820 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Anuram Krishna, E.S.; Nanjundan, Preethi; Thomas, Lijo Title A name given to the resource Machine Learning Base Model for Waste Management Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived A Circular Economy for Manufacturing Waste Management: Pathway Towards Sustainability;pp.267-290 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105024655260?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024655260?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Anuram Krishna E.S., Department of Global FinancAnalytics, Christ University, India; Nanjundan P., Department of Data Science, Christ University, India; Thomas L., Department of Psychology, Christ University, India Description An account of the resource Waste management is an important global challenge, where increasing urbanization and industrialization lead to high waste production. Traditional waste landfill methods, including manual sorting and fixed collection plans often result in disabilities, increased costs, and environmental decline. Integration of machine learning (ML) and artificial intelligence (AI) in waste management systems provides a transformative approach to solve these problems. This chapter examines the role of ML in automatic waste sorting, future indication analysis, collection passport optimization, and converting wasteto-energy. Case studies from Singapore, San Francisco, and large waste management companies highlight MLs real-world applications to create smart and more sustainable waste management systems. Singapores AIoperated system and San Franciscos policy-based waste management models show MLs ability to adapt to comparative analysis resources and reduce landfill addiction. The findings show that AI-controlled waste management leads to high recycling speeds, reduces greenhouse gas emissions, and more efficient resource allocation. Despite challenges such as high implementation costs, regulatory concerns, and privacy problems, the future of waste management lies in AI-operated automation, blockchain integration for waste tracking, and AI-cleaned waste solutions. 2025 River Publishers. Subject The topic of the resource Artificial Intelligence; Sustainable Waste Management; Waste Managment Publisher An entity responsible for making the resource available River Publishers Relation A related resource ISBN: 978-874380688-2; 978-874380689-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Avanesh, Neetha Mary; Devi, Usha N. Title A name given to the resource Money in Mind: Unpacking Mental Accountings Role in Financial Choices Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Behavioral Finance: Strategies for Informed Decision-Making;pp.109-122 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105035816395?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035816395?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Avanesh N.M., School of Business and Management, Christ University, Bengaluru, India; Devi U.N., Vivekananda Degree College, Bengaluru, India Description An account of the resource This study investigates the impact of mental accounting on budgeting, spending, and saving habits among individuals in Bengaluru, India. The mental accounting concept was introduced by the economist Richard Thaler. It gained attention in recent years due to its relevance in behavioral economics. For the present study, Bengaluru was chosen as the locale of the study due to its unique socioeconomic characteristics. Four hundred respondents from various sectors participated in semi-structured interviews. These respondents belong to the age group 25-60 with varying income levels. The findings conveyed that the respondents gave first priority to repaying smaller debts though long-term debts with higher interest rates were financially pressing. Therefore, it has become a need of the hour that financial education should be provided to individuals so that they can manage their finances effectively. The outcome of the present study provides valuable insights for designing educational programs that promote healthier financial habits among individuals. Copyright 2026 by Nova Science Publishers, Inc. Subject The topic of the resource behavioral economics; economic resilience; financial choices; financial education; mental accounting; saving habits Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134017-2; 979-889530956-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Azyu, Helen P.; Chakraborty, Avishek Title A name given to the resource Legal Framework and Ethical Challenges in Patenting AR/VR Innovations in Healthcare Under the Indian Patent Act, 1970 Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Shaping Tomorrow: Unveiling the Potential of AR, VR, and MR in Every Realm;pp.315-332 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105036617705?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036617705?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Azyu H.P., School of Law, Christ (Deemed to be University), Karnataka, Bangalore, India; Chakraborty A., School of Law, Christ (Deemed to be University), Karnataka, Bangalore, India Description An account of the resource Augmented reality (AR) and virtual reality (VR) are gradually becoming significant to various industries, such as gaming, education, industrial design sectors, and healthcare. Even though augmented and virtual reality breakthroughs have already revolutionised healthcare by enhancing diagnosis, treatment, medical education, training and rehabilitation, granting patents to these technologies-imposed challenges when it comes to legal and moral concerns. Section 3(k) of the Patents Act 1970 forbids patenting softwaredriven discoveries and therapy-oriented applications. Such a legal constraint could be challenging for augmented reality and virtual