Advances in Business and Management Forecasting: Scopus, Scope & Submission Guide

Quick Answer: What Is Advances in Business and Management Forecasting?

Advances in Business and Management Forecasting is an Emerald Publishing book series and annual blind-refereed serial devoted to the practical application of forecasting methods in business and management. Emerald’s official series description positions it as an applications- and practitioner-oriented research annual covering topics such as sales and marketing forecasting, new-product forecasting, judgmental forecasting, survey-based forecasting, strategic business decisions, improvements in forecasting accuracy and sales-response models.

The supplied source record identifies the publication as a Scopus Book Series with Scopus Source ID 21100258746 and ISSN 1477-4070. For a researcher, that distinction matters: this is not simply a conventional journal with issues and a permanent manuscript portal. Contributions are associated with edited volumes in a serial series, so submission instructions, calls for papers and editorial arrangements may be volume-specific.

Researchers whose work uses forecasting to solve a substantive business, management, operations, marketing, finance, service or decision problem may find the series relevant. Before submitting, confirm the current call for papers, the active editor instructions, Scopus coverage and any institution-specific rules about whether a Scopus-indexed book series satisfies PhD, promotion or funding requirements.

Key Takeaways for Researchers

• Source type: Scopus lists the title as a Book Series; Emerald describes it as a blind-refereed annual serial.
• Publisher: Emerald Publishing Limited / Emerald Group Publishing Limited.
• Scopus identity: Source ID 21100258746, supplied with the task and used to disambiguate the correct source.
• ISSN: 1477-4070, also displayed on Emerald volume pages as the Series ISSN.
• Core scope: applied forecasting methods for business and management decisions, with strong practitioner orientation.
• Published themes: sales, marketing, retailing, supply chain, health care, finance, insurance, bankruptcy prediction, executive compensation, operations and staffing.
• Metrics caution: no current authoritative CiteScore, SJR, SNIP, quartile or Journal Impact Factor value was verified for this page; check the live database before using a metric in an academic decision.
• Submission caution: use the current series call for papers or volume-specific editor instructions rather than assuming a standard journal submission workflow.

Journal Information at a Glance

The table below separates verified source identity from items that require live confirmation. This is particularly important because a serial book series can be indexed and evaluated differently from a conventional journal.

How This Profile Was Prepared

This page uses the supplied Scopus source record to identify the exact title, then cross-checks journal-specific information against Emerald’s official series and volume pages. The series description is used for aims, scope, annual frequency and the blind-refereed model; individual Emerald volume pages are used to confirm the Series ISSN and illustrate the breadth of forecasting applications represented in published work.

Metrics, indexing status, editorial arrangements, fees and submission instructions can change. Before a manuscript is submitted—or before a researcher claims that a publication satisfies an institutional rule—reconfirm the relevant facts in the live Scopus source profile, the official Emerald series page and the current volume or call for papers.

What Does the Series Aim to Publish?

Emerald describes the objective of Advances in Business and Management Forecasting as presenting state-of-the-art studies that apply forecasting methodologies to business and management problems. The series is explicitly oriented toward applications and practitioners, so forecasting is not merely a statistical technique in the background; it is expected to contribute to better real-world decisions.

The standing topical description includes sales and marketing forecasting, new-product forecasting, judgmentally based forecasting, applications of surveys to forecasting, forecasting for strategic business decisions, improvements in forecasting accuracy and sales-response models. That list is best read as a core orientation rather than a narrow checklist. Published volumes demonstrate that the editorial scope can extend into operations, supply chains, health care, finance, insurance, retailing and service management when forecasting is central to the research contribution.

What “applied forecasting” means in practice

A manuscript is likely to align more naturally when it connects a forecasting method with a concrete managerial decision. Examples include comparing predictive models for demand, improving forecast bias, evaluating intermittent-demand methods, predicting bankruptcy, estimating staffing requirements, forecasting service capacity, analysing financial outcomes or testing how a forecasting technique performs in an operational setting.

By contrast, a manuscript that uses regression or machine learning only as a secondary analytic tool—without a meaningful forecasting problem, forecast evaluation or decision application—may be a weaker fit even if the topic sits broadly within business or management.

Research Themes Visible Across Published Volumes

Emerald’s volume descriptions and contents show a series that is methodologically broad but united by prediction and decision use. Volume 13, for example, grouped work around marketing, sales and service forecasting; economic, financial and insurance forecasting; and CEO compensation and operations forecasting. Earlier volumes include work on supply chain, health care, product demand, technology forecasting, strategic planning and forecasting accuracy.

What Do Published Contributions Look Like?

