Scholars' Colloquium

Call for Submissions

XLRI Doctoral Colloquium 2026 invites submissions from:

PhD / FPM Scholars

Dedicated to doctoral candidates advancing research in their respective management domains.

Early Career Scholars

Assistant Professors and Lecturers who have completed their PhD / FPM in or after 2020.

Translating Scholarship into Practice: Call for the Industry Compendium

We invite conference participants to contribute to the Industry Compendium, a selective publication that foregrounds the practical implications of scholarly work presented at the conference. Contributions should distil research insights into frameworks, analytical notes, brief cases, or reflective commentaries that speak to industry and policy audiences. The compendium will be editorially curated and circulated among practitioners and institutional stakeholders, enabling sustained knowledge exchange and enhanced research impact beyond the conference.

Tracks for the Colloquium

1

Indian Culture and its Emerging Business Ecosystem

Focus Topics:

  • AI and Indian cultural contexts, Indian consumption, markets & AI-powered behavioural shifts
  • Indian economy & digital public infrastructure, start-up India & innovation ecosystems
  • AI for Bharat: inclusion, sustainability & social impact
  • Indian business traditions and the AI future

Focus Questions:

  • How can targeted AI-literacy training programs across India's youth population accelerate workforce readiness and harness India's demographic dividend @ 100?
  • To what extent can AI-based mandi-price prediction and demand forecasting reduce post-harvest losses and increase farmers' income in smallholder-dominated Indian states?
  • How effective are AI-powered, multilingual tutoring platforms in improving learning outcomes among rural students who study in regional languages compared to conventional classroom pedagogy?
  • To what extent can AI-based urban water-management and heat-risk prediction systems improve resilience and reduce climate-related vulnerabilities in Indian mid-sized cities?
  • How can the integration of UPI, ONDC, and Aadhaar data with machine learning enable new credit-scoring and risk-assessment business models — while preserving data privacy and user consent?
  • Can AI-driven credit scoring using alternative data sources significantly expand formal credit access for underserved micro-entrepreneurs and informal workers in India?
  • What design and deployment approaches are most effective for creating vernacular AI tools that are culturally relevant and widely adopted across rural and semi-urban India?
  • Can integrating AI-driven demand forecasting and supply-chain optimization tools significantly boost productivity and market reach for Indian MSMEs, especially in Tier-2 and Tier-3 cities?
  • In what ways can Indic-language Natural Language Processing (NLP) models contribute to documentary, preservation, and increased usage of underrepresented regional languages in India's digital media spaces?
2

Strategy, Leadership, and AI-Augmented Decision Systems

Focus Topics:

  • Corporate governance and accountability, business law and policy reform, political economy and democracy
  • Non-profit and social sector management, health, education, and welfare policy
  • MSMEs and inclusive innovation, family business ethics and governance
  • Social enterprise ecosystems, competitive advantage, alliances, corporate strategy
  • Resource-based view, capabilities, networks, strategy emergence, strategic surprises
  • Startup behavior, venture teams, funding, entrepreneurial strategy
  • Opportunity creation, effectuation, entrepreneurial ecosystems, global innovation
  • Novel venture phenomena, crowdfunding, digital entrepreneurship
  • Responsible and social entrepreneurship, rural and creative entrepreneurship

Focus Questions:

  • How do leaders determine levels of autonomy between human design teams and AI models—what AI does and what humans decide?
  • How can invisible AI systems enable strategic foresight without diminishing human control?
  • How can physical AI (robots, intelligent assistants) change leadership workflows and decision speed?
  • How should CIO organizations reimagine IT as an enabler of invisible, trust-based AI infrastructure?
  • How do governance frameworks ensure algorithmic accountability and strategic fairness?
  • How can leadership teams balance strategic innovation with algorithmic accountability in hybrid human–machine systems?
  • How do startups and academic spin-offs commercialize AI and robotics-based innovations responsibly?
  • How can AI incubators and accelerators (e.g., NVIDIA Inception, AWS Activate) enhance startup scalability?
  • How should IP frameworks adapt for co-created human–AI inventions and data ownership?
  • How can innovation ecosystems integrate IP protection and AI governance for deep-tech and physical AI ventures?
  • How do firms integrate compassionate AI initiatives into strategic objectives, stakeholder expectations, decision-making, and operations to achieve competitive and societal impact?
3

