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Sustaining livelihoods and culture through tourism development: The case of sriniketan in West Bengal, India
The rural area of Sriniketan in West Bengal, India is full of cultural embodiments that can not only serve as a base to develop tourism but also generate sustainable livelihoods. However, the Sriniketan region suffers from chronic poverty and its unique culture is getting depleted thanks to the lack of awareness and interest among locals. With the help of the DFID Sustainable Livelihood Framework (DFID-SLF), this study tries to analyse the contributions that culture-based tourism can make towards generating sustainable livelihoods at Sriniketan. A modified SLF has been prepared with an added element of cultural capital as a contribution to the existing livelihood literature and guiding sheet for future practitioners. Based on the primary (in-depth interviews of fifteen households and five key respondents) and secondary data collected, this paper concludes that tourism development in Sriniketan can not only aid its cultural preservation but also generate an alternate source of livelihood and thereby, making both (culture and livelihoods) sustainable 2023, IGI Global. All rights reserved. -
Gamification in Tourism Teaching and Learning: Exploring the Emergent Dimensions
First introduced in 2002 by British Programmer Nick Pelling, the term gamification has gained massive momentum in the last decade with extensive applications in teaching and learning (Hebebci & Selahattin, Current Studies in Social Sciences 2021:174, 2021). In its simplest form, gamification refers to the adoption of principles and design elements of various games in nongame situations (Deterding et al. From game design elements to gamefulness: Defining gamification. In Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments (pp. 915), 2011). Further, the interaction between the students and technological interventions is rising, opening new avenues for innovative strategies like gamification to promote effective teaching and learning (Kapp, The gamification of learning and instruction: Game-based methods and strategies for training and education. Wiley, 2012). In the context of tourism, works of (Nair, B. B. Endorsing gamification pedagogy as a helpful strategy to offset the COVID-19 induced disruptions in tourism education. Journal of Hospitality, Leisure, Sport & Tourism Education, 30, 100362, 2022.) and Aguiar-Castillo, Herndez-Lez, De SaPez, and Pez-JImez (Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100267. https://doi.org/10.1016/j.jhlste.2020.100267, 2020) provide insights into the various facets of gamification as a tool for teaching and learning. However, these works hardly address the emerging issues in adoption, implementation, and barriers that have been dealt with in this chapter. Against this backdrop, the first section of this paper ventures into the various implications of gamification in the field of tourism teaching and learning. Next, taking cues from significant land marking studies, this work lists the factors responsible for making gamification an effective teaching and learning tool in tourism. Lastly, attempts have been made to underline the elements that may pose challenges in the path of the rise of gamification as a teaching and learning tool. This work can be primarily classified as a conceptual paper with a systematically drawn inductive approach. Majority of the paper has been drafted based on the review of critical works derived from the search of keywords such as gamification and tourism and teaching and learning on major search engines such as Scopus, Web of Science, and JSTOR. The authors conclude that gamification as a teaching and learning tool in tourism education is still its necesent stages of implementation, and there are an equal number of challenges that need to be addressed before it (gamification) becomes a mainstream tool in tourism teaching and learning. Springer Nature Singapore Pte Ltd 2024. -
Artificial Intelligence in Forecasting: Tools and Techniques
Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how its accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Whispered speech emotion recognition with gender detection using hybridopti-gendernet
The Whispered Speech Emotion Recognition (SER) presents special challenges because it does not involve the vibration of vocal folds and less acoustic information, which makes it more difficult to identify the nuances of emotions and gender-related peculiarities than in normal speech. The research presents a new system, HybridOpti-GenderNet, of concurrent whispered speech emotion and gender recognition. It is a framework of six stages are data collection, pre-processing, feature extraction, feature selection, gender detection, and emotion recognition (ER). A Red Butterfly Optimization Algorithm (RBOA), which uses Butterfly Optimization Algorithm (BOA) and Red Kite Optimization Algorithm (ROA) by adjusting the weight to achieve optimal feature selection, is proposed to achieve a better balance between exploration and exploitation. Gender identification is carried out with the proposed HybridOpti-GenderNet, a new hybridization of Bi-LSTM and DCNN, and ER is accomplished with the help of the Attention-Enhanced Hybrid Belief Network (AHBN) that incorporates Deep Belief Network (DBN), Feedforward Neural Network (FNN) & a tailor-made attention mechanism to detect delicate emotional signals. The innovativeness of the given work is that the gender-informed recognition is combined with a high-level optimization and a hybrid deep learning pipeline that enhances the robustness of the analysis of whispered speech significantly. The system was tested in Python and tested on the GeWEC and EMO-DB data, showing superior performance in cases of privacy preservation, noisy conditions, and real-life human-computer interaction. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
