95 20 16488 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 Singh, Mahaveer; Patil, Anasuya; Tomar, Ravindra Singh; Sharma, Gyanendra Kumar; Lakshmi, K.; Anjali, P.K.; Aher, Vaibhav Dagaji Title A name given to the resource Future Possibilities for Integrating AI with Nano-Carrier Technology 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 Nanotechnology for Nucleic Acid Delivery;pp.231-253 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511853-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511853-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028466731?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028466731?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 Singh M., Department of Pharmaceutics, Dr Karigowda College of Pharmacy, Karnataka, Hassan, India; Patil A., Department of Pharmaceutics, KLE College of Pharmacy, Karnataka, Rajajinagar, Bangalore, India; Tomar R.S., Department of Electronics and Computer Engineering, Anand School of Engineering and Technology, Sharda University, Uttar Pradesh, Agra, India; Sharma G.K., Sharda School of Pharmacy, Sharda University, Uttar Pradesh, Agra, India; Lakshmi K., Department of Pharmacy, Chettinad School of Pharmaceutical Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Tamil Nadu, Kelambakkam, India; Anjali P.K., Department of Economics, CHRIST, Deemed to Be University, Karnataka, Bangalore, India; Aher V.D., Department of Pharmaceutical Medicine, Maharashtra University of Health Sciences, Maharashtra, Nashik, India Description An account of the resource The convergence of artificial intelligence (AI) and nanotechnology presents exciting prospects for advancing drug delivery systems. This review explores the potential synergies between AI and nanocarrier technology to enhance drug delivery efficiency and therapeutic outcomes. We examine current developments in both fields and propose future directions for integrating AI algorithms with nanocarrier design, optimization, and personalized medicine approaches. AI can play a pivotal role in guiding the rational design of nanocarriers, optimizing drug loading and release kinetics, predicting in vivo behavior, and tailoring treatments to individual patient needs. Challenges such as regulatory hurdles, data privacy concerns, and the need for interdisciplinary collaboration are also discussed. Overall, the integration of AI with nanocarrier technology offers unprecedented opportunities to revolutionize drug delivery and improve patient care in the years to come. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104088820-9; 978-199851184-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Srivastava, Mallika; Sinha, Mudita Title A name given to the resource The Road to Marketing Success: Drivers and Barriers in SME Strategy Implementation 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 Strategic Leadership and Management;pp.205-225 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511433-13" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511433-13</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025633007?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025633007?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 Srivastava M., NMIMS, Karnataka, Bangalore, India; Sinha M., Christ University, Karnataka, Bangalore, India Description An account of the resource Purpose: The paper seeks to present the drivers and barriers to implementing effective marketing strategies by SMEs in India. In this current research, a systematic literature review (SLR) was adopted to collect existing literature; after identifying relevant literature, topic modeling was used to identify significant research themes in the SME sector. Methodology: A semi-structured interview was conducted for data collection by interviewing SME owners and managers, which was analyzed via thematic analysis (TA) to identify different barriers and drivers of SMEs in implementing effective marketing strategies. Findings: The discussion of the study has collated and proposed a combined set of drivers and barriers from all three methodologies. The studys findings highlight that external and internal barriers and drivers impact SMEs implementation of effective marketing strategies in India. Originality: This paper combines three approaches, namely structured literature review, topic modeling, and TA, to identify SMEs different barriers and drivers in implementing effective marketing strategies. 2026 by Apple Academic Press, Inc. Subject The topic of the resource barriers; drivers; marketing strategies; SMEs; thematic analysis; topic modeling Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080547-3; 978-199851142-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Baranidharan, S.; Rajkumar, R.; Devesh, Sonal; Mallika, B.K. Title A name given to the resource Navigating the Strategic Labyrinth: Bridging Gaps in Theory, Implementation, and Adaptation 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 Strategic Leadership and Management;pp.191-203 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511433-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511433-12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025626442?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025626442?