Kannan Thomas Felix

The integration of artificial intelligence (AI) into tourism marketing has significantly transformed how destinations and hospitality firms design, promote, and deliver sustainable tourism products. AI-based tools such as recommender systems, chatbots, sentiment analysis, and predictive analytics increasingly influence tourist decision-making while enhancing personalized and sustainable travel experiences. Despite growing academic interest at the intersection of AI, sustainability, and tourism marketing, existing research remains fragmented across disciplines, lacking a unified intellectual and thematic structure. This chapter presents a bibliometric review of global research in this domain using Scopus data analyzed through Bibliometrix and VOSviewer. It examines publication trends, citation patterns, key contributors, and collaboration networks, while also mapping keyword co-occurrence and thematic evolution. The study highlights a shift toward interdisciplinary themes such as ethical AI, consumer trust, and data-driven sustainable marketing.

Digital technologies dominate modern entrepreneurship, yet rural women face a persistent digital divide shaped by gender, geography, caste, and class. This chapter provides a bibliometric review of rural women's digital micro-enterprises, examining intersectional barriers and empowerment pathways. Using the Bibliometrix package and PRISMA framework, the study analyzes trends, influential authors, and thematic clusters from Scopus. Key findings highlight themes like digital literacy, mobile commerce, and social capital, while revealing a significant lack of research regarding caste and regional marginalization. Major gaps include a scarcity of longitudinal studies and limited coverage of remote, disadvantaged communities, signaling a need for transdisciplinary research. Policy recommendations advocate for inclusive digital ecosystems supported by NGOs, self-help groups, and government initiatives, paired with feminist strategies to mitigate exclusion. Ultimately, the chapter calls for equity-driven innovation aligned with SDG 5, 8, and 10 to ensure a more inclusive digital future.

The Food Supply Chain (FSC) is a vital yet complex system increasingly vulnerable to crises such as pandemics, climate change, geopolitical conflicts, and economic downturns. These disruptions expose systemic weaknesses, affecting food security, accessibility, and affordability, especially for marginalized populations. This paper reviews the multifaceted challenges facing the FSC, analyzing the impacts of global crises like COVID-19 and the interplay of factors contributing to food insecurity. It examines vulnerabilities, including production challenges, transportation bottlenecks, and food waste, while highlighting the role of stakeholders—governments, the private sector, agribusiness, civil society, and local communities—in crisis management. The study explores resilience strategies such as blockchain, IoT, localized food systems, and adaptive policies. It proposes future directions for sustainable food systems, emphasizing climate-resilient agriculture, strengthened supply chains, technological advancement, and equity, ensuring food security for all.

Digitisation of business processes has also created a major transformation in the way organisations interact with customers and create leads. CRM systems which were once naive databases of contacts have grown to be sophisticated, cloud-based applications like Salesforce, HubSpot and Zoho. These systems are now automated with artificial intelligence (AI) and machine learning (ML) that allows businesses to automate the operations, lessen manual work and improve strategic decision making. The use of AI and ML enhance CRM by allowing predictive scoring of leads, predicting churn and making individual recommendations based on the behaviour of customers. Customer Data Platforms (CDP) bring together channel-based information to enable personalisation and real-time customer insights. Scopus and Web of Science Bibliometric analysis indicate a decrease in the growth of publications and an increase in their impact on citations. China and India are the primary focus points of research production, with the US taking the lead.

India, with 60% of its population reliant on agriculture, faces challenges like soil degradation and excessive chemical use, threatening sustainability. Despite ranking second in global organic farmland and first in organic producers, India lacks comparative studies on the profitability of organic versus conventional farming. This study addresses this gap through a cost-and-return analysis of organic and conventional banana farming in Tamil Nadu. Using multistage sampling, 40 organic and 40 conventional farmers from Coimbatore were surveyed. Results show organic farming has 13.56% higher production costs but earns higher net income (₹6,12,583/ha) and a better benefit-cost ratio (3.40) than conventional farming (₹4,65,081/ha; BCR 3.07). Although yields are slightly lower, organic farming offers benefits like soil health and premium pricing. Key adoption drivers include reduced chemical use and consumer demand, while barriers include high initial costs and certification challenges. Policy support, input subsidies, and market infrastructure are essential for broader adoption.

This study investigates the socioeconomic and environmental determinants of flood vulnerability in Indian states using a panel data approach. Drawing on state-level flood damage data from 1953 to 2020, sourced from the Ministry of Jal Shakti and affiliated agencies, this study employs a robust econometric framework to identify the key drivers of flood-related damage. The dataset included 16 variables, and rigorous preprocessing steps, such as data cleaning, interpolation, stationarity testing, and multicollinearity checks, to ensure model reliability. Endogeneity was tested using IV regression, and the absence of such issues allowed for the application of Fixed Effects (FE) and Random Effects (RE) models. The Hausman test favored the RE model, which was further validated through diagnostic and robustness tests. The findings reveal that capital expenditure, government spending on natural calamities, and mangrove coverage significantly reduce flood damage, highlighting the importance of both fiscal and ecological interventions. Conversely, population affected, damage to houses, and damage to public utilities were positively associated with flood damage, indicating the need for targeted infrastructure and community resilience strategies. This study offers actionable insights for policymakers, emphasizing the integration of environmental conservation with strategic public investment to enhance flood resilience in India.

This study quantified the environmental impacts of residue burning of major produced and burned crops in Madhya Pradesh, central India. The environmental impacts were quantified using Life Cycle Assessment (LCA) coupled with Monte Carlo simulation of 1000 iterations. Crop wise marginal impacts of the crops have been quantified using Multivariate regression model. The results showed that sugarcane and rice have the highest emissions in key impact categories, such as particulate matter formation (PMF) and global warming potential (GWP), whereas wheat and maize exhibit comparatively lower impacts. The combustion of residues significantly increases marine eutrophication (MEUT), agricultural land use (ALU), terrestrial acidification (TEAF) and GWP. Each kilogram of burned residue results in an increase of 21% in MEUT, 0.05% in ALU, 0.046% in TEAF and 0.028% in GWP, intensifying climate change. The results underscore the immediate necessity for specialized residue management strategies for sugarcane and rice crops. It is advisable to utilize sustainable alternatives such as composting or biochar production to mitigate emissions and enhance soil health, thereby addressing environmental and human health issues.

Jan Nederveen Pieterse, Development Theory (2nd ed.) . UK: Sage, 2010. 272 pp, $69, ISBN: 9781412945141 (Paperback).