About the Journal

Journal Identity

Journal of Intelligent Economic Management is an English-language, peer-reviewed, open access scholarly journal devoted to research at the intersection of economics, artificial intelligence, and management. The Journal is published by

Hong Kong Intelligent Science Research Institute (ISRI).

The Journal serves as an international forum for rigorous, original, and relevant scholarship that explores how intelligent technologies, computational methods, algorithmic systems, and data-driven decision frameworks are reshaping economic analysis, organizational governance, business strategy, finance, public administration, and managerial practice. The Journal welcomes work that advances theory, develops methods, contributes empirical insight, or offers substantial practical and policy relevance.

The Journal seeks submissions that are academically sound, methodologically transparent, analytically well supported, and clearly situated within the relevant scholarly literature. The Journal encourages interdisciplinary work, provided that it demonstrates conceptual clarity, disciplinary awareness, and a meaningful contribution to economics, management, artificial intelligence, or their integration. Manuscripts that lie outside the Journal’s scope, or that present only routine application of established methods without sufficient theoretical, empirical, methodological, managerial, or policy value, may be declined.

The Journal promotes the responsible development of intelligent economic and managerial knowledge through high standards of editorial practice, publication ethics, peer review, transparency, and scholarly communication.

Aims and Scope

The Journal focuses on the interdisciplinary integration of economics, artificial intelligence, and management. It is particularly interested in research that develops, evaluates, or applies intelligent methods to address significant analytical, organizational, industrial, financial, regulatory, or policy questions.

The Journal welcomes contributions that:

  • advance theoretical understanding in economics, management, intelligent systems, or their overlap;

  • develop methods, models, algorithms, or decision frameworks relevant to economic and managerial contexts;

  • provide robust empirical evidence with clear analytical or practical significance;

  • engage critically with emerging issues in digital transformation, intelligent governance, and AI-enabled decision systems;

  • improve understanding of the opportunities, risks, and institutional implications of intelligent technologies in economic and organizational settings.

Topics of interest include, but are not limited to:

  • intelligent economic analysis and forecasting;

  • artificial intelligence in management and strategic decision-making;

  • digital economy and platform governance;

  • intelligent finance, fintech, and risk management;

  • business analytics and data-driven managerial innovation;

  • machine learning, optimization, and computational methods for economic and managerial problems;

  • organizational intelligence and human-AI collaboration;

  • innovation management and entrepreneurship in the age of AI;

  • smart governance, public policy, and intelligent regulation;

  • digital transformation, industrial upgrading, and intelligent operations;

  • sustainable development, resource allocation, and intelligent management systems;

  • data governance, algorithmic accountability, and responsible AI in economic and organizational settings.

The Journal values work that is well contextualized, clearly argued, ethically conducted, and relevant to a scholarly audience interested in economics, artificial intelligence, management, and interdisciplinary innovation. Priority is given to submissions that demonstrate not only technical competence but also clear intellectual, managerial, institutional, or social significance.

Readership and Scholarly Positioning

The Journal is intended for researchers, academic practitioners, policy analysts, business scholars, economists, management scholars, data scientists, and decision-makers concerned with the evolving relationship among intelligent technologies, economic systems, and managerial practice.

The Journal aims to publish work of interest to:

  • scholars investigating AI-enabled economic and managerial systems;

  • researchers in digital economy, business analytics, and intelligent governance;

  • practitioners and policy communities seeking evidence-based insights;

  • institutions and organizations navigating intelligent transformation and algorithmic decision environments.

The Journal encourages submissions that combine disciplinary depth with interdisciplinary relevance. Papers are expected to remain accessible to an international scholarly readership without sacrificing technical precision or conceptual rigor.

Guide for Authors and Submission Overview

The Journal normally publishes:

  • Original Research Articles;

  • Review Articles;

  • Methodological Papers;

  • Case Studies;

  • Short Communications;

  • Perspectives and Commentaries;

  • Special Issue or Article Collection submissions, where applicable;

  • editorials, announcements, corrigenda, retractions, and related editorial content where appropriate.

Manuscripts submitted to the Journal are expected to be original, academically rigorous, and clearly written in professional English. Submission of a manuscript implies that the work is not under consideration elsewhere, that all authors approve the submission, and that all necessary permissions, approvals, and disclosures have been obtained.

Authors are expected to prepare manuscripts in a form suitable for scholarly review and publication. A full manuscript will normally include, where applicable:

  • title;

  • author names and affiliations;

  • corresponding author details;

  • abstract;

  • keywords;

  • main text;

  • acknowledgements;

  • funding statement;

  • competing interests statement;

  • author contributions statement where requested;

  • data availability statement where relevant;

  • declaration of generative AI use where disclosure is required;

  • references;

  • appendices or supplementary materials where applicable.

