Call for Chapters: From Linear to Circular Business Models – AI-Driven Sustainable Growth in Emerging Markets (Palgrave Macmillan, Scopus-Indexed)
Published in Social Sciences, Sustainability, and Business & Management
Emerging markets face a unique challenge: how to pursue economic growth while avoiding the environmental costs of linear "take-make-dispose" models. At the same time, Artificial Intelligence is opening up remarkable new possibilities for resource efficiency, waste reduction, and circular value creation. Our forthcoming book, "From Linear to Circular Business Models: AI-Driven Sustainable Growth in Emerging Markets", brings these two conversations together for the first time in a single comprehensive volume.
What is this book about?
This edited book, published by Palgrave Macmillan (Springer Nature) and Scopus-indexed, sits at the intersection of AI innovation, circular economic principles, and sustainable development in emerging economies. It integrates insights from business management, environmental sustainability, information technology, development economics, and public policy — combining rigorous theoretical frameworks with real-world case studies, implementation strategies, and policy recommendations. The book directly engages multiple UN Sustainable Development Goals, including SDG 9, SDG 12, SDG 13, SDG 8, and SDG 17.
Why is this book important?
While much of the existing literature on circular economy and AI focuses on advanced economies, the most dramatic opportunities — and the most pressing needs — lie in emerging markets. Countries across ASEAN, the BRICS, and beyond are urbanizing rapidly, building new infrastructure, and shaping industrial systems that will define resource consumption patterns for decades. This book addresses a critical gap by examining how AI can help these nations leapfrog linear models entirely and build circular systems from the ground up. For researchers, this is a chance to contribute to a field that is both intellectually rich and urgently relevant to global sustainability.
Why contribute to this book?
Your chapter will be published by Palgrave Macmillan, one of the world's leading academic publishers, and the book will be Scopus-indexed — giving your work visibility and scholarly impact. You will join a distinguished editorial team led by Prof. Mani Venkatesh (Asper School of Business, University of Manitoba, Canada) and Dr. Giang NT Nguyen (Ho Chi Minh City University of Economics and Finance, Vietnam), alongside an international community of contributors working at the frontier of AI, sustainability, and development research.
Who is involved?
The book is led by Prof. Mani Venkatesh, whose research expertise spans business innovation and sustainable development, and Dr. Giang NT Nguyen, a Senior Research Fellow specializing in emerging market economies and circular transitions. Together, they bring a cross-continental editorial perspective that reflects the global scope of the book itself.
Topics we welcome include (but are not limited to):
1. Foundations of AI and the Circular Economy in Emerging Markets
Explore foundational frameworks linking how AI can drive circular economic transitions in emerging markets, connecting innovation with sustainable development.
2. AI Technologies Enabling Circular Transitions
Examine how machine learning, computer vision, IoT, and blockchain enable circular value creation, drawing on industrial ecology and socio-technical transition theories
3. The Emerging Market Context: Opportunities and Constraints
Examine how economic development, environmental challenges, digital infrastructure, policy landscapes, and socio-cultural factors shape AI-driven circular transitions in emerging markets.
4. Smart Manufacturing and Industrial Symbiosis
Explore AI-optimized production systems for waste reduction, predictive maintenance, asset lifecycle management, and industrial symbiosis platforms.
5. Intelligent Waste Management and Recycling Systems
Explore AI-powered waste sorting, smart collection logistics, informal-sector integration, and municipal waste management in emerging market cities.
6. Circular Supply Chains and Product Lifecycle Management
Examine AI-enabled supply chain transparency, reverse logistics, take-back systems, and product-as-a-service models across electronics, textiles, and consumer goods.
7. Agriculture, Food Systems, and Resource Recovery
Explores precision agriculture, AI-driven food waste reduction, nutrient recovery, and biomass valorization, with applications in emerging nations.
8. Built Environment and Urban Circularity
Addresses smart buildings, construction waste reduction, material reuse, urban mining, and smart city initiatives in emerging market megacities.
9. Circular Business Models and Innovation Strategies
Analyze AI-enabled circular business models, start-up ecosystems, corporate sustainability strategies, and financing considerations.
10. Policy Frameworks and Governance
Review national circular economy strategies, digital and AI governance, regulatory challenges, and public–private partnership models.