Marketing, Communication, and the Phygital Consumer

Focus Topics:

  • Ethical and sustainable marketing, conscious consumption
  • Service marketing, phygital storytelling and branding
  • Sustainable luxury consumption and tourism, cultural semiotics in branding
  • Corporate and intercultural communication, misinformation and fake news challenges
  • Firm-level, strategic interface, consumer behavior in organizations, sales teams, customer–firm interactions
  • Buyer behavior, market shaping, brand meaning, marketing strategy
  • Market trends, marketing phenomena, digital customer journeys
  • Networks, identity, and organizational discourse, power dynamics, digital communication

Focus Questions:

  • How do phygital product ecosystems (AR/VR, IoT, digital twins) transform customer journeys?
  • How does AI-driven emotional analytics enhance empathy in digital communication?
  • How can physical AI (interactive robots, smart stores, AR-enabled environments) create embodied brand experiences?
  • How can marketers mitigate AI bias in personalization algorithms and voice/chat interfaces?
  • How do marketing teams integrate domain knowledge into generative models for storytelling and prediction?
  • How can marketing systems embed compassionate and physical AI to enhance trust, inclusivity, and experiential immersion?
4

Product, Service, and Servitization Innovation in the AI Era

Focus Topics:

  • Designing experiences for empathy, service quality and co-creation
  • Human–tech interaction in services, experience design and customer journey
  • Service ethics, digital transformation in services
  • Emotional intelligence in service leadership sustainability in service ecosystems

Focus Questions:

  • How do digital twins and simulation platforms reduce uncertainty in design and operations?
  • How do AI-driven robotics and physical automation reshape production ecosystems?
  • How do firms decide releasing the products and IP to Open Source and to grow brands?
  • How do servitization strategies reconfigure team structures, customer value, and pricing models?
  • How can firms protect IP while sharing data in open digital platforms?
  • How can AI-driven product–service teams design phygital, autonomous systems that merge engineering precision with human creativity?
  • How can AI as a leveller force firms to innovate differently in commoditized environments?
  • How do AI-driven empathy, personalization, and emotional intelligence reshape service encounters, customer relationships, experience design, and service recovery in digital and phygital channels?
5

Governance, Risks and Compliance

Focus Topics:

  • Climate finance and policy innovation, Impact investing and ESG frameworks
  • Ethical banking and fintech innovation, Public finance and taxation ethics
  • MSME finance and inclusion, microfinance and empowerment, digital governance
  • Public–private partnerships for development, Green macroeconomics
  • Digital economy governance, corporate governance, top management compensation
  • Financial misconduct, risk, capital allocation, shareholder dynamics
  • Investor behavior, crowdfunding, fintech phenomena

Focus Questions:

  • How can AI-based risk systems ensure fairness in automated decision-making?
  • How can physical AI (IoT sensors, automated auditors) enhance real-time financial monitoring?
  • How do finance teams balance AI recommendations with human intuition?
  • How can RegTech and Explainable AI (XAI) reduce audit complexity and systemic risk?
  • How can firms ensure data trustworthiness—how do we believe what AI tells us?
  • How can finance and compliance teams co-develop autonomous but accountable AI systems for global transparency?
  • How can organizations integrate model drift, compliance failures, privacy breaches, and algorithmic bias into risk-adjusted ROI calculations for enterprise AI?
  • How can firms assess the ROI of AI investments made primarily to meet evolving regulatory requirements (e.g., AI governance laws, data protection frameworks)?
  • How can organizations build a credible business case for AI by quantifying both financial ROI and risk-adjusted value gains?
  • Do regulators fully understand what they are regulating—especially physical AI systems?
  • How can AI governance frameworks align innovation with ethical and legal norms?
  • How can federated governance manage cross-border AI risk (e.g., Asia vs EU frameworks)?
  • How do AI-based RegTech tools enhance financial and compliance oversight?
  • How do policy gaps affect AI development, IP rights, and innovation flows?
  • How can governments and regulators co-develop AI literacy and physical AI understanding to close policy–technology gaps?
  • How do AI-native ventures ensure ethical data usage and algorithmic transparency?
  • How can AI venture analytics improve risk assessment and portfolio management?
6