The corresponding author is responsible for communication with the Journal during submission, review, production, and post-publication stages. Authors are expected to ensure that references are accurate, figures and tables are appropriately prepared, supplementary files are clearly identified, and all metadata are complete at the time of submission.

Where relevant, authors are encouraged to provide links or references to data repositories, code repositories, preprints, supplementary material, and supporting documentation that improve transparency, reproducibility, and discoverability.

Manuscripts are submitted through the Journal’s designated submission route:

  • Submission System / Submission Method: [TBC: online submission system or submission email]

  • Submission Contact: yichuanyuan@163.com

Open Access Policy

The Journal is published as an open access journal. All articles made available by the Journal are intended to be accessible online without subscription barriers to readers worldwide. The Journal supports the broad dissemination of scholarly knowledge and seeks to facilitate discovery, reading, citation, educational use, and responsible reuse of published research in accordance with the Journal’s final licensing terms.

The Journal’s open access model is:

  • Open Access Model: [TBC: Gold Open Access / Diamond Open Access]

  • Article Processing Charge (APC): [TBC: No APC / APC applies]

  • Open Access License: [TBC: CC BY 4.0 / CC BY-NC 4.0 / other license]

The Journal’s open access arrangements are presented consistently across the journal homepage, author guidelines, submission system, publication agreements, and copyright notices. Publication-fee information, waiver arrangements where applicable, and the independence of editorial decision-making from any payment-related consideration form part of the Journal’s public publishing record.

The Journal’s open access framework provides that:

  • access to published articles will not depend on reader subscription status;

  • editorial assessment and peer review are conducted independently of APC status or payment arrangements;

  • reuse rights depend on the specific license adopted by the Journal;

  • third-party material included in published content may remain subject to separate permission requirements;

  • any later changes to the Journal’s open access model will be announced transparently.

Copyright and Licensing

Copyright, licensing, and permissions information is stated for all published articles. Unless otherwise indicated in the publication agreement, authors, readers, librarians, repositories, and third parties are governed by the Journal’s copyright and licensing notice with respect to reuse, distribution, storage, translation, adaptation, text and data mining, classroom use, and other forms of permitted or restricted use.

The Journal’s copyright and licensing record is as follows:

  • Copyright Holder: [TBC: Authors / Publisher / other arrangement]

  • License for Published Articles: [TBC: final license]

  • Permissions Contact: [TBC: permissions contact or email]

The Journal’s copyright and licensing terms address:

  • whether authors retain copyright or transfer specified rights;

  • what reuse is permitted under the adopted license;

  • whether attribution is required and in what form;

  • how third-party figures, tables, images, data, and other copyrighted material must be handled;

  • whether commercial reuse, derivatives, translations, or adaptations are allowed under the selected license.

Authors are responsible for obtaining permission to reproduce third-party copyrighted material where required and for ensuring that all borrowed content is properly acknowledged. Material not covered by the article’s general license is identified in the article version or credit line.

Publication Frequency and Issue Information

The Journal’s publication schedule is as follows:

  • Publication Frequency: [TBC: Monthly / Bimonthly / Quarterly / Semiannual / Annual]

  • Year Established: [TBC: year established]

  • Current Issue Format: [TBC: Volume X, Issue Y, Month Year]

  • Journal Language: English

Peer Review and Editorial Process

The Journal is committed to a fair, rigorous, timely, and confidential editorial process designed to support research quality, editorial independence, and scholarly integrity. Peer review is intended not only to assist editorial decision-making, but also to help authors improve the clarity, quality, transparency, and significance of their work.

Submitted manuscripts normally undergo the following stages:

  1. an initial editorial assessment for scope, relevance, quality, originality, completeness, and policy compliance;

  2. editorial screening for basic suitability, including ethical and procedural readiness;

  3. external peer review by qualified independent reviewers where the manuscript is considered suitable for full evaluation;

  4. editorial consideration of reviewer reports, author responses, and any revised files;

  5. a final editorial decision.

The Journal currently intends to operate a double-anonymous peer review model unless otherwise announced in its formal peer review policy. Under this model, the identities of authors and reviewers are concealed from one another during external review to the extent reasonably practicable. Authors are expected to prepare manuscripts in a form appropriate for anonymized review. Reviewers are expected not to attempt to identify authors or use confidential review materials for any personal or professional advantage.

Manuscripts sent for external review are normally evaluated by at least two independent reviewers selected on the basis of subject expertise, methodological competence, scholarly experience, availability, and the absence of evident conflicts of interest. The Journal may consider author-suggested reviewers, but is under no obligation to invite them and may decline such suggestions if independence, expertise, identity, or impartiality is not sufficiently clear.