A LLM-Powered Approach for Generating Meeting Minutes from Audio Conversations
Accurate documentation of meetings is essential for effective communication, decision-making, and accountability across various settings, including corporate environments, academic discussions, research collaborations, project reviews, and multi-stakeholder forums. Manual note-taking is often error-prone and time-consuming, highlighting the need for automated solutions. This paper proposes an LLM-based approach for generating structured Minutes of Meeting (MoM) from audio recordings. The method begins with audio transcription using the Vosk model, followed by grammatical and punctuation recovery to enhance text readability. The preprocessing step cleans and segments the transcribed text. Named Entity Recognition (NER) is applied to identify relevant entities such as names, dates, and organizations. The method then segments the conversation into topical sections aligned with the meeting agenda. A Large Language Model (LLM), named OpenAI, has been used to produce abstractive summaries. An action item extraction module identifies tasks, responsible individuals, and deadlines. A speaker analysis component highlights principal participants in decision-making processes. The system organizes the final output into a structured format, such as JSON or PDF, for easy access and distribution. This end-to-end approach enhances the clarity, accessibility, and utility of meeting documentation, reducing manual effort and improving organizational productivity. 2025 IEEE. -
Business Resilience
Business resilience has emerged as one of the key elements for ensuring the survival and success of the organization in the 21st century which has been marked by socio-economic crisis, notable disruptions, and tumultuous market shifts. The term Business resilience is defined as the capacity of an organization to navigate through adversity, adapt to changing conditions, and emerge stronger from setbacks. Financial, operational, organizational, digital, and supply chain resilience are among the measures that resilient organizations invest on. Companies that are financially strong put careful money management first and protect shareholders wealth. Organizational resilience promotes flexibility and ongoing learning, whereas operational resilience guarantees the continuation of vital business operations. While supply chain resilience concentrates on minimizing disruptions, digital resilience entails strong cybersecurity measures. Effective leadership is essential for managing uncertainty, and a flexible strategy for enhancing resilience guarantees continuous adjustment. In the end, corporate resilience is about overcoming hardship and integrating resilience as a strategic requirement for sustained success in a changing business climate. 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
MetaMinds and digital realms: Deciphering Gen Z consumer behavior in metaverse marketing
This conceptual research paper explores the innovative convergence of virtual reality (VR), augmented reality (AR), and digital spaces as it dives into the complex dynamics of Gen Z consumer behavior within the metaverse. Businesses and scholars alike face hurdles in comprehending the complex preferences, motives, and decision-making processes of this generation of digital natives, as traditional marketing tactics undergo a metamorphosis in the aftermath of the metaverse. Understanding the nuances of Gen Z's interactions in this immersive digital world is crucial for businesses looking to connect and engage with this significant consumer generation as the metaverse becomes an increasingly important part of everyday life. Thus, this study also attempts to understand the awareness about metaverse among Gen Z and the challenges faced during the act of purchase in a meta environment. 2025 by Priyakrushna Mohanty, Aarthy Chellasamy and Aishwarya Nagarathinam. All rights reserved. -
Click, Pay, Sustain: The Emergence of Green Digital Payment Systems Within ESG Frameworks
Digital payment systems have become central to contemporary financial infrastructures, yet their contribution to sustainability and ESG outcomes remains conceptually fragmented. This study develops an integrative framework explaining how FinTech innovations shape sustainability in digital payment ecosystems. Drawing on a structured thematic analysis of academic and policy literature, the paper proposes the FinTech InnovationPerformanceAnalyticsESG (FIPAE) Framework, which positions technological innovation as a driver mediated by organisational performance and analytical capacities. The framework clarifies pathways linking digital paymentinnovation to environmentalresponsibility, governance compliance, and social impact, offering a foundation for future empirical research and policy-oriented analysis. Copyright 2026, IGI Global Scientific Publishing. -