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 Baranidharan S., School of Business and Management, Christ University, Karnataka, Bangalore, India; Rajkumar R., PG and Research Department of Commerce, St. Josephs College of Arts and Science (Autonomous), Tamil Nadu, India; Devesh S., School of Business and Management, Christ University, Karnataka, Bangalore, India; Mallika B.K., School of Business and Management, Christ University, Karnataka, Bangalore, India Description An account of the resource The dynamic business landscape demands agile strategists, yet gaps remain between theory and practice. This study delves into five key areas for navigating the strategic maze: Tools are needed to translate theoretical frameworks into actionable strategies for diverse contexts. Factors enabling or hindering successful implementation across organizations, as explored by Haghighi et al. (2019), require a deeper understanding. Embracing Emerging Trends: Disruptive technologies like Eissas (2018) smart grid program necessitate strategic adaptation and exploration of their potential. Humanizing Strategy: Insights from behavioral economics and cognitive psychology can guide us in understanding the human factors influence on strategic decision-making. Context-Specific Strategies: Tailoring strategies to unique challenges and opportunities faced by different sectors and regions is key to sustainable success. By addressing these gaps, the study empowers organizations to navigate the strategic landscape with greater agility and effectiveness. This journey requires embracing a human-centered approach, fostering continuous learning, and bridging the theory-practice divide. Ultimately, equipping organizations with these tools will pave the way for a more resilient and sustainable future. 2026 by Apple Academic Press, Inc. Subject The topic of the resource agility; context-specific strategies; human factor; implementation; strategic management; theory-practice gap Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080547-3; 978-199851142-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Nanda, Sudhansu Sekhar; Biswal, Sthitipragyan; Indoria, Devadutta; Palav, Manesh R.; Babu, S. B. G. Tilak; Patil, Anand Title A name given to the resource Economic Insights: The Computational Intelligence Perspective on 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 Computational Intelligence Solutions for Real-Life Problems;pp.113-130 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511013-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511013-7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024027044?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024027044?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 Nanda S.S., Faculty of Management Studies, Sri Sri University, Odisha, Cuttack, India; Biswal S., Symbiosis School of Banking and Finance, Symbiosis International, Pune, India; Indoria D., Department of Commerce, Vikram Dev University, Odisha, Jeypore, India; Palav M.R., Department of MBA, Global Business School and Research Center, Dr. D. Y. Patil Vidyapeeth, Maharashtra, Pune, India; Babu S.B.G.T., Department of Electronics and Communication Engineering, Aditya Engineering College, Andhra Pradesh, Surampalem, India; Patil A., School of Business and Management, Christ University, Karnataka, Bangalore, India Description An account of the resource Using technological advancements and shifting risk landscapes as a driving force, this abstract investigates the revolutionary approaches that have reshaped risk mitigation in contemporary contexts. Introducing a new era of proactive risk management has been made possible by the combination of artificial intelligence (AI), machine learning (ML), and predictive analytics. Organizations are able to recognize patterns and anticipate potential risks with an accuracy that has never been seen before, thanks to these technologies, which analyze vast datasets. By extracting valuable insights from unstructured data sources, natural language processing (NLP) and sentiment analysis broaden the scope of risk assessment with their respective capabilities. Blockchain technology improves both transparency and security, particularly in the realm of financial transactions, thereby lowering the likelihood of fraudulent activity. Cloud computing makes dynamic risk modeling easier to accomplish, which in turn makes it possible to simulate real-time scenarios. The cumulative effect of these innovations not only improves the efficiency of risk reduction, but it also helps organizations develop risk management frameworks that are more agile and resilient. When navigating the complexities of a risk landscape that is constantly shifting, it is essential to strike a balance between technological advancements, ethical considerations, and transparency. 2026 by Apple Academic Press, Inc. Subject The topic of the resource artificial intelligence; blockchain technology; cloud computing; machine learning; natural language processing; predictive analytics; risk mitigation; sentiment analysis Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080568-8; 978-199851100-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Reddy, N. Srikanth; Baruah, Anganabha; Raha, Shrinwantu; Babu, S. B. G. Tilak; Kumar, K. Keshav; Suganya, S. Title A name given to the resource The Road Ahead: Charting Future Research Directions in Computational Intelligence 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 Computational Intelligence Solutions for Real-Life Problems;pp.19-35 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511013-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511013-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024053455?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024053455?