The initial editorial assessment may consider whether a submission:

  • falls within the aims and scope of the Journal;

  • offers sufficient originality, relevance, and scholarly contribution;

  • meets basic standards of academic presentation and clarity;

  • includes necessary disclosures regarding authorship, funding, competing interests, data availability, and ethics approval where relevant;

  • is suitable for external review.

The Journal may reject manuscripts without external review where submissions are clearly out of scope, lack sufficient contribution, show substantial methodological or conceptual weakness, fail to meet policy requirements, or raise serious concerns regarding originality, ethics, integrity, or review readiness.

Reviewers assess matters such as:

  • originality and novelty;

  • significance and relevance to the Journal’s fields;

  • clarity of research question and contribution;

  • theoretical grounding and literature engagement;

  • appropriateness and rigor of methods;

  • validity of analysis and interpretation;

  • transparency and reproducibility where applicable;

  • ethical soundness and policy compliance;

  • clarity of presentation, structure, and argument;

  • practical, managerial, or policy relevance where appropriate.

Reviewer recommendations are advisory. Final decisions rest with the responsible editor or Editor-in-Chief. Depending on the review record and editorial assessment, the Journal may issue decisions such as acceptance, minor revision, major revision, reject with invitation to resubmit, or rejection.

Where revision is invited, authors submit a revised manuscript and a clear point-by-point response to reviewer and editor comments. Revised submissions are evaluated either by the handling editor alone or by one or more reviewers, depending on the significance of the revisions and the issues raised during review.

The Journal expects confidentiality throughout peer review. Manuscripts, review reports, editorial comments, and internal correspondence are treated as confidential editorial materials. Reviewers and editors must not distribute, upload, disclose, or exploit unpublished manuscript content without authorization. To protect confidentiality and authors’ rights, reviewers and editors do not input confidential manuscript material into public generative AI systems or other external tools not expressly authorized by the Journal.

Editors are expected to act fairly, independently, and without discrimination. Editors must avoid conflicts of interest and must not handle manuscripts in which they have a personal, professional, financial, or institutional conflict. Where such a conflict exists, the manuscript is reassigned for independent handling.

Submissions to Special Issues or Article Collections are subject to the same general peer review and publication ethics standards as regular submissions. Guest Editors may assist with the review process, but the Journal retains oversight and final editorial responsibility.

The Journal provides a process for appeals and complaints in accordance with its peer review and ethics procedures. Appeals are submitted to the Editorial Office on reasoned and evidence-based grounds. Only one formal appeal per submission is normally considered.

Publication Ethics and Research Integrity

The Journal is committed to maintaining high standards of publication ethics, editorial integrity, and responsible scholarly communication. Authors, reviewers, editors, guest editors, editorial board members, and the publisher are expected to act honestly, fairly, transparently, and professionally throughout submission, review, publication, and post-publication handling.

The Journal expects submitted work to be original, accurate, and appropriately documented. The Journal does not permit plagiarism, close unattributed paraphrasing, undisclosed duplicate submission, redundant publication, fabricated or falsified data, misleading manipulation of evidence, fake or purchased authorship, peer review manipulation, undeclared conflicts of interest, or other forms of publication malpractice.

The Journal expects transparency regarding:

  • authorship and contributorship;

  • competing interests;

  • funding sources and the role of funders;

  • data availability and underlying materials where applicable;

  • research ethics approval and informed consent where relevant;

  • permissions for third-party material;

  • use of generative AI or AI-assisted tools in manuscript preparation where disclosure is required.

Authorship is limited to those who have made substantial scholarly contributions to the work and who accept responsibility for its content. One author is designated as the corresponding author. Requests to add, remove, or reorder authors after submission are justified, documented, and handled in accordance with the Journal’s authorship policy.

Where research involves human participants, personal data, interviews, surveys, employees, managers, organizations, confidential business information, or other ethically sensitive material, authors are required to ensure that the work complied with applicable ethical, legal, and institutional requirements. Where relevant, submissions state whether ethics approval was obtained, whether informed consent was obtained, and how confidentiality and privacy were protected.

The Journal may use similarity screening, metadata review, authorship verification, reviewer feedback, reference checks, image or figure assessment, and other proportionate editorial methods to evaluate compliance with journal policies. Where concerns arise, the Journal may request original data, source files, ethics documentation, permissions, authorship confirmation, funding clarification, or other supporting materials.