How Much Governance Is Too Much?: Framing Future Directions for State Involvement in Sustainable Dark Tourism
With the growing institutionalisation of dark tourism into national heritage discourses and tourism economies, the issue of what level of state intervention is most appropriate has become an urgent and critical point of discussion. Although the subjects of visitor motivations, site interpretation, and ethical dilemmas have been well covered in the existing literature, the role of government in dark tourism has not received sufficient attention. The chapter fills that gap by discussing the diversity of state interventions in dark tourism through a content analysis of pertinent literature. A conceptual framework is developed that indicates five key areas of intervention in dark tourism governance: cultural heritage policy, security and risk regulation, mobility control, heritage protection, and community engagement. These are connected to two clusters of intended governance outcomes: sociocultural goals such as peacebuilding and reconciliation, and experience-focused aims including ethical interpretation and visitor management. Instead of taking a normative stance on whether state involvement is inherently either excessive or insufficient, the chapter advocates for a more situated and reflexive approach. It emphasises the need to understand dark tourism governance as context-dependent, shaped by site-specific histories, political legitimacy, and the tension between memorialisation and commodification in practice. 2026 selection and editorial matter, Pawan Kumar, Gurmeet Singh, Vipin Nadda, Bindu Aggarwal and Ranjeet Verma. -
A Framework for Smart Innovations in Islamic Pilgrimage: Utilizing AI and IoT within the Context of Halal Tourism
Despite growing discourse on smart tourism and AI applications in travel, limited scholarly attention has been given to understanding the reasons for the growth of AI usage and the various facets of its application, specifically within Islamic pilgrimage. This includes the absence of a developed framework for innovative inventions. This paper addresses the research gap by exploring how AI and IoT technologies can transform halal tourism management, focusing on the Hajj and Umrah pilgrimages. The paper deals with three objectives: (1) To understand the reasons for the growth of AI usage in halal tourism with special reference to Islamic Pilgrimage, (2) to examine the various facets of AI usage in Islamic pilgrimage, and (3) to develop the framework for Smart inventions in Islamic pilgrimage. Methodologically, this is a conceptual paper grounded in a secondary literature review. It incorporates a thematic content analysis of both academic publications and gray literature. With this approach, the researchers were able to gain a holistic view of how AI can intersect with Islamic pilgrimage and halal tourism. The results are demonstrated through the ideation of the FSIIP framework. This framework highlights AIs vital role in improving pilgrims experiences through tailored services, streamlining crowd control, and advancing sustainability through astute resource management. 2026 by Priyakrushna Mohanty, M Sharanya and Saurabh Bharti. -
Embracing edge computing: Elevating marketing intelligence across Asian business horizons
This research paper investigates the transformative potential of Edge Computing within the Asian business landscape, with a specific focus on India and China. It also aims to understand the implications of edge computing in the domain of market intelligence in the Asian business setup. The study falls into the category of exploratory research. It is based on the systematic review of academic literature related to edge computing and frontier technology advancements in Asian countries. The findings suggest that Edge Computing has the potential to bridge the technology gap in Asia, offering governments and businesses the means to reach wider audiences and accelerate innovation. Edge Computing is in the early stages of mass adoption, especially in the Asian context. Hence, this viewpoint article sets itself apart by enunciating the structure and approach in which the Asian business landscape can make use of edge technologies. The practical implications of this study lie in its potential to inform policymakers, businesses and technology innovators in Asia about the opportunities presented by Edge Computing. By understanding the tailored approaches taken by India and China, stakeholders can better harness Edge Computing to drive economic development, bridge technology disparities and enhance their global competitiveness. 2025 Priyakrushna Mohanty and Khushi Vasudev. All rights reserved. -
Exploration of Chemical Reaction Effects on Entropy Generation in Heat and Mass Transfer of Magneto-Jeffery Liquid
