Strategic Digital Engagement: Optimizing AI-Driven Loyalty Programs and Repeat Purchase Dynamics in Luxury UK Hospitality Brands
Authors: Akshatha
Abstract: With the advent of AI and predictive customer behaviour, the luxury hospitality industry is undergoing a significant transformation in how organisations engage with guests and build long-term loyalty. AI-powered analytics enables real-time, continuous insights into consumer behaviour, far beyond what traditional segmentation methods can deliver. Machine learning algorithms uncover complex patterns, forecast future preferences, and deliver personalised experiences at scale shifting the focus from reactive customer service to predictive relationship management. Yet algorithmic intelligence carries limitations: over-reliance on data-driven systems risks overlooking the emotional and situational dimensions of consumer conduct. This paper develops a strategic service-operations framework illustrating how AI-driven CRM systems can leverage algorithmic consumer behaviour to optimise repeat purchase and customer retention dynamics for luxury UK hospitality brands.
Analysis of Third-Party Logistics (3pl) Warehousing
Authors: Pramod Lukose
Abstract: Third-party logistics (3PL) warehousing has become an important component of contemporary supply-chain management because firms increasingly seek flexible, scalable, technology-enabled, and cost-efficient logistics operations. This article analyzes the role, operating characteristics, benefits, challenges, technology requirements, and strategic implications of 3PL warehousing, with particular attention to the Indian logistics environment. The study adopts a conceptual and analytical approach based on secondary sources, including academic literature, industry reports, and institutional publications. The analysis indicates that 3PL warehouses can improve inventory visibility, distribution flexibility, asset utilization, order fulfillment, and access to specialized logistics capabilities. At the same time, organizations may face challenges involving service-level dependence, information integration, inventory accuracy, cybersecurity, contract governance, hidden costs, and loss of direct operational control. Warehouse management systems, barcode and RFID technologies, cloud platforms, automation, analytics, and artificial intelligence are increasingly shaping the performance of 3PL facilities. The article argues that successful 3PL warehousing requires more than outsourcing physical storage; it requires strategic alignment among warehouse processes, information systems, transportation, inventory policies, service-level agreements, and performance measurement. For Indian businesses, the expansion of organized retail, e-commerce, manufacturing networks, and multimodal logistics creates substantial opportunities for 3PL warehousing providers. The article concludes with managerial recommendations and directions for future empirical research.
DOI: http://doi.org/10.5281/zenodo.22845285
Artificial Intelligence, Talent Analytics, And Job Satisfaction Among Generation Z: Evidence From Chennai’s Information Technology Workforce
Authors: Mrs. A. Josephine Reena, Dr. K. Famitha Begum
Abstract: Artificial Intelligence (AI) and talent analytics are increasingly transforming Human Resource Management (HRM) by enabling data-driven recruitment, performance evaluation, personalized learning, workforce planning, career development, and employee engagement. This study examines the relationship between Artificial Intelligence, talent analytics, and job satisfaction among Generation Z employees working in the Information Technology sector in Chennai. The study adopts a descriptive and empirical research design and considers a proposed sample of 120 Generation Z IT employees. Primary data are collected through a structured questionnaire, focusing on AI-enabled HR practices, talent analytics, employee trust, career development support, and job satisfaction. The illustrative findings indicate that Generation Z employees demonstrate generally positive perceptions toward AI-enabled HR practices, particularly regarding time savings, personalized learning, and improved access to HR services. Talent analytics is also perceived positively, especially in identifying relevant training requirements, supporting performance improvement, and facilitating skills and career development. The correlation results indicate positive relationships among AI-enabled HR practices, talent analytics, employee trust, career development, and job satisfaction. The illustrative regression model indicates that AI-enabled HR practices, talent analytics, employee trust, and career development support are significant predictors of job satisfaction, jointly explaining 62.9% of its variance. The study emphasizes that the effectiveness of AI-enabled HRM depends not only on technological capabilities but also on transparency, privacy, fairness, employee trust, human oversight, and meaningful career support. The study concludes that a human-centered approach combining AI and talent analytics with personalized development and managerial support can contribute to a more responsive workplace for Generation Z employees in Chennai's IT sector.
