Google Scholar Article Index - Stanzaleaf Book Chapters
This page lists published DOI-enabled book chapters and paper landing pages from Stanzaleaf Book Chapters.
Authors: Dr. P. B. Chella Gomathi
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.31
Abstract: Recruitment and talent management involve complex decisions in which many relevant criteria are qualitative, uncertain, incomplete, and difficult to measure precisely. Candidate experience may be described as “moderate,” technical competence as “high,” leadership potential as “promising,” and organizational readiness as “acceptable,” yet conventional scoring systems often force these evaluations into rigid numerical categories. Artificial intelligence can process large volumes of recruitment and employee data, but purely algorithmic approaches may introduce opacity, bias, and excessive dependence on historical data. Fuzzy logic provides a complementary decision framework because it represents imprecise human judgments through degrees of membership rather than binary classification. This chapter proposes an AI-powered fuzzy logic model for recruitment and talent management in which AI supports résumé parsing, skill extraction, competency mapping, pattern detection, and predictive analytics, while a fuzzy inference system translates uncertain human-resource criteria into interpretable decision recommendations. The proposed framework incorporates qualifications, professional experience, technical and behavioural skills, structured interview results, learning agility, performance indicators, and other job-relevant variables. These inputs are transformed into fuzzy linguistic categories such as low, medium, and high, processed through an explicit rule base, and converted into suitability or talent-potential scores through defuzzification. The model can support candidate ranking, person–job matching, development planning, succession management, internal mobility, and skill-gap identification. However, automated recommendations should not constitute final employment decisions. Fairness auditing, explainability, data protection, criterion validation, sensitivity analysis, and meaningful human review remain essential. The chapter argues that combining AI's computational capabilities with fuzzy logic's transparent treatment of uncertainty can provide a more interpretable decision-support architecture for contemporary human resource management.
Article Landing Page
Full Text PDF
Authors: Mr. B. Navaneetha Krishnan
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.30
Abstract: Gender has become one of the most productive categories of analysis in contemporary literary studies because literary texts do not merely reflect existing social ideas about women, men, sexuality, family, labour, identity, and power; they also participate in constructing, questioning, reproducing, and transforming those ideas. Contemporary gender criticism has therefore moved beyond the simple identification of “strong” or “weak” female characters toward a more complex examination of how gender intersects with race, ethnicity, class, caste, sexuality, disability, age, migration, colonial history, and institutional power. This chapter examines the relationship among gender, society, and representation through feminist criticism, intersectionality, queer theory, masculinity studies, postcolonial feminism, and cultural studies. Particular attention is given to gender performativity, voice and silence, the body, domestic and public space, labour, sexuality, stereotypes, counter-narratives, publishing institutions, canon formation, and reader reception. The chapter argues that representation must be studied at two interconnected levels: within literary texts and within the institutions that determine which writers are published, reviewed, taught, translated, and remembered. Empirical evidence from literary publishing demonstrates that gendered disparities can persist even in cultural institutions committed to intellectual and artistic value. At the same time, contemporary literature increasingly presents plural, resistant, fluid, and intersectional identities that challenge traditional binary representations. The chapter concludes that gender-sensitive literary studies should not prescribe a single ideological interpretation of texts but should provide readers with analytical tools for understanding how narratives organize visibility, authority, embodiment, identity, and social difference.
Article Landing Page
Full Text PDF
Authors: Ms. A. Mercy Kiruba Glory
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.29
Abstract: Digital transformation has significantly altered the environments, resources, and pedagogical methods through which English is learned. Contemporary learners increasingly engage with English through smartphones, artificial intelligence systems, learning-management platforms, digital games, social media, virtual environments, podcasts, video platforms, collaborative applications, and multimodal storytelling tools. The educational significance of these technologies, however, depends less on the novelty of individual applications than on how effectively they are integrated with appropriate methods of language learning. This chapter therefore approaches technology-enhanced English learning as a digital ecosystem in which tools, pedagogical methods, learner activity, feedback, interaction, and autonomy operate together. It examines mobile-assisted language learning, artificial intelligence, gamification, digital storytelling, flipped learning, project-based learning, virtual and augmented reality, collaborative online learning, and informal language learning beyond the classroom. Particular attention is given to vocabulary development, speaking, listening, reading, writing, learner motivation, digital literacy, and autonomous learning. Research evidence suggests that digital technologies can generate substantial improvements when they are integrated with collaborative, situated, game-based, and multimodal pedagogies. A meta-analysis of 62 studies, for example, reported a large overall effect of mobile learning on English-language achievement, while collaborative learning produced particularly strong results. Nevertheless, technology also creates challenges involving distraction, digital inequality, privacy, inaccurate information, superficial gamification, overdependence, and unequal teacher preparedness. The chapter argues that innovative English-language learning should therefore be guided by pedagogical alignment: educators should begin with learning objectives and learner needs, select technologies according to those objectives, and design activities requiring meaningful language use. Digital innovation becomes educationally valuable when it increases opportunities to interact, create, practise, reflect, collaborate, and transfer English beyond the classroom.