The Journal reserves the right to investigate concerns relating to research integrity, publication ethics, authorship, conflicts of interest, data reliability, image integrity, editorial handling, peer review, and post-publication trustworthiness. Concerns may be raised before review, during review, after acceptance, or after publication, and may originate from authors, reviewers, readers, editors, institutions, or third parties.

Editorial action may include:

  • clarification or correction requests;

  • suspension of editorial consideration while concerns are examined;

  • rejection of the manuscript;

  • publication of a correction;

  • publication of an expression of concern;

  • retraction of a published article;

  • removal or restricted access where legally required;

  • notification to institutions, funders, or other relevant bodies where appropriate.

The Journal distinguishes between editorial appeals, which challenge a decision on academic or procedural grounds, and complaints, which concern behavior, delay, bias, ethics handling, or policy application. Both are made in writing and supported by specific detail.

The Journal also expects reviewers and editors to preserve confidentiality, declare conflicts of interest, avoid misuse of unpublished material, and refrain from delegating scholarly judgment to unauthorized AI or automated systems. Concerns relating to misconduct, complaints, corrections, retractions, appeals, and post-publication reliability are handled within the Journal’s editorial and ethical framework as described on this page.

Privacy and Data Protection

The Journal recognizes the importance of privacy, confidentiality, and responsible handling of personal data in connection with its website, manuscript submission, peer review, editorial administration, publication, archiving, and related services.

Personal information may be collected and processed for purposes such as:

  • manuscript submission and editorial handling;

  • peer review administration;

  • communication with authors, reviewers, editors, and readers;

  • production, publication, dissemination, and archiving of accepted articles;

  • website administration, analytics, security, and service improvement;

  • recordkeeping, policy compliance, and research integrity review where necessary.

Depending on the role of the individual and the relevant workflow, the Journal may process information such as names, affiliations, email addresses, institutional details, author and reviewer metadata, manuscript files, reviewer reports, editorial decisions, publication metadata, and technical access information associated with website or system use.

The Journal may collect personal data:

  • directly from users when they submit manuscripts, create accounts, agree to review, correspond with the Editorial Office, or otherwise interact with the Journal;

  • through editorial and publication workflows, including peer review and production records;

  • automatically through website logs, session tools, security systems, and related technical processes;

  • from trusted third-party systems or professional sources where relevant to manuscript handling, identity verification, indexing, or journal operations.

Personal data may be used to:

  • operate manuscript submission and review systems;

  • assign editors and reviewers;

  • communicate decisions, revisions, and publication updates;

  • prepare accepted articles for publication and metadata dissemination;

  • manage conflicts of interest, complaints, appeals, and integrity investigations;

  • maintain secure, functional, and accountable journal services.

Personal data may be shared, where necessary, with authorized editors, editorial staff, reviewers, publishing personnel, hosting or workflow providers, typesetting or production services, metadata registration services, indexing services, archiving or preservation providers, integrity-screening tools, legal or institutional authorities where required, and other operational partners acting in support of legitimate journal functions.

Where the Journal serves an international academic community or uses technical services in multiple jurisdictions, personal data may be processed or stored across borders. The Journal takes reasonable steps to ensure appropriate safeguards and responsible operational handling.

The Journal treats manuscript files, reviewer reports, editorial correspondence, and related records as confidential, except where disclosure is necessary for journal operations, publication, investigation, or legal compliance. Reviewer identities are protected in accordance with the Journal’s peer review model, subject to applicable policy and law.

The Journal may use cookies, server logs, local storage, or similar technologies for essential website operation, session management, security, performance monitoring, and service improvement. Non-essential cookies or named third-party analytics tools, where used, are identified in the Journal’s privacy notice.

Personal data are retained only for as long as reasonably necessary for journal operations, legal compliance, editorial continuity, audit, appeals, integrity review, and preservation of the scholarly record. Certain information, including publication metadata and article-related records, forms part of the permanent scholarly record.

Subject to applicable law, users may have rights relating to access, correction, deletion, restriction, objection, portability, or withdrawal of consent in certain circumstances. These rights may be limited where retention is necessary for editorial, legal, ethical, archival, or scholarly-record purposes.

Complaints, Appeals, Corrections, and Retractions

The Journal maintains procedures for handling editorial appeals, complaints, corrections, expressions of concern, retractions, and other post-publication matters. Appeals may be submitted where an author believes that a material misunderstanding, procedural irregularity, or significant evaluative error affected an editorial decision. Complaints may be submitted regarding editorial conduct, peer review, delay, bias, ethics handling, or related matters.

