Machine Learning and IoT in Smart Agriculture
Smart agriculture is becoming more necessary as food demands quickly rise in response to a growing global population. Additionally, agriculture serves as the primary source of income for almost 60% of India's people. Yet most of our farming practices are still archaic and out-of-date. The fast-expanding population may not be able to be fed using these methods. Smart agriculture uses cutting-edge technology, including Internet of Things (IoT), global positioning systems (GPS), machine learning, robots, and the use of linked gadgets. Smart agriculture could support an artificial intelligence (AI)-integrated agricultural system that gathers data about the agricultural area and then analyses it to help the farmer make the best decisions for producing high-quality crops. The field of AI, with its superior learning capability, is a critical method for tackling several difficulties related to agriculture. AI provides appealing computing and analytical techniques for the better integration of various information-gathering forms from various sources. This paper elaborates the innovative ways AI can be used in the field of Indian agriculture. The study also goes into detail on the impact of smart farming on agricultural research. The analysis demonstrates the range and impact of cutting-edge technology in Indian agriculture, including sensors for rainfall rate prediction, GPS, moisture and temperature sensors, and aerial satellite photos. 2025 selection and editorial matter, Sirisha Potluri, Suneeta Satpathy, Santi Swarup Basa, and Antonio Zuorro; individual chapters, the contributors. All rights reserved.
Tanguturu A.; Saradha S.; Rao K.V.; Preethi N.
AI in Agriculture for Sustainable and Economic Management, pp. 112-118.
Tanguturu A., Christ University, Lavasa, Pune, India; Saradha S., Christ University, Lavasa, Pune, India; Rao K.V., Christ University, Lavasa, Pune, India; Preethi N., CHRIST University, Lavasa Campus, Pune, India
A Critical Study: The Transactional Concept of Coping through Electronic Media during the COVID-19 Pandemic
Introduction: Numerous individuals worldwide experienced grief during the COVID-19 pandemic. Due to the imposed isolation and limited accessibility of external resources, media was used extensively as a coping mechanism in several forms. Purpose: In the fast-moving world with the emergence of technology, this chapter articulates the emerging trends of media and its impact. The study aims to explore how grief is handled and resolved with the help of electronic media. Methodology: The study reviews existing literature to explore media-related coping strategies by applying the Lazarus-Folkman transactional coping theory as a lens. Results: During the COVID-19 pandemic, there was an increase in media usage among individuals. Based on a review of existing research, media-based coping was used for a range of stressors, including isolation, misinformation and time wastage, work-life disruption, and personal loss. Media is a potential source of readily available, accessible, and effective coping. It can be harnessed to support the rising number of individuals whose mental health needs cannot be catered to by the limited number of qualified mental health professionals. Conclusion: Grief can be handled and resolved in different ways with the assistance of the media. The media can also be used to override the taboo that prevents individuals from seeking support to cope with their grief. Researchers and practising mental health professionals can explore the utility of media-based coping mechanisms and formulate plans to use them effectively. 2025 selection and editorial matter, Dr Uzaina, Dr Rajesh Verma with Dr Ruchi Pandey; individual chapters, the contributors.
The Psychological After-Effects of Covid: Post-Pandemic Complications and Interventions in India, pp. 166-177.
Suresh S., CHRIST (Deemed to be University), India; Rajendran A., CHRIST (Deemed to be University), India; Abirami A.V., Centre for East Asian Studies, India, CAPS, Christ University, Bangalore, India
The Industrial Revolution From Mechanisation (1.0) to Smart Automation (5.0)
The Industrial Revolution was a transformative event of unprecedented magnitude, profoundly altering many facets of society, including consumption patterns, social structures, cultural norms, and global arrangements. Contrary to popular belief, there is not a one Industrial Revolution, but rather a sequence of stages characterised by gradual advancements. We are currently on the verge of the Fifth Industrial Revolution, which is expected to have a greater impact than the cumulative effect of the preceding four revolutions. Industry 5.0 is the latest term gaining popularity in the business sector, with significant claims to fundamentally transform our lifestyle. Industry 5.0 is expected to drive more progress in the field of intelligent automation within the manufacturing sector. This chapter specifically examines the transition of industry sector from version 1.0 to version 5.0. 2025 selection and editorial matter, Payal Bansal, Rajeev Kumar, Ashwani Kumar and Daniel D. Dasig, Jr.; individual chapters, the contributors.