11. Social Dimensions and Just Transitions
Examine employment impacts, informal-sector workers, digital divides, and consumer behavior change in AI-driven circular transitions.
12. Financing and Investment for Circular Innovation
Explore green finance, blended finance, impact investing, and ESG considerations for AIcircular ventures.
13. Challenges, Risks, and Limitations of AI for the Circular Economy
Address data privacy, AI's energy footprint, rebound effects, and implementation barriers in emerging markets.
14. Comparative and Cross-Country Case Studies
Present empirical analyses across China, India, ASEAN nations, and other emerging markets, identifying common patterns and context-specific variations.
15. Regional Cooperation, Knowledge Transfer, and Scaling
Examine cross-border collaboration, South–South knowledge sharing, technology diffusion, and pathways for scaling AI-enabled circular innovations.
16. Future Pathways and Research Agenda
Outline emerging technologies, research gaps, and how emerging market experiences can contribute to global circular economy transitions.
How can I submit my chapter?
Proposal Submission: Interested authors should submit a 300-word abstract outlining the proposed chapter’s focus, objectives, and contribution to the field. Please include the authors' affiliations and contact information.
Full Chapter Submission: If selected, full chapters should be 7,000-10,000 words, including references and appendices. All submissions must follow Palgrave Macmillan’s Manuscript Guidelines.
Key Dates:
Abstract submission deadline: 30 August 2026
Notification of acceptance: 15 September 2026
Full chapter deadline: 31 December 2026
Final manuscript deadline: 30 August 2027
We look forward to receiving your contributions!
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Dear Editors,
I would like to submit the following chapter proposal for consideration in your edited volume *From Linear to Circular Business Models — AI-Driven Sustainable Growth in Emerging Markets*.
Proposed Chapter Title
Generative AI and Social Media Intelligence for Circular Business Model Innovation in Emerging Markets: A Capability‑Based Framework and Research Agenda
Abstract
Emerging markets face mounting pressure to move from linear, extractive models toward circular business models (CBMs) while simultaneously navigating rapid digitalization and fragmented data ecosystems. Although artificial intelligence is widely recognized as a catalyst for sustainable, growth‑oriented transformation, the specific mechanisms through which generative AI (GenAI) and social media intelligence enable circular business model innovation remain under‑theorized, particularly in resource‑constrained and institutionally complex contexts. This chapter addresses this gap by proposing a capability‑based conceptual framework that links GenAI‑driven social media intelligence to circular business model innovation in emerging markets.
We conceptualize generative AI models (large language models, multimodal generators, conversational agents) as augmenting a multi‑layer social media intelligence capability. The framework distinguishes three interrelated mechanisms: (1) generative extraction and sense‑making of circularity‑relevant signals from unstructured social data, allowing firms to detect reuse, repair, and recycling preferences in real time; (2) AI‑enabled stakeholder engagement and co‑creation of closed‑loop value propositions via platform‑mediated interactions; and (3) predictive sustainability analytics for anticipating resource flows and demand fluctuations, thereby supporting the redesign of value loops and circular supply‑chain configurations. Anchored in dynamic capabilities and socio‑technical transition perspectives, the framework explains how these mechanisms can reorient firms from linear value capture toward regenerative, circular growth trajectories.
Methodologically, the chapter combines a focused, Scopus‑based mapping of work at the intersection of GenAI, social media analytics, circular economy, and emerging markets with illustrative cases (e.g., Indian textile SMEs, Kenyan agritech platforms, Southeast Asian electronics recycling ecosystems) to ground the framework empirically. The chapter concludes with a targeted research agenda specifying propositions, methodological pathways, and governance issues (including data sovereignty and algorithmic bias) for scaling AI‑driven circular business models in emerging economies.
Author
Dr. Nidal Al Said, Associate Professor, College of Mass Communication, Ajman University, Ajman, United Arab Emirates.
Email: n.alsaid@ajman.ac.ae
Kind regards,
Dr. Nidal Al Said
Dear Editors,
My abstract is ready but I am unable to find where it is to be sent. So, pls provide email id or any other option for the same.