Operations, Supply Chain, and Intelligent Infrastructure

Focus Topics:

  • Supply chain relationships, service ops, process improvement
  • Queuing behavior, coordination, information flows
  • Global operations trends, digital operations, supply chain risk

Focus Questions:

  • How can AI-enabled logistics systems and robotic process automation enhance efficiency and resilience?
  • How do human–AI teams coordinate in predictive maintenance, scheduling, and quality control?
  • How do AI-powered physical systems ensure safety, transparency, and interoperability?
  • How can IoT and AI integration enable "invisible operations" through predictive insights?
  • How do AI platforms balance data sharing and IP protection in collaborative supply chains?
  • How can operations and infrastructure teams use physical AI and simulation intelligence to design adaptive, self-optimizing networks?
7

Sustainable Business, Net Zero, and Climate Innovation

Focus Topics:

  • Sustainable business models and ESG frameworks
  • Climate risk and circular economy, Pathways to carbon neutrality
  • Carbon accounting and disclosure, decarbonization
  • Green finance and regenerative ecosystems
  • Systems thinking and organizational ecology
  • Food security and agri-innovation, climate change
  • Responsible capitalism, CSR

Focus Questions:

  • How can AI sensors and physical monitoring systems support real-time carbon accounting?
  • How can reinforcement learning optimize energy and resource use in operations?
  • How do digital twins of cities and industries enable carbon reduction modeling?
  • How can AI analytics enhance circular economy transitions?
  • How can firms align data transparency and ethical AI with net-zero targets?
  • How can AI–human collaboration accelerate climate-positive, physically intelligent infrastructure systems?
8

Platform Business, Ecosystems, and Digital Economy Transformation

Focus Topics:

  • Platform governance and trust, data network effects and value creation
  • Ecosystem orchestration and partner alignment, ai-driven platform innovation
  • Monetization and pricing in multi-sided platforms
  • Platformization of traditional industries
  • Digital market regulation and policy
  • Blockchain and decentralized platform models
  • Gig work, platform labor, and workforce transformation

Focus Questions:

  • How do AI-driven platforms and blockchain ecosystems govern trust, data, and interoperability?
  • How do cross-firm AI systems share IP while maintaining competitive differentiation?
  • How can autonomous AI systems collaborate with human oversight teams in digital ecosystems?
  • How can physical AI enable cross-platform coordination (e.g., smart logistics, urban mobility)?
  • How can platform ecosystems design human–AI–physical intelligence architectures for transparency and shared value creation?
9

Human Resources, Organizational Behavior, and the Future of Work

Focus Topics:

  • Leadership, empathy, and emotional intelligence
  • Diversity, equity, and inclusion (DEI)
  • Employee well-being and psychological safety
  • Academic and institutional leadership
  • Organizational culture and transformation
  • Mindfulness and spirituality at work
  • Remote work and digital well-being
  • Gig economy ethics, Leadership pipelines and succession planning
  • Motivation, emotions, leadership, teams, identity, interpersonal dynamics
  • Recruitment, selection, performance appraisal, compensation, training
  • Talent management, employee lifecycle, skill development, learning
  • Training effectiveness, gig economy, remote work, DEI

Focus Questions:

  • How do AI copilots and physical AI assistants reshape collaboration and motivation?
  • How can AI feedback systems influence inclusion, fairness, and emotional safety?
  • How do AI-augmented workspaces (e.g., sensor-enabled offices, AR co-working) affect human experience?
  • How can curricula and corporate training prepare workers to coexist with autonomous systems?
  • How do we measure what humans truly learn in an AI-supported environment?
  • How can HR and learning leaders design AI–human work ecosystems that preserve dignity, purpose, and continuous learning?
  • How do AI technologies influence fairness, inclusion, and well-being in workplaces?
  • How do public policies, labor regulations, and governmental guidelines shape the ethical deployment and societal impact of AI in workplace practices?
10

Globalization, Development, and the Economics of Technology

Focus Topics:

  • Emerging markets and economic resilience
  • Trade policy and transnational governance
  • International ethics and diplomacy in business
  • Ethical globalization, Human rights in international business
  • Tech adoption, digital transformation, platform ecosystems
  • Algorithmic management, future of tech, digital disruption
  • Data governance