Artificial Intelligence and Communication Techniques in Industry 5.0, pp. 87-100.
Jha B., Christ (Deemed to be University) Delhi NCR, India; Garg S., Christ (Deemed to be University) Delhi NCR, India; Dhingra S., Christ (Deemed to be University) Delhi NCR, India
FloodWatch: Suggesting an IoT-Driven Flood Monitoring and Early Warning System for the Flood-Prone Cuddalore District in the Indian State of Tamilnadu
Floods continue to pose significant threats to communities worldwide, causing loss of life, property damage, and disruption of vital services. Timely and accurate flood monitoring and early warning systems play a critical role in mitigating these impacts. This chapter presents FloodWatch, an innovative IoT-based flood monitoring and early warning system designed to enhance community resilience and response capabilities for the Cuddalore district, classified as one of the multi-hazard-prone districts of Tamilnadu. The Cuddalore district has a coastal line of 68 km, hence it is vulnerable to cyclones, and heavy rainfall, in turn causing floods. FloodWatch leverages the power of the Internet of Things (IoT) technology and provides real-time data collection, analysis, and dissemination for flood-related parameters. FloodWatch integrates a network of smart sensors strategically deployed in flood-prone areas, including rivers, streams, and urban drainage systems. These sensors continuously measure key variables, such as water level, rainfall intensity, weather conditions, and soil moisture content. The collected data is transmitted to a centralized cloud-based platform, where advanced data analytics and machine learning algorithms are employed to process and analyze the information. FloodWatch utilizes historical data and predictive modeling to assess the risk of flooding and generate accurate early warnings. Through intuitive interfaces and mobile applications, relevant stakeholders, including local authorities, emergency responders, and residents, receive real-time alerts and notifications, enabling timely decision-making and appropriate response actions. Key features of FloodWatch include its scalability, adaptability, and user-friendliness. The system can be easily customized to cater to different geographical and environmental conditions, ensuring its applicability in diverse regions. Additionally, FloodWatchs intuitive interfaces provide actionable insights in a visually comprehensible manner, facilitating effective communication and community engagement. The implementation of FloodWatch offers several notable benefits, including improved flood preparedness, reduced response time, and enhanced disaster management. By equipping communities with the tools to monitor, predict, and respond to floods, FloodWatch contributes to minimizing the impact of flood-related disasters, ultimately fostering greater resilience and safeguarding lives and property. FloodWatch represents a significant advancement in flood monitoring and early warning systems, harnessing IoT technology to provide accurate and timely information to communities at risk. This chapter highlights the architecture, functionality, and advantages of FloodWatch, underscoring its potential to enhance resilience and contribute to more effective flood management strategies on a global scale. 2025 selection and editorial matter, A. Daniel, Srinivasan Sriramulu, N. Partheeban, and Santhosh Jayagopalan; individual chapters, the contributors.
Indrakumari R.; Sriramulu S.; Partheeban N.; Rajavel R.
Digital Twin Technology and Applications, pp. 374-387.
