The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, and multidisciplinary online journal dedicated to research across Science, Engineering, and Technology. Researchers looking for a social media business research journal can explore an interdisciplinary platform for studies connecting social media technologies, digital business, data analytics, artificial intelligence, information technology, and emerging technology applications.
Social media business research can examine digital platforms, customer engagement, social media analytics, online communities, digital marketing, consumer behavior, artificial intelligence, machine learning, business intelligence, and technology-enabled decision-making. IJSREAT promotes original research contributions, technological innovations, and fundamental advancements while encouraging research that connects academic knowledge with practical industry applications.
๐ฑ Social Media Business Research Journal for Digital Innovation
A social media business research journal provides a scholarly environment for investigating how social platforms and digital technologies influence business communication, customer relationships, marketing strategies, organizational performance, digital commerce, and data-driven decision-making.
IJSREAT was established by academicians, educationists, engineers, and industry professionals to provide a reputable platform for publishing innovative ideas and research findings. Its multidisciplinary orientation supports research connecting social media business studies with Computer Science, Information Technology, data science, artificial intelligence, communication technologies, and other emerging technology domains.
๐ Scope of Social Media, Business and Technology Research
IJSREAT welcomes high-quality original research papers, review articles, and technical notes contributing to Science, Engineering, and Technology. Relevant interdisciplinary areas for social media business research include:
- ๐ต Computer Science and Information Technology
- ๐ฃ Artificial Intelligence, Machine Learning, and Data Science
- ๐ข Social Media Analytics and Business Intelligence
- ๐ Digital Marketing and Online Consumer Behavior
- ๐ด Digital Commerce and Technology-Enabled Business Systems
- ๐ก Communication Technologies and Digital Platforms
- ๐ต Internet of Things, Automation, and Smart Technologies
- ๐ฃ Robotics and Intelligent Automation
- ๐ข Renewable Energy Systems and Sustainable Technologies
- ๐ Applied Physics, Chemistry, Mathematics, and Interdisciplinary Research
The journal encourages interdisciplinary submissions that bridge theory and practice across science and engineering. Social media business studies may therefore incorporate computational methods, data analytics, intelligent systems, software technologies, and technology-driven business applications.
๐ก Why Consider IJSREAT for Social Media Business Research?
โก Rapid Peer Review
IJSREAT states that its strict peer review process delivers decisions within 3 days. This stated workflow can support researchers seeking rapid publication of social media, business, technology, and interdisciplinary research.
๐ Open Access Policy
Immediate open access makes published research freely available online, supporting the dissemination of social media business research among researchers, academicians, technology professionals, industry practitioners, and other readers.
๐ฐ Low Cost Publication
Authors searching for a low cost social media business research journal can review the stated IJSREAT article processing charges. The applicable fee varies according to author location and DOI selection and is payable after manuscript acceptance.
๐ก๏ธ Plagiarism Protection
Rigorous screening supports academic integrity throughout the publication process. Social media business manuscripts should present original contributions, appropriate citations, transparent methodology, reliable evidence, and clearly documented findings.
โ๏ธ COPE Compliance
IJSREAT states that it follows COPE Best Practice Guidelines. Responsible authorship, originality, research integrity, and transparent scholarly communication are important considerations for social media, business, and technology research.
๐ Impact Beyond Academia
Social media business research can contribute to customer analytics, digital marketing strategy, online engagement, digital transformation, business intelligence, marketing automation, technology adoption, and data-driven organizational decision-making.
๐ Google Scholar and Social Media Business Research
Researchers evaluating a social media business research journal may consider peer review, open access, publication cost, DOI availability, publication workflow, and research discoverability. IJSREAT lists Google Scholar among its indexing and abstracting services. Authors should independently verify current indexing coverage and status when evaluating a publication venue.
Social media business research involving computer science with business and marketing can investigate artificial intelligence, machine learning, natural language processing, sentiment analysis, recommender systems, predictive analytics, social network analysis, customer data platforms, cloud computing, cybersecurity, and intelligent decision-support systems.
๐ Indexing and Abstracting Services
IJSREAT lists the following indexing and abstracting services and platforms:
โฑ๏ธ Fast Publication and Rapid Publication Process
IJSREAT provides a stated streamlined and author-friendly workflow for researchers submitting social media business and technology research. The publication process includes:
- ๐ Submit Online: 24/7 manuscript submission through the editorial management system.
- ๐ฉ Initial Response: Acknowledgment within 12 hours.
- ๐ Expert Review: Peer review within 2 days.
- ๐ข Decision Notification: Acceptance or rejection within 3 days.
- ๐ Publication & Certificate: Instant PDF access and digital certificate.
๐ต Low Cost Social Media Business Journal Publication
IJSREAT provides open-access publication with a stated article processing fee after manuscript acceptance. The supplied charges for case reports, original articles, and review articles are:
| 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 |
๐ป Computer Science with Social Media Business Research
Computer science with social media business research creates opportunities for interdisciplinary studies involving artificial intelligence, machine learning, data analytics, software engineering, natural language processing, cloud computing, cybersecurity, social network analysis, and digital platforms.
A social media business research journal manuscript may examine AI-powered social media analytics, sentiment analysis, predictive customer behavior, recommendation engines, social network structures, automated content systems, digital customer experiences, and data-driven business strategies.
๐ค Social Media, AI, Analytics and Digital Transformation
Modern social media business research increasingly intersects with artificial intelligence, machine learning, data science, business analytics, natural language processing, cloud computing, automation, and digital transformation. Research may investigate sentiment classification, customer segmentation, social listening, predictive analytics, personalized recommendations, automated engagement systems, influencer analytics, and data-driven marketing decisions.
Strong social media business research should define a clear research problem and contribution while presenting an appropriate methodology, dataset or experimental configuration, evaluation criteria, findings, limitations, and practical implications. Where relevant, studies can also address privacy, cybersecurity, ethical data use, scalability, interoperability, usability, and responsible technology adoption.
๐ฅ๏ธ Advanced Editorial Management System
IJSREAT provides an editorial management system designed to support authors throughout manuscript submission, peer review, and publication.
- ๐ต Author Dashboard: Personalized account with submission history and status updates.
- ๐ฃ Real-time Tracking: Monitor your manuscript through every stage.
- ๐ข Automated Documents: Instant generation of acceptance letters and copyright forms.
- ๐ Easy Downloads: One-click access to certificates and published papers.
๐ UGC CARE, Google Scholar and Social Media Business Research
Researchers searching for a social media business research journal may encounter terms such as UGC CARE, Google Scholar, peer-reviewed journal, low cost publication, fast publication, and DOI publication when evaluating potential venues. UGC CARE status or recognition should always be independently verified against current official information before relying on such a designation.
IJSREAT lists Google Scholar among its indexing and abstracting services and provides a peer-reviewed, open-access publication model focused on Science, Engineering, and Technology.
๐ง Contact IJSREAT for Social Media Business Research
Researchers preparing a social media business research journal manuscript can contact the IJSREAT editorial office for submission-related queries, manuscript guidance, and publication information.
๐ฉ Email: editorinchief@ijsreat.com
โจ Ready to Publish Your Social Media Business Research?
Prepare your original social media business research with a clearly defined objective, suitable methodology, reliable evidence, relevant references, and practical implications. If your study aligns with IJSREAT's Science, Engineering, and Technology scope, submit your manuscript through the online editorial management system.
Blog articles with this tag
No blogs found matching your search.