In many chemical engineering processes, a chemical reaction between a foreign mass and the fluid does occur. These processes find relevance in polymer production, oxidation of solid materials, ceramics or glassware manufacturing, tubular reactors, food processing, and synthesis of ceramic materials. Therefore, an exploration of homogeneous first-order chemical reaction effects on heat and mass transfer along with entropy analysis of Jeffrey liquid flow towards a stretched isothermal porous sheet is performed. Fluid is conducting electrically in the company of transverse magnetic field. Variations in heat and mass transfer mechanisms are accounted in the presence of viscous dissipation, heat source/sink and cross-diffusion aspects. The partial differential equations system governing the heat transfer of Jeffery liquid is reformed to the ordinary differential system through relevant transformations. Numerical solutions based on Runge-Kutta shooting method are obtained for the subsequent nonlinear problem. A parametric exploration is conducted to reveal the tendency of the solutions. The present study reveals that the Lorentz force due to magnetism can be used as a key parameter to control the flow fields. Entropy number is larger for higher values of Deborah and Brinkman numbers. It is also established that the concentration species field and its layer thickness of the Jeffery liquid decreases for a stronger chemical reaction aspect. To comprehend the legitimacy of numerical results a comparison with the existing results is made in this exploration and alleged an admirable agreement. 2018 Walter de Gruyter GmbH, Berlin/Boston 2018. -
Management practices on execution effectiveness of strategies based on Thirukkural
Thirukkural by Thiruvalluvar contains couplets that speak about the morale necessary for an individual based on the roles played in various circumstances of life. These are applied to various fields including management even today. In this chapter, the authors conduct a narrative analysis on two major aspects of management skills to be inculcated in managers for successful progression of the organization. Execution is one such important aspect of management which plays a significant role in constructing effective doable strategies and executing the strategies without delay after proper analysis, thus sustaining the motivation level of the team and progress. 2024, IGI Global. All rights reserved. -
Cognitive synergy: Enhancing late career engagement with ergonomic solutions
The chapter explores the intricate relationship between cognitive ergonomics and late career employees, emphasizing the challenges and opportunities of an aging workforce. It combines research findings and case studies to understand how cognitive aging affects job performance and satisfaction. A central theme is the importance of technology training and support for older workers. As technology advances, organizations must ensure their older employees have the skills to navigate these changes. This includes training in new software and tools, and ongoing support. Flexible work arrangements are also crucial, reducing stress and fatigue from long commutes and rigid schedules. Health screenings and age-friendly workplaces are key. Regular health screenings and access to healthcare can address physical and cognitive challenges. Designing workspaces and processes for older workers fosters inclusivity and diversity. In conclusion, the chapter offers recommendations for organizations to leverage the late career workforce. 2024 by IGI Global. All rights reserved. -
Regression Analysis as a Metric for Sustainability Development: Validation of Indian Territory
The 2030 Development Agenda styled' Transforming our world The 2030 Agenda for Sustainable Development' was hugged by the transnational locales of the UN General Assembly in 2015. Monitoring the progress of countries towards achieving these pretensions is pivotal for sustainable development. This exploration paper offers an innovative stance toward foretelling the SDG Index of Indian states for the near future times using machine learning ways, logical and visualization tools. The paper focuses on India's sweats towards achieving the SDGs and investigates the factors impacting the SDG performance of individual Indians states. A comprehensive dataset is collected, encompassing a wide range of socio-profitable pointers, demographic data, and environmental criteria applicable to each SDG target. Literal SDG Index scores and corresponding state-specific data are collected to assay and find some trends. The study demonstrates the eventuality of vaticination ways in vaticinating the unborn SDG Index scores of Indian states. The time series graph showcases varying degrees of delicacy across different SDGs, indicating the complexity and diversity of experimental challenges. 2024 IEEE. -
Extricating the Association Between the Prognostic Factors of Colorectal Cancer
Purpose: Colorectal cancer (CRC) is one of the recurring and lethal gastrointestinal tract disease rankings as the primary cause of worldwide morbidity and mortality. In general, the tumour node metastasis (TNM) and Dukes classification assist in diagnosis, prognosis and treatments of CRC along with haematological examinations and tumour demographic characterisations in patients. Methods: The present investigation is carried out on clinically acknowledged sixty-five CRC patients based on haematological findings and are sorted into stages using TNM and Dukes. The present study is to find the association between haematological findings, demographic characters, differentiation position, lymph node invasion and tumour node metastasis in CRC patients in accordance with their age. Results: We observed significant (p < 0.05) nexus between lymph node metastasis and tumour node metastasis on the basis of tumours differentiation demographic positioning and age of the individuals. Conclusion: Earlier location tracing and medicinal treatment or surgery lessen the chance of CRC morbidity and mortality along with prolonging survival rate via prognostic factors and disease position determination. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Transmission Jeopardy of Adenomatosis Polyposis Coli and Methylenetetrahydrofolate Reductase in Colorectal Cancer