Indrakumari R., Galgotias University, Greater Noida, India; Sriramulu S., School of Computing Science and Engineering, Galgotias University, India; Partheeban N., School of Computer Science and Engineering, Galgotias University, India; Rajavel R., Department of CSE, Christ University, Karnataka, Bangalore, India
Harnessing Technology for a Sustainable Future in Finance: The Role of Artificial Intelligence in Promoting Environmental Responsibility
Artificial intelligence; ESG integration; Sustainable finance
The integration of artificial intelligence (AI) into sustainable finance has become a focal point in recent years, propelled by global concerns about the environment and the pressing need for sustainable development. AI technologies, equipped with advanced capabilities, offer significant opportunities to address challenges faced by financial institutions, investors, and policymakers, ushering in the prospect of a more sustainable and inclusive economy. AI's applications in sustainable finance cover diverse areas such as environmental risk assessment, green investment analysis, climate change modeling, and the integration of Environmental, Social, and Governance (ESG) factors. By leveraging advanced data analytics and machine learning algorithms, AI empowers financial institutions to assess environmental risks associated with investments and portfolios, identifying climate-related opportunities and seamlessly integrating ESG factors into decision-making processes. Furthermore, AI-driven technologies streamline the collection, processing, and analysis of extensive data from varied sources, facilitating precise and timely sustainability reporting. These technologies contribute to identifying sustainable investment trends and play a crucial role in monitoring the progress of sustainability initiatives. AI algorithms also aid in crafting predictive models for climate-related events, assisting investors and policymakers in evaluating the long-term financial implications of climate change and formulating effective mitigation strategies. While the adoption of AI in sustainable finance offers immense potential, it is not without challenges and risks. Ethical considerations, data quality and biases, transparency, and the interpretability of AI models are among the key concerns that require careful attention. Additionally, the establishment of regulatory frameworks and industry standards is essential to ensure the responsible and ethical use of AI technologies in finance. In spite of these challenges, the integration of AI in sustainable finance holds great promise for expediting the transition towards a greener and more sustainable future. It empowers stakeholders to make well-informed decisions, advocates for responsible investment practices, and contributes significantly to the attainment of global sustainability goals. By harnessing the capabilities of AI, financial institutions and policymakers can unlock new opportunities, mitigate risks, and cultivate a financial system that is not only sustainable but also resilient. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Singh S.; Yadav S.; Singh A.; Krishna Y.J.; Singh A.
Studies in Systems, Decision and Control, Vol-536, pp. 367-378.
Springer Science and Business Media Deutschland GmbH
Singh S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Delhi NCR, India; Yadav S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Delhi NCR, India; Singh A., Kristu Jayanti College (Autonomous), Bangalore, India; Krishna Y.J., Christ College of Science and Management, Bangalore, India; Singh A., School of Management Science, Varanasi, India
Strategic Data Analytics for Sustainable Competitive Advantage
Analytics; Big data; Competitive advantage; Data; Strategy
Data and analytics have become major assets for all organizations to leverage into superior strategic positions in this cut-throat competitive world with buzzwords like data crunch, metrics, and dark data. This chapter discusses the structural and economic reasons of why business analytics is necessary for organizations. The ability to collect different resources and entities such as talent, process, data, and information technology to bring out a valuable output is crucial for business analytics success. The most common difficulty of big data begins when organizations are in the journey of business analytics. Since a number of organizations are still in the baby steps of basic, tackling data challenges is humongous for them. This situation calls for the need to foster a business analytics ecosystem by every organization. This paper discusses how optimizing analytics could lead to a sustainable competitive advantage, building data strategy, and setting Key Performance Indicators (KPI) for business analytics. The chapter further explores how analytics is used across business domains and the challenges in crafting a business analytics strategy. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Nagarathinam A.; Chellasamy A.; Rangasamy S.
Data-Driven Decision Making, pp. 77-106.
Nagarathinam A., CHRIST University, Bangalore, India; Chellasamy A., CHRIST University, Bangalore, India; Rangasamy S., CHRIST University, Bangalore, India
The Intersectionality of Social Exclusion and International Comparison: Rethinking the Methodological Nuances
COVID-19 lockdown; Indo-Swiss comparison; Intersectionality; Methodological nuances; Race and class; Social exclusion
This chapter foregrounds the methodological considerations involved in a cross-national comparison of qualitative data on social exclusion and marginalization. Drawing on the possibilities of intersectional multilevel analysis in Indian and Swiss contexts, the chapter further discusses the nuances of juxtaposing these data. It follows attempts by a Swiss-Indian research team to study how marginalization involves multiple intersectionalities that operate simultaneously. It aims to capture the experiences of migrant workers in India and people without legal residency status in Switzerland during the COVID-19 lockdown, placing them against the cultural histories, social structures, and state interventions. Using intersectionality, the study explores how structures of exclusion operate at multiple levels of subjectivity and, through epistemic violence, naturalize social inequalities. The project attempts to identify how they are still being rendered invisible and their miseries normalized, invoking the impression that it is perpetual. Cross-border research becomes significant in the context of internationalization and globalization, and the chapter discusses the issues and the promises of such a comparison. Beyond the cultural boundaries and differences and the conceptual-methodological incongruities, we argue that the comparison can illuminate how power relations operate at multiple levels in different contexts, reproducing and normalizing discriminatory mechanisms. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024, corrected publication 2024.