DOI: https://zenodo.org/records/23010778
A Study On The Effectiveness Of AI Technology In Financial Services Among Retail Customers In Chennai
Authors: Dr. K. Vinayagam, Dr. V. Vetrivel, Dr. A. Gokulakrishnan, Dr. P. Sasikumar
Abstract: Artificial Intelligence (AI) and digital technologies are increasingly transforming financial services by improving convenience, accessibility, personalization, transaction efficiency, fraud detection, and customer support. The present study examines the effectiveness of technology in financial services among retail customers in Chennai, with particular attention to technology adoption, customer satisfaction, demographic influences, and the emerging role of AI-enabled financial services. The study adopts a quantitative research design and uses primary data collected from 300 retail customers in Chennai through a structured survey. The study uses descriptive statistics, Chi-square analysis, ANOVA, correlation, and multiple regression to examine technology usage and customer satisfaction. The findings indicate significant differences in satisfaction across income groups (F = 5.23, p < .05), a significant association between education level and financial technology usage (χ² = 18.45, p < .001), and a moderate positive correlation between technology usage and customer satisfaction (r = .58). Multiple regression results indicate that education level, income level, and technology usage significantly predict customer satisfaction, whereas age and gender are not statistically significant predictors. The study further highlights the potential of AI and related technologies to support personalized financial services, fraud detection, risk management, and improved customer experience. However, cybersecurity, privacy, digital literacy, accessibility, and trust remain important considerations. The study recommends strengthening cybersecurity, improving digital literacy, developing user-friendly interfaces, providing customer support, and implementing responsible AI practices to improve the effectiveness and inclusiveness of technology-enabled financial services in Chennai.
DOI: http://doi.org/10.5281/zenodo.23079620
Reimagining Nature: Ecological Crisis, Human Identity, And Environmental Consciousness In Canadian Literature
Authors: Dr. J. Felcia Pushpalatha
Abstract: Canadian literature has long been shaped by the country's diverse landscapes, including forests, rivers, oceans, Arctic regions, and rural environments. In contemporary Canadian writing, however, nature is increasingly represented not merely as a scenic background or national symbol but as an active force connected with human identity, cultural memory, ecological crisis, and survival. This paper examines the reimagining of nature in Canadian literature through an ecocritical perspective, focusing on the changing relationship between human beings and the natural environment. Particular attention is given to Margaret Atwood's Oryx and Crake (2003), Lee Maracle's Celia's Song (2014), Cherie Dimaline's The Marrow Thieves (2017), and Waubgeshig Rice's Moon of the Crusted Snow (2018). These texts present different representations of environmental degradation, climate change, technological intervention, colonialism, Indigenous ecological knowledge, and community survival. The analysis demonstrates that contemporary Canadian literature challenges anthropocentric assumptions by presenting humans as deeply embedded within ecological systems. The selected Indigenous texts further broaden ecological discourse by emphasizing reciprocity, land-based identity, cultural memory, and collective responsibility. Atwood's speculative fiction highlights the consequences of technological control over biological life, while Dimaline and Rice connect ecological instability with Indigenous survival and colonial histories. Maracle's work foregrounds relational understandings of humans, land, animals, and community. The study argues that Canadian literature contributes to environmental consciousness by transforming nature from a passive literary setting into an active participant in questions of identity, ethics, survival, and social justice.
DOI: http://doi.org/10.5281/zenodo.23096070
Aquaculture Waste Valorization: A Quantitative Review of Fish Processing Waste, Bioactive Compounds and Value-Added Products
Authors: Assistant Professor Dr. M. Stephen
Abstract: The rapid expansion of aquaculture and fish processing has increased the generation of nutrient-rich processing by-products, creating both an environmental challenge and an opportunity for circular bioeconomy development. Global aquaculture production of aquatic animals exceeded 100 million tonnes in 2024, while total global fisheries and aquaculture production reached approximately 235 million tonnes, highlighting the increasing volume of biomass entering aquatic-food value chains. Fish processing can generate approximately 30–70% of the original fish biomass as side streams, including heads, viscera, skin, bones, frames, fins and scales. These materials contain proteins, collagen, gelatin, peptides, lipids, omega-3 fatty acids, minerals and other bioactive compounds that can be recovered through extraction, hydrolysis, fermentation and biorefinery approaches. Tilapia processing provides a representative example: fillets generally constitute only 30–33% of whole-fish weight, leaving approximately 67–70% as processing by-products. Quantitative evidence demonstrates substantial recovery potential. Fish scales and bones can contain approximately 30–40% organic collagen matrix and 60–70% hydroxyapatite, while recent extraction approaches have reported collagen yields of up to 25–35%. Experimental studies have reported collagen yields ranging from less than 1% to more than 50%, depending on species, tissue, pretreatment and extraction method. Fish-processing lipids also represent an important source of omega-3 fatty acids, with EPA and DHA frequently detected at biologically relevant proportions in viscera, liver, heads and frames. This review quantitatively examines the magnitude of fish-processing waste, composition of major by-products, recovery of collagen, protein hydrolysates and omega-3 lipids, and their conversion into food, nutraceutical, pharmaceutical, cosmetic, biomedical, agricultural and biomaterial products. The review further evaluates technological limitations, economic considerations and future directions for integrated zero-waste aquaculture and fish-processing systems.