Chapter Title: Strategic use of Eco-Labels for Circular Value Creation: Sustainable Marketing Strategies in Emerging Agrifood Markets
Authors
Chetan Khanna, Assistant Professor, Department of Commerce, LPC, Lucknow, Uttar Pradesh, India
Mustfa Hussain, Associate Professor, Department of Agriculture, IIAST, Integral University, Lucknow, Uttar Pradesh, India
Correspondence Author: mail2drmustfahussain@gmail.com
Abstract
Background
The emerging environmental issues and resource constraints in developing economies have intensified the need to transition from linear to circular economic systems. In the agrifood sector, eco-labeling has emerged as a prominent sustainability signaling mechanism; however, its role in enabling circular value creation remains underexplored, particularly in emerging markets such as India where consumer awareness and trust remain limited.
Objectives
This study aims to: (i) analyze the role of eco-labeling in influencing consumer trust and sustainable purchase behavior, (ii) examine its linkage with circular supply chain practices, and (iii) develop a conceptual framework integrating eco-labeling with circular value creation.
Research Methodology
The study adopts a mixed-method approach, combining secondary data analysis from global reports (FAO, World Bank) with multiple case studies of leading Indian agrifood firms. The analysis is supported by thematic interpretation and comparative assessment.
Major Findings
The findings shows that eco-labeling enhances consumer trust and positively influences purchase intentions when supported by transparency and credible certification. However, its contribution to circular value creation depends on its integration with supply chain practices such as waste reduction, resource efficiency, and traceability. Key barriers include lack of standardization, weak regulatory frameworks, and low consumer awareness.
Conclusion
The study concludes that eco-labeling can serve as a catalyst for circular transformation only when embedded within broader sustainable marketing and supply chain strategies. It provides important implications for policymakers and practitioners to strengthen certification systems and promote sustainable consumption.
Keywords
Eco-labeling, Circular economy, Agrifood markets, Sustainable marketing, Consumer behavior, Emerging economies
Regards
Mustfa Hussain, Associate Professor, Department of Agriculture, IIAST, Integral University, Lucknow, Uttar Pradesh, India
Email: mail2drmustfahussain@gmail.com
Hi
Will you be sharing any link, where we can upload our abstracts?
Do let me know thanks.
hey may i get the link of abstract submission?
Dear Editors,
My abstract is ready but I am unable to find where it is to be sent. So, pls provide email id.
Dear Editors:
Greetings! I would like to submit my abstract for the book chapter. However, I cannot find any email ID or portal where I can submit it. Would you please share the email ID or portal link? Thank you.
Rumi Akter
Lecturer, BRAC University, Bangladesh
Dear Editors,
I hope this message finds you well. I am writing to propose a chapter contribution for your forthcoming edited volume, "From Linear to Circular Business Models: AI-Driven Sustainable Growth in Emerging Markets" (Palgrave Macmillan), in response to the open call published via Springer Nature Research Communities.
I am Sajadul Islam Emon, an undergraduate researcher in the Department of Agricultural Science at Daffodil International University, Dhaka, Bangladesh. My research interests span agricultural biotechnology, crop residue management, and sustainable agricultural systems in South Asian context.
Title:From Stubble to Sustainability: AI-Enabled Agricultural Residue Valorization and Circular Bioeconomy Transitions Among Smallholder Farmers in Bangladesh
Thematic Alignment:
This chapter primarily aligns with Topic 7 (Agriculture, Food Systems, and Resource Recovery) while drawing meaningfully from Topics 5, 11, and 14 that incorporates nformal sector integration, social dimensions of rural transitions, and a comparative South Asian perspective. It contributes a Bangladesh-specific empirical and policy lens that is currently underrepresented in the global circular economy literature.
Abstract:
Agricultural crop residue is one of the largest underutilized biomass resources in South Asia, with an estimated resource of 30-35 million tonnes of agricultural crop residue being produced in Bangladesh every year, of which the major component is the rice straw, jute stalks, wheat straw and sugarcane bagasse. For the 16 million smallholder farm households in the country, that's not a cost, it's a potential circular resource that can fuel a rural bioeconomy.
