Submissions

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Author Guidelines

For examples of the style and format of case studies that we consider to be ideal for the JBAI, please see these case studies published in the Harvard Business Review (HBR Store - Business Case Studies).

Authors are invited to make a submission to this journal. All submissions will be assessed by an editor to determine whether they meet the aims and scope of this journal. Those considered to be a good fit will be sent for peer review before determining whether they will be accepted or rejected.

Before making a submission, authors are responsible for obtaining permission to publish any material included with the submission, such as photos, documents and datasets. All authors identified on the submission must consent to be identified as an author. Where appropriate, research should be approved by an appropriate ethics committee in accordance with the legal requirements of the study's country.

An editor may desk reject a submission if it does not meet minimum standards of quality. Before submitting, please ensure that the study design and research argument are structured and articulated properly. The title should be concise and the abstract should be able to stand on its own. This will increase the likelihood of reviewers agreeing to review the paper. When you're satisfied that your submission meets this standard, please follow the checklist below to prepare your submission.

Article types

JBAI focuses on practical, real-world applications of artificial intelligence to solve business problems. These can be in any area of business, including product development, product management, business strategy, marketing, product design, sales, market research, business operations, compliance, human resources, leadership, financial forecasting, manufacturing and supply chain management. Articles that present real-world case studies, and the results of implementing AI-based solutions, are particularly welcomed. The following article types are preferred:

  • Case Studies
  • Commentaries
  • Letters to the Editor
  • Original Research

Submission requirements

  • Submissions must be in English, with clear, grammatically correct, and jargon-free language to ensure accessibility to a broad audience.
  • Use a standard font (e.g., Times New Roman, 12-point) and double-spacing.
  • Include a title that encapsulates the core message of your piece.
  • Authors should have their own identifying information removed from the manuscript file prior to submission.
  • Style guide: Harvard Style
  • Maximum word count: 6000 words (contact us if you have a proposal for a longer article)
  • Ensure all images are high-resolution and have appropriate permissions for use.

Submission Preparation Checklist

All submissions must meet the following requirements.

  • This submission meets the requirements outlined in the Author Guidelines.
  • All references have been checked for accuracy and completeness.
  • All tables and figures have been numbered and labeled.
  • Permission has been obtained to publish all photos, datasets and other material provided with this submission.
  • We welcome articles that may have already been published in other venues, so long as they meet the submission requirements.

Editorial and Peer Review Process

  1. Submission of Manuscript: Authors submit their manuscript to the journal. The submission should align with the journal's focus on the intersection of business and artificial intelligence.
  2. Initial Editorial Assessment: The editor-in-chief or an associate editor initially assesses the manuscript for its suitability, relevance to the journal’s scope, and adherence to submission guidelines. If it meets the initial criteria, it is sent for peer review.
  3. Selection of Reviewers: The editor selects expert reviewers who have significant knowledge in the relevant fields of business and artificial intelligence. These reviewers are typically scholars or practitioners with a track record of publications and research in the area.
  4. Blind Review Process: The journal will employ a double-blind review process, where both the authors and reviewers remain anonymous to each other. This ensures impartiality and objectivity in the review.
  5. Reviewers' Evaluation: Reviewers evaluate the manuscript based on originality, methodological rigor, clarity of presentation, and contribution to the field. They provide detailed feedback, suggestions for improvements, and a recommendation for the manuscript’s disposition (accept, revise and resubmit, or reject).
  6. Editorial Decision: Based on the reviewers’ feedback, the editor makes a decision. If revisions are required, the manuscript is returned to the authors with comments. The revised manuscript may undergo further rounds of review.
  7. Final Decision and Publication: Once the manuscript meets all requirements and standards, it is accepted for publication. The final step involves copy-editing, layout formatting, and eventually, publication in the journal.

Open access fees

Submission Fee: $150

Article Processing Charge (paid after acceptance): $3,500

Fast-Track Fee (optional, guarantees first decision in 15 days and publication immediately when accepted): $3,500

(Fast-Track Fee is refunded if article is not accepted. Fast-Track Fee is separate from and in addition to the Article Processing Charge.)

Case Studies

Case Studies should describe an actual, real-world implementation of AI to solve a business problem, and should include as many of the following elements as possible:

  1. Definition of the Business Problem
  2. Definition of the Solution
  3. How AI is Used in the Solution
  4. Expected Results
  5. Description of Implementation
  6. Actual Results
  7. Quantifiable Return on Investment (ROI)
  8. Broader Applicability and Future Potential
  9. Lessons Learned (Expected & Unexpected)

You are not required to specify the exact names of the companies and locations where the implementation occurred, however Case Studies that include this information are preferred. For examples of the style and format of a case study, please refer to the Harvard Business Review's catalog of case studies here: HBR Store - Business Case Studies

Commentaries

At JBAI, we welcome Commentaries that provide insightful, thought-provoking discussion on recent trends, developments, or specific articles published in our journal. These pieces should offer a unique perspective, critique, or analysis relevant to the intersection of business and artificial intelligence.

Content Guidelines:

  • Begin with a brief introduction that clearly outlines the focus of the Commentary.
  • If referencing a specific article published in JBAI, please provide a complete citation.
  • Present a coherent argument or analysis, supported by relevant literature or examples.
  • Conclude with a strong, summarizing statement or a call to action, as appropriate.
  • Limit references to essential sources only.

Original Research

  1. Scope and Relevance: Your manuscript should present original research that significantly contributes to the field of business and artificial intelligence. We are particularly interested in studies that explore the application of AI in business contexts, including but not limited to AI-driven decision-making, machine learning in marketing strategies, AI in operational efficiency, and ethical considerations of AI in business. The research should be relevant, timely, and provide a clear contribution to existing literature.

  2. Format and Structure: Manuscripts should be clearly structured with an abstract (no more than 250 words), introduction, methodology, results, discussion, and conclusion. The paper should follow a logical and coherent structure, making your research and findings accessible to a wide audience, including both academicians and practitioners in the field. Articles should typically be between 6,000 to 8,000 words, including references, tables, and figures. Please adhere to Harvard style for referencing and citations.

  3. Data and Methodology: We expect a high level of rigor in your research methodology. Clearly articulate your research design, data collection, and analysis procedures. If applicable, include information on ethical considerations and approvals. Where relevant, ensure that your paper includes a discussion on the implications of AI technologies in the business context, both at a theoretical and practical level.

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