Overlapping Inequalities in the Welfare State: Strengths and Challenges of Intersectionality Framework, pp. 31-49.
Nef S., Department of Social Work, Institute of Diversity and Social Integration, Zurich University of Applied Sciences, Zich, Switzerland; Kumaramkandath R., Department of Sociology and Social Work, CHRIST (Deemed to be University), Bangalore, India
Climate, agriculture, and farmer's mental health: Unravelling the nexus in Wayanad, Kerala
Climate change; Farmer's mental health; Farming in Wayanad; Mental health; Social psychology
A sizable majority of the population works in the primary sector in Kerala's Wayanad district, where agriculture is the backbone of the local economy. However, dynamic issues including climate change, fluctuating soil quality, crop diseases, and related economic consequences pose difficulties for this industry. The complicated linkages between agricultural practices and climate change are discussed using qualitative data from in-depth interviews with 15 Wayanad farmers. Agricultural productivity and revenue are strongly impacted by unpredictable rainfall, which is exacerbated by strong winds, natural disasters, wildlife intrusions, and crop diseases. The failure of farmers to adjust to these climate changes is a remarkable finding, frequently brought on by fear and unstable financial situations. This resistance causes anxiety, a sense of powerlessness, and a sense of responsibility for circumstances that are out of their control. In order to help farmers manage the unforeseeable effects of climate change, the study emphasizes the urgent need for policy initiatives in areas like Wayanad. Cooperative farming and knowledge-sharing platforms are examples of strategies that could improve farmers' psychological resilience and general well-being. Given that agriculture accounts for a substantial portion of the region's income and that resources and knowledge are scarce, climate change has a considerable impact on agricultural outputs and farmers' psychological well-being. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
Impact of Climate Change on Social and Mental Well-Being, pp. 109-124.
Menon R.R., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Warrier M.G., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Sports Tourism and Community Development: Exploring the Links and Sentiments
Community development; SDG11; Sports events; Sports tourism; Sustainable communities
Sports tourism has emerged as one of the most effective forms of tourism through its ability to satisfy the need of modern-day tourists who prioritize novelty, engagement, and experience. Meanwhile, the sustainable community (development) agenda is also parallelly getting its due attention in the form of SDG11. Recently, the power of sports tourism and events in harnessing community development has been discussed in various patches. However, the structure and mechanism of this growing linkage are rarely discussed holistically, making generalizability a challenging goal to achieve. Further, the aspect of sustainability needs to be studied more. In this regard, the authors of this chapter have attempted to develop a conceptual framework mapping the linkages of sports events and community development, keeping the sustainability agenda in the backdrop. Further, sentiment analysis through NVivo has been performed on all significant works to understand the general sentiments across various communities regarding sports tourism contributing to their development. While the framework development objective is conceptual in nature, the retrieval of the significant themes and sentiments is attained through analytical research. It is concluded that the impacts of sports tourism and events on communities align with the three (triple) bottom lines of sustainable development, i.e., economic, sociocultural, and environmental. These influences result in the sustainable development of the communities. Sentiment analysis points toward the positive sentiment for sports tourism resulting in community development in most cases analyzed. This research will assist both academicians and practitioners in better understanding the linkage between sports tourism and community development and devise measures to make this linkage more sustainable. Springer Nature Singapore Pte Ltd 2024.
Springer International Handbooks of Education, Vol-Part F3475, pp. 1171-1189.
Sarkar B., Department of Business and Management, Christ University, Bangalore, India; Mohanty P., Department of Business and Management, Christ University, Bangalore, India; Nagarjuna G., Department of Tourism Management, Christ University, Bangalore, India
IoT in schools: Revolutionizing education through smart technology
The Internet of Things (IoT) is rapidly transforming various sectors, and education is no exception. This chapter explores the potential and applications of IoT technology in the education sector, shedding light on how it can revolutionize teaching, learning, and overall school management. By seamlessly integrating smart devices and applications into the classroom environment, IoT creates an interconnected and efficient learning ecosystem. The discussion covers the current state of IoT adoption in education, highlighting the benefits, challenges, and future prospects of this technological integration. 2025 selection and editorial matter, Adesh Kumar, Surajit Mondal, Gaurav Verma, and Prashant Mani; individual chapters, the contributors.