Article Landing Page
Full Text PDF
Authors: Ms. J. Mownisha, Dr P Suganya
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.28
Abstract: Globalization, international mobility, digital communication, multinational employment, and cross-cultural collaboration have increased the importance of English as a means of communication among people from diverse linguistic and cultural backgrounds. Consequently, English Language Teaching can no longer be limited to grammatical accuracy, vocabulary acquisition, or imitation of native-speaker norms. Contemporary learners require a broader set of global communication skills that includes linguistic competence, interactional ability, intercultural awareness, intelligibility, negotiation of meaning, mediation, digital communication, adaptability, and strategic competence. This chapter examines the role of English Language Teaching in developing these interconnected abilities. Drawing on communicative language teaching, intercultural communicative competence, English as a Lingua Franca, Global Englishes, plurilingual education, mediation, and digital communication, the chapter argues that effective ELT prepares learners not simply to “know English” but to use it appropriately and confidently in culturally and linguistically diverse environments. Classroom practices such as collaborative problem-solving, presentations, simulations, debates, project work, international virtual exchange, reflective cultural activities, and exposure to diverse English varieties can transform language classrooms into spaces for global communication development. Research involving university learners also demonstrates strong perceptions of the importance of English oral communication for expressing ideas, participating in formal discussions, asking questions, presenting business propositions, developing professional relationships, and strengthening confidence. The chapter further discusses academic mobility, workplace communication, digital interaction, Global Englishes, intercultural competence, pronunciation, mediation, and assessment. It concludes that the primary goal of contemporary ELT should not be linguistic perfection but effective, intelligible, adaptive, ethical, and culturally responsive communication across geographical, professional, linguistic, and digital boundaries.
Article Landing Page
Full Text PDF
Authors: Ms.M. Hamsalatha, Dr. B. Sumathi
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.27
Abstract: Artificial intelligence and emerging digital technologies are reshaping English Language Teaching by changing how learners access language input, practise communication, receive feedback, collaborate, and develop linguistic competence. Generative artificial intelligence, artificial intelligence-powered chatbots, automated writing evaluation, speech-recognition technologies, mobile-assisted language learning, virtual and augmented reality, gamification, learning analytics, and social-media platforms increasingly form part of contemporary language-learning environments. These technologies provide opportunities for personalized instruction, immediate feedback, authentic communication, learner autonomy, immersive language practice, and multimodal learning. Recent systematic reviews and meta-analyses indicate generally positive effects of emerging technologies on English as a Foreign Language learning, although effectiveness varies according to educational level, technological design, learner characteristics, instructional objectives, and teacher mediation. The increasing use of generative AI also raises important concerns regarding inaccurate information, algorithmic bias, linguistic standardization, academic integrity, privacy, unequal access, overdependence, and the possible weakening of independent language production. This chapter examines the transformation of English Language Teaching within this rapidly developing technological environment. It argues that effective technology integration should not be based on replacing teachers or automating learning but on constructing a human-centred teacher–technology–learner relationship. Particular attention is given to writing, speaking, reading, listening, vocabulary development, assessment, teacher competencies, Global Englishes, and immersive learning environments. The chapter concludes that the future of English Language Teaching depends upon pedagogically purposeful integration in which technological innovation strengthens communication, critical thinking, linguistic diversity, learner agency, and human interaction.
Article Landing Page
Full Text PDF
Authors: Dr. Joanna Pauline, Mr. P. Kavinkumar
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.26
Abstract: The rapid development of digital and social media has transformed storytelling from a predominantly print-centred practice into a dynamic process involving text, image, sound, video, animation, hyperlinks, spatial design, and audience interaction. These transformations have significant implications for contemporary English Studies, a discipline traditionally concerned with literary form, language, narrative, interpretation, and cultural representation. Digital platforms such as Instagram, YouTube, TikTok, blogs, podcasts, and other networked environments increasingly function not merely as channels through which literary content is distributed but as environments that influence how stories are structured, experienced, shared, and interpreted. This chapter examines digital media, social media, and multimodal storytelling as interconnected developments within contemporary English Studies. Drawing upon multimodality, social semiotics, electronic literature, transmedia theory, and online narrative studies, it explores how combinations of linguistic, visual, auditory, gestural, and spatial modes produce new forms of meaning. Particular attention is given to participatory storytelling, digital identity, micro-narratives, transmedia narratives, online communities, and the changing relationship between authors and readers. The chapter also considers the pedagogical significance of digital storytelling for literary and language education. Recent research indicates that multimodal storytelling can encourage language practice, collaboration, digital literacy, creativity, and intercultural engagement. Nevertheless, digital storytelling raises critical questions regarding algorithmic visibility, commercial platform structures, fragmented attention, authenticity, unequal digital access, copyright, misinformation, and the possible privileging of visual appeal over sustained literary complexity. The chapter argues that contemporary English Studies must broaden its analytical practices beyond verbal language while retaining the discipline's commitment to critical interpretation, cultural context, linguistic sensitivity, and ethical evaluation.