The chapter explores the potential of AI technologies to revolutionize the way biomass is managed in Bangladesh, from biomass yield prediction using ML to monitoring residues with IoT to optimizing AD processes with AI systems that create a circular biomass value chain. Based on the theoretical framework of the circular bioeconomy and the socio-technical transition model, the chapter describes the status quo of the residue valorization ecosystem in Bangladesh, highlighting relevant bottlenecks in the collection of feedstocks, decentralized biogas production, recovery of biofertilizers, and market access of smallholders.
The chapter introduces a conceptual framework for residue valorisation with artificial intelligence adapted to the specific conditions of low infrastructure rural areas, where the access to data is weak, the farms are small holdings and the informal chain has a major role in aggregating biomass. It analyzes critically the application of precision agriculture AI technologies designed for large farming systems to the context of the smallholder, and identifies the adaptations needed. The socially inclusive pathway for technology dissemination via digital extension services, mobile based AI advisory services and community-level biogas cooperatives is examined.
Comparisons are drawn with similar transitions in circular bioeconomy in India, Vietnam and Indonesia for developing policy recommendations for the Government of Bangladesh. The chapter concludes that AI-powered agricultural waste valorisation can be a replicable solution for Bangladesh to achieve SDG 2, SDG 7, SDG 12, and SDG 13 with a smallholder equity lens.
Keywords: Agricultural residue valorization, circular bioeconomy, smallholder farmers, anaerobic digestion, AI in agriculture, Bangladesh, South Asia, biomass, rural sustainability
I am prepared to submit a full chapter of approximately 7,000–9,000 words within the timeline stipulated by the editorial team following abstract acceptance. I am also open to co-authorship arrangements with researchers whose work complements this chapter's scope, should the editors consider such collaboration beneficial to the volume.
I would be grateful for any feedback on the suitability of this proposal and welcome a conversation at your convenience.
Thank you sincerely for this opportunity and for your dedication to producing a volume of this scope and importance.
Warm regards,
Sajadul Islam Emon
Department of Agricultural Science
Daffodil International University
Savar, Dhaka, Bangladesh
Email: emonkhan56481@gmail.com
Dear Editors,
I would like to submit the following chapter proposal for consideration in your edited volume From Linear to Circular Business Models — AI-Driven Sustainable Growth in Emerging Markets.
Proposed Chapter Title
From Enterprise AI to Circular Transitions: Examining the Role of Complementary Digital Technologies in Emerging Markets
Abstract
Background
Recent years have witnessed an influx in investments by companies to integrate AI to automate middle management layers and serve as a means of retrieval for larger repositories; however, suboptimal utilization practices and limited domain-specific understanding have resulted in lower-than-anticipated returns.
Research Context
Concurrently, the study utilizes secondary peer-reviewed sources to explore the possibility of synergistic deployment of AI and other modern technologies such as IoT, blockchain, and digital twins to help transition towards circular economies through resource optimization, predictive decision-making, and management.
Objectives
This chapter seeks to: (i) examine the relationship between AI, complementary digital technologies, and circular economy principles in the context of emerging economies; (ii) explore how AI and complementary technologies such as IoT, blockchain, and digital twins can support resource optimization and facilitate the transition from linear to circular economic models; (iii) identify the opportunities, challenges, and adoption patterns associated with the deployment of these technologies within ASEAN and BRICS economies; and (iv) provide a comparative perspective and propose pathways to guide future research and practical implementation in support of sustainable development goals and evolving market needs.
Research Gap
However, evidence regarding the successful impact of these architectures within ASEAN and BRICS economies remains limited.
Methodology
To address this gap, the scope of this study is not limited to the consolidation of evidence regarding how Industry 4.0 technologies are driving a paradigm shift towards a circular model, but also extends to a comparative case analysis to identify existing challenges and points of improvement in both theoretical and applied frameworks, proposing optimal pathways for the future and examining the impacts of emerging adoption patterns to enable this circular transition in line with SDGs and market needs.
Conclusions
Enterprise AI adaptation lacks the capabilities required for circular economy transitions. The study also observes that non-technical factors exert a greater influence on circular transition implementation; however, emerging economies may leapfrog traditional methods through the adoption of digitally enabled circular practices. The chapter is expected to highlight economies to accelerate circular transitions through digitally enabled practices and provide insights that may guide research and implementation line with sustainable development goals and needs.