Antibacterial Activity Of Ethanol And Benzene Extracts Of Groundnut (Arachis Hypogaea L.) And Sesame (Sesamum Indicum L.) Seeds Against Selected Pathogenic Bacteria
Authors: Selva Shamal V P, Juwairiya Nasreen J, Irene Amutha A
Abstract: The increasing emergence of antibiotic-resistant microorganisms has intensified interest in plant-derived antimicrobial agents. In the present study, the antibacterial activity of ethanol and benzene extracts of groundnut (Arachis hypogaea L.) and sesame (Sesamum indicum L.) seeds was evaluated against two Gram-positive bacteria (Bacillus subtilis and Staphylococcus aureus) and two Gram-negative bacteria (Escherichia coli and Pseudomonas aeruginosa) using the disc/agar diffusion (Kirby–Bauer) method, with Amikacin as the standard control. Groundnut benzene extract produced the largest zone of inhibition against E. coli (20 mm), exceeding the standard control (16 mm), while groundnut ethanol extract showed the highest activity against Pseudomonas aeruginosa (18.6 mm) and Staphylococcus aureus (18 mm). Sesame extracts also showed appreciable activity, particularly against E. coli (19.0-19.4 mm), though generally lower than groundnut extracts. Bacillus subtilis showed moderate inhibition (14-15 mm) across all extracts. Overall, groundnut extracts, particularly the ethanol extract, exhibited comparatively higher antibacterial activity than sesame extracts, and both seed extracts were effective against Gram-negative as well as Gram-positive bacteria. These findings support the potential of groundnut and sesame seed extracts as natural antibacterial agents and provide a basis for further isolation and evaluation of their active constituents.
DOI: http://doi.org/10.5281/zenodo.23097129
Vermicomposting as a Sustainable Strategy for Organic Waste Management, Nutrient Recovery and Circular Agriculture: A Quantitative Review
Authors: Assistant Professor Dr. M. Stephen
Abstract: Rapid urbanization, agricultural intensification and expansion of food-processing industries have resulted in increasing quantities of biodegradable organic waste. Conventional disposal methods such as open dumping and landfilling can cause nutrient losses, greenhouse-gas emissions, odour generation and contamination of soil and water. Vermicomposting offers an alternative biological technology in which earthworms and associated microorganisms convert organic residues into stabilized, nutrient-rich vermicompost. This review evaluates the quantitative evidence for vermicomposting with particular emphasis on organic-matter degradation, nutrient recovery, physicochemical stabilization, earthworm performance, agricultural benefits and environmental sustainability. Reported studies demonstrate substantial nutrient enrichment during vermicomposting. For example, vermicomposting of food-industry waste increased total nitrogen by 60–214%, available phosphorus by 35.8–69.6% and potassium by 43.7–74.1%, while organic carbon decreased by 28.4–36.1% and the C:N ratio declined by 61.2–77.8% after 15 weeks. A recent agricultural-waste study using Eisenia fetida reported a reduction in C:N ratio from 26.43 to 12.23, with the optimized treatment containing 2.63% nitrogen, 1.21% phosphorus and 1.45% potassium. Recent research further demonstrates the potential of vermicomposting to recover nutrients while reducing the environmental burden associated with organic waste disposal. The review therefore considers vermicomposting not merely as a waste-treatment process but as a nutrient-recovery, soil-restoration and circular-bioeconomy technology.
Empathy Across Species: Alien Subjectivity and Ethical Coexistence in Contemporary Science Fiction
Authors: Assistant Professor G. Shalom
Abstract: Contemporary science fiction has increasingly shifted its focus from narratives of alien invasion and conflict toward representations of empathy, interspecies understanding, and ethical coexistence. This transformation reflects broader cultural concerns regarding diversity, environmental interconnectedness, posthuman identity, and the ethics of engaging with the unknown. The present study examines how contemporary science fiction constructs alien subjectivity and explores the potential for empathetic relationships between humans and non-human intelligences. Through a qualitative textual analysis of selected science fiction novels, films, and television narratives produced during the twenty-first century, the research investigates the narrative strategies used to represent alien consciousness and ethical interaction. The study identifies several recurring themes, including the recognition of alien agency, communication across cultural and biological boundaries, emotional reciprocity, and the development of cooperative futures. Unlike traditional science fiction, which frequently portrayed aliens as existential threats, contemporary works increasingly depict them as complex beings possessing emotions, values, and perspectives that challenge anthropocentric assumptions. These narratives encourage readers and audiences to reconsider concepts of identity, personhood, and moral responsibility beyond the human species. Results indicate that empathy functions as a central mechanism for reducing fear and fostering ethical coexistence. Alien subjectivity is often represented through alternative modes of communication, shared experiences of vulnerability, and narratives of mutual adaptation. Such portrayals promote a broader ethical framework that extends moral consideration to diverse forms of life and intelligence. Furthermore, contemporary science fiction frequently employs posthuman perspectives to question rigid boundaries between self and other, human and alien, and nature and technology. The study concludes that empathy-driven representations of alien life contribute significantly to contemporary debates on ethics, multiculturalism, environmental stewardship, and global coexistence. By imagining futures founded on understanding rather than domination, contemporary science fiction offers valuable insights into the possibilities of interspecies cooperation and the development of inclusive ethical communities.
