Artificial Intelligence Business Journal | IJSREAT Research

Artificial Intelligence Business Journal: Research on AI-Driven Innovation

Artificial intelligence is increasingly used in business applications such as forecasting, customer support, fraud detection, workflow automation, and decision-support systems. Research in this area examines how AI methods are designed, evaluated, and applied to organizational challenges, while considering data quality, reliability, privacy, transparency, and responsible use.

An artificial intelligence business journal paper can investigate technical developments in AI or study how AI systems affect business processes. Strong research clearly defines the problem, explains the method and data, evaluates results, and acknowledges limitations. For submissions to a science and technology journal, authors should also demonstrate a clear technical or interdisciplinary contribution.

📘 About IJSREAT Journal

The International Journal of Scientific Research in Engineering & Technology (IJSREAT), e-ISSN 2583-1240, describes itself as a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal focused on science, engineering, and technology.

IJSREAT was established by academicians, educationists, engineers, and industry professionals to provide a platform for original research, technological innovation, and fundamental advancements. The journal aims to connect academic research with practical applications across its stated subject areas.

🤖 Artificial Intelligence in Business: Research Topics

AI-related business research may focus on model development, system integration, decision support, organizational adoption, or the effects of automated tools. The following ideas can be refined into research questions suitable for different academic levels and disciplines.

• AI-based business forecasting: Machine-learning approaches for sales, demand, or workload prediction.
• Intelligent decision-support systems: AI tools that assist planning, resource allocation, or operational decisions.
• Natural language processing: Sentiment analysis, customer feedback classification, and automated document processing.
• AI-powered customer service: Evaluation of conversational systems, response quality, and service accessibility.
• Financial analytics: Machine learning for anomaly detection, financial forecasting, and risk analysis.
• Supply chain intelligence: AI applications in inventory planning, demand forecasting, and logistics optimization.
• Human resource technology: AI-supported workforce analytics, recruitment systems, and digital learning tools.
• Marketing analytics: Recommendation systems, customer segmentation, and campaign performance modelling.
• Responsible AI: Explainability, fairness assessment, data privacy, and governance of business AI systems.
• AI adoption: Organizational readiness, employee training, technology acceptance, and implementation challenges.

💻 AI Business Research and Computer Science

Research at the intersection of AI and business can connect with computer science, machine learning, data science, and information technology. Technical research may develop or evaluate algorithms, software architectures, data pipelines, or secure AI applications.

• Supervised and unsupervised learning for business datasets
• Explainable AI methods for transparent decision support
• Natural language processing for business documents and customer communications
• Big data frameworks for scalable analytics
• Cloud-based machine-learning deployment and model monitoring
• Privacy-preserving analytics and secure data processing
• AI-enabled anomaly detection in financial or operational systems
• Edge AI and IoT analytics for connected business operations

🎓 MBA Research Areas Related to Artificial Intelligence

MBA research often examines management decisions, organizational performance, customer needs, and business operations. AI may be studied as a technology application within these fields, provided the research question and methodology are clearly defined.

• Strategic management: AI adoption strategy, digital capabilities, and organizational change.
• Marketing management: Personalization, customer analytics, and AI-supported campaign planning.
• Financial management: AI-based forecasting, risk analytics, and automated financial workflows.
• Human resource management: AI-enabled HR systems, people analytics, and employee training.
• Operations management: Predictive maintenance, inventory forecasting, and process automation.
• Entrepreneurship: AI-enabled products, technology adoption in start-ups, and digital business models.
• Business analytics: Predictive modelling, business intelligence, and decision-support applications.
• Information systems: AI integration with ERP platforms, cloud services, and management information systems.
• Business ethics: Data governance, algorithmic transparency, privacy, and responsible AI use.

🔎 Is AI in Business Within the IJSREAT Scope?

IJSREAT’s supplied scope primarily covers science, engineering, and technology. General business administration and MBA subjects are not explicitly listed as standalone subject areas. A manuscript about AI in business may have a closer connection to the journal’s listed fields when it includes a technical or interdisciplinary contribution involving artificial intelligence, machine learning, data science, computer science, information systems, or technology-driven operations.

🧪 IJSREAT Journal Scope

According to the supplied journal information, IJSREAT welcomes original research papers, review articles, and technical notes in areas including:

• Electrical, Electronics, and Communication Engineering
• Computer Science and Information Technology
• Mechanical and Civil Engineering
• Chemical and Environmental Engineering
• Biomedical Engineering and Biotechnology
• Artificial Intelligence, Machine Learning, and Data Science
• Robotics, Automation, and Internet of Things
• Renewable Energy and Sustainability
• Materials Science and Nanotechnology
• Applied Physics, Chemistry, and Mathematics

🚀 IJSREAT Publication Features

⚡ Peer Review and Editorial Timelines

IJSREAT describes its editorial process as designed for timely communication. The journal states that it aims to acknowledge submissions within 12 hours, complete expert review within 2 days, and communicate a decision within 3 days. These are journal-stated targets, not guaranteed outcomes or guarantees of acceptance. Actual processing may depend on reviewer availability, manuscript requirements, and revisions.