reality technologies in healthcare, as it mostly depends on algorithmic procedures and therapeutic functions to develop breakthroughs. Other challenges could be section 3(b) of the Patents Act of 1970, which prohibits inventions that are contrary to public order or morality or cause harm to the environment, as ethics and morality play a crucial role in patenting AR/VR healthcare technology. The primary purpose of patent law is to encourage inventions, but it can cause medical care by creating a monopoly and allowing limited access to society. Patenting AR/VR technologies is essential to address moral and ethical concerns, as patenting these technologies in healthcare will promote inequality in patient care. The purpose of the present article is to analyse the ambiguity of the patentability of AR/VR technology in healthcare under the Patents Act of 1970 while addressing moral values with references to the principles of ethics. The paper further examines secondary data on patent grants on biomedical devices that integrate AR/VR across medical disciplines. 2026 Nova Science Publishers, Inc. Subject The topic of the resource Augmented reality; Biomedical; Healthcare; Healthcare technology; India; Industry; Innovation; Moral challenges; Patent law; Technologies; Virtual reality Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134179-7; 979-890134076-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bharadwaj, Pooja; Gomes, Roseline Florence Title A name given to the resource Stress and Depression in Gen Z Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Case Studies in Cognitive Behavioral Intervention: Beyond the Basics;pp.141-161 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105026331828?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026331828?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bharadwaj P., Jyoti Nivas College Autonomous, Bangalore, India; Gomes R.F., CHRIST (Deemed to be University), Bangalore, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Peter Lang AG Relation A related resource ISBN: 978-180374722-4; 978-180374721-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dixit, Pragti; Varghese, Nikhil Title A name given to the resource How deepfake technology impacts public trust in fiscal policies? Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Deepfake Technology Dilemmas: Mastering Managerial Navigation;pp.63-76 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105008365004?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008365004?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dixit P., University School of Business, Chandigarh University, Mohali, Punjab, India; Varghese N., School of Business and Management, Christ University, Bengaluru, Karnataka, India Description An account of the resource The proliferation of Deepfake technology, with its unparalleled ability to fabricate hyper-realistic audiovisual content, poses a profound and multifaceted threat to the integrity of public discourse and the perceived veracity of governmental communications, particularly in the domain of fiscal policy, as it engenders a pernicious erosion of trust, fuels scepticism regarding the authenticity of official statements, and amplifies the vulnerability of the populace to disinformation campaigns, thus undermining the foundational tenets of democratic governance, exacerbating the opacity of fiscal decision-making processes, and destabilizing the delicate equilibrium between transparency, accountability, and citizen confidence in state-managed economic stewardship. Keeping this in mind, the present study endeavours to assess the impact of deepfake technology on public trust in economic policies by taking a sample of 134 respondents from the Mumbai region of India. The results indicate a significant negative relationship between exposure to Deepfake technology and public trust in fiscal policies implying that Deepfake technology leads to an erosion of public trust in fiscal policies of the government calling out for appropriate steps that must be taken to counteract the derogatory effects of Deepfake technology. 2025 Nova Science Publishers, Inc. All rights reserved. Subject The topic of the resource Deepfake technology; Fiscal policies; Public trust Publisher An entity responsible for making the resource available Nova Science Publishers Inc. Relation A related resource ISBN: 979-889530564-5; 979-889530549-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ghosh, Debaleena; Goyal, Nishant; Halder, Susmita Title A name given to the resource Emotional Dysregulation and Emerging Psychopathology in Adolescents Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Case Studies in Cognitive Behavioral Intervention: Beyond the Basics;pp.163-185 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105026329372?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026329372?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghosh D., Department of Psychology, Christ University, Bangalore, India; Goyal N., Department of Psychiatry, Central Institute of Psychiatry, Ranchi, India; Halder S., St. Xavier's University, Kolkata, India Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Peter Lang AG Relation A related resource ISBN: 978-180374722-4; 978-180374721-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jaiwant, Sunanda Vincent; Sai Kruthi, G.S. Title A name given to the resource Current Trends and Future of AI in Sales and Marketing Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Artificial Intelligence and Machine Learning for Business;pp.169-182 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105006544738?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006544738?