The series is useful to evaluate through actual chapter topics rather than scope language alone. Emerald lists work such as forecasting sales of Fortune 500 companies with support-vector regression and radial-basis-function approximation, comparing intermittent-demand forecasting, forecasting hospital bed-day requirements, evaluating crop forecasts, modelling operating income, predicting population growth and modelling call-centre staffing.

These examples suggest an editorial preference for research that is both analytically explicit and practically interpretable. A strong manuscript should normally make clear: what is being forecast, why the forecast matters, what method or comparison is used, how performance is evaluated and what a decision maker can learn from the findings.

Understanding Its Scopus Coverage and Metrics

The supplied record identifies Advances in Business and Management Forecasting as a Scopus source under Source ID 21100258746. For researchers whose institutions require Scopus-listed output, that is an important starting point—but it is not the entire decision.

First, Scopus source status and coverage can change over time. Second, universities may apply their own rules about source type. A policy that says “Scopus-indexed journal” may or may not treat a Scopus-indexed book series as equivalent. Researchers should therefore check the exact wording of their doctoral, promotion, grant or assessment requirements before committing a manuscript.

Why this page does not publish an unverified metric number

No current authoritative CiteScore, SJR, SNIP or quartile value was verified for the series in the sources used here. Third-party journal-ranking sites may display incomplete, stale or conflicting values. For a decision that depends on a 2025 or 2026 metric, use the live Scopus source profile or the metric provider directly and record the reporting year and subject category.

Similarly, an official current Journal Impact Factor was not established for this source. Because the title is a book series, researchers should not assume that a Clarivate journal metric applies simply because a website labels the source a “journal.”

Publication Model, Peer Review and Editorial Structure

Emerald calls the series a blind refereed serial publication published on an annual basis. That wording supports two useful conclusions: submitted scholarly contributions are subject to refereeing, and the publication is organised as recurring edited volumes rather than conventional monthly or quarterly journal issues.

The public series description does not specify enough detail to state whether every current volume follows single-blind or double-blind review, how many referees are normally used, or the average time to first decision. Those details should be obtained from the current call for papers or the volume editor. The same caution applies to acceptance rates: no official acceptance rate was found, and it should not be estimated.

Researchers should also expect volume-level editorial leadership. Emerald pages for earlier volumes identify editors such as Kenneth D. Lawrence and Ronald K. Klimberg, while specific volume arrangements may change. Check the current volume rather than assuming historical editors remain responsible for new submissions.

Open Access, Publication Fees and Purchase Model

Emerald sells individual volumes and chapters of Advances in Business and Management Forecasting through its books platform. Public product pages display prices for hardback and electronic editions, but those reader purchase prices are not the same thing as author publication fees.

A current series-wide APC or contributor fee was not verified from an authoritative public source for this page. If a call for papers offers an open-access route, chapter-level licensing option, author-processing fee or waiver mechanism, the applicable amount should be confirmed for that specific volume. Authors should not infer a publication fee from retail book prices or from fees charged by unrelated Emerald journals.

Is This Series a Good Match for Your Research?

Start with the role of forecasting in your paper. If forecasting is the central research problem and your work explains how the model, evidence or method improves a real business or management decision, the series may be a credible target. If forecasting is incidental, the match is less convincing.

Strong fit indicators

• Your title and research question clearly involve forecasting, prediction or forecast evaluation.
• The manuscript addresses a recognisable business, management, operations, marketing, finance or service decision.
• The method is evaluated using appropriate accuracy, validation or comparative evidence.
• The contribution is interpretable for practitioners as well as researchers.
• You can explain why the work belongs in a forecasting series rather than only in a domain-specific journal.

Reasons to reconsider the target

• The manuscript is mainly theoretical management research with no forecasting contribution.
• The paper is a generic machine-learning benchmark with little business interpretation.
• The work is descriptive and does not evaluate prediction or forecast performance.
• Your university specifically requires a “journal article” and excludes book-series chapters.
• Your reason for choosing the title is only Scopus indexing rather than scope and readership.

Preparing and Submitting a Manuscript

Because this is a serial book series, the safest preparation strategy is to work from the current call for papers or volume instructions. Do not assume that formatting, word limits or submission files from a past volume remain current.

1. Establish scope fit before formatting

Write a one-paragraph fit statement for yourself: identify the business problem, the forecasting contribution, the method, the evaluation and the practical implication. If that paragraph does not sound at home beside the series’ published work, reconsider the target before spending time on detailed formatting.

2. Compare with recent and relevant chapters

Review several contributions in the most relevant volumes. Look at how they frame forecasting problems, describe data, compare models, report accuracy and connect results to management decisions. This is publication-readiness guidance, not an official Emerald requirement, but it is one of the best ways to judge whether your manuscript speaks to the same research community.