Embedded Devices and Internet of Things: Technologies and Applications, pp. 230-241.
Kaushik P., CHRIST (Deemed to be University), Bangalore, India
Analogy of Social Entrepreneurship and Community Empowerment: An Inclusive Tourism Approach with Technological Intervention
Community empowerment; Inclusive tourism; Social enterprises; Technological innovation; Tourism and social entrepreneurship
Destinations overall development is ascertained by its conscious measures toward inclusive engagement with responsible business practices. The social enterprises functioning in the tourism system engage the disadvantaged communities responsibly for economic prosperity and community empowerment. Tourism social entrepreneurship is an innovative mechanism toward social upliftment by enhancing the benefits and contemplating through the core issues of host communities. This chapter focuses on case lets on communities, particularly those located in less-developed regions of India, who encounter various social problems. A sustainable community development through tourism leads economic growth in developing marginalized communities and economically empowers the low-income localities. Technological intervention for community empowerment and better engagement is the need of the hour. It is instrumental to understand the ideology of social entrepreneurial opportunities for community empowerment. Tourism relies on multiple industries and it is challenging in delivering desired community development goals. Adaption of techno-enabled system toward community development can build the entrepreneurship capacity of marginalized communities. Technological interventions for empowering the community toward rural development is the thrust dealt in the proposed chapter. Springer Nature Singapore Pte Ltd 2024.
Varghese B.; Joseph E.K.; Lakshmypriya K.; Kallarakal T.K.; Mehta H.
Springer International Handbooks of Education, Vol-Part F3475, pp. 175-192.
Varghese B., Tourism-School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Joseph E.K., School of Commerce and Professional Studies, Marian College (Autonomous), Kerala, Kuttikanam, India; Lakshmypriya K., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Kallarakal T.K., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India; Mehta H., Travel Specialist, Beyonder Experiences, Bangalore, India
Gamification in Tourism Teaching and Learning: Exploring the Emergent Dimensions
Challenges; Gamification; Learning; Teaching; Tourism; Tourism education
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.
Mohanty P.; Tulshyan S.B.; John S.M.; Niranjan L.R.
Springer International Handbooks of Education, Vol-Part F3475, pp. 207-219.
Mohanty P., Department of Business and Management, Christ University, Bangalore, India; Tulshyan S.B., Department of Business and Management, Christ University, Bangalore, India; John S.M., Department of Business and Management, Christ University, Bangalore, India; Niranjan L.R., Department of Business and Management, Christ University, Bangalore, India
Nanocomposites in Combating Antimicrobial Resistance
AMR; Antibacterial; Nanocomposite; Synergistic effect
Extensive and improper usage of antibiotics has resulted in the outbreak of multidrugresistant microorganisms and increasing antimicrobial resistance (AMR), which has become a significant threat to global health and health care. Resistant microorganisms adapt various resistance mechanisms like modifying the structure of antibiotics, altering the target, inhibiting the internalization of antibiotics, ejection of antibiotics from bacterial cells, etc. By lowering or completely disabling the efficacy of antibiotics, AMR may become a primary cause of mortality if left unattended. Developing effective antiresistance strategies to combat AMR is an urgent need of time. Nanomaterials have great potential to inactivate pathogens, and their mechanism of antimicrobial activity is different from antibiotics. With these unique mechanisms of antimicrobial action, nanomaterials are less prone to develop AMR. Developing nanocomposites can provide synergistic effects to improve the properties and strengthen the antimicrobial capability of individual nanomaterials. In this chapter, contemporary developments in the application of antimicrobial composites such as carbon nanocomposites, metallic nanocomposites, nonmetallic nanocomposites, metalloid nanocomposites, polymer nanocomposites, ceramic nanocomposites, and their hybrid forms to prevent the evolution of AMR will be discussed. The current research direction, prospects, and possible strategies to explore nanocomposites as potent antimicrobial agents to conquer AMR will be highlighted. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Varghese M.; Mathew A.A.; Balachandran M.