Focus Questions:

  • How can AI and robotics drive inclusive development across regions?
  • How can emerging economies build AI curricula to compete ethically and strategically?
  • How does AI as a leveller redefine global competitive advantage and trade?
  • How can AI and physical systems advance sustainable industrialization?
  • How can innovation diplomacy foster cross-border ethics and cooperation?
  • How can global teams and policymakers co-develop AI–human–physical innovation partnerships that enable equitable growth?
  • How do societal values, local traditions, and community norms shape the development, interpretation, and acceptance of compassionate AI?
  • How do cultural diversity impact on design choices, emotional resonance, and ethical expectations in digital and phygital contexts?
11

Business Education, Curriculum Design, and AI-Driven Learning Futures

Focus Topics:

  • Lifelong learning and reskilling; employability and education policy
  • Inclusive career ecosystems
  • Academic leadership and institutional transformation
  • Faculty development, mentorship, and scholarly identity
  • Research assessment, impact, and academic integrity
  • Technology, ai, and digital transformation in higher education
  • Globalization and ethics in management learning

Focus Questions:

  • How can Indian business schools and startups co-develop an AI-ready curriculum that integrates domain knowledge, digital fluency, and ethical reasoning?
  • How can educators ensure authentic learning and assessment in an age of generative AI, plagiarism, and automated problem-solving?
  • What knowledge and skills should humans still know, remember, and reason through when AI performs most analytical tasks?
  • How can institutions cultivate mindsets that grasp fundamentals deeply enough to innovate and push technological boundaries?
  • How can AI-driven learning platforms and analytics promote personalized, fair, and bias-aware education?
  • How can physical AI environments (labs, embodied simulations, tangible learning systems) enable experiential and responsible management learning?

Guidelines for Submission

Students/authors wishing to present at the Doctoral Colloquium are requested to submit a manuscript in APA format not exceeding 5,000 words excluding references, tables, and figures OR an extended abstract in APA format not exceeding 1,000-1,200 words excluding references on or before 30th April 2026 at dc@xlri.ac.in. Title page should include title of the paper, authors' names, affiliations, email addresses, contact details and track for review. Upon acceptance, the authors will notified no later than 15th June 2026. Up to 50 submissions will be accepted in the Doctoral Colloquium.

Manuscript Format (APA 7th edition):

The manuscripts should be prepared according to the APA 7th edition format. It should begin with an abstract of 150–250 words summarizing the purpose, methodology, findings, and key implications, along with 4–6 keywords. The introduction (approximately 600–800 words) should present the research problem, background, objectives, and significance. A literature review and theoretical framework (1,000–1,200 words) should synthesize prior research, identify gaps, and establish the conceptual basis for the study. The methodology section (800–1,000 words) should describe the research design, data collection, sampling, and analytical techniques used. The findings or results (800–1,000 words) should clearly present key outcomes supported by evidence, followed by a discussion and implications section (800–1,000 words) interpreting the results, highlighting theoretical and practical contributions, acknowledging limitations, and suggesting future research directions. The references section, formatted strictly in APA style, should include only works cited in the text.

Extended Abstract Format:

An extended abstract should succinctly present the core elements of the research. It should begin with an introduction that clearly states the research problem, its background, and the motivation or gap in existing literature. This should be followed by the purpose and objectives of the study, highlighting the specific research questions or hypotheses. The next section should outline the theoretical framework or conceptual foundation, briefly describing key constructs and relevant literature that inform the study. The methodology section should specify the research design, data sources, sampling, and analytical techniques employed. The findings or expected results should summarize the main insights, patterns, or contributions emerging from the study. The abstract should conclude with the implications and contributions—both theoretical and practical—emphasizing the study's relevance to business or management practice, policy, or future research. Where appropriate, include keywords (4–6) at the end.

Workshops

Academic career planning and mentoring

This workshop provides an in-depth exploration of strategies for building a sustainable and impactful academic career. Participants will engage with topics including research portfolio development, publication planning, grant acquisition, interdisciplinary collaboration, and professional networking. The session emphasizes aligning academic goals with institutional priorities, leveraging digital scholarship tools, and navigating the evolving global higher education landscape. Through interactive discussions and reflective exercises, attendees will learn how to design personalized career roadmaps, strengthen scholarly identity, and cultivate leadership in teaching, research, and service. Ideal for doctoral candidates and early-career academics aspiring to long-term academic excellence.