Article Landing Page
Full Text PDF
Authors: Dr. K. Savitha, Dr. A. Herlin Unnatha, Dr. Mohideen Abdul Kadir K J
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.25
Abstract: Artificial intelligence is transforming the production, interpretation, teaching, and circulation of language, creating significant consequences for English Studies. Generative artificial intelligence and large language models can now produce literary narratives, poetry, critical interpretations, translations, stylistic imitations, summaries, classroom materials, and linguistic feedback with remarkable fluency. These developments challenge conventional understandings of authorship, originality, creativity, textual interpretation, and language learning. At the same time, they provide English Studies with new opportunities for critical inquiry. This chapter examines the relationship between artificial intelligence and the interconnected domains of literature, language, creative writing, literary criticism, and English-language education. It argues that AI should not be understood merely as an automated writing technology but as a new textual environment requiring critical literacy. Research indicates that generative AI can support literary engagement, language development, brainstorming, revision, and creative experimentation, while also presenting risks involving bias, linguistic homogenization, fabricated information, dependency, academic integrity, and the erosion of individual voice. Machine creativity further complicates distinctions between human and computational authorship without eliminating the importance of human experience, intention, judgment, and responsibility. The chapter proposes a human-centred model of AI integration in English Studies in which computational capabilities supplement rather than replace interpretation and creative agency. In this model, close reading, contextual knowledge, rhetorical awareness, linguistic sensitivity, ethical judgment, and critical comparison become increasingly important. English Studies is therefore not made obsolete by artificial intelligence; rather, its traditional concern with language, meaning, culture, and representation makes the discipline particularly important for understanding and shaping emerging forms of human–machine communication.
Article Landing Page
Full Text PDF
Authors: Dr Rini Melina P, Dr Sabthami N, Dr. SOWMIYA L M
Published In: Digital Narratives and the Future of English Studies Literature, Language, Media, and AI in the 21st Century
ISBN: 978-81-180130-6-8
Publication Date: 2026-09-29
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.24
Abstract: Artificial intelligence has rapidly entered domains traditionally associated with human expression, including language, literature, storytelling, poetry, translation, criticism, and creative writing. The emergence of generative artificial intelligence and large language models has consequently reopened fundamental questions about creativity, authorship, originality, interpretation, and the relationship between language and human experience. Rather than approaching artificial intelligence simply as either a threat to human creativity or a technological substitute for the writer, this chapter examines AI as a new participant in an evolving ecology of cultural production. It explores the technological foundations of generative language systems, their implications for literary authorship, their capacity to support creative experimentation, and the ethical and cultural problems created by algorithmic textual production. Drawing on literary theory, digital humanities, computational creativity, and recent empirical research, the chapter argues that AI can expand possibilities for brainstorming, stylistic experimentation, translation, interactive narrative, accessibility, and collaborative writing. At the same time, automated generation may encourage textual homogenization, reproduce cultural biases, complicate intellectual ownership, and weaken the connection between expression and responsible human agency when used without critical oversight. The future of literary creativity therefore lies neither in rejecting AI nor in transferring creative authority entirely to machines, but in developing human-centred models of collaboration in which technology enlarges rather than diminishes linguistic diversity, imagination, judgment, and cultural responsibility.
Article Landing Page
Full Text PDF
Authors: Dr. Srividya N
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.23
Abstract: The growth of digital payments, cloud computing, e-commerce and remote working has
significantly increased cyber risks in India. Data breaches, ransomware attacks, phishing and
identity theft have become major concerns for businesses and individuals. Cyber insurance has
emerged as an important financial protection mechanism against such risks. Despite growing cyber
threats, the penetration of cyber insurance in India remains low. This paper examines the role of
customer trust in influencing the adoption of cyber insurance products in India. The study discusses
awareness, insurer reputation, transparency, pricing, service quality and regulatory support as
major determinants of customer trust and purchase intention. The paper concludes with strategic
recommendations for insurers and policymakers to improve cyber insurance adoption and
strengthen cyber resilience in India.