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jaiwant S.V., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sai Kruthi G.S., CHRIST (Deemed to be University), Karnataka, Bangalore, India Description An account of the resource Industry 4.0 has been fueling the growth of Artificial Intelligence owing to the expanding progress of data produced by the Internet and IoT devices and the computation of this enormous quantity of data. Artificial Intelligence has revolutionized the business world. AI technology has had a striking influence in the field of finance and accounting. As the market is becoming increasingly competitive, AI-empowered finance and accounting structures are making the business organization sturdy competitors as AI technologies and tools help in saving time and extracting deeper understandings. Today, companies use AI to predict customer behavior, serve more people, better target campaigns, forecast trends, etc. It goes without question that AI could improve the productivity of marketing teams. For example, location, age, and other essential information can lead to more personalized content. Along with big data, AI can undoubtedly provide businesses with a powerful means to engage and convert potential customers. This chapter aims to study the use of artificial intelligence in sales and marketing. The chapter also studies the role of AI in the sales and marketing field. This chapter also describes the benefits and current trends of AI applications in sales and marketing operations. This chapter includes the fundamental and theoretical base. It attempts to analyze the key practical applications of AI in the very specific work of the sales and marketing field. 2025 by Apple Academic Press, Inc. Subject The topic of the resource artificial intelligence; automation; machine learning; marketing; marketing strategy; robots; sales Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104015653-7; 978-177491723-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaje, Benjamin Kodai; Gangmei, Ningchuiliu; Krelo Peter Kajeo, K. Title A name given to the resource Community Empowerment through Technology Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Smart Technologies for Sustainable Development Goals: Zero Hunger;pp.179-194 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105002518356?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002518356?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kaje B.K., School of Education, Christ University, Bangalore, India; Gangmei N., School of Education, Christ University, Bangalore, India; Krelo Peter Kajeo K., Department of Political Science, Hill College Tadubi, Senapati District, Manipur, India Description An account of the resource A UN report estimated that 10% of people on the planet will experience chronic hunger by 2022, with a large share of those people coming from rural origins. In Manipur, a Northeastern state of India characterized by hilly terrain and sparse population, predominantly inhabited by Nagas and Kukis tribes, urban migration threatens to exacerbate poverty. Although hunger is not frequent among Nagas at the moment, one cannot rule it out in future. When smart technologies ably support agriculture, it increases production in a sustainable way, thereby reducing hunger among the tribal populace. For this, the government must assist farmers in discouraging environmentally damaging activities like Jhum cultivation and cultivating poppies. For now, tribals have food to eat; nevertheless, future hunger problems could result from a lack of assistance. This research imagines a future where environmental sustainability is maintained while supplying for the requirements of the people of Manipur by giving technology-assisted farming prime importance. By using a participatory observation approach, the authors highlight how urgent it is to stop more ecological deterioration and protect the biodiversity of the area. Ultimately, a balanced ecological future for Manipurs rural and urban inhabitants depends on the adoption of sustainable smart agriculture. 2025 A. Jose Anand and Saravanan Krishnan. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104037071-1; 978-103288267-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalappa, Bharath; Upadhyay, Deepika Title A name given to the resource Behavioral Biases in Financial Markets: Understanding the Impact of Cognitive Heuristic-Driven Biases and Emotional Biases in Shaping Investment Decisions Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Behavioral Finance: Strategies for Informed Decision-Making;pp.41-63 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105035819597?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035819597?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalappa B., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Upadhyay D., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, Karnataka, India Description An account of the resource Conventional finance theories believe that the stock market is organized and that stock valuations provide all relevant facts. On the other hand, behavioral finance theories argue that stock valuations can be affected by behavioral biases, explicitly cognitive heuristic-driven biases and emotional biases. The stock market displays the current wellness of an economy, and investment decisions represent it. Investors unveil irrational actions in their investment decision strategies. The investment decision strategy itself is a cognitive procedure, as stock investors must form decisions informed by several possibilities that are available to them. This chapter provides theoretical underpinnings and an overview of the effect of behavioral biases on investors investment decision-making. This research provides an in-depth insight into cognitive heuristic-driven biases (Illusion of Control, Hindsight, Conservatism, House Money Effect, Self-Attribution, Gamblers Fallacy, Confirmation, Recency, Familiarity, and