Authors
Raghav Purohit
Email: 1ds24cb042@dsce.edu.in
Rudresh A S
Vibhav J Bharadwaj
Email: 1ds24cb058@dsce.edu.in
Dr. Archana Nandibewoor
Samriddh Pandey
Kind regards,
Raghav Purohit
Dear Editors,
I would like to provide an update regarding the authors' affiliations and designations for our submitted chapter proposal.
Raghav Purohit, Rudresh A S, Vibhav J Bharadwaj, and Samriddh Pandey are undergraduate students at Dayananda Sagar College of Engineering, Bengaluru, India. Dr. Archana Nandibewoor is the Head of the Department of Computer Science and Business Systems (CSBS) at Dayananda Sagar College of Engineering, Bengaluru, India.
Kindly consider these details for the final records associated with our submission.
Thank you for your time and consideration.
Kind regards,
Raghav Purohit
1ds24cb042@dsce.edu.in
Dear Editors,
I would like to submit the following chapter proposal for consideration in your edited volume, From Linear to Circular Business Models: AI-Driven Sustainable Growth in Emerging Markets.
Proposed Chapter Title
AI-Driven Talent Matching in Emerging Economies
Abstract
Placement cells in higher education institutions across emerging economies continue to rely on manual, subjective processes to evaluate student profiles and match them with job opportunities. This leads to inefficiencies, missed placements, and a lack of structured feedback for students. With the rapid growth of the job market and increasing volumes of applicants, there is a clear need for intelligent, data-driven systems that can bridge the gap between student capabilities and employer requirements.
Objectives
This study aims to: (i) design and develop a web-based placement dashboard integrating AI-assisted resume analysis, (ii) implement a rule-based job suitability indicator to classify candidates as strong, moderate, or weak matches, and (iii) evaluate the effectiveness of the recommendation logic using standard metrics including Precision, Recall, F1-Score, and Mean Reciprocal Rank (MRR).
Research Methodology
The system follows an agile development methodology organized into iterative sprints. The technical stack includes React.js and Next.js for the frontend, FastAPI for the backend, and SQLite for storage. The AI pipeline leverages Sentence BERT for semantic embeddings, spaCy for named entity recognition, FAISS for vector search, and cosine similarity for candidate-job matching. The scoring model weights skill match at 40%, project relevance at 25%, experience at 25%, and CGPA at 10%.
Major Findings
The developed system, ResumeRank, successfully integrates AI-generated outputs into a structured placement dashboard accessible to both students and placement officers. Students receive resume-quality scores, skill feedback, and job match rankings, while recruiters can filter, shortlist, and rank candidates efficiently. The rule-based suitability indicator demonstrates reliable classification across match categories. Key limitations include reliance on structured resume inputs and the absence of deep learning-based matching in the current prototype.
Conclusion
ResumeRank demonstrates that AI-driven talent matching tools can meaningfully improve placement efficiency in emerging market institutions. By serving both students and placement cells through a unified platform, the system establishes a scalable foundation for data-driven recruitment. Future work includes role-based access control, real-time analytics, and advanced deep learning matching models.
Keywords: AI talent matching, resume analysis, placement management, emerging economies, NLP, job suitability, campus recruitment
Authors Amitesh S T (1ds24cb007@dsce.edu.in),
Anant Sharma (1ds24cb008@dsce.edu.in),
Anirudh G Kharvi (1ds24cb011@dsce.edu.in),
Shashank Sharma (1ds24cb050@dsce.edu.in),
Prof. Anil D,
Dr. Archana Nandibewoor
authors affiliation
Amitesh S T, Anant Sharma, Anirudh G Kharvi, and Shashank Sharma are undergraduate students at Dayananda Sagar College of Engineering, Bengaluru, India. Anil. D Professor and Dr. Archana Nandibewoor HOD of CSBS Dept at Dayananda Sagar College of Engineering
Where to submit...have it here
Proposed Chapter Title AI-Enabled Digital Storytelling and Smart Literary Trails for Destination Development: A Case Study of Kashmir’s Literary Tourism Potential Syed immamul AnsarullahDepartment of computer applications, GDC Sumbal Bandipora-193502 Jammu and Kashmir, India; syedansr@gmail.com
Chapter Abstract and Rationale
Literary tourism is going beyond visits to authors’ homes, memorials and heritage sites. As we move into the digital era, travellers are looking for more immersive, emotional and story-driven experiences that enable them to connect with the cultural memory, literary imagination and lived atmosphere of a destination. This change has opened up new opportunities for destinations with strong literary, historical and cultural heritage to leverage the potential of digital storytelling, artificial intelligence, social media, augmented reality, virtual trails and interactive interpretation for the development of their tourism offering. Kashmir is a region with rich literary traditions, poetry, oral narratives, Sufi influences, travel writing, folklore and cultural landscapes, making it an ideal setting to explore the potential of literary tourism and its development using digital tools and technologies without compromising authenticity and local identity.