Article Landing Page
Full Text PDF
Authors: Dr. NITHYADEVI S
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.22
Abstract: The rapid growth of digital technologies has increased the complexity and frequency of cyber
threats across organizations worldwide. This study examines emerging cyber threats, including
ransomware, phishing, supply chain attacks, artificial intelligence (AI)-driven attacks, and cloud
security vulnerabilities. It analyses the financial, operational, and reputational impacts of these
threats on businesses and critical infrastructure. The paper also explores modern cybersecurity
strategies such as Zero Trust Architecture, Cyber Threat Intelligence, AI-based threat detection,
and continuous security monitoring to strengthen organizational resilience. Furthermore, it
highlights the importance of cybersecurity governance, regulatory compliance, employee
awareness, and international collaboration in mitigating cyber risks. The study concludes by
identifying future research opportunities in AI security, quantum-resistant cryptography, and
adaptive cybersecurity frameworks to address the evolving digital threat landscape. Overall, the
findings provide valuable insights for researchers, policymakers, and practitioners seeking to
enhance cybersecurity preparedness and resilience.
Article Landing Page
Full Text PDF
Authors: Dr. SURESH BABU K
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.21
Abstract: The Indian insurance sector is undergoing a profound structural transformation driven by rapid
economic formalization, demographic shifts, accelerating digitalization, and the emergence of non
traditional risk vectors. This paper comprehensively examines the landscape of emerging risks in
India, specifically evaluating the systemic impacts of cybersecurity threats, climate-induced
natural catastrophes, and the complex vulnerabilities exposed by evolving public health crises.
Utilizing recent statistical data from the Insurance Regulatory and Development Authority of India
(IRDAI) and global risk indices, we demonstrate how traditional actuarial models are failing to
capture highly correlated, non-linear modern risk environments. The paper provides an elaborated
theoretical framework anchored in Information Asymmetry, Prospect Theory, and Knightian
Uncertainty to analyze why specific insurance gaps persist. Ultimately, the paper outlines
actionable strategic paradigms for the future—including the integration of Artificial Intelligence
(AI), internet-of-things (IoT) driven parametric insurance, and regulatory sandbox structures—to
ensure long-term resilience and expand penetration in the Indian sub-continent.
Article Landing Page
Full Text PDF
Authors: Dr. Krishnaprabha S, Jenifer Chrisla T
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.20
Abstract: Gold is widely regarded as a safe-haven asset that helps hedge against stock market uncertainty,
particularly during periods of economic instability. This study examines the volatility spillover
between gold prices and the Indian stock market using daily data from January 2015 to December
2024. Time-series econometric techniques, including ADF, VAR, Granger causality, and GARCH
(1,1), are employed to analyze return dynamics and volatility transmission. Machine learning
models such as Random Forest, XGBoost, and LSTM are used to forecast market volatility and
compare predictive performance. The findings reveal significant volatility spillovers between gold
and equity markets, with LSTM providing the highest forecasting accuracy. The study offers useful
insights for investors, portfolio managers, and policymakers in improving diversification and risk
management strategies.
Article Landing Page
Full Text PDF
Authors: Dr Sangeetha P
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.19
Abstract: The increasing complexity of global business environments has exposed organizations to a wide
range of emerging risks, including cyber threats, climate change, pandemics, geopolitical
instability, technological disruption, and supply chain vulnerabilities. Traditional risk
management approaches are insufficient to address these interconnected risks, necessitating a
strategic and integrated approach. This paper examines strategic risk management practices for
insuring emerging risks from a management perspective through an extensive review of secondary
literature. It explores the role of Enterprise Risk Management (ERM), Business Continuity
Management (BCM), insurance innovation, and organizational resilience in enhancing
organizational preparedness and sustainable recovery. The paper discusses the evolution of
insurance from a financial risk transfer mechanism to a strategic business partner supporting
organizational resilience through products such as cyber insurance, climate risk insurance,
business interruption insurance, and parametric insurance. It also highlights best practices
adopted across industries and identifies major implementation challenges, including regulatory
uncertainty, technological complexity, and evolving risk landscapes. Finally, the study proposes
managerial implications for integrating strategic planning, insurance, and enterprise risk
management to strengthen long-term organizational resilience. The findings emphasize that
organizations adopting comprehensive risk governance and innovative insurance strategies are
better positioned to respond effectively to emerging risks and sustain competitive advantage.
Article Landing Page
Full Text PDF
Authors: Dr. Lalitha S
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.18
Abstract: Climate change, environmental degradation, biodiversity loss, pollution, and the increasing
frequency of natural disasters have created significant environmental, social, and economic
challenges across the globe. These risks threaten ecosystems, human health, agriculture,
infrastructure, and business operations, highlighting the need for innovative financial solutions
that support sustainable development. Green insurance has emerged as an important mechanism
that integrates environmental sustainability into insurance products, risk management practices,
and investment decisions. Unlike conventional insurance, which primarily provides financial
compensation after losses occur, green insurance emphasizes risk prevention, climate resilience,
and environmentally responsible behavior. Green insurance encourages individuals, businesses,
and governments to adopt sustainable practices by offering financial incentives for pollution
control, energy efficiency, renewable energy adoption, and compliance with environmental
regulations. It covers a wide range of environmental risks through products such as environmental
liability insurance, renewable energy insurance, crop insurance, climate-risk insurance, and
property insurance for climate-resilient infrastructure. These insurance solutions help reduce
financial losses while promoting long-term environmental protection and sustainable economic
growth. In developing countries such as India, where climate-related disasters significantly affect
agriculture, coastal regions, and urban infrastructure, green insurance serves as an essential
financial safety net. It enhances disaster preparedness, supports faster recovery, and encourages
investment in resilient infrastructure and clean energy projects. Technological advancements,
including artificial intelligence, satellite imagery, Geographic Information Systems (GIS), drones,
the Internet of Things (IoT), and big data analytics, have further strengthened green insurance by
improving risk assessment, underwriting accuracy, disaster prediction, and claim settlement.
