International Journal of Generative Artificial Intelligence in Business
- Editor in Chief
- Prof. Angappa Gunasekaran
- ISSN online
- 2977-7887
- ISSN print
- 2977-7879
- 4 issues per year
IJGAIB offers a leading interdisciplinary platform dedicated to exploring the transformative impact of generative AI across business functions. The journal addresses a critical gap in research on GenAI's strategic, operational, ethical and societal implications in areas such as marketing, finance, supply chain, human resources, entrepreneurship and strategy. IJGAIB aims to inform scholarship, practice and policy, establishing itself as a timely, innovative and globally relevant voice in the evolving AI-business landscape.
Topics covered include
- Innovation in business models enabled by generative AI (GenAI)
- Enhancing competitive advantage through GenAI applications
- GenAI-driven personalisation in marketing and customer engagement
- GenAI applications in financial forecasting, analysis and fraud detection
- Automation of operational processes through intelligent GenAI systems
- Improving supply chain visibility and forecasting using GenAI
- Streamlining talent acquisition and recruitment through GenAI technologies
- Leveraging GenAI for workforce training and professional development
- GenAI-supported development of entrepreneurial ventures and business planning
- User-friendly interfaces and prompt engineering for interacting with GenAI systems
- Enhancing decision-making with interpretable and explainable GenAI models
- Addressing fairness, bias and transparency in GenAI systems
- Managing ethical, regulatory and privacy concerns in GenAI applications
- Incorporating GenAI tools into business and management education
- Enhancing learning through GenAI-powered simulations and experiential methods
Objectives
IJGAIB aims to provide a rigorous, peer-reviewed platform for cutting-edge research, theoretical development and practical applications of generative artificial intelligence (GenAI) across the entire spectrum of business functions and industries. The journal seeks to advance the understanding of how GenAI reshapes business models, strategy, innovation, decision-making, operations, marketing, finance, HR, supply chains and entrepreneurship.
The journal also encourages interdisciplinary submissions that examine the social, ethical, regulatory and educational implications of GenAI in the business world.
The emergence of tools such as ChatGPT, DALL·E, GitHub Copilot and other GenAI models has profoundly impacted how businesses operate. However, there is currently no dedicated academic outlet focusing solely on generative AI's strategic, operational and ethical impact in business contexts. IJGAIB will fill this void, offering
- a specialised outlet for scholars and practitioners
- case studies and applied research on real-world GenAI deployment
- interdisciplinary insights bridging technology, strategy and management
- a timely contribution to the rapidly evolving discourse on AI and business
IJGAIB aspires to become the leading journal at the intersection of generative AI and business, shaping both theory and practice.
Readership
IJGAIB's readership includes academic researchers in AI, business and management; business and technology practitioners; data scientists and AI developers; policy makers and ethics scholars; graduate students and educators in business and AI.
Contents
The journal publishes research articles (quantitative, qualitative and mixed methods); conceptual and theoretical papers; practitioner insights and case studies; review articles and meta-analyses; short communications and technical notes; book reviews and editorial commentaries.
Editor in Chief
- Gunasekaran, Angappa, Penn State Harrisburg, USA
(an.gunasekarangmail.com)
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
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