissions may use machine learning, large language models, recommendation logic, optimisation or knowledge-based methods, but the research question should remain about decision support rather than algorithm performance in isolation.

Interfaces, implementation and use

The journal also covers the design and management of interfaces, knowledge presentation, system use, deployment, updating, instruction and training. Practical implementation studies become more compelling when specific experiences lead to generalisable implications rather than remaining a local case description.

Evaluation and impact

Evaluation can address metrics, processes and the impact of DSS on decision makers, organisational processes and performance. Human–AI interaction, decision quality, adoption, trust, explainability, behavioural response and organisational consequences can therefore be relevant when tightly connected to decision-support theory or design.

Methods may come from decision theory, economics, econometrics, statistics, database management, linguistics, management science, mathematical modelling, operations management, cognitive science and psychology. The journal explicitly cautions that a paper making a direct contribution mainly to one of those neighbouring disciplines may be better submitted to a specialist outlet in that field.

Subject Areas and Research Topics That May Fit

Officially, the journal is positioned around decision support and information systems. Elsevier’s insights page lists subject areas including Information Systems, Information Systems and Management, and Management Information Systems. Based on the stated scope and recent publications, potential themes include the following; this is guidance, not an exhaustive official topic list.

Understanding Its Scopus Coverage and Journal Metrics

For researchers who must publish in a Scopus-listed journal, Decision Support Systems has a verifiable Scopus identity: Source ID 21933. Elsevier’s own journal insights page lists Scopus among the abstracting and indexing services. That is useful institutional evidence, but authors should still open the source profile immediately before submission to confirm current coverage years, active status, subject categories and metric reporting periods.

Other indexing

Elsevier also lists Science Citation Index Expanded (SCIE). Clarivate’s journal title list contains Decision Support Systems with the same print and online ISSNs, supporting the journal’s Web of Science identity. Elsevier additionally references SJR, SNIP and the Australian Business Deans Council (ABDC) in its indexing/impact information.

CiteScore and Impact Factor

On 10 August 2026, Elsevier’s ScienceDirect page displayed a CiteScore of 13.5 and an Impact Factor of 6.8. The accessible summary did not label the reporting year next to those values, so a researcher citing them in a thesis, annual review or funding document should confirm the current Scopus and Journal Citation Reports reporting year rather than presenting the numbers as timeless.

What about SJR, SNIP and quartile?

The official sources accessible for this guide did not expose current numeric SJR, SNIP or quartile values together with reporting years and subject categories. Those values are therefore deliberately not reproduced here. Quartiles can differ by category and year, so a statement such as “the journal is Q1” should be backed by the precise database, year and subject classification.

Metrics help describe visibility and citation performance; they do not substitute for scope fit. A paper can be methodologically excellent and still be declined quickly if its contribution is primarily to marketing, agriculture, medicine, computer vision or another field rather than decision-support scholarship.

Publisher, Editorial Leadership and Publication History

Decision Support Systems is published by Elsevier and hosted on ScienceDirect. Elsevier’s journal insights information identifies North-Holland as the journal imprint. The archive begins with Volume 1, Issue 1 in January 1985, showing a long publication history in decision-support research.

At the time of verification, the official journal page listed Andrew N. K. Chen of the University of Kansas and Victoria Y. Yoon of Virginia Commonwealth University as Co-Editors in Chief. Editorial appointments can change, so prospective authors should use the current editorial-board page rather than relying on an older citation or cached directory.

Recent issues show an international and interdisciplinary research mix. 2025–2026 content includes studies on AI-powered customer service, LLM deception in online reviews, AI nudging, process-model comprehension, organisational innovation, online labour markets, crowdfunding and digital platforms. This pattern indicates that modern AI and digital-economy research can fit, but only when its question is framed for the journal’s decision-support and information-systems audience.

What Types of Articles Does the Journal Publish?

Research articles are clearly the dominant visible article type in recent issues. The archive also contains review articles, editorials and special-issue material. However, the safest way to choose a submission category is to check the current Guide for Authors and the live Editorial Manager article-type menu, because a historical article label does not prove that the same type is currently open for unsolicited submission.

For a standard empirical or design-science paper, the manuscript should make its theoretical or technical contribution explicit. A review should do more than summarise literature; it should provide a defensible synthesis, taxonomy, framework, research agenda or other contribution consistent with the journal’s role in advancing decision-support knowledge.

Is This Journal a Good Match for Your Research?