Despite its growing importance, challenges such as limited public awareness, regulatory
constraints, affordability, and inadequate climate-risk data continue to hinder its widespread
adoption. Strengthening policy support, regulatory frameworks, technological innovation, and
public-private partnerships is essential for expanding green insurance. Overall, green insurance
plays a vital role in promoting environmental sustainability, reducing climate-related risks,
supporting resilient communities, and contributing to the achievement of sustainable development
goals in an increasingly climate-vulnerable world.
Article Landing Page
Full Text PDF
Authors: Mr. Nanee D, Dr. Arunprakash R
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.17
Abstract: Insurance is the part of financial inclusion that gets talked about least and needed most. When COVID-19 hit, when cyber-attacks became routine, and when geopolitical shocks began rippling through supply chains and currencies, households and small businesses found out how thin their protection really was. Financial inclusion is usually measured by bank accounts and credit access, but that misses something important: a family that can save and borrow but cannot insure is still one bad year away from poverty. This paper asks why insurance accessibility in India has lagged behind other forms of financial inclusion, particularly during crises, using a qualitative approach grounded in four theories, the access-usage-quality framework, prospect theory, diffusion of innovation theory, and the sustainable livelihoods framework. It traces India's financial inclusion policy, evaluates schemes like PMJJBY, PMSBY, PMFBY and Ayushman Bharat, and looks at what InsurTech and IRDAI's reforms have actually achieved. The barriers that emerge, affordability, literacy, distribution gaps and a persistent trust deficit around claims, resurface with particular force whenever a crisis hits. The paper closes with five practical steps and argues that insurance accessibility deserves to be central to financial inclusion policy, not an afterthought.
Article Landing Page
Full Text PDF
Authors: Dr. Rasool Begum P
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.16
Abstract: The insurance industry is undergoing a significant transformation with the adoption of Artificial
Intelligence (AI) and Big Data Analytics in risk assessment and decision-making. Traditional risk
assessment methods often rely on historical data and manual evaluation, which may be time
consuming and less effective in identifying emerging risks. AI, combined with Big Data
technologies, enables insurers to process vast amounts of structured and unstructured data from
multiple sources, including customer records, telematics, wearable devices, social media, Internet
of Things (IoT) sensors, and financial transactions. These advanced technologies facilitate
accurate risk prediction, personalized premium pricing, fraud detection, efficient claims
management, and enhanced customer service. This paper examines the role of Artificial
Intelligence and Big Data in modern insurance risk assessment by exploring their applications,
benefits, challenges, and future prospects. The study adopts a descriptive research methodology
based on an extensive review of recent literature, industry reports, and case studies. The findings
reveal that AI-powered predictive analytics and machine learning algorithms significantly improve
underwriting accuracy, reduce operational costs, detect fraudulent claims in real time, and enable
insurers to offer customized insurance products based on individual risk profiles. However, the
widespread implementation of these technologies also raises concerns regarding data privacy,
cybersecurity, algorithmic bias, ethical decision-making, and regulatory compliance. The study
concludes that Artificial Intelligence and Big Data have become indispensable tools for the
insurance sector, enhancing operational efficiency, improving risk management, and strengthening
customer trust. To maximize their potential, insurance companies should invest in robust data
governance frameworks, transparent AI models, skilled human resources, and strong cybersecurity
measures while ensuring compliance with evolving regulatory standards. The integration of AI and
Big Data is expected to redefine insurance risk assessment, making it more predictive, customer
centric, and resilient in the digital era.
Article Landing Page
Full Text PDF
Authors: Dr. SANTHIYA R
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.15
Abstract: The insurance industry, long dependent on actuarial tables and static underwriting, is being reshaped by Artificial Intelligence (AI) and Big Data Analytics. This paper examines how AI and large-scale data analytics are transforming risk assessment across underwriting, pricing, claims processing and fraud detection. Drawing on secondary data from industry reports, regulatory publications and academic literature, the study traces the shift from traditional actuarial models to dynamic, predictive risk engines using telematics, wearables, satellite imagery and unstructured text. It highlights key benefits — improved risk granularity, faster claims settlement, reduced fraud, and financial inclusion for previously uninsurable segments — alongside challenges such as data privacy, algorithmic bias, poor model explainability, cybersecurity risk, and gaps in India's regulatory framework, with reference to IRDAI guidelines. Drawing on illustrative examples from Indian and global insurers, the paper offers recommendations on explainable AI, data governance, regulatory sandboxes, and consumer protection. It concludes that realising AI's potential in
insurance risk assessment depends on embedding trust, transparency and fairness into algorithmic systems.