🌐 Open-Access Publication

The journal describes its publication model as open access, making accepted articles available online without a reader subscription. Authors should review current publication terms and institutional requirements before submitting.

🛡️ Publication Ethics and Plagiarism Screening

IJSREAT states that it uses plagiarism screening and follows COPE Best Practice Guidelines. Authors should consult the journal’s current policies for information about originality, authorship, conflicts of interest, corrections, and research integrity.

📚 Indexing and Abstracting Information

IJSREAT lists the following platforms and services in its indexing and abstracting information:

• Google Scholar
• Scribd and ISSUU
• Elsevier Mendeley
• EuroPub and DRJI
• Academic Keys and Edocr
• I2OR, PDFSR, and ResearchBIB
• SSRN and WorldCat
• Ex Libris and Thomson Reuters Research ID
• Semantic Scholar, Dimensions, and PlumX

Indexing and abstracting information should be verified directly with the relevant services and the journal. Google Scholar visibility does not by itself establish UGC CARE listing or acceptance by a particular institution. Authors who require UGC CARE recognition should verify the journal’s current status through the applicable official source and their institution.

📝 Preparing an AI Business Research Paper

1. Define the research problem: Identify the business task or process being studied and explain why AI is relevant.
2. Choose the research approach: Select an appropriate model-development, evaluation, case-study, survey, or mixed-method design.
3. Describe the data: Explain data sources, sample characteristics, preprocessing, privacy protections, and limitations.
4. Evaluate the method: Report suitable performance measures, baselines, validation procedures, and limitations.
5. Discuss responsible use: Address explainability, fairness, security, privacy, and human oversight where relevant.
6. Prepare the manuscript: Include a clear abstract, introduction, methodology, results, discussion, conclusion, and references.
7. Check journal scope: Confirm that the paper’s technical or interdisciplinary contribution fits the journal’s stated subject areas.
8. Submit and track: Use the editorial system and respond to editorial or reviewer requests.

💰 Low-Cost Publication: Article Processing Charges

IJSREAT states that an article processing fee is charged after manuscript acceptance to support online publication and journal operations. The supplied fee schedule is:

• Indian authors, without DOI: INR 1,200 + 18% GST
• Indian authors, with DOI: INR 1,400 + 18% GST
• Authors outside India, with DOI: USD 80

Fees may change. Confirm the current amount, applicable taxes, DOI arrangements, payment instructions, and refund terms with the editorial office before making payment. When comparing a low-cost publication option, consider the journal’s scope, peer-review policies, publication terms, and your institution’s requirements alongside the fee.

🖥️ Editorial Management System

IJSREAT describes an online editorial system that provides authors with:

• Author dashboard: Access to submission history and status information.
• Progress tracking: Updates during the editorial process.
• Document management: Access to relevant acceptance and copyright documents when issued.
• Downloads: Access to available certificates and published papers.

❓ Frequently Asked Questions

What is an artificial intelligence business journal paper?

It is a scholarly study examining AI methods or applications in business settings, such as forecasting, customer analytics, financial analysis, decision-support systems, or process automation.

Can an MBA paper about AI in business be submitted to IJSREAT?

IJSREAT’s supplied scope does not explicitly list general MBA or business administration as a standalone subject. A manuscript with a clear contribution to AI, machine learning, computer science, data science, information systems, or technology-driven operations may have a closer connection to the journal’s scope. Confirm suitability with the editorial office.

Does IJSREAT offer fast publication?

The journal provides target timelines for acknowledgment, expert review, and decision notification. These targets do not guarantee acceptance or publication by a specific date. Allow time for editorial checks, reviewer feedback, and possible revisions.

Is IJSREAT listed in Google Scholar or UGC CARE?

IJSREAT lists Google Scholar among its indexing and abstracting services. The supplied information does not establish current UGC CARE status. Authors who require UGC CARE recognition should verify the journal’s status through the relevant official source and their institution.

How can I confirm the current publication fee?

Contact the editorial office to confirm the current fee, applicable taxes, DOI options, payment process, and publication terms before payment.

📩 Contact IJSREAT

For questions about manuscript suitability, AI-related research, publication timelines, or fees, contact the editorial office:

Email: editorinchief@ijsreat.com

📤 Submit Your Artificial Intelligence Business Research Paper

Prepare your manuscript, review the journal’s stated scope, and confirm any academic or institutional requirements before submission. If your research combines AI with computer science, data science, or information technology, contact the editorial office if you need clarification about subject fit.

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