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 Reddy N.S., School of Management, Presidency University, Karnataka, Bangalore, India; Baruah A., Department of Psychology, Christ University, NCR, Uttar Pradesh, Delhi, India; Raha S., Department of Geography, Bhairab Ganguly College, West Bengal, Kolkata, India; Babu S.B.G.T., Department of Electronics and Communication Engineering, Aditya Engineering College, Andhra Pradesh, Surampalem, India; Kumar K.K., Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science (for Women), Telangana, Hyderabad, India; Suganya S., Department of Electrical and Electronics Engineering, Sethu Institute of Technology, Kariapatti, India Description An account of the resource The synergy between neuroscience and computational intelligence fosters a dynamic exchange that significantly advances both fields. At its core, this convergence focuses on emulating the brains intricate mechanisms to inspire and enhance machine learning (ML) models. Neural networks (NNs), foundational to computational intelligence, are modeled after biological neurons and drive artificial neural networks (ANNs) that excel in tasks simulating human cognition. Neuromorphic computing furthers this concept by designing hardware and software with braininspired architectures, enabling energy-efficient AI systems. A notable breakthrough is brain-computer interfaces (BCIs), which translate neural signals into actionable commands, offering transformative solutions for individuals with paralysis. Additionally, cognitive computing leverages neuroscience insights to emulate higher-order mental processes, enabling the development of intelligent, context-aware systems. Conversely, ML algorithms, especially in pattern recognition, empower neuroscience by analyzing large-scale brain imaging data to uncover hidden patterns and correlations. This bidirectional interaction accelerates discoveries in neurology and psychology while deepening our understanding of brain function. Together, neuroscience and computational intelligence form a powerful alliance, shaping the future of intelligent technologies and brain science. 2026 by Apple Academic Press, Inc. Subject The topic of the resource artificial neural networks; brain-computer interfaces; computational intelligence; machine learning; neural networks; neuromorphic computing; neuroscience Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080568-8; 978-199851100-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Makhija, Priya; Archana; Babu, S. B. G. Tilak; Sharma, Abhishek; Sharma, Ankitha; Patil, Anand Title A name given to the resource Financial Insights Unleashed: Computational Intelligence in Practice 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 Computational Intelligence Solutions for Real-Life Problems;pp.167-184 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781998511013-10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511013-10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024034238?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024034238?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 Makhija P., Faculty of Management, Center for Management Studies, Karnataka, Bangalore, India; Archana, Uttar Pradesh, Lucknow, India; Babu S.B.G.T., Department of Electronics and Communication Engineering (ECE), Aditya Engineering College, Andhra Pradesh, Surampalem, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Patil A., School of Business and Management, Christ University, Karnataka, Bangalore, India Description An account of the resource This study explores how artificial intelligence (AI) is changing the banking sector and identifies important uses and consequences. Fintech is evolving, from AI-powered credit risk evaluations to the real-time effects of news and social media on markets. Customary financial procedures are being transformed by the incorporation of blockchain technology, smart contracts, and collaborative models that combine human and AI. It is important to balance risk and return while implementing computational intelligence (CI), and there are several obstacles associated with this technical advance, such as ethical issues and data privacy solutions. This 168changing financial story emphasizes the importance of finding a careful balance between innovation and responsibility. Financial decision-making will hopefully become data-driven, customer-focused, and morally based in the future thanks to the cooperative synergy between humans and AI. The development of a robust and thoughtful financial landscape depends critically on ongoing monitoring, adaptability, and dedication to ethical AI practices. 2026 by Apple Academic Press, Inc. Subject The topic of the resource algorithmic trading; artificial intelligence; blockchain integration; computational intelligence; credit scoring; data privacy; financial decision-making; machine learning; predictive analytics; quantum computing; smart contracts Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080568-8; 978-199851100-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Gupta, Chabi; Pallissery, Fincy; Parashar, Kriti Title A name given to the resource Technology-Enabled Smart Healthcare toward Smart Society 5.0 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 Machine Learning Applications for Data Analysis in Healthcare Systems;pp.145-156 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781779643193-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781779643193-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024379110?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024379110?