A useful fit test asks whether the manuscript would still make sense to the journal’s readership if the application domain were removed. If the central contribution remains about how decisions are supported, represented, improved, evaluated or affected by technology, the fit is stronger.

Five practical fit scenarios

• Strong match: a field experiment tests whether AI-generated decision advice improves decision quality and examines reliance, trust and behavioural mechanisms.
• Strong technical match: a new model-management architecture is embedded in a DSS and evaluated for decision performance, usability and generalisability.
• Borderline match: a machine-learning model predicts churn with high accuracy but gives little attention to decision processes, system design or managerial action. The paper may need a stronger DSS contribution or a different journal.
• Weak match: a medical image-classification paper focuses almost entirely on diagnostic accuracy. Unless the research contribution is about clinical decision support and its use, a specialist medical-AI outlet may be more appropriate.
• Preparation issue rather than scope issue: the topic fits well, but the manuscript has unclear theory, inconsistent terminology, weak figures and missing declarations. Those problems can be fixed before submission; they are not evidence that the journal itself is wrong.

Journal-fit checklist

• Does the study contribute directly to enhanced decision making?
• Can I connect the research question to DSS foundations, functionality, interfaces, implementation, evaluation or impact?
• Does the journal publish work using my methodology or closely related methods?
• Have I read several recent papers, not just the aims-and-scope page?
• Will the journal’s information-systems and decision-support audience understand why the result matters?
• Is the contribution broader than a single local implementation or application domain?
• Does my institution accept the journal’s current indexing status?
• Have I checked the latest article type, author guide, publication model and fees?

Preparing and Submitting a Manuscript

Submission should begin with the journal’s current Guide for Authors, not with a third-party template. Elsevier’s submission link routes authors through Editorial Manager. The live instructions and portal determine the current file, declaration and article-type requirements.

Manuscript preparation

At minimum, a strong submission needs a precise title, a stand-alone abstract, appropriate keywords, a clear introduction and contribution statement, transparent methods, well-supported results, a discussion that explains implications for decision-support theory or practice, and a conclusion that does not overstate the evidence. Figures and tables should be interpretable, cited in sequence and supplied in the formats requested by Elsevier.

Because the accessible official journal summary did not expose every current formatting rule, this guide does not invent a word limit, abstract limit, keyword count or mandatory reference format. Authors should verify those items in the live Guide for Authors immediately before final formatting.

Submission files and declarations

Elsevier journals commonly request structured authorship information, affiliations, corresponding-author details, competing-interest and funding declarations, and may request data-availability information, highlights, supplementary material, graphical abstracts or other files depending on the journal. Treat the Decision Support Systems portal as the authority for what is mandatory at the time you submit.

References and language

Reference accuracy matters even when initial formatting is flexible: every in-text citation should have a matching reference, bibliographic details should be complete, and DOIs should be checked where available. The manuscript should use clear academic English and consistent technical terminology. Language editing can improve readability, but it cannot compensate for a weak research question, unsupported inference or poor methodological design.

What Happens After You Submit?

ScienceDirect identifies articles in press as accepted and peer reviewed, confirming that external peer review is part of the publication process. A typical submission therefore moves through technical checks, editorial assessment, reviewer selection where appropriate, revision, final editorial decision, proofing and publication. The exact peer-review anonymisation model should be confirmed in the current Guide for Authors rather than assumed from another Elsevier journal.

Elsevier’s journal insights page currently displays 3 days from submission to first decision and 302 days from submission to acceptance. The first figure may include rapid editorial screening, so it should not be interpreted as a three-day external peer review. The acceptance figure reflects a journal-level timeline and can include multiple revision rounds.

How to respond to reviewers

For a revision, copy each reviewer comment into a response document, answer point by point, identify exactly where the manuscript changed, and explain respectfully when a suggestion is not adopted. A strong response distinguishes substantive changes from wording changes and keeps the revised manuscript consistent with the response letter.

Common reasons a manuscript may not progress

As practical publication guidance rather than journal-specific rejection statistics, common problems include weak scope alignment, limited novelty, inadequate theory development, unsuitable or under-explained methods, unsupported conclusions, poor reporting, unclear contribution, incomplete declarations and failure to follow author instructions. For Decision Support Systems in particular, a recurring fit risk is that the manuscript’s real contribution belongs to a neighbouring discipline rather than to decision support.

Open Access, APCs and Publication Costs

Decision Support Systems follows a hybrid model. Elsevier currently offers an open-access route with an APC of USD 3,900 excluding taxes. The publisher notes that the amount may be reduced during submission where applicable. Under the subscription route, Elsevier states that no publication fee is charged to authors and published articles are available to subscribers.