Nanotechnology Based Strategies for Combating Antimicrobial Resistance, pp. 203-230.
Varghese M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mathew A.A., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Yellow leaf disease, climate change, and its impact on the life of farmers in Sullia
Agriculture; Arecanut; Community; Farmer well-being; Yellow leaf disease
Sullia taluk of Dakshina Kannada district has been receiving heavy rainfall for the past few years, having a huge impact on agriculture. Yellow leaf disease spreads from one fully grown tree to another and gradually to the adjacent trees. Arecanut plantations across the region developed the disease, reducing arecanut production. It has hit the livelihood of many farmers whose only source of income was the harvest of arecanuts. Apart from the fungal infection causing financial loss, farmers also face the brunt of gradually reducing agricultural yield in consecutive years. It is yet to be tackled with chemical treatment and hence stands tall as a problem causing an impact on the lives of farmers in Sullia. The current study explored the problem of climate change resulting in yellow disease and its impact on the well-being of plantation owners and workers in the context of Sullia whose culture is rooted in the land. A lack of awareness about mental health influencing the understanding of an epidemic interfering with the local way of life has been emphasized. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
Impact of Climate Change on Social and Mental Well-Being, pp. 317-330.
Chakshu Narayan A., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Impact of climate adaption and resilience on mental and social wellbeing
Climate adaption; Climate change; Mental well-being; Resilience; Social well-being
According to United Nations Climate Change, adaptation refers to adjustments in ecological, social, or economic systems in response to actual or expected climatic stimuli and their effects. In contrast, resilience is all about being able to cope with unexpected or difficult circumstances and being able to persevere in the face of challenges, overcoming barriers and bouncing back after setbacks. While adaptability involves changing to manage under new conditions, resilience, through bouncing back, implies the ability to revert to a previous, more positive state after experiencing some difficulty or challenge. Marianne Hrabok (2020) The pathways through which extreme climate events affect mental health are numerous and include direct (e.g., exposure to trauma) and indirect (social, economic disruptions) routes (Ramadan and Ataallah, 2021). Climate-related catastrophes have significant impacts on the mental well-being of the populations involved, causing surges in cases of depression, anxiety, and posttraumatic stress disorder (PTSD) primarily (Gina Martin, 2022). Studies suggest that the mental well-being impacts and negative emotions that stem from climate change awareness may be shared among child populations (Doherty & Clayton, 2011). In addition to direct and indirect psychological impacts, climate change is likely to impact social and community relationships. Some of these impacts may result directly from changes in climate, but most are likely to be indirect results of shifts in how people use and occupy territory. The response to climatic change by any living organism or system is to adapt or be resilient. This chapter discusses the different types of adaptation and resilience strategies theoretically and successfully adopted by various countries in the world. These strategies have a remarkable impact on the mental and social well-being of its stakeholders. With the discussion on the impacts, this chapter will also suggest strategies to be adopted at an individual level to either adapt or resilience toward climatic change to enhance mental and social well-being at the same time. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
Impact of Climate Change on Social and Mental Well-Being, pp. 91-107.
Vazirani K., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Kalra R., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Jaiwant S.V., CHRIST (Deemed to be University), Karnataka, Bangalore, India
Blending of Knowledge Management with Industry 4.0: A New Formula for Success!
industry 4.0; knowledge management; knowledge sharing; Technology
The convergence of Industry 4.0 and knowledge management presents a transformative opportunity for organizations seeking enhanced efficiency and sustainable growth. In the context of organizational processes, the amalgamation of technological advancements and effective knowledge management practices can lead to a reduction in costs and an overall improvement in operational efficiency. Understanding the intricacies of knowledge management procedures is crucial, encompassing the production, transfer, acquisition, storage, and utilization of knowledge resources across the organizational spectrum. The advent of the fourth industrial revolution, commonly referred to as Industry 4.0, has significantly reshaped traditional knowledge management systems. Industry 4.0 introduces the interconnectivity of machines and their autonomous capacity to learn and share data. While both knowledge management and Industry 4.0 offer distinct benefits individually, a strategic approach that combines the strengths of both can unlock new opportunities for efficient business growth and success in the external environment. This article delves into the symbiotic relationship between Industry 4.0 and knowledge management, emphasizing their combined potential. Industry 4.0 generates vast volumes of data, and by leveraging knowledge management, organizations can derive valuable insights to inform decision-making processes. Historical data and best practices, accessible through knowledge management, contribute to process optimization. Integration with Industry 4.0 technologies, such as automation and the Internet of Things, further enhances process efficiency. The marriage of knowledge management and Industry 4.0 extends beyond process optimization to workforce development. Recognizing employees as the building blocks of an organization, this integration enables better management by upgrading knowledge and skills. Consequently, it enhances the overall productivity of the workforce, contributing to organizational success. In the dynamic landscape of globalization, technology, and competition, this chapter serves as a guide for organizations aiming to harness the collective power of knowledge management and Industry 4.0. By exploring their complementary benefits, it seeks to facilitate the informed utilization of these tools for the betterment and sustainability of businesses in the contemporary world. 2024 Scrivener Publishing LLC.