Religiosity) and emotional biases (Disposition Effect, Loss Aversion, Regret Aversion, Risk Perception, and Mental Accounting) impact investment decisions. The implications of this study could be helpful for financial markets and institutions as well as practitioners, such as equity investors and traders, portfolio and asset managers, securities analysts, wealth advisors, money managers, securities bankers, and brokers. In addition, it benefits regulators, policymakers, academicians, and researchers. The overall chapter offers a positive impact between behavioral biases and investment decisions, with distinct themes from earlier research, and contributes to generalization. Copyright 2026 by Nova Science Publishers, Inc. Subject The topic of the resource behavioral biases; behavioral finance; cognitive heuristic-driven biases; conventional finance; emotional biases; financial markets; investment decisions Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134017-2; 979-889530956-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kapoor, Aniket; Kataria, Abhinav; Dhaundiyal, Pankaj; Tiwari, Pankaj Title A name given to the resource FinTech for Sustainable Financial Market Innovation: The FinTech Transformation of Traditional Finance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived FinTech for Sustainable Financial Market Innovation;pp.59-85 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105034705948?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034705948?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kapoor A., School of Business and Management, Christ (Deemed to be University), Uttar Pradesh, Ghaziabad, India; Kataria A., School of Business and Management, Christ (Deemed to be University), Uttar Pradesh, Ghaziabad, India; Dhaundiyal P., School of Business and Management, Christ (Deemed to be University), Uttar Pradesh, Ghaziabad, India; Tiwari P., Sharda University, Andijan, Uzbekistan Description An account of the resource Fintech is transforming the traditional banking industry, resulting in creative solutions that enhance financial market sustainability. This section examines how financial technologies like blockchain, AI, mobile banking, and digital payment systems are changing banking operations to make them more transparent, efficient, and accessible. It also examines how Fintech may drive long-term financial innovation by increasing financial inclusion, lowering operating costs, and encouraging green banking activities. This chapter uses case studies and practical examples to investigate the influence of Fintech on the banking system, emphasizing green lending, digital currencies, and sustainable investing platforms. Adopting new technology presents operational and regulatory problems for banks. The global financial system is becoming increasingly dependent on sustainability, as seen by how banks use Fintech to meet the growing demands of ESG standards. This section examines how digital banking platforms, AI risk assessment algorithms, and blockchain green bonds might help banks allocate resources more responsibly. By adopting these technologies, banks can reduce their environmental impact while meeting the rising demand for ethical and accountable financial services. 2026 Nova Science Publishers, Inc. Subject The topic of the resource asset management; banking; fintech; payments Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134012-7; 979-889530930-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Khanna, Akanksha; Thomas, Mary Rani Title A name given to the resource OCCUPATIONAL AND DIVERSITY INTELLIGENCE: UNLOCKING TALENT IN THE DIGITAL ERA Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.1-21 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105034475589?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034475589?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Khanna A., Department of Management, Symbiosis International University, Dubai, United Arab Emirates; Thomas M.R., School of Commerce, Finance and Accountancy, Central Campus, CHRIST University, Karnataka, India Description An account of the resource innovations, and their implications for talent management and organizational success. Design/methodology/approach: This chapter guides the shaping of future research agendas by converting qualitative analysis into empirical and quantitative analysis, laying the foundation for integrating the concepts of OQ and DQ within the proposed conceptual framework to retain talent in the digital era. The current chapter follows a narrative review approach to synthesize the existing literature. Findings: The current chapter highlights the role of OQ and DQ in the digital era, as well as their key elements, which will empower various stakeholders with actionable insights. It offers valuable insights as a benchmark for strategic decision-making for meaningful work that would result in effective organizational development (ODV). Introduction: In todays workplace culture, organizations, and HR professionals have a strong case for embracing diversity and inclusion (D&amp;I) to enhance talent management. Occupational intelligence (OQ), when linked with diversity intelligence (DQ), can pave the way for effective individual development and organizational success. When integrated with the expanding use of artificial intelligence (AI), the synergy between these two carries the potential for creating future-ready workplaces. Purpose: Several studies highlight the role of emotional, social, cultural, and workplace intelligence and their impact on occupational success. There has been a conspicuous absence of studies that unravel the evolution of OQ and the future scope of integration with DQ in the digitalized world, which needs attention. Scope: The study would deepen the understanding of the evolving landscape of OQ and DQ, as well as industry trends and Individual chapters 2026 The authors. Subject The topic of the resource attitudes; neurodiversity; Occupational intelligence; diversity intelligence; performance management; talent management; knowledge; skills Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183708884-3; 978-183708886-7; 978-183708885-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kumar, Kukatlapalli Pradeep; Zurek-Mortka, Marta; Pillai, Vinay Jha Title A name given to the resource SECURITY VIEWPOINT IN ARTIFICIAL INTELLIGENCE-BASED SYSTEMS Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.91-104 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018283533?