INTERNATIONAL CONFERENCE 2027

Track 1: Human-AI Collaboration, Cognition and Decision-Making

• Human cognition and AI-assisted decision-making
• Cognitive capital and organisational learning
• Human-AI collaboration and augmentation
• Critical thinking, creativity and innovation
• Behavioural intelligence and cognitive analytics

Track 2: Responsible AI, Ethics, Law and Governance

• Responsible and trustworthy AI
• Algorithmic accountability and auditability
• Explainable AI, transparency and contestability
• Data governance, privacy and cybersecurity
• AI regulation, compliance and institutional governance

Track 3: AI-Enabled Business Transformation and Innovation

• Generative AI and foundation models for business
• AI adoption in MSMEs, startups and established organisations
• AI-enabled business-model innovation
• Digital platforms, innovation ecosystems and intelligent enterprises
• Industry 5.0 and human-centred innovation

Track 4: Sustainable Business, ESG and Climate Intelligence

• AI for sustainable development and ESG analytics
• Climate intelligence and environmental decision-making
• Circular economy and green innovation
• Sustainable supply chains and responsible operations
• Long-term value creation and impact measurement

Track 5: Future of Work, Leadership and Human Capital

• AI and workforce transformation
• Leadership in AI-enabled organisations
• Future skills, reskilling and lifelong learning
• HR analytics and talent intelligence
• Organisational behaviour and employee wellbeing in the AI era

Track 6: AI Applications Across Business Functions

• Finance, banking and FinTech
• Marketing intelligence and customer analytics
• Operations, manufacturing and quality management
• Supply-chain resilience, logistics and procurement
• Entrepreneurship, sales, human resources and service management

Track 7: Public Policy, Education and Inclusive Society

• AI for public governance and digital public infrastructure
• Financial inclusion, digital equity and public value
• AI applications in healthcare, education and agriculture
• AI in higher and management education
• Research methods using generative AI
• Academic integrity, ethics and responsible scholarly communication

Scope Note: The subthemes are indicative rather than exhaustive. Original papers on other topics may be considered when their contribution is clearly aligned with the central conference theme.

Submission Files

Authors should submit:

1. Full Paper
2. Separate Title Page containing:

• Paper title
• Author name(s)
• Institutional affiliation(s)
• Email address(es)
• Contact number
• ORCID, where available
• Corresponding-author details

Abstract
Maximum 250 words, followed by four to six keywords.

Full Paper
Maximum 8,000 words, including:

• Abstract
• Tables
• Figures
• References

Formatting

• Font: Times New Roman
• Body text: 12 point
• Headings: 14 point
• Line spacing: 1.5
• Left margin: 1.5 inches
• Other margins: 1 inch

Reference Style
APA 7th Edition

File Format
Microsoft Word (.docx)
A PDF may also be requested for review consistency.

Originality and Ethics
The paper must be original, unpublished and not simultaneously submitted elsewhere.
Ethical approval, consent, funding and conflicts of interest must be disclosed where applicable.

Generative AI Disclosure
Authors are required to disclose any substantive use of AI or AI-assisted tools in preparing their submissions.
Authors remain fully responsible for the accuracy, originality, integrity and ethical compliance of their work.
AI tools cannot be listed as authors or co-authors.

Review Process
All eligible manuscripts will undergo double-blind peer review.
Acceptance of a paper for conference presentation does not guarantee publication in any journal or proceedings.

Preparing a Manuscript for Double-Blind Review
Authors should ensure that the manuscript submitted for review does not contain author names, institutional affiliations, acknowledgements or other information that could directly identify the authors. Author information should be provided separately through the submission system/title page.

Authors should:

• Access the conference submission portal using the link below.
• Sign in to an existing Microsoft CMT account or create a new account.
• Select Create New Submission.
• Enter the required paper and author information.
• Select the appropriate conference track.
• Upload the manuscript in the prescribed format.
• Review all submission details before completing the submission.

SUBMIT YOUR PAPER

CMT Submission Link: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FIMDRHCAI2027

Publication Opportunities

Authors of selected high-quality papers will have the opportunity to submit their manuscripts to Global Business Review (ISSN: 0972-1509, Online ISSN: 0973-0664) for consideration as regular submissions. All such manuscripts will be subject to the journal’s scope, editorial screening, standard peer-review process, and independent editorial decision.
Selected papers may also be considered for publication in IMDR’s Journal of Management Development and Research (ISSN 2349-0802), IMDR’s peer-reviewed, DOI-enabled academic journal, subject to the journal’s scope, editorial evaluation, peer-review process, and final editorial decision.
Additional publication opportunities in reputed peer-reviewed and indexed journals may also be announced as they are confirmed.
Acceptance or presentation of a paper at the conference does not guarantee publication in Global Business Review, JMDR, or any other journal.

Best Paper Awards

Outstanding research contributions will be recognised through Best Paper Awards, based on:

• Originality
• Methodological rigor
• Relevance
• Scholarly contribution

Registration fees are inclusive of GST.

Venue
Institute of Management Development and Research
DES Campus, Agharkar Road
Deccan Gymkhana, Pune – 411 004

Email:

conference@imdr.edu

Conference Chair:

• Dr. Suraj Kamble – +91 9173074297

Conference Convenor/Coordinators:

• Dr. Abhijeet Shivane +91 9850496170
• Dr. Sonal Patil +91 7666903398
• Dr. Pritha Ubgade +91 9978919265
• Mr. Hrishikesh Khaladkar +91 8149432374
• Mr. Pratik Potdar +91 9766377047