Gowda K.R.; Jaswant S.V.; Kureethara J.V.; Banerjee J.
Knowledge Management and Industry Revolution 4.0, pp. 183-195.
Gowda K.R., Alliance School of Business, Alliance University, Bangalore, India; Jaswant S.V., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Kureethara J.V., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Banerjee J., College of Business, City University Ajman, United Arab Emirates
The mental health climate crisis: Unveiling the hidden consequences of global warming
Atmospheric science; Climate change; Community; Development studies; Disorder; Economic development; Employee management; Environmental geography; Epidemiology; Mental health; Psychological; Sociology; Stress
Today, the issue of climate change is a matter of great urgency on a global scale, with vast-reaching implications. While the environmental and physical health effects of climate changes are well-documented, its impact on mental health is an emerging area of concern. The issue of climate change necessitates a rigorous and systematic approach to comprehending, evaluating, and addressing climatic anxiety. This approach must underscore the differentiation between adaptive and maladaptive forms of anxiety, and the importance of considering the societal-level response necessary to effectively combat climate change. Studies have documented the impact of natural calamities like Hurricane Katrina on low-income people residing in those areas. The present study rests on the objectives of examining the psychological impact of climate change on individuals, communities, and vulnerable populations with the help of literature. Further, investigation is continued on the role of climate-related stressors, such as natural disasters, heatwaves, and environmental degradation on mental health outcomes. The study also identified the potential interventions and strategies for mitigating the adverse impact on mental health due to climate change. 2025 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.
Impact of Climate Change on Social and Mental Well-Being, pp. 285-298.
Kumar S., CHRIST University, Bangalore, School of Business and Management, Karnataka, Bengaluru, India; Ghosh F.C.M.A.N., CHRIST University, Bangalore, School of Commerce, Karnataka, Bengaluru, India; Khanna S., CHRIST University, Bangalore, School of Business and Management, Karnataka, Bengaluru, India
Using Ensemble Model to Reduce Downtime in Manufacturing Industry: An Advanced Diagnostic Framework for Early Failure Detection
The fourth industrial resolution marks a significant shift that uses emerging technologies such as intelligent automation, extensive machine-to-machine communication, and the internet of things (IoT) to modernize conventional manufacturing and industrial methods. The examination of vast data gathered in modern industrial facilities has not only greatly leveraged artificial intelligence (AI) tools but has also driven the development of innovative technologies. In this context, a novel framework for predictive maintenance in the production sector is introduced in this research, which depends on an ensemble model. First, a set of input features are collected from sensors. Then, data normalization technique is applied to standardize and prepare data for further analysis. These normalized input features are then used to train an ensemble classifier. In the ensemble model, multilayer perceptron (MLP), K-nearest neighbors (KNN), and support vector machine (SVM) are serve as base classifiers. Efficacy of the designed framework is validated using predictive maintenance dataset. Results demonstrated that the proposed ensemble model exhibited improved accuracy compared to individual base classifiers. The results further demonstrated that the implemented model had superior efficiency compared to the other benchmark models. 2025 selection and editorial matter, Amit Kumar Tyagi, Shrikant Tiwari, and Gulshan Soni; individual chapters, the contributors.
Thenmozhi S.; Kumudavalli M.V.; Karthikeyan P.; Kumar C.S.; Sharmila S.
Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing, pp. 184-196.