The Journal may issue:

  • corrections where part of a publication is inaccurate but the overall work remains substantially reliable;

  • expressions of concern where serious questions exist but the evidence is inconclusive or an investigation is pending;

  • retractions where the findings are unreliable, a serious ethical breach has occurred, or the publication should not remain part of the trusted scholarly record;

  • removal or restricted access where legal, privacy, or safety considerations require exceptional action.

Post-publication concerns may be raised by authors, readers, reviewers, editors, institutions, or other parties. The Journal may request clarification, review underlying materials, consult editors or external advisers, and publish an editorial outcome proportionate to the evidence available.

Sponsorship, Ownership, and Editorial Independence

The Journal is published by IntelliScience Open Press (ISOP) and supported by Intelligent Science Research Institute (ISRI).

  • Publisher: IntelliScience Open Press (ISOP)

  • Supporting Institution / Sponsor: Intelligent Science Research Institute (ISRI)

  • Editorial Office: Journal of Intelligent Economic Management

The Journal is committed to maintaining editorial independence. Editorial decisions are based on scholarly merit, methodological rigor, relevance, originality, integrity, and policy compliance, and are not influenced by commercial interests, sponsorship considerations, institutional pressure, or personal relationships.

Any sponsorship, institutional support, or external collaboration relevant to the operation of the Journal is disclosed transparently on the Journal website and, where appropriate, in relation to specific journal activities, article collections, or special issues. The Journal does not make misleading claims about its ownership, management, editorial structure, indexing, metrics, partnerships, or affiliations.

Archiving and Digital Preservation

The Journal recognizes the importance of long-term preservation, reliable access, and continuity of the scholarly record. The Journal maintains or develops an archiving and digital preservation arrangement appropriate to its publishing model and technical infrastructure.

The Journal’s digital preservation arrangement is:

  • Archiving / Preservation Service: [TBC: LOCKSS / CLOCKSS / Portico / Institutional Repository / other arrangement]

  • Current Status: [TBC: Active / Planned / Under discussion]

If the Journal participates in a formal preservation service, the name of the service, the nature of participation, and the status of implementation are stated accurately. No preservation, indexing, or database relationship is claimed unless it has been formally established. If preservation is currently planned rather than active, that status is stated transparently.

The Journal may also preserve publication records through publisher systems, institutional arrangements, repository deposits, DOI-linked metadata services, or other lawful and technically appropriate means, provided that such arrangements are described accurately.

Abstracting, Indexing, and Visibility

Information concerning abstracting, indexing, discoverability, DOI registration, and metadata dissemination is stated transparently and accurately.

  • Abstracting and Indexing: [TBC: abstracting and indexing services]

  • DOI Registration Agency: [TBC: DOI registration agency]

  • Repository or Metadata Services: [TBC: repository or metadata services]

The Journal does not claim inclusion in any indexing, abstracting, ranking, or preservation service unless that relationship has been formally confirmed.

Publication Information

  • ISSN (Print): [TBC: print ISSN]

  • ISSN (Online): [TBC: online ISSN]

  • Website: [TBC: journal website]

  • Current Publication Status: [TBC: Launching / Active]

If the Journal publishes online only, the applicable eISSN or online ISSN is displayed once assigned. If both print and online editions are offered, the corresponding identifiers are listed separately and consistently across the journal website, metadata, and front matter.

History of the Journal

The Journal was established to provide a dedicated scholarly venue for research addressing the growing convergence of economic analysis, intelligent technologies, and management science. As digital platforms, algorithmic systems, intelligent decision support, large-scale data analysis, and AI-enabled governance continue to reshape markets, organizations, institutions, and policy environments, the Journal aims to support academic dialogue, methodological development, and informed practice in this evolving interdisciplinary field.

The Journal is intended to respond to a need for a platform that does not treat economics, management, and intelligent systems as isolated domains. Instead, it seeks to encourage research that examines their interaction in a theoretically grounded, methodologically robust, and practically meaningful way.

The Journal’s founding history, editorial development, publication milestones, and institutional evolution form part of its ongoing public record.

Contact Information

Journal of Intelligent Economic Management  Intelligent Science Research Institute (ISRI) Room 602, 6/F, Kai Yu Commercial Building, No. 2C Argyle Street, Mong Kok, Kowloon, Hong Kong

Tel:   00852-53008243

Email:  jiem@isri-science.org

Information for Authors, Reviewers, and Readers

This page presents the Journal’s principal public information for authors, reviewers, readers, librarians, institutions, and other users, including scope, article types, submission expectations, open access arrangements, copyright and licensing information, peer review, ethics, privacy, editorial independence, archiving, indexing status, and contact details.

Questions regarding submissions, editorial matters, ethics, privacy, publication updates, or other journal operations may be directed to the Journal using the contact information listed above.