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018283533?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar K.P., Department of Computer Science Engineering, School of Engineering and Technology, Christ Deemed-to-be University, Kengeri Campus, Bangalore, India; Zurek-Mortka M., Department of Control Systems, Lukasiewicz Research NetworkInstitute for Sustainable Technologies, Radom, Poland; Pillai V.J., Departmenrt of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Bangalore, India Description An account of the resource Artificial intelligence (AI) is playing a key role in recent times linked with automation in almost all the fields on human interference and inventions. Industry 4.0 also signifies automation as one of the major aspects from its allies. However, on the other hand, issues and security concerns are at high priority in these systems and often are seen ignored as the AI systems are evolving as state-of-the-art technology. In this chapter, we focus on elaborating security vulnerabilities in AI-based infrastructure, explain the relation between AI attacks and cyber-attacks, and describe the sustained AI systems with inherited resilience. Case study is also considered to elicit threats and vulnerable issues associated with AI-based systems. Securing artificial intelligence and its associated techniques help in better outcomes which are tightly coupled with human monitored and controlled environments. AI algorithms need to be checked for accuracy in prediction model contexts on the evolution of technology for sustaining adversarial attacks. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lakshmaiah, Vasantha Veerappa; Jain, Sanskar; Das, Tiasa; Prakash, Tanya; Srivastava, Yash; Ballakoor, Abhay R.; Nagella, Praveen Title A name given to the resource NUTRACEUTICALS IN PREGNANCY Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Nutraceuticals for the Treatment and Prevention of Sexual Disorders;pp.163-201 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105001307413?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001307413?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lakshmaiah V.V., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Jain S., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Das T., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Prakash T., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Srivastava Y., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Ballakoor A.R., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Nagella P., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India Description An account of the resource Pregnancy is a phase in womens lives wherein they experience some physiological and bodily changes. In this period dietary supplements are crucial to meet the nutritional demand of the fetus and also to overcome certain gestational complications such as hypertension, diabetes, and anemia. Generally, the intake of micronutrients in the diet is low for women especially in developing countries while it becomes important during pregnancy as they enable uterus and placental growth, manage gestational obesity, and also avoid miscarriage. Research and clinical studies are in power in identifying various safe, plant bioactive substances, and efficient delivery systems to reduce morbidity and mortality rates of maternal, fetal, and neonatal. In recent years the growing awareness of nutraceuticals to fight against chronic diseases such as cancer, and heart disease has gained trust globally and is replacing pharmaceuticals. Knowledge of the macro- and micronutrients is necessary to modify the diet and supplement with nutraceuticals for the well-being of the mother and the fetus. The current chapter highlights the major health complications associated with pregnancy and the essential nutrients required during pregnancy and fetal growth with substantial clinical evidence. 2025 by Apple Academic Press, Inc. Subject The topic of the resource anemia; gestational diabetes; hypertension; melatonin; nutraceutical enzymes; prebiotics Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104010202-2; 978-177491731-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Lakshmaiah, Vasantha Veerappa; Jain, Sanskar; Das, Tiasa; Prakash, Tanya; Srivastava, Yash; Ballakoor, Abhay R.; Nagella, Praveen Title A name given to the resource NUTRACEUTICALS IN PREGNANCY Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Nutraceuticals for the Treatment and Prevention of Sexual Disorders;pp.163-201 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105001307413?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001307413?