Thenmozhi S., Dayanandasagar College of Engineering, Karnataka, Bengaluru, India; Kumudavalli M.V., Dayanandasagar College of Engineering, Karnataka, Bengaluru, India; Karthikeyan P., Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan; Kumar C.S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sharmila S., Dayanandasagar College of Engineering, Karnataka, Bengaluru, India
Biodegradable Organic Polymers for Environmental Protection and Remediation
Agro-waste; Biopolymers; Cellulose; Chitin; Chitosan; Keratin; Levan; Polyhydroxyalkanoates; Remediation; Starch
As the era of urbanization and industrialization progressed, non-biodegradable polymers became a severe threat to the environment and the world's rapidly growing population. These synthetic polymers possess flexible applications and cost effectiveness which makes their usage more feasible and convenient. Today they are used from simple packaging to critical biomedical tools. Although these polymers possess many merits, all come to halt when it comes to biodegradability. The inherent mechanisms in nature are unable to degrade and decompose these synthetic polymers leading to their accumulation and persistence in nature for decades causing calamitous effects. In search of solutions for the adverse effects caused by synthetic polymers, the world turned toward biologically synthesized biodegradable organic polymers. These biopolymers have a diverse set of physical and chemical characteristics that can be easily manipulated, allowing for a wide range of applications. Biopolymers like polyhydroxyalkanoates and levan have adaptable qualities that resemble those of synthetic plastics which makes them a promising alternative to synthetic plastics. However, the setback in the large-scale usage of biopolymers is their high cost of production and commercialization. The biopolymers are broadly classified into three major classes based on their origin: plant-based biopolymers (cellulose, starch), animal-based biopolymers (chitin, chitosan, keratin), and microbial biopolymers (polyhydroxyalkanoates, levan). The extraction or synthesis of these biopolymers from their biological sources varies significantly from each other; however, in order to bring out the sustainable production, these polymers should be produced by coupling with waste valorization approaches. The waste materials from plants and animals, particularly agro-industrial wastes, can be used as inexpensive substrates for the commercial manufacture of these crucial biopolymers, thereby reducing the accumulation in the environment. Another field of biopolymer usage is in remediation of pollutants. Many biopolymers are currently being used in the active removal of heavy metal, dye, and other similar pollutants. The numerous physical, chemical, and biological processes for extraction or synthesis of industrially valuable biopolymers from the waste raw materials are discussed in this chapter, along with their application in remediation of pollutants and environmental protection. 2025 WILEY-VCH GmbH, Boschstra 12, 69469 Weinheim, Germany. All rights reserved.
Santhosh A.S.; Suresh S.; Umesh M.; Stanly L.M.; Grigary S.; James N.
Organic Polymers in Energy-Environmental Applications, pp. 381-402.
Santhosh A.S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Suresh S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Umesh M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Stanly L.M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Grigary S., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; James N., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India
Unveiling the Emotions: A Sentiment Analysis of Amazon Customer Feedback
Amazon customer feedback; Confusion matrix; Machine learning; Sentiment analysis; Word cloud
This study explores sentiment analysis in the context of diverse regions and contemporary customer feedback, aiming to address research questions related to consolidation based on polarity scores and sentiments. The research utilizes multinomial regression for a comprehensive analysis of customer feedback worldwide. The investigation incorporates confusion matrices, statistics, and class-specific metrics to evaluate the models performance. Results indicate a highly accurate model with perfect sensitivity, specificity, and overall accuracy. The analysis further includes a breakdown of key metrics such as accuracy, confidence intervals, no information rate, p-value, kappa, and prevalence, emphasizing the models robustness. In conclusion, the multinomial logistic regression model demonstrates exceptional performance in predicting sentiment across diverse classes, highlighting its effectiveness in sentiment analysis on a global scale. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Muthu Ruben V.; VijayaKumar R.; Sateesh Kumar T.K.
Studies in Systems, Decision and Control, Vol-536, pp. 403-410.
Muthu Ruben V., School of Law, Christ University, Bangalore, India; VijayaKumar R., Kristu Jayanti College (Autonomous), Bangalore, India; Sateesh Kumar T.K., Kristu Jayanti College (Autonomous), Bangalore, India