Revise and resubmit in leading academic journals

This workshop offers practical guidance on navigating the challenging "revise and resubmit" stage in the academic publishing process. Participants will learn effective strategies for interpreting reviewers' comments, crafting persuasive response letters, and strengthening argumentation, methodology, and clarity in manuscripts. The session emphasizes balancing critical self-assessment with scholarly confidence and understanding editorial expectations in high-impact journals. Through real-world examples and peer discussion, attendees will gain insights into revision planning, collaboration with co-authors, and maintaining academic integrity. Designed for doctoral researchers and early-career scholars aiming to transform revisions into successful publications in leading academic journals.

How to review a manuscript

This workshop equips participants with the critical skills needed to conduct high-quality, constructive peer reviews for academic journals. Participants will learn how to assess an article's originality, theoretical contribution, methodological rigor, and clarity of argument. The session covers ethical responsibilities in peer review, including confidentiality, impartiality, and respectful feedback. Through guided exercises and real-world examples, attendees will practice writing balanced review reports that provide actionable insights for authors and editors. Ideal for doctoral candidates and emerging scholars, this workshop strengthens analytical thinking and contributes to professional development as a credible and responsible academic reviewer.

Book writing

This workshop provides comprehensive guidance on planning, writing, and publishing a book. Participants will explore how to transform their research into a coherent, marketable manuscript, develop a strong proposal, and engage effectively with publishers. The session covers structuring chapters, maintaining narrative flow, and balancing scholarly rigor with readability. Attention is given to audience targeting, citation practices, and navigating editorial feedback. Through practical exercises and discussion, attendees will gain strategies for sustaining writing momentum and managing long-term projects. Ideal for early-career academics and doctoral researchers seeking to establish a scholarly voice through impactful book publication.

Academicians' wellbeing

This workshop focuses on promoting mental, emotional, and professional wellbeing among academicians in today's demanding research and teaching environments. Participants will explore strategies for managing workload, maintaining work–life balance, and fostering resilience in academia. The session highlights mindfulness practices, time management techniques, and approaches to prevent burnout while sustaining motivation and creativity. Through reflective exercises and peer discussion, attendees will learn to identify stress triggers, build supportive academic networks, and cultivate positive habits for sustainable productivity. Designed for faculty, researchers, and doctoral candidates, the workshop encourages holistic wellbeing as a foundation for long-term academic success and fulfillment.

Hands-on workshop for branding of an Academician

This interactive workshop empowers academicians to develop a strong professional identity and personal brand in the academic and research community. Participants will learn how to effectively communicate their expertise, research impact, and academic values across digital platforms, including academic websites, social media, and professional networks. The session covers visual identity, research storytelling, and strategic online presence management. Through hands-on activities, attendees will craft personal branding statements, optimize profiles, and align their scholarly reputation with institutional and global visibility goals. Designed for faculty and researchers, this workshop bridges academic credibility with modern visibility and influence in academia.

Workshop on academic identity

This workshop focuses on helping PhD scholars and early career researchers in business management understand and strengthen their academic identity. As emerging scholars navigate research choices, supervisory relationships, teaching responsibilities, and institutional expectations, their sense of scholarly identity becomes crucial for long-term career development. The session introduces key dimensions of academic identity—research, teaching, service, and professional presence—and guides participants in reflecting on their values, interests, and disciplinary positioning. Through interactive activities such as identity mapping, short writing exercises, and mentoring circles, participants learn how to articulate their scholarly voice, communicate their research identity, and manage identity tensions arising from publication pressures, interdisciplinary work, or evolving research interests. The workshop also emphasizes building a strategic digital presence and fostering supportive academic networks. By the end of the session, participants will have greater clarity and confidence in presenting themselves as developing scholars within the business management field.