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 Gupta C., Amity College of Commerce and Finance Amity University, Noida, India; Pallissery F., School of Law, Christ University Delhi NCR Campus, Delhi, India; Parashar K., School of Law, Christ University Delhi NCR Campus, Delhi, India Description An account of the resource The emerging technologies such as artificial intelligence (AI), the Internet of Things (IoT), blockchain, 3D printing, and 5G networking (referred as AIB35) in the context of smart healthcare are being greatly explored by smart healthcare providers to move forward in an all-encompassing manner. The field of healthcare requires scientists to implement intelligent solutions into the daily routines of smart aging patients to improve the efficiency and precision of diagnostic and therapeutic procedures. The concept of smart aging refers to a program that makes it possible for elders to have a superior quality of life by embracing high-end technology solutions to diagnosis and disease. Healthcare technologies are a wide range of innovations, including connected devices, appliances, and procedures, as well as drugs, medicine, and vaccine that improve the level and quality of care provided at economic cost structures. The purpose of this study is to first present a listing of the principal technologies that underpin smart healthcare, and then to present it in several significant domains. After that, we elaborate on the issues that now exist with smart healthcare and attempt to provide potential solutions to these issues. In the final part of this chapter, we take a glance into the road ahead and assess the prospects of smart healthcare toward building a smart society 5.0. 2026 by Apple Academic Press, Inc. Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104080704-0; 978-177964319-3; 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 Format The file format, physical medium, or dimensions of the resource online 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 Narayan, Usha; Sharath Kumar, K.M.; Baba, M. Sai; Saremi, Hamid Title A name given to the resource The Vital Role of Artificial Intelligence in the Dynamics of Human Resource 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 AI Dynamics in HRM: Revolutionizing Practices for the Future Workplace;pp.225-255 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781779641373-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781779641373-8</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039614441?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039614441?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 Narayan U., School of Business and Management, CHRIST University, Karnataka, Bengaluru, India; Sharath Kumar K.M., Department of Management Studies, Faculty of Management and Commerce, Ramaiah University of Applied Sciences, Karnataka, Bengaluru, India; Baba M.S., National Institute of Advanced Studies, Karnataka, Bengaluru, India; Saremi H., Faculty of Financial Management, Business school, Iranian Electronic University, Tehran, Iran Description An account of the resource Human resources play a pivotal role in ensuring the growth of the organizations. Competency mapping, identifying skill gaps, and right talent identification are vital for enhancing the effective functioning of the organizations. As the organizations size increases, these functions become a challenge. In addition to managing the day-to-day operations, organizations are moving toward implementing effective processes for human resource development. Automating and adopting data-driven processes aids in transforming HR into an effective arm of the organization. The advent of artificial intelligence (AI) tools is becoming part of several organizations. These tools relieve HR personnel from spending time on routine tasks and drive them toward strategic decision-making. Organizations are finding AI is crucial in driving innovation in their business models. Thus, transforming processes and creating disruption are warranted to attain a competitive edge. The introduction of AI-driven systems in business organizations leads to significant changes in the demographic gambit of the workforce. It transforms the characteristics and significance of jobs and the relationship between employers and employees. The interaction between people and technology, and the customer experience in a rapidly changing market will be influenced by AI. The practices adopted by organizations in Middle East countries are also discussed. 2026 by Apple Academic Press, Inc. Subject The topic of the resource Artificial intelligence; Decision-making; Higher education institutes; Human resource management; Performance management system; Resource-based view Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104096633-4; 978-177964136-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Puri, Neha; Tewari, Seema; Wadhwa, Shobhit Title A name given to the resource Navigating Prosperity: A Bibliometric Analysis of Financial Literacy and Sustainable Development Goals 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 E-Financial Strategies for Sustainable Development: A Handbook for Promoting Financial Inclusion and Ending Poverty (SDG 1);pp.231-246 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781779640956-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781779640956-12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027173667?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027173667?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 Puri N., Amity College of Commerce and Finance (ACCF), Amity University, Noida, India; Tewari S., Christ University, Ghaziabad, India; Wadhwa S., F. C. Manning School of Business, Acadia University, Wolfville, NS, Canada Description An account of the resource The field of financial literacy and SDGs research has advanced significantly as countries place a greater emphasis on financial education and skill development. From 2017 to 2024, 1,017 SCOPUS papers were retrieved for this study. The study gives an overview of studies, trends, and future directions. The efficacy of financial literacy (FL), its impact on economic expansion, and its capacity to promote sustainable practices have all been extensively studied. Prospective pursuits involve advancing financial competencies and assessing their influence on income distribution, evaluating international cooperation initiatives, promoting environmentally friendly technologies, and designating green tax proceeds for environmental initiatives. The constantly growing corpus of research offers crucial direction for decision-makers dedicated to boosting FL and accomplishing Sustainable Development Goals (SDGs). 