3. Prepare a complete scholarly manuscript

A forecasting paper should clearly explain the data-generating context, forecasting horizon, training and validation strategy, competing methods, error or performance measures, robustness considerations and limitations. Avoid information leakage, post-hoc model selection without disclosure and overclaiming performance from a single sample.

4. Follow the active submission route

The official series page offers a latest call for papers. Use that call or editor communication to determine the correct file format, deadlines, contributor information, declarations and submission address or system. A permanent journal-style portal should not be assumed.

Manuscript Preparation Checklist

What Happens After You Submit?

At a high level, authors should expect editorial screening followed by refereeing where the submission is suitable, because Emerald explicitly describes the series as blind refereed. The precise sequence, reviewer anonymity model, revision rounds and timetable should be taken from the active volume instructions.

If revisions are requested, respond point by point and distinguish between changes made, changes partially made and requests you cannot adopt. In forecasting work, reviewer questions often concern data quality, validation, benchmark selection, error metrics, robustness, interpretation and whether model improvements are practically meaningful rather than only statistically noticeable.

An official average review duration and acceptance rate were not found. Avoid planning a degree milestone or funding deadline around an assumed turnaround time unless the current editor has provided one.

Publication Ethics and Responsible Forecasting Research

Authors should follow Emerald’s current publishing ethics and contributor policies, along with any discipline-specific requirements for data, human participants or proprietary information. In addition to standard concerns such as originality, authorship, conflicts of interest and accurate citation, forecasting research has several recurring integrity risks.

• Do not report test-set performance from data that influenced model tuning without disclosure.
• Do not selectively present only the forecast windows or metrics that make one model look strongest.
• Explain transformations, exclusions and missing-data handling sufficiently for readers to understand the analysis.
• Do not fabricate data, references or results, and do not obscure material limitations.
• Obtain necessary permission for proprietary business data and avoid exposing confidential information.

Where generative AI or automated tools are used, follow Emerald’s current disclosure and authorship policies rather than assuming a universal rule. The researcher remains responsible for the integrity, accuracy and provenance of the submitted work.

Is It Appropriate for PhD Scholars and Early-Career Researchers?

Potentially, yes—especially for doctoral research in forecasting, business analytics, operations, marketing, management science or applied decision modelling. The series’ practitioner orientation can be valuable for work that combines methodological care with an operational problem.

The more important question is whether the publication type satisfies your academic requirement. Some institutions count Scopus-indexed book-series chapters; others explicitly require articles in journals, specify quartiles, require current coverage in a defined year or exclude certain source types. Ask your graduate school, supervisor or research office to confirm the rule in writing when the distinction matters.

How Contentxprtz Can Support Publication Readiness

Preparing for a series such as Advances in Business and Management Forecasting involves more than correcting grammar. The manuscript has to explain the forecasting problem clearly, present methods and validation transparently, make the business contribution visible, follow the current contributor instructions and maintain accurate references and ethical declarations.

Contentxprtz can provide ethical support through journal publication and manuscript-readiness services, academic editing, proofreading, reference consistency, manuscript assessment, formatting, cover-letter editing and reviewer-response editing. The research question, data, analysis, interpretation and final submission decisions remain the author’s responsibility.

Contentxprtz does not guarantee journal acceptance or publication. Editors, referees and the publisher make publication decisions independently.

Summary: Advances in Business and Management Forecasting

Advances in Business and Management Forecasting is an Emerald annual blind-refereed serial and Scopus book series centred on applied forecasting for business and management decisions. Its verified identity includes Series ISSN 1477-4070 and Scopus Source ID 21100258746. Its published work spans sales, marketing, operations, supply chain, health care, finance, insurance, service systems and other domains where forecasting supports decisions.

The series may suit researchers who can demonstrate both forecasting rigour and practical relevance. Before submitting, confirm the active call for papers, current Scopus status, any metric required by your institution, the contribution format and any fee or open-access arrangement. The strongest journal-selection decision is based on scope, source type, readership and manuscript fit—not indexing alone.

Conclusion: Choose the Series for Forecasting Fit, Not the Label Alone

Advances in Business and Management Forecasting has a distinctive identity: it is a recurring Emerald book series and blind-refereed research annual focused on forecasting applications rather than a conventional issue-based journal. That makes the source attractive for some applied forecasting manuscripts, but it also means authors should evaluate source type and volume-specific submission arrangements carefully.

If your research makes forecasting central to a genuine business or management decision, compare it with relevant published chapters and then work from the current Emerald call for papers. Confirm any university rule about Scopus source type before submission, and verify live metrics rather than relying on undated third-party pages. Careful alignment, transparent methods and clear scholarly communication can strengthen publication readiness, but they cannot guarantee an editorial outcome.