The Corporate Finance Research Journal focus at the International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) provides an interdisciplinary platform for research connecting corporate finance with computer science, information technology, artificial intelligence, data analytics, financial technology, digital platforms, and emerging technologies. IJSREAT is a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal dedicated to advancing research across Science, Engineering, and Technology.
Contemporary corporate finance increasingly depends on technology for financial analysis, forecasting, risk management, automation, digital transactions, enterprise systems, and data-driven decision-making. Researchers can develop corporate finance research that integrates financial concepts with computational techniques, intelligent systems, analytics, and technology-enabled business applications.
๐ผ Corporate Finance Research Journal for Digital Finance
A corporate finance research journal can support interdisciplinary studies involving financial decision-making, investment analysis, capital structure, financial risk, corporate performance, business analytics, fintech, artificial intelligence, and information systems. IJSREAT provides a technology-focused environment for research that demonstrates a meaningful connection with Science, Engineering, and Technology.
Researchers can examine computer science with corporate finance through machine learning, data science, predictive analytics, cloud computing, cybersecurity, automation, blockchain, and intelligent decision-support systems. These approaches can provide computational methods for addressing contemporary corporate finance challenges.
๐ Corporate Finance and Interdisciplinary Research Scope
IJSREAT welcomes high-quality original research papers, review articles, and technical notes contributing to Science, Engineering, and Technology. Corporate finance studies may be positioned within the journal when they include a substantial technological, computational, engineering, or interdisciplinary component.
- ๐ Computer Science and Information Technology
- ๐ Artificial Intelligence, Machine Learning, and Data Science
- ๐งก Corporate Financial Analytics and Predictive Modeling
- ๐ Financial Technology and Digital Finance
- โค๏ธ Financial Risk Analysis and Intelligent Decision Systems
- ๐ Enterprise Information Systems and Financial Automation
- ๐ Cybersecurity and Secure Financial Transactions
- ๐ Cloud Computing and Distributed Financial Systems
- ๐งก Blockchain and Digital Financial Applications
- ๐ Applied Mathematics, Statistics, and Computational Finance
The journal encourages interdisciplinary submissions that bridge financial theory and technology-driven practice, supporting collaboration among researchers, academicians, engineers, computer scientists, financial professionals, and industry practitioners.
โก Why Consider IJSREAT for Corporate Finance Research?
๐ Rapid Peer Review
IJSREAT states that its strict peer review process delivers decisions within 3 days while maintaining its stated quality standards. This supports researchers seeking fast publication for timely corporate finance and technology-oriented studies.
๐ Open Access Policy
Open-access publication makes accepted research freely available online, helping researchers, industry professionals, academics, and other readers access studies involving corporate finance, financial analytics, fintech, and digital financial systems.
โ๏ธ Efficient Publication Process
The streamlined workflow supports manuscript submission, editorial assessment, expert review, decision-making, and publication. Authors seeking rapid publication can track manuscript progress through the editorial management system.
๐ก๏ธ Plagiarism Protection
Rigorous plagiarism screening supports academic integrity and responsible scholarly publishing for corporate finance and interdisciplinary technology research.
๐ COPE Compliance
IJSREAT states that it follows COPE Best Practice Guidelines for publication ethics and responsible scholarly communication.
๐ Impact Beyond Academia
Technology-oriented corporate finance research can contribute to financial decision support, risk analysis, predictive modeling, digital transformation, secure transactions, financial automation, and intelligent enterprise systems.
๐ Google Scholar and Corporate Finance Research Visibility
Researchers looking for a corporate finance research journal often consider scholarly discoverability, peer review, publication ethics, accessibility, and publication workflow. IJSREAT lists Google Scholar among its indexing and abstracting services. Well-structured titles, abstracts, keywords, references, and author information can support the discoverability of scholarly work.
Corporate finance studies incorporating computer science, artificial intelligence, machine learning, data analytics, cybersecurity, blockchain, cloud computing, and financial technology can address emerging challenges in technology-enabled financial environments.