English Media Exposure And Oral Presentation Performance Among Postgraduate Students In Selected Nigerian Universities
Authors: Cecilia Banke Adeleye, Matthew Temitayo Olatunde, Emmanuel Tumise-Ojo
Abstract: English media provides postgraduate students with frequent opportunities to encounter and engage with English beyond formal academic settings. However, the extent to which such exposure relates to oral presentation performance among postgraduate students in Nigerian universities remains insufficiently established. This study examined the relationship between English media exposure and self-reported oral presentation performance, including the moderating effects of age and gender. A quantitative cross-sectional design was adopted. Data were collected through a structured questionnaire from 600 postgraduate students selected from one university in each of Nigeria’s six geopolitical zones. Descriptive statistics and Partial Least Squares Structural Equation Modelling were used to analyse the data, including moderation effects.: English media exposure recorded a moderate level (M = 3.11, SD = 0.67), while self-reported oral presentation performance was also moderate (M = 3.23, SD = 0.86). English media exposure had a positive and statistically significant association with oral presentation performance (β = 0.652, p < 0.001), explaining 42.6% of its variance. Age significantly moderated the relationship (β = 0.112, p < 0.001), whereas gender did not (β = -0.007, p = 0.798).English media exposure was positively associated with postgraduate students’ self-reported oral presentation performance, with the relationship varying by age but not gender. The findings support greater attention to purposeful English media engagement in postgraduate academic contexts.
DOI: https://doi.org/10.5281/zenodo.23367691
The Presence And Persistence Of Emanation And Residuum In Transgender Identity
Authors: Dr. Thamodaran N, Dr. M. Christy Nivetha
Abstract: This article investigates transgender identity by employing the philosophical concepts of residuum and emanation. Residuum is the persistent remnant of identity that persists despite suppression or erasure, while emanation is the outward expression of identity through embodiment, language, and social interaction. In this paper, the argument is made that transgender identity is a dynamic unfolding and an irreducible persistence, drawing on psychological, sociological, and cultural studies. The dual framework offers a conceptual lens that connects philosophy and lived experience, providing new insights into the politics of identity, recognition, and resilience.
DOI: https://doi.org/10.5281/zenodo.23534229
Gallstone Disease Prediction With Explainable Artificial Intelligence
Authors: Pureti Anusha, M. Radhika
Abstract: Gallstone disease (GSD) is one of the most frequently encountered digestive disorders in adults, and it often stays silent until it produces pain, infection or blockage of the bile ducts. Because its early symptoms overlap with many other abdominal conditions, a timely and confident diagnosis is not always possible, and imaging is not available at every point of care. This work presents a machine learning frameworsk that estimates gallstone risk from routinely recorded demographic, bioelectrical impedance and blood test parameters, and that explains every prediction it makes. A public dataset of 319 patients from the UCI repository is cleaned, scaled and encoded, after which four feature configurations are prepared: all attributes, attributes chosen through a correlation heatmap, attributes ranked by the ANOVA F-test, and the overlap of the last two. Seven classifiers, namely Random Forest, Support Vector Machine, Gradient Boosting, Logistic Regression, AdaBoost, Decision Tree and a Bagging ensemble, are trained under stratified five-fold cross-validation, giving 28 model–configuration pairs in total. The Support Vector Machine trained on correlation-selected features gives the strongest result, with 83.33% accuracy, 85.42% sensitivity and an area under the ROC curve of 88.80%. SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) are then attached to this model. Both methods point to Vitamin D, C-reactive protein, bone mass, aspartate aminotransferase and hepatic fat grade as the dominant drivers of risk. The outcome is a transparent, low-cost screening aid that can help physicians flag likely gallstone cases early and understand why the system reached each decision.
DOI: https://doi.org/10.5281/zenodo.23595845