Article Landing Page
Full Text PDF
Authors: Dr Chandhini J, Dr. Ramya A
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.14
Abstract: Climate change has increased environmental uncertainty, posing significant challenges to the
sustainability of the insurance sector. This study proposes a quantitative framework that integrates
climate risk, environmental uncertainty, and insurance sustainability using composite risk indices
and stochastic risk modelling. By providing a systematic approach to risk assessment and resilience
planning, the proposed model offers practical insights for insurers and policymakers in developing
climate-resilient insurance strategies under increasing environmental uncertainty.
Article Landing Page
Full Text PDF
Authors: Dr. Srikala R, Sanjeev Kumar V
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.13
Abstract: This document explores the critical need for evolving insurance frameworks to address
increasingly systemic emerging risks, including global pandemics, large-scale cyber attacks, and
heightened geopolitical instability. Traditional insurance models often struggle with the correlated
nature of these threats, leading to significant protection gaps. The analysis proposes a shift toward
innovative risk-sharing mechanisms, specifically highlighting public-private partnerships as a
viable solution to enhance financial resilience and provide sustainable coverage for catastrophic,
boundary-spanning events. The study specifically contextualizes these global challenges within the
Indian insurance landscape, noting the urgent need for innovative solutions to bridge the nation's
significant protection gap.By contextualizing these global challenges within the Indian insurance
landscape, the study underscores the urgent need for a regulatory and operational transformation.
Article Landing Page
Full Text PDF
Authors: Anitha K.M., Abinaya S, Reshma M
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.12
Abstract: Emerging risks are new or evolving threats that can significantly affect individuals, businesses,
and society. These risks include cyberattacks, climate change, pandemics, artificial intelligence
(AI), natural disasters, and technological failures. Traditional insurance policies may not fully
cover these modern risks, making it essential for the insurance industry to adapt. The future of
insurance depends on innovation, digital technology, and data-driven decision-making. Insurance
companies are increasingly using AI, big data, the Internet of Things (IoT), and predictive analytics
to assess risks more accurately, detect fraud, and provide personalized insurance products. Digital
platforms also improve customer experience by enabling faster claims processing and online policy
management. As emerging risks continue to grow, insurers must develop flexible products,
strengthen risk management strategies, and collaborate with governments and businesses to build
resilience. The future insurance industry will focus not only on compensating losses but also on
preventing risks through advanced technology and proactive solutions.
Article Landing Page
Full Text PDF
Authors: Dr. Deepak Kumar J, Vishruti A
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.11
Abstract: The COVID-19 pandemic highlighted the critical importance of effective pandemic risk
management and resilient health insurance systems. It exposed weaknesses in traditional insurance
models while accelerating the adoption of innovative healthcare solutions such as digital health
services, telemedicine, and technology-driven insurance products. The Swiss Re Institute's article
Pandemics and Insurance: Lessons from COVID-19 examines how the insurance industry adapted
to the challenges posed by the pandemic and the valuable lessons learned. It emphasizes the need
for stronger collaboration between governments, insurers, and healthcare providers to improve
preparedness for future health emergencies. The article also discusses the growing role of
preventive healthcare, digital transformation, and advanced risk management strategies in
creating sustainable and customer-focused health insurance systems. These innovations not only
enhance access to quality healthcare but also strengthen the resilience of societies and economies
against future pandemics.
Article Landing Page
Full Text PDF
Authors: Dr. Moorthy D, Dr. Christina Jeyadevi
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.10
Abstract: Artificial Intelligence (AI) is revolutionizing the insurance industry by transforming traditional business models, improving operational efficiency, enhancing customer experience, and enabling data-driven decision-making. Technologies such as machine learning, predictive analytics, natural language processing, computer vision, and generative AI are helping insurers automate processes, assess risks more accurately, detect fraud, personalize insurance products, and expedite claim settlements. As customer expectations continue to evolve, AI has become a strategic tool for insurers seeking to remain competitive in the digital economy.
Article Landing Page
Full Text PDF
Authors: Dr. Marisakthi R
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.9
Abstract: Financial inclusion and insurance accessibility have become essential pillars of economic resilience, particularly during periods of crisis such as pandemics, natural disasters, economic recessions, climate-related events, and geopolitical conflicts. Financial inclusion ensures that individuals and businesses have access to affordable financial services, while insurance provides protection against unexpected financial losses. During crises, vulnerable populations often face reduced incomes, unemployment, health emergencies, and asset losses, making access to banking, credit, savings, and insurance crucial for recovery and long-term stability. This paper examines the significance of financial inclusion and insurance accessibility during crises, identifies the challenges limiting access to financial protection, and explores strategies for strengthening inclusive financial systems. The study concludes that expanding financial inclusion and improving insurance accessibility through digital technologies, government support, financial literacy, and
innovative insurance products can enhance economic resilience, reduce poverty, and promote sustainable development.
