Call for Chapters: From Linear to Circular Business Models – AI-Driven Sustainable Growth in Emerging Markets (Palgrave Macmillan, Scopus-Indexed)
We invite researchers to contribute chapters to our forthcoming Palgrave Macmillan edited book exploring how AI technologies can accelerate circular economy transitions in emerging markets, with a focus on ASEAN and BRICS nations. Abstract deadline: 30 August 2026.
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hey may i get the link of abstract submission?
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.
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
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.
Hi
Will you be sharing any link, where we can upload our abstracts?
Do let me know thanks.
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.
Dear Editors,
I would like to submit the following chapter proposal for consideration in your edited volume: "Comparative and Cross-Country Case Studies." Title: DIGITAL FINANCIAL SERVICES AND WOMEN'S FINANCIAL INCLUSION— Evidence from South ASEAN Countries
Authors: Dr. Kamakula N. Murthy, Assistant Professor, Department of Social Sciences and Humanities, Vignan's Foundation for Science, Technology and Research (VFSTR), Guntur, Andhra Pradesh, India. Corresponding Author: kamakula.nmurthy@gmail.com
Dr. Ch. Ravi Kiran, Assistant Professor, Department of Social Sciences and Humanities, Vignan's Foundation for Science, Technology and Research (VFSTR), Guntur, Andhra Pradesh, India. crk_sh@vignan.ac.in
Abstract
Background: Digital financial services (DFS) have expanded access to formal financial systems and created new opportunities for women's financial inclusion in developing economies. Mobile banking, digital payments, fintech, and e-wallets enable women to save, borrow, receive payments, and access financial services more efficiently. In South ASEAN, rapid digitalization has accelerated financial inclusion; however, the benefits remain uneven due to disparities in digital infrastructure, financial literacy, institutional quality, and regulatory support. Despite the growing body of research on digital finance, there is limited cross-country evidence of its impact on women's financial inclusion in the region. This study addresses this gap by examining the relationship between digital financial services and women's financial inclusion in ten South ASEAN countries during 2014–2024 and highlights its implications for achieving Sustainable Development Goals 5 and 8.
Objectives: This study aims to:
Research Methodology: The study employs a quantitative research design using balanced panel data for ten South ASEAN countries covering the period 2014–2024. Data are collected from the World Bank Global Findex Database, the IMF Financial Access Survey, the International Telecommunication Union (ITU), UN Women, and the World Development Indicators. Fixed-effects, random-effects, and system generalized method of moments (System-GMM) models are used to estimate the relationship while addressing country-specific heterogeneity and endogeneity.
Major Findings: The findings are expected to show that digital financial services significantly improve women's ownership and use of formal financial accounts, increase adoption of digital payments, encourage savings, and expand access to formal credit. The positive effects are stronger in countries with better digital infrastructure, higher internet penetration, stronger financial literacy, and effective institutions. However, digital gender gaps and weak regulatory frameworks continue to limit the benefits in lower-income ASEAN economies.
Conclusion: The study concludes that digital financial services play an important role in advancing women's financial inclusion and economic empowerment in South ASEAN. Strengthening digital infrastructure, improving financial literacy, and developing supportive regulatory frameworks are essential for reducing gender-based financial exclusion and achieving Sustainable Development Goals 5 and 8.
Keywords: Digital Financial Services, Women's Financial Inclusion, Financial Inclusion, Digital Payments, FinTech, Economic Empowerment, South ASEAN, Sustainable Development Goals, Panel Data Analysis
Regards
Dr. Kamakula N. Murthy
Assistant Professor of Economics, Department of Social Sciences and Humanities
Vignan's Foundation for Science, Technology and Research (VFSTR) Guntur, Andhra Pradesh, India Email: kamakula.nmurthy@gmail.com
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.
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.
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.
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.
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.
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
Please send your submission to giangnnt@uef.edu.vn. Thank you very much.