This proposed chapter will explore the possibilities of AI-based digital storytelling and smart literary trails for the development of Kashmir as a literary tourism destination. The chapter will emphasise the potential of literary places, texts, authors, cultural memory and destination narratives as meaningful experiences for visitors that can be realised through digital platforms. It will state that literary tourism in Kashmir cannot just be about showcasing literary heritage. Rather, it can be created as a model of tourism that is based on experiences and supported by technology, through the use of mobile applications, interactive maps, virtual tours, AI-supported guides, digital archives and destination promotion using social media.
This chapter is directly linked to the scope of the proposed edited volume as it brings together the concepts of literary tourism, destination development, digital storytelling, smart tourism, cultural heritage, community participation and sustainability. It also covers several recommended themes, such as digital storytelling and virtual literary experiences, smart tourism and the application of AI in the development of literary tourism destinations, the branding of literary destinations in the digital age, cultural geography and literary landscapes, destination planning and policy frameworks, and sustainable and inclusive literary tourism development. The new chapter will present a research-based, practical approach to literary tourism with digital tools that can help enhance tourism without compromising cultural authenticity.
Background and Problem Statement
Kashmir is renowned for its nature, heritage, craft and culture. However, when it comes to literary tourism, it is not yet fully exploited in comparison with its overall image as a scenic and leisure destination. The region boasts rich literary resources, such as Kashmiri poetry, Persian and Urdu literary influences, Sufi and mystic traditions, travel narratives, folk stories, oral histories and writings related to place, memory and identity. These literary resources are closely connected with landscape elements such as Srinagar, Dal Lake, old city neighbourhoods, gardens, shrines, mountains, rivers and rural cultural spaces. However, these linkages are not often put together into a literary tourism package.
The primary issue discussed in this chapter is the lack of utilisation of Kashmir’s literary-cultural resources in destination development. The promotion of tourism is still mainly based on landscape, adventure, pilgrimage and leisure. Literary heritage is included in the cultural identity of the region, but is not fully translated into experiences for visitors, literary routes, interpretive trails, digital content, literary-themed festivals or destination branding strategies. Consequently, a place of interest is deprived of the chance to draw cultural tourists, literary travellers, students, researchers and visitors seeking to better experience place-based narratives.
Digital technology can be a solution to fill this gap. AI-driven storytelling tools, virtual tours, interactive maps, digital archives, QR-coded literary locations, location-based narration and AR trails can enhance accessibility and engage the audience with literary heritage. A pedestrian in a historical area, a garden, a shrine or a lakeside area might be able to get poetry, oral stories, historical references, author biographies and local stories via a mobile device. However, digital transformation needs to be managed properly. Literary tourism can become only a technological product and deplete local culture in a simplified or commercialised form. Thus, the chapter will explore the possibilities of digital innovation in the context of literary tourism and its relationships with local communities, cultural institutions, tourism planners and literary scholars to develop authentic, inclusive and sustainable literary tourism experiences.
Aim of the Chapter
The primary objective of this chapter is to explore the potential of AI-driven digital storytelling and smart literary trails in destination development for literary tourism in Kashmir, ensuring cultural authenticity, community engagement and sustainability.
Objectives of the Chapter
The proposed chapter will work towards the following goals:
Research Questions
The chapter will follow the following research questions:
Proposed Methodology
A case study-based qualitative approach, secondary data and documentary analysis will be used. This is the most suitable methodology as the chapter deals with a particular destination context and explores the possibilities of digital tools and cultural interpretation to develop literary tourism. The chapter’s case study methodology enables the linkages between theory and destination-level practice and also helps to look at Kashmir as a practical case of literary tourism.