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lakshmaiah V.V., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Jain S., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Das T., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Prakash T., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Srivastava Y., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Ballakoor A.R., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India; Nagella P., Department of Life Sciences, Christ (Deemed to Be University), Hosur Road, Karnataka, Bengaluru, India Description An account of the resource Pregnancy is a phase in womens lives wherein they experience some physiological and bodily changes. In this period dietary supplements are crucial to meet the nutritional demand of the fetus and also to overcome certain gestational complications such as hypertension, diabetes, and anemia. Generally, the intake of micronutrients in the diet is low for women especially in developing countries while it becomes important during pregnancy as they enable uterus and placental growth, manage gestational obesity, and also avoid miscarriage. Research and clinical studies are in power in identifying various safe, plant bioactive substances, and efficient delivery systems to reduce morbidity and mortality rates of maternal, fetal, and neonatal. In recent years the growing awareness of nutraceuticals to fight against chronic diseases such as cancer, and heart disease has gained trust globally and is replacing pharmaceuticals. Knowledge of the macro- and micronutrients is necessary to modify the diet and supplement with nutraceuticals for the well-being of the mother and the fetus. The current chapter highlights the major health complications associated with pregnancy and the essential nutrients required during pregnancy and fetal growth with substantial clinical evidence. 2025 by Apple Academic Press, Inc. Subject The topic of the resource anemia; gestational diabetes; hypertension; melatonin; nutraceutical enzymes; prebiotics Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104010202-2; 978-177491731-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Manasa, Sanyasi; Kumar, Kukatlapalli Pradeep Title A name given to the resource DIGITAL FORENSICS ANALYSIS FOR ADVERSARIAL ATTACKS IN AI-BASED SYSTEMS Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.51-70 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018274596?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018274596?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Manasa P., Department of Computer Science Engineering, Christ University, Bengaluru, India; Kumar K.P., Department of Computer Science Engineering, Christ University, Bengaluru, India Description An account of the resource Digital forensics investigation is a field of science that focuses primarily on the recovery and examination of devices. The digital forensics or cyber forensics was primarily used for computer-based forensics. Artificial intel ligence (AI for short) is a group of computational models that use the black box-based technology of the neural network (NN) such as classification, prediction, and optimization tasks for various applications, such as computer vision, medical imaging, natural language processing, and autonomous vehicles. Cyber Forensics such as robotics, deals with a class of problems in which computational models are manipulated due to intentional malfunction such as adversarial attacks, back-end kind of attacks. This study is aimed to investigate attacks on AI. It also describes conceptual attack strategies using AI and digital forensics tools. The main purpose of this work is to provide a comprehensive analysis of malicious AI-based attacks and different types of classifiers. Two main factors were considered when testing attacks on AI-based systems: (1) Use AI to create inputs that reveal different attacks, or (2) Adjust attacker-specific attacks from different threat models and parameters. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary Biji, Divya; Nanjundan, Preethi; Thomas, Lijo Title A name given to the resource Employing Artificial Intelligence and Automation in Sustainable Development Research Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Sustainability and Sustainable Development From Vision To Reality;pp.83-110 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105006581733?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006581733?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mary Biji D., Department of Data Science, Christ University, Bengaluru, India; Nanjundan P., Department of Data Science, Christ University, Bengaluru, India; Thomas L., Christ University, Bengaluru, India Description An account of the resource The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. Subject The topic of the resource AI; Digitalization; Sustainable development Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038164-9; 978-100363810-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mary Biji, Divya; Nanjundan, Preethi; Thomas, Lijo Title A name given to the resource Employing Artificial Intelligence and Automation in Sustainable Development Research Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Sustainability and Sustainable Development From Vision To Reality;pp.83-110 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105006581733?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006581733?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mary Biji D., Department of Data Science, Christ University, Bengaluru, India; Nanjundan P., Department of Data Science, Christ University, Bengaluru, India; Thomas L., Christ University, Bengaluru, India Description An account of the resource The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. Subject The topic of the resource AI; Digitalization; Sustainable development Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104038164-9; 978-100363810-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Nandy, Rimi; Dattagupta, Mukulika Title A name given to the resource Rays Women and Sartorial Choices: Exploring Through Colonial and Feminist Perspective Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Fashioning the Asian Century: Sustainability, Aesthetics, and Popular Culture in the New Millennium;pp.107-127 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105038823105?