๐ Indexing and Abstracting Services
IJSREAT provides the following indexing and abstracting information as part of its journal profile:
- ๐ต Google Scholar
- ๐ข Scribd
- ๐ ISSUU
- ๐ฃ Elsevier Mendeley
- ๐ด EuroPub
- ๐ก DRJI
- ๐ต Academic Keys
- ๐ข Edocr
- ๐ I2OR
- ๐ฃ PDFSR
- ๐ด ResearchBIB
- ๐ก SSRN
- ๐ต WorldCAT
- ๐ข Exlibris (part of Clarivate)
- ๐ Thomson Reuters - Research ID
- ๐ฃ Semantic Scholar
- ๐ด Dimensions
- ๐ก PlumX
๐ Corporate Finance Research Publication Process
IJSREAT provides an author-oriented editorial workflow designed to support online submission, peer review, editorial decisions, and publication. The stated publication process includes:
- ๐ค Submit Online: 24/7 submission through the editorial management system.
- ๐ฉ Initial Response: Acknowledgment stated to be provided within 12 hours.
- ๐ฌ Expert Review: The stated workflow targets peer review within 2 days.
- ๐ Decision Notification: The stated process provides an acceptance or rejection decision within 3 days.
- ๐ Publication & Certificate: Instant PDF access and digital certificate after publication.
๐ฐ Low Cost Corporate Finance Publication
IJSREAT follows an open-access publication model in which accepted articles are freely available online. The journal states that a minimal article processing fee is charged after manuscript acceptance to support online publication and continuous journal operations.
| Author Category | Publication Option | Fee |
|---|---|---|
| Indian Authors | Without DOI | โน1200 + 18% GST |
| Indian Authors | With DOI | โน1400 + 18% GST |
| Other than Indian Authors | With DOI | $80 USD |
These stated charges apply to Case Reports, Original Articles, and Review Articles. Authors should confirm the applicable publication fee and current terms before submission.
๐ป Computer Science with Corporate Finance Research
The integration of computer science with corporate finance creates opportunities for research in financial data mining, predictive analytics, intelligent forecasting, enterprise financial systems, automated reporting, fraud detection, and decision-support technologies.
Researchers can investigate machine learning models for financial forecasting, artificial intelligence for risk assessment, data analytics for corporate performance evaluation, blockchain for secure financial transactions, and cloud-based systems for scalable financial applications. Such studies can provide technological solutions to contemporary corporate finance challenges.
๐ค Corporate Finance, AI, Data Analytics and FinTech
Artificial intelligence and data analytics are increasingly relevant to corporate finance research. Machine learning can be applied to financial forecasting, credit and risk analysis, anomaly detection, investment analysis, corporate performance prediction, and intelligent financial decision support.
FinTech research can further explore digital payments, blockchain applications, automated financial services, secure digital transactions, cloud-based financial platforms, and data-driven corporate financial systems. These interdisciplinary studies can connect financial research with computer science and technology.
๐ฅ๏ธ Advanced Editorial Management System
Authors submitting corporate finance research can use the IJSREAT editorial management system to manage manuscript-related activities through a centralized online platform.
- ๐ค Author Dashboard: Personalized account with submission history and status updates.
- ๐ Real-time Tracking: Monitor your manuscript's progress through every stage.
- ๐ Automated Documents: Instant generation of acceptance letters and copyright forms.
- โฌ๏ธ Easy Downloads: One-click access to certificates and published papers.
๐ UGC CARE and Google Scholar Considerations
Researchers often consider terms such as UGC CARE, Google Scholar, peer-reviewed journal, DOI, open access, and indexing when evaluating publication venues. IJSREAT lists Google Scholar among its indexing and abstracting services. Any current UGC CARE status or inclusion should be independently verified by authors using the latest official information from the relevant authorities before making a publication decision.
Authors searching for a corporate finance research journal should also evaluate journal scope, peer review procedures, publication ethics, indexing information, article processing charges, DOI options, and manuscript requirements before submission.
๐ฌ Contact IJSREAT for Corporate Finance Research
Authors and researchers can contact the editorial office for queries regarding manuscript scope, corporate finance research, technology-oriented studies, submission, peer review, publication charges, DOI options, and the suitability of interdisciplinary research.
๐ง Email: editorinchief@ijsreat.com
๐ Ready to Publish Your Corporate Finance Research?
Researchers seeking a corporate finance research journal for technology-oriented and interdisciplinary studies can submit manuscripts through the IJSREAT editorial management system. The online platform supports submission and manuscript tracking.
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