The study will be based on secondary data sources, including tourism policy documents, tourism promotion material, literary texts, cultural histories, government tourism reports, digital tourism studies, academic literature on literary tourism and smart tourism, AI, digital storytelling and digital heritage interpretation. A thematic documentary review approach will be used for the analysis. Key themes will be literary landscapes, destination branding, digital storytelling, AI-powered visitor engagement, cultural authenticity, community involvement, sustainable tourism and policy support.
Primary survey or interview data will not be used in the chapter. This makes it possible to complete the study within the submission time frame, and appropriate for a book chapter proposal. The chapter will, however, be kept practical with the development of a destination-development framework which can be used by tourism departments, destination managers, cultural organisations, heritage planners and literary festival organisers. The framework would illustrate the way in which all literary resources of Kashmir can be transformed into smart literary tourism experiences through four interlinked layers, namely literary heritage mapping, design of digital storytelling, visitor engagement tools and sustainable destination governance.
Proposed Chapter Structure
The chapter will have the following sections:
This section will introduce literary tourism in the digital age and how Kashmir is relevant as a case study.
In this section, the development of literary tourism from visiting heritage sites to experiencing and participating in tourism will be discussed.
This section will explore the literary heritage, culture, oral stories and place-based storytelling potential in Kashmir.
The use of AI, virtual experiences, interactive maps, QR-based interpretation and mobile applications to support literary tourism will be discussed.
The importance of protecting local identity, engaging communities and avoiding over-commercialisation of literary heritage will be discussed.
This section will provide a pragmatic approach for creating smart literary trails and digital literary tourism experiences in Kashmir.
The chapter will be summarised and recommendations for destination planners, tourism managers, cultural institutions and researchers will be given.
Expected Contribution of the Chapter
The chapter will help advance the new concept of literary tourism by demonstrating how digital tools can be utilised to build a destination that has the potential of being culturally and literarily rich. It will offer a case study understanding of how Kashmir can transcend from traditional tourism branding to create more immersive cultural experiences, literary trails, storytelling platforms, virtual interpretation and AI-enabled visitor engagement.
The chapter will have a practical impact by offering a framework that will enable destination managers to identify literary resources, create experiences with digital storytelling, engage local communities and foster sustainable literary tourism. It will also provide an input for policy discussion, demonstrating how literary tourism can help to preserve culture, diversify tourism and develop destinations for inclusive tourism. The chapter will benefit tourism researchers and/or literary scholars, destination managers, digital humanities researchers, heritage planners, event organisers and policymakers who are interested in the combination of literature, technology and tourism.
Tentative Keywords
Literary tourism; digital storytelling; artificial intelligence; smart tourism; Kashmir; literary trails; destination development; cultural heritage; virtual tourism; sustainable tourism.
Indicative References
Busby, G., and Klug, J. (2001). Movie-induced tourism: The challenge of measurement and other issues. Journal of Vacation Marketing.
Herbert, D. (2001). Literary places, tourism and the heritage experience. Annals of Tourism Research.
Hoppen, A., Brown, L., and Fyall, A. (2014). Literary tourism: Opportunities and challenges for the marketing and branding of destinations? Journal of Destination Marketing and Management.
Jiang, L., and Yu, L. (2020). Consuming literature: Best practices in literary tourism. Annals of Tourism Research.
MacCannell, D. (1976). The Tourist: A New Theory of the Leisure Class. University of California Press.
Richards, G. (2018). Cultural tourism: A review of recent research and trends. Journal of Hospitality and Tourism Management.
Sigala, M. (2018). New technologies in tourism: From multi-disciplinary to anti-disciplinary advances and trajectories. Tourism Management Perspectives.
Tussyadiah, I. P. (2020). A review of research into automation in tourism. Tourism Management Perspectives.
UNWTO. (2018). Tourism and Culture Synergies. World Tourism Organization.
Wang, D., Xiang, Z., and Fesenmaier, D. R. (2016). Smartphone use in everyday life and travel. Journal of Travel Research.