2026 by Apple Academic Press, Inc. Subject The topic of the resource bibliometric analysis; bibliometrics; digitalization; financial education; financial inclusion and entrepreneurship; financial literacy; financial markets; policymakers; scientometric analysis; sustainable development goals Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104087377-9; 978-177964094-9; 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 Format The file format, physical medium, or dimensions of the resource online 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 Saha, Saibal Kumar; Diyaley, Sunny Title A name given to the resource Bibliometric Analysis on Multiobjective Optimization and Metaheuristic Algorithm 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 Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes;pp.27-50 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781774919590-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781774919590-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023793487?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023793487?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 Saha S.K., School of Business and Management, Christ University, India; Diyaley S., Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India Description An account of the resource For difficult optimization issues, metaheuristic algorithms are effective methods for obtaining workable solutions quickly. In the past few years, continuous efforts have been put forward by researchers to develop new effective and robust metaheuristic algorithms for solving engineering optimization problems. The research aims to find the advancements made in multi-objective optimization and metaheuristic algorithms. Metadata of 4149 articles were extracted from Scopus from the year 2000 onward and bibliometric analysis was done with the help of the VOSviewer software. It was found that Mirjalili. S. has the highest number of citations (4011). IEEE Access has published the maximum number of documents (128), the University of Tehrans School of Industrial Engineering has contributed the most in this field of research (43 documents), and China has the most contribution among all the countries with 977 documents. In recent years, the terms optimization algorithms, exploration and exploitation, learning systems, decision-making, uncertainty analysis, sustainable development, supply chains, neural networks, forecasting, machine learning, and cloud computing are being mostly used by researchers. 2026 by Apple Academic Press, Inc. Subject The topic of the resource bibliographic coupling; bibliometric analysis; co-citation analysis; metaheuristic; multi-objective optimization; optimization problems; VOSviewer Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104081278-5; 978-177491958-3; 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 Format The file format, physical medium, or dimensions of the resource online 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 Divyashree, K.S.; Mishra, Achyutananda Title A name given to the resource Unconventional Adjudication: Promise of Blockchain-Based Dispute Resolution 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 Applying Blockchain Technology: Concepts and Trends;pp.169-182 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781032654812_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032654812_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005692925?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005692925?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 Divyashree K.S., School of Law, Christ University, Bangalore, India; Mishra A., School of Law, Christ University, Bangalore, India Description An account of the resource Blockchain technology is called disruptive technology. In the 1990s, the internet had the potential to revolutionize the entire industrial sector in the same way blockchain technology will change the face of society in the 2000s. Blockchain is the technology that also provides a platform for dispute resolution via smart contracts. The technology aims to create an anonymous and decentralized platform for transactions that do not require any state monitoring or intermediary. Blockchain is a decentralized network that generates an immutable record of transactions. A smart contract is a self-executing software application that executes a function automatically. When the prerequisites are met, the contract automatically takes effect. Blockchain-based dispute resolution (BDR) platforms provide services to resolve disputes resulting from blockchain and smart contract transactions, as well as traditional disputes unrelated to blockchain transactions. Blockchain-based DAO (decentralized autonomous organizations) are established, which are used to settle healthcare-related disputes between doctors, patients, insurance claims, etc. The blockchain platform offers unconventional processes for adjudication that are also distinct, unstructured, and unregulated. The platforms do not adhere to the accepted norms of alternative dispute resolution (ADR) and online dispute resolution (ODR) systems, raising concerns about the platforms authenticity and legitimacy, as well as the need for regulation. The purpose of this chapter is to examine the application of blockchain technology in dispute resolution and to comprehend regulatory issues. 