Article Landing Page
Full Text PDF
Authors: Dr. Saranya N
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.8
Abstract: The insurance industry is undergoing a significant transformation due to the emergence of new
and complex risks associated with climate change, cyber threats, artificial intelligence, pandemics,
geopolitical instability, demographic shifts, and rapid technological advancements. Traditional
insurance models, which were primarily designed to address predictable risks, are increasingly
challenged by the frequency, severity, and interconnected nature of emerging risks. These evolving
threats require insurers to adopt innovative risk assessment techniques, digital technologies, and
customer-centric products to remain relevant and financially sustainable. The future of insurance
lies in leveraging artificial intelligence, big data analytics, blockchain, the Internet of Things (IoT),
and predictive modeling to improve underwriting, claims management, fraud detection, and
personalized insurance services. This paper examines the concept of emerging risks, explores their
impact on the insurance industry, discusses technological innovations shaping the future of
insurance, and provides recommendations for developing resilient and sustainable insurance
systems.
Article Landing Page
Full Text PDF
Authors: Dr. Poornima P, Dr. Akila M
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.7
Abstract: The increasing frequency of global crises such as pandemics, climate change, financial instability,
cyber threats, geopolitical conflicts, and technological disruptions has highlighted the importance
of sustainable risk management in ensuring economic resilience. Traditional risk management
primarily focused on minimizing financial losses, whereas sustainable risk management integrates
environmental, social, governance (ESG), and economic dimensions to create long-term
organizational and societal resilience. Economic resilience refers to the ability of economies,
organizations, and communities to withstand shocks, adapt to changing conditions, recover
quickly, and maintain sustainable growth. This paper explores the concept of sustainable risk
management, examines the relationship between risk management and economic resilience,
identifies major risk factors affecting businesses and economies, and discusses strategies for
building resilient economic systems. The study concludes that organizations adopting sustainable
risk management practices achieve greater competitiveness, operational continuity, stakeholder
trust, and long-term economic sustainability.
Article Landing Page
Full Text PDF
Authors: Dr. Uma V
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.6
Abstract: The insurance industry is facing a drastic transformation due to interconnected and complex risks,
including cyber-attacks, climate change, pandemics, artificial intelligence, and environmental
liabilities. It is different from traditional insurance risks, as they are rapidly evolving, highly
uncertain in nature. The existing frameworks focused to address conventional insurance products
and therefore it is difficult in accommodating emerging risks. This article aims in regulating the
issues, affects emerging risk insurance and evaluates how regulatory system can develop market
resilience and policyholder protection. The recent study using analytical research based on
secondary data, there are regulatory gaps in cyber insurance, risk assessment, climate disclosures,
solvency requirements and digital innovation. The analysis recommends that international
regulatory frameworks, technology enabled, are vital for sustainable financial management. The
article recommended effective regulatory framework in managing emerging risks in future.
Article Landing Page
Full Text PDF
Authors: Dr. Santhanakrishnan D, Dr. Divya D
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.5
Abstract: The insurance sector is being reshaped by Artificial Intelligence (AI) across underwriting, claims,
and customer service, generating efficiency gains alongside emerging risks around data privacy,
cybersecurity, and algorithmic transparency. This study examines customer awareness, perceived
risks, trust, and adoption intention toward AI-enabled insurance services using primary data from
300 policyholders in Tamil Nadu, India, collected through a structured five-point Likert
questionnaire administered via convenience sampling. Reliability was confirmed (Cronbach's α =
0.891). Percentage analysis, Chi-square tests, one-way ANOVA, and multiple regression were
applied. Findings show moderate AI awareness alongside high privacy and cybersecurity concern.
Age and education are significantly associated with adoption level, and adoption and trust differ
significantly across age and income groups respectively. Regression results indicate that Trust,
Awareness, Ease of Use, and Personalisation positively predict adoption, while Privacy Concerns
and Cybersecurity Risk negatively predict it, jointly explaining 59.9% of variance (R² = 0.599).
Recommendations for transparent, secure, trust-based AI strategies are offered for insurers and
regulators.