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038823105?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nandy R., Department of English and Cultural Studies, Christ University, Pune Lavasa Campus, India; Dattagupta M. Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available Bloomsbury Publishing Plc. Relation A related resource ISBN: 978-135046086-7; 978-135046084-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Niranjan, L.R.; Rajan, Shivakami Title A name given to the resource REVOLUTIONIZING HR: AI-DRIVEN TRANSFORMATION IN TALENT ACQUISITION, DEVELOPMENT, AND MANAGEMENT Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization;pp.95-112 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105034486368?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034486368?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Niranjan L.R., aSchool of Business and Management, Christ University, Karnataka, Bangalore, India; Rajan S., Faculty of Management and Commerce, Ramaiah University of Applied Sciences, Karnataka, Bangalore, India Description An account of the resource Introduction: Organizations in the knowledge-based industry depend on intellectual capacity, where key talent plays a major role in their success and business sustainability. Human resource (HR) management, in its traditional form involves labour-intensive processes and practices that are prone to unconscious bias, inadequate retention measures and diversity issues creating significant challenges in talent management. Purpose: The study brings to the fore a multi-stakeholder outlook that makes the adoption of artificial intelligence (AI) very lucrative. This study aims to highlight the capabilities of AI that address its limitations and retain a human-centric approach. Scope: The study encompasses the whole gamut of talent management lifecycle, starting from recruitment automation initiatives to onboarding, career planning and development, employee engagement, performance management, and succession planning in large global organizations. Methodology: The authors carried out an extensive review of the literature and analysis of use cases encompassing the use of AI and its implementation strategies, outcomes, and best practices, spanning the myriad talent acquisition and management functions. Findings: About 40% of large organizations have plans to invest in AI-enabled skills management solutions by 2028. AI-driven talent analyticshaveenabledbettercandidateassessment,hiringbiaseshave significantly reduced, and retention rates have increased an 82%. Significant workload savings, enhanced prediction capabilities, and improved accuracy across talent management processes are some of the other benefits of AI-enabled talent management solutions. AI usage has enhanced HR professionals efficiency, leadership has improved their decision-making capabilities, and employees have experienced increased opportunities for personal and professional development. Individual chapters 2026 The authors. Subject The topic of the resource Artificial intelligence; bias reduction; human resource virtual assistants; human-centred HR; recruitment automation; talent management Publisher An entity responsible for making the resource available Emerald Group Publishing Ltd. Relation A related resource ISBN: 978-183708884-3; 978-183708886-7; 978-183708885-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Prathap, Boppuru Rudra; Kumar, Kukatlapalli Pradeep; Joseph, P. Mani Title A name given to the resource ONLINE CUSTOMERS PURCHASE INTENTIONS CLASSIFICATION USING HYBRID XGBOOST MACHINE LEARNING MODEL AND ITS SECURITY CONCERNS Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.137-154 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018271559?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018271559?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prathap M.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University, Bangalore, India; Kumar K.P., Department of Computer Science and Engineering, CHRIST (Deemed to be University, Bangalore, India; Joseph P.M., Department of Computer Science, Modern College of Business and Science, Muscat, Oman Description An account of the resource With technology advancing rapidly and data growing at an unprecedented rate, e-commerce businesses are gathering extensive customer informa tion. Yet, many organizations struggle to fully leverage this data. Grasping customer behaviour is vital for businesses aiming to create effective marketing strategies, boost product visibility, and drive sales. Several factors affect consumer purchasing decisions, including search history, time spent viewing products, bounce rates, and demographic details like age, gender, and income. This study investigates the key elements influencing customer behaviour and investigates data mining techniques to enhance revenue predictions. A major challenge in e-commerce is converting website traffic into actual sales. Attracting visitors alone does not ensure revenue. To tackle this issue, classification techniques are used to assess the likelihood of a purchase based on user interactions. Furthermore, while artificial intel ligence and machine learning have revolutionized e-commerce analytics, security issues persist. Adversarial attacks on machine learning models can create risks, making security a critical consideration. This research offers a thorough analysis of classification techniques for evaluating business revenue generation. It also examines ways to improve model accuracy while addressing security weaknesses. The findings aim to enhance e-commerce decision-making, customer targeting, and overall business growth. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104009235-4; 978-177491622-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library