Workshop on scholar-supervisor relationships

This workshop explores how PhD scholars and early career researchers can build effective, healthy, and productive relationships with their academic supervisors and vice versa. The scholar–supervisor relationship significantly shapes research progress, academic identity, well-being, and long-term career trajectories. The session provides a structured understanding of key aspects such as communication norms, expectations management, authorship practices, feedback processes, and boundary setting. Participants will engage in reflective exercises to identify their own needs, working styles, and challenges in supervision. Through interactive discussions and case-based scenarios, the workshop addresses common tension points—misaligned expectations, conflicting priorities, independence versus guidance, and emotional labour in supervision. Strategies for navigating power dynamics, fostering open dialogue, and cultivating professional trust are emphasized. The workshop also highlights how scholars can transition from dependency to autonomy while maintaining a constructive mentor–mentee relationship. By the end, participants gain practical tools to manage supervision proactively and develop resilient, collaborative academic partnerships.

Workshop on AI for Research Integrity

We invite PhD scholars and Early-Career Researchers to participate in a hands-on workshop on AI for Research Integrity, a timely exploration of how artificial intelligence is reshaping ethical and responsible research practices. As academic work becomes more complex and data-driven, ensuring accuracy, transparency, and credibility is more important than ever. This workshop will demonstrate how AI tools can support you at every stage of the research journey—from designing stronger studies and detecting methodological gaps to improving data quality, spotting anomalies, and maintaining clear audit trails. You will also learn how AI enhances manuscript integrity through advanced plagiarism checks, citation verification, stylistic analysis, and image forensics that identify manipulation with far greater precision than traditional methods. Beyond publication, we will discuss how journals increasingly use AI to screen submissions and support reviewers, and how you can align your work with these evolving standards. Equally important, the session will address responsible and ethical AI use, ensuring transparency and preventing overreliance. Whether you are preparing a thesis, conducting empirical research, or navigating early publications, this workshop will equip you with practical skills and future-ready tools to strengthen your scholarly practice and uphold the highest standards of research integrity.

Registration and Fees

CategoryRegistration FeeAccommodation & Food
Doctoral Scholars (India)INR 3,000 (by 30th June 2026)INR 1,500 per night
INR 4,500 (1st July 2026 onwards)
(limited scholarships available)
Doctoral Scholars (Outside India)USD 100 (by 30th June 2026)USD 50 per night
USD 150 (1st July 2026 onwards)
(limited scholarships available)
Early Career Scholars (India)INR 7,000 (by 30th June 2026)INR 2,500 per night
INR 8,500 (1st July 2026 onwards)
Early Career Scholars (Outside India)USD 250 (by 30th June 2026)USD 100 per night
USD 300 (1st July 2026 onwards)

Become a Volunteer

Volunteering in the Doctoral Colloquium is an excellent opportunity to engage actively with a diverse community of researchers, mentors, and academic leaders. Volunteers are integral to the success of the event, supporting both the organizational and intellectual experience of participants.

Key Responsibilities:

  • Assisting with participant registration and helpdesk coordination
  • Managing session logistics, including seating, timing, and speaker readiness
  • Providing technical support for presentations and online or hybrid participation
  • Coordinating with mentors, reviewers, and session chairs
  • Guiding delegates to venues, networking areas, and information points
  • Supporting documentation, note-taking, and report preparation
  • Managing photography, social media updates, and communication materials
  • Assisting in distribution of certificates, schedules, and resource materials

Those who are interested may apply by sending an email to dc@xlri.ac.in no later than 30th June 2026 highlighting the key activities to volunteer, evidence of relevant skills, and institutional affiliation. Selected volunteers will receive a certificate of appreciation.

Become a Reviewer

Scholars and faculty members are invited to serve as Reviewers for the Doctoral Colloquium. Reviewers play a vital role in supporting emerging researchers by providing constructive feedback on extended abstracts and research proposals submitted by pre-doctoral and doctoral participants.

Those who are interested may apply by sending an email to dc@xlri.ac.in no later than 30th March 2026 outlining their academic background, affiliation(s), research expertise, and reviewing experience. Reviewers will be matched with submissions aligned to their areas of specialization and are expected to provide insightful, developmental, and encouraging comments within the specified review period.

Participation as a reviewer not only contributes to the mentoring of future scholars but also provides a meaningful opportunity for academic networking and engagement. All reviewers will receive a Certificate of Acknowledgment.