2025 selection and editorial matter, Dr. Javaid Iqbal, Dr. Alwi M. Bamhdi, Dr. Bilal Ahmad Pandow, and Dr. Faheem Syeed Masoodi; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104034466-8; 978-103263966-6; 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 Format The file format, physical medium, or dimensions of the resource online 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 Naveenkumar, Pushpalatha; Sharma, Vandana; Devarajan, Gunapriya Title A name given to the resource AI in Mechatronics Engineering 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 Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation;pp.1-20 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781032615790-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032615790-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017364844?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017364844?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 Naveenkumar P., Department of Electrical and Electronics Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India; Sharma V., Computer Science Department, Christ University, Bengaluru, India; Devarajan G., Department of Electrical and Electronics Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, India Description An account of the resource Robotic engineering, with a focus on the combination of artificial intelligence (AI) together with robotics, computers, electronics, and mechanical systems, as well as control system implementations, allows for many inventions. Key applications of AI in mechatronics engineering practice will be advanced production, intelligent robotics, predictive maintenance, and design optimization control. Robotics engineers are able to incorporate AI into their systems such that data can be collected, analyzed, and modeled, then used to enhance the dependability, flexibility, as well as performance of the systems. This chapter researches the engineering integration of AI along with mechatronics and the industries it is disrupting. Moreover, it addresses the basic definition of AI and its main application areas within mechatronics and its prospects toward enabling enhanced control systems, predictive maintenance, design optimization, intelligent robotics, and improved production in any contemporary industry. Such systems may be developed by mechatronics engineers due to the enriched capabilities of AI in data analysis, recognition, and decision-making. This study also addresses the limits and moral issues to the ethics of combining artificial and human power and suggests ideal steps for more study and advancement in the areas outlined. 2026 selection and editorial matter, Pushpalatha Naveenkumar, Vandana Sharma, Gunapriya Devarajan, Azween Abdullah, and Ahmed A. Elngar. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104040816-2; 978-103261435-9; 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 Format The file format, physical medium, or dimensions of the resource online 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 Kaushal, Swati; Shrivastava, Vikalp; Neha Title A name given to the resource Punishing poverty: The economic disparity of the poor in the criminal justice system 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 Humanities and Social Sciences: A Multidisciplinary Approach;pp.781-786 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003771937-118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003771937-118</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038872175?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038872175?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 Kaushal S., School of Law, CHRIST University (Christ (Deemed to be University), NCR, Delhi, India; Shrivastava V., School of Law, CHRIST University (Christ (Deemed to be University), NCR, Delhi, India; Neha, Amity Law School, Amity University, Noida, India Description An account of the resource Equality before law is one of the most significant features of the Indian constitution. Anyone who seeks justice must be provided with legal support without any discrimination. An accused is also assured of penalization based on the tenets of equality irrespective of his ethnicity, religion, economic, social background, etc. Poor parity has led to discriminatory approaches in awarding punishments to offenders belonging to economically marginalised sections of society. The low paying capacity of the poor offenders gives an upper edge to the rich offenders who has better paying capacity of fines or damages and suffer less severe repercussions through the justice system. This paper will conduct a comprehensive study to identify the discrepancies in the penalization process and its implications in the dispensation of justice. It will also explore the factors such as social background, ethnicity, and economic status which play an integral part in influencing the legal and sociological perspectives of the stakeholders of the justice delivery system. It will analyze the judicial trend and legislative framework to ensure equitable justice. It will conclude with suggestions and recommendations for the formulation of robust policies to ensure a just penal administration. 2026 The Author(s). Subject The topic of the resource criminal justice system; damages; discrimination; fines; poor parity Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-100377193-7; 978-104129925-7; 978-104130185-1; 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 Format The file format, physical medium, or dimensions of the resource online 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 Verma, Vijeta; Pandey, Vijaishree Dubey; Singh, Sheetal Title A name given to the resource Smart Villages and Cities: A Sustainable Imperative for Emerging IndiaA Journey from Painful to Thoughtful 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 Fuzzy Logic in Revolutionizing Renewable Energy;pp.435-459 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003741916-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003741916-18</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027157895?