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Introduction
Generative and Agentic AI are no longer futuristic concepts—they are actively transforming how businesses operate, make decisions, and create value. These technologies enable autonomy, adaptability, and continuous learning, offering unprecedented opportunities for efficiency and innovation across industries. At the same time, they introduce significant challenges around ethics, governance, and human oversight.
This Special Issue aims to bring together cutting-edge research that examines the organizational, technical, and societal implications of these technologies. We seek contributions that explore responsible adoption, governance frameworks, and strategies for harmonizing human and AI capabilities in dynamic business environments.
Agentic AI goes beyond traditional automation, functioning as “digital co-workers” capable of proactive decision-making, negotiation, and collaboration. Combined with Generative AI, these systems are reshaping workflows, marketing strategies, and industrial ecosystems through technologies such as digital twins and multimodal orchestration frameworks. Understanding these shifts is critical for designing governance models that ensure transparency, accountability, and trust while mitigating risks like bias, privacy breaches, and ethical misalignment.
List of Topic Areas
- Conceptual and empirical frameworks for understanding agentic AI’s integration into socio-technical systems
- Human–AI collaboration and autonomy: balancing efficiency with risk management
- Governance frameworks, ethical alignment, and stakeholder trust in agentic AI
- Digital twin and GAI/Agentic AI innovations in manufacturing, logistics, and services
- AI in marketing: inclusive healthcare using AI, bias detection in healthcare, personalized treatment planning
- GAI in marketing: segmentation, targeting, and synthetic consumer applications
- GAI in finance: personalization in finance, ESG reporting and sustainability initiatives
- GAI in organizations: future of work and role of GenAI
- Risk management in GAI-enabled decision-making
- Bias mitigation, transparency, and auditability in autonomous systems
- GAI in education: implications, challenges, and the road ahead
Submission Information
Submissions are made using ScholarOne Manuscripts. Registration and access are available here:
Author guidelines must be strictly followed. Please see:
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”.
We welcome original, unpublished work employing qualitative, quantitative, mixed-method, or design science approaches. Submissions should demonstrate methodological rigor and offer clear implications for research, practice, and policy. Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.
Key Dates
Opening date for manuscript submissions: 15 December 2025
Closing date for manuscript submissions: 1 July 2026
Guest Editors
Dr. Parijat Upadhyay
Prof. Neena Pandey
Dr. Baidyanath Biswas
Prof. Mohammad Alamgir Hossain
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