Colorectal cancer (CRC) is one of the globally prevalent and virulent types of cancer with a distinct alteration in chromosomes. Often, any alterations in the adenomatosis polyposis coli (APC), a tumor suppressor gene, and methylenetetrahydrofolate reductase (MTHFR) gene are related to surmise colorectal cancer significantly. In this study, we have investigated chromosomal and gene variants to discern a new-fangled gene and its expression in the southern populations of India by primarily spotting the screened APC and MTHFR variants in CRC patients. An equal number of CRC patients and healthy control subjects ((Formula presented.)) were evaluated to observe a chromosomal alteration in the concerted and singular manner for APC and MTHFR genotypes using standard protocols. The increasing prognosis was observed in persons with higher alcoholism and smoking ((Formula presented.)) with frequent alterations in chromosomes 1, 5, 12, 13, 15, 17, 18, 21, and 22. The APC Asp 1822Val and MTHFR C677T genotypes provided significant results, while the variant alleles of this polymorphism were linked with an elevated risk of CRC. Chromosomal alterations can be the major cause in inducing carcinogenic outcomes in CRCs and can drive to extreme pathological states. 2021, SAGE Publications Ltd. All rights reserved. -
Tools and framework for cyber-physical agricultural systems
The development of cyber-physical agricultural systems (CPASs) has created new opportunities for precision farming, sustainable food production, and efficient use of resources. CPAS leverages advanced technologies such as the Internet of Things, artificial intelligence (AI), and machine learning (ML) to collect, analyze, and utilize data to improve farming practices. However, the implementation of CPAS requires the use of various tools and frameworks to ensure seamless integration and communication between different components of the system. One of the key tools for CPAS is sensors. This chapter focuses on key tools for CPAS, such as sensors that can collect data on environmental factors, including temperature, humidity, soil moisture, and nutrient levels, enabling farmers to monitor crop growth and identify issues. The use of drones equipped with cameras and sensors can provide a birds eye view of farmland, allowing farmers to detect issues that are difficult to detect otherwise. Frameworks such as the Open Platform Communication Unified Architecture (OPC-UA) provide a standardized approach to communication between different devices and systems in agricultural systems. OPC-UA enables secure and efficient data exchange between sensors, machines, and other components, enabling the integration of various tools and frameworks within CPAS. This framework ensures that different components of CPAS can communicate seamlessly, leading to more efficient and effective farming practices. Another critical framework for CPAS is the decision support system (DSS). DSS utilizes AI and ML algorithms to analyze data from various sources and provide recommendations to farmers. For example, DSS can provide guidance on crop selection, planting dates, irrigation schedules, and pest management. This framework can assist farmers in making informed decisions that can increase yield, reduce waste, and improve sustainability. 2024 Elsevier Inc. All rights reserved. -
Wireless Technology for Providing Safety in Vanets
Both the safety and efficiency of our present transportation systems might benefit greatly from the implementation of vehicular ad hoc networks (VANETs). In this book chapter, the author investigates the significance of wireless technology in improving VANET security. Before discussing the numerous wireless technologies that form the backbone of VANET security, this chapter digs into VANET architecture and communication paradigms. These can be anything from tried-and-true standards like IEEE 802.11p (WAVE) to forward-thinking concepts like 5G cellular networks ability to link vehicles to other objects. Collision avoidance, cooperative adaptive cruise control, junction collision alarms, and pedestrian safety are just some of the real-world applications of V2V communication that have been shown. The importance of security mechanisms, such as authentication, encryption, and data integrity, is discussed at length in this chapter. The narrative also delves into the fascinating intersections of VANETs with autonomous cars and AI, all while tackling issues like spectrum allocation, scalability, and privacy concerns. Case studies shed light on the concrete effects of VANET safety installations, showing how they may reduce accident rates and ease traffic congestion. This last chapter summarizes the potential of wireless technologies to usher in an era of enhanced road safety via the medium of VANETs, distills important insights, and calls for greater advances. 2024 CRC Press.