Article Landing Page
Full Text PDF
Authors: Mr. DEVARAM N
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.4
Abstract: Business interruption insurance plays a crucial role in protecting businesses from financial losses
caused by unexpected disruptions. The COVID-19 pandemic exposed significant gaps in traditional
business interruption insurance policies, as many businesses were unable to obtain compensation
for losses resulting from government-imposed lockdowns and public health restrictions. This study
examines the role of business interruption insurance in mitigating financial losses during
pandemics and evaluates its effectiveness in supporting business continuity. A descriptive research
design was adopted, and primary data were collected from 150 respondents using a structured
questionnaire through convenience sampling. The collected data were analyzed using Percentage
Analysis and the Chi-square Test. The findings indicate that most respondents are aware of
business interruption insurance and perceive it as an effective tool for reducing financial losses
during pandemics. The study also reveals that while there is a significant association between
gender and awareness of business interruption insurance, no significant association exists between
business size and its perceived effectiveness. The study concludes that expanding policy coverage,
improving awareness, simplifying claim settlement procedures, and strengthening public-private
partnerships are essential to enhance the effectiveness of business interruption insurance. The
research provides valuable insights for insurers, policymakers, and business organizations in
developing more resilient insurance solutions for future public health emergencies.
Article Landing Page
Full Text PDF
Authors: Dr. Karthikeyan B, Dr. Panimalar A
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.3
Abstract: The global risk landscape has undergone a significant transformation over the last decade due to
the increasing frequency and severity of pandemics, cyber threats, and geopolitical conflicts. These
emerging risks have exposed the limitations of conventional insurance products and challenged
insurers to develop innovative risk management solutions. The COVID-19 pandemic resulted in
unprecedented economic disruptions, while cyber-attacks have become more sophisticated with
increasing digitalization. Similarly, political instability, trade restrictions, sanctions, and armed
conflicts have intensified uncertainties affecting businesses and investments worldwide. This paper
reviews the evolving nature of emerging risks and examines the role of the insurance industry in
strengthening economic resilience. The study adopts a literature review methodology using reports
from international organizations, insurance regulators, and academic journals. The analysis
highlights the need for technological innovation, public-private partnerships, regulatory reforms,
and advanced risk assessment models to ensure sustainable insurance coverage. The paper
concludes with policy recommendations for insurers, governments, and businesses to improve
preparedness against future emerging risks.
Article Landing Page
Full Text PDF
Authors: Dr. Jenesiszodykha V
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.2
Abstract: Financial inclusion is a key driver of sustainable economic growth and gender equality especially
in rural India. While the formal banking mechanisms have grown faster, the vulnerable population
like rural women are highly susceptible to sudden socio-economic shocks, vagaries of climate and
health crises. The paper discusses about the literature review on role of micro insurances as a
strategic tool to bridge this security gap and fostering the financial inclusion of rural women in
India. The paper discusses the current scenario of micro-insurance delivery models such as SHG
linkages and public-private partnership models. Study has been done on the basis of secondary
data and information from the academic journals, industry reports and regulatory frameworks of
Insurance Regulatory and Development Authority of India (IRDAI). The review shows that the
implementation of customised micro-insurance schemes can offer a substantial financial safety net
to women in rural areas, thereby decreasing their indebtedness and improving their socio
economic resilience. However, the study highlights major structural challenges that hinder mass
adoption including low financial literacy, complex claim settlement processes, trust issues and lack
of gender-sensitive product design. The paper concludes with policy recommendations which
primarily focus on improvement of digital mobile based delivery channels, simplification of
documentation and targeted financial awareness campaigns. The review concludes by suggesting
that the integration of micro-insurance into wider financial literacy programmes will be essential
in transforming rural women from passive financial participants into powerful economic agents.
Article Landing Page
Full Text PDF
Authors: Sharfunisa N, Rakesh Rao, Sandhya M
Published In: INSURING EMERGING RISKS ADDRESSING PANDEMICS CYBER ATTACKS AND POLITICAL ISSUES
ISBN: 978-81-687720-2-1
Publication Date: 2026-07-17
DOI:
https://doi.org/10.67313/stanzaleafbookchapter.2026.1
Abstract: Artificial Intelligence (AI) and Big Data are transforming the insurance industry by improving the
accuracy, efficiency, and speed of risk assessment. Traditional risk assessment methods rely
heavily on historical data and manual underwriting, which may not fully capture complex and
dynamic risk patterns. AI technologies, including machine learning, deep learning, and predictive
analytics, enable insurers to analyze vast amounts of structured and unstructured data from
multiple sources such as customer records, social media, telematics, wearable devices, and IoT
sensors. Big Data enhances decision-making by providing real-time insights into customer
behavior, fraud detection, claims management, and personalized insurance products. These
technologies help insurers accurately predict risks, optimize premium pricing, reduce operational
costs, and improve customer satisfaction. However, challenges such as data privacy, cybersecurity,
algorithmic bias, regulatory compliance, and ethical concerns must be addressed to ensure
responsible implementation. This study examines the role of AI and Big Data in modern insurance
risk assessment, highlighting their benefits, applications, challenges, and future prospects. The
findings suggest that integrating AI with Big Data analytics has the potential to create a more
efficient, transparent, and customer-centric insurance ecosystem while strengthening risk
management practices.
Article Landing Page
Full Text PDF