An APC is a publishing-model choice, not an acceptance fee. Authors should check institutional read-and-publish agreements, funder requirements and the exact amount shown during submission before committing to open access. Fees and eligibility arrangements can change.

The journal does not appear to publicly disclose an official acceptance rate in the authoritative sources reviewed for this guide. No acceptance-rate estimate is therefore provided.

Publication Ethics, Authorship and AI Use

Authors should follow Elsevier’s current publishing-ethics policies on originality, duplicate submission, authorship, conflicts of interest, data integrity, image handling, corrections and retractions. Where research involves human participants, animals, confidential information or regulated data, the manuscript should contain the approvals, consent information and safeguards required by the study and applicable policy.

Elsevier also maintains policies on generative AI in manuscript preparation. The practical principle is that authors remain responsible for the accuracy, originality and integrity of the submitted work; AI tools cannot be authors. Where the current policy requires disclosure of generative-AI assistance, the disclosure should accurately describe the tool and purpose. Authors should also protect confidential or unpublished material when using external tools.

Professional editing should operate within the same ethical boundary. It can improve language, logic, structure, formatting and presentation, but should not fabricate evidence, invent citations, manipulate peer review, create fake reviewer identities or conceal authorship responsibilities.

Pre-Submission Publication-Readiness Checklist

How Researchers Should Evaluate Decision Support Systems

Whether Decision Support Systems is a “good journal” depends on what the researcher needs. Objectively, it has identifiable publisher information, long-running publication history, Scopus and SCIE visibility, active recent issues, defined scope, transparent publishing options and journal-level impact indicators. Those are useful signals, but the right question is whether they align with your manuscript and institutional requirements.

For a PhD scholar, the journal may be relevant if the dissertation research genuinely advances decision-support knowledge and the university recognises the journal’s current indexing. For an early-career researcher, the breadth of methods can be attractive, but the paper still needs a clear information-systems or decision-support contribution. For an applied professional, a real implementation can be publishable when the study extracts general lessons, theory or evidence rather than presenting a project report.

Before committing, verify the publisher identity, Scopus record, Web of Science status if required, current metrics, fee route, peer-review information, current editorial board and author instructions. This same verification habit is useful for any journal and avoids relying on copied metric websites or outdated directories.

Planning to Submit Your Research to Decision Support Systems?

Preparing for submission involves more than correcting grammar. The manuscript needs to fit the journal’s decision-support scope, explain its contribution clearly, follow the current author instructions, present figures and tables effectively, use accurate references and include the required ethical and authorship declarations.

Contentxprtz journal publication support can help researchers prepare their own work through manuscript assessment, academic editing, proofreading, journal formatting, reference and citation checks, title and abstract refinement, cover-letter editing, reviewer-response editing and publication-readiness review. Support can be particularly useful when a technically sound DSS manuscript needs clearer theory positioning, more consistent language or closer alignment with the target journal’s instructions.

Contentxprtz does not control editorial decisions and does not guarantee acceptance, peer-review success or publication. The purpose of professional support is to help authors present their own research more clearly, accurately, ethically and consistently.

Summary: Decision Support Systems

Decision Support Systems is an Elsevier journal focused on theory and technology for enhanced decision making. Its official scope covers DSS foundations, functionality, interfaces, implementation, evaluation and impact, with room for multidisciplinary methods when the decision-support contribution remains central. The supplied Scopus Source ID is 21933, and Elsevier lists Scopus and SCIE among its indexing services.

When verified on 10 August 2026, Elsevier displayed CiteScore 13.5, Impact Factor 6.8, an optional open-access APC of USD 3,900 excluding taxes, 3 days to first decision and 302 days from submission to acceptance. Current quartile, SJR and SNIP values should be checked directly in the applicable official database with reporting year and category.

Authors should make the final submission decision only after checking the live journal homepage, recent issues, current Guide for Authors, Scopus record and Editorial Manager requirements.

Conclusion

Decision Support Systems may be a strong target for research that advances how technology, models, data, interfaces or organisational systems support decision making. Its broad methodological reach is useful, but it does not mean every AI, analytics or optimisation paper is automatically in scope. The manuscript should explain why the contribution matters specifically to decision-support scholarship and to the journal’s readership.

Before submission, confirm the latest author guidelines, active article type, Scopus status, current metrics, open-access terms and required declarations. Careful journal selection and manuscript preparation can improve publication readiness, while the final editorial decision remains entirely with Decision Support Systems.