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027157895?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 Verma V., CHRIST, Deemed to be University, Delhi NCR, India; Pandey V.D., CHRIST, Deemed to be University, Delhi NCR, India; Singh S., CHRIST, Deemed to be University, Delhi NCR, India Description An account of the resource Smart cities and villages refer to making cities and villages more beautiful and fuller of all the requirements that can make the lives of the people living in the cities and villages more comfortable and satisfactory. On 25th June 2015, this initiative was launched by the Central government, and the time limit for completion was 5 years, but due to the pandemic situation, it was further extended by the central government, and this year, all the states are required to submit their respective report about the progress in this regard. In India, 70% of the total population lives in Villages and only 30% are part of urban areas. In India, villages should be a combination of smart and digital villages. If the work is done at the grassroots level, it will 436solve many problems, such as migration, employment, poverty, education, and medical facilities. Sustainability of the environment is one of the basic requirements for humankind globally. In 2015, the United Nations introduced Sustainable Development Goals (SDGs) to address environmental and economic issues and challenges and to provide and promote better and more sustainable pathways for the future generation globally. It is not a matter of concern for a group of countries, but every single species is affected by environmental issues. Owing to the dense population, infrastructure, buildings, and commercialization, cities are more prone and susceptible to the effects of climate change and natural disasters. while increasing the sustainability of urbanization processes is necessary to protect the environment, reduce the risk of disasters, and address climate change, building urban resilience is essential to preventing losses in terms of people, society, and the economy. Goal 11 of the SDGs deals with Sustainable Cities and Communities. Focusing more on urbanization in such a way that comprehensively controls and plans the development of cities and villages using different technologies and sciences to make them smart cities and villages. By ensuring that smart cities and villages will help us in many ways, they can control the migration of the human population from one city to another in search of employment and basic needs. In India, the government should focus on creating smart villages rather than smart cities. Around 69% of the population lives in the villages, and they do not have the basic amenities like electricity, clean drinking water, roads, transportation, and a source of employment. 2026 Jenny Stanford Publishing Pte. Ltd. Subject The topic of the resource International Instruments; SDGs; Smart Cities and Villages; Urbanization Publisher An entity responsible for making the resource available Jenny Stanford Publishing Relation A related resource ISBN: 978-104085344-3; 978-981512992-2; 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 Format The file format, physical medium, or dimensions of the resource online 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, Sunita; Sukanya, S.; Ghosh, Nabanita; Benedict, D. John Title A name given to the resource Reengineering the Rural Economy by Leveraging the Use of Financial Services: A Lynchpin 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 Rural Futures: Innovation, Resilience, and Sustainable Development;pp.381-402 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003741732-14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003741732-14</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027364145?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027364145?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 S., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Sukanya S., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Ghosh N., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Benedict D.J., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, India Description An account of the resource Financial services form the bedrock of the economy, intricately woven into its fabric, exerting a profound influence on its dynamics and growth trajectory. Financial services play a momentous role in the complex web of global economies, delicately interlacing the strands of trade, capital accumulation, and risk mitigation. These services serve as an essential hub, linking people, companies, and governments in a complex web of exchanges and interactions, from the busy streets of big metropolises to the serene settings of rural villages. The chapter emphasizes the importance of financial services in promoting rural businesses by uplifting their stream of earnings by making use of emerging technologies. It also focuses on the challenges and opportunities faced by the rural population in obtaining financial assistance. The chapter also discusses the modern financial service schemes introduced so far for rural development and the suggestions for future implementation. The ways and means to mitigate shortcomings of the development of the rural business due to negligible awareness and restricted accessibility to financial services are also highlighted in the study. 2026 Jenny Stanford Publishing Pte. Ltd. All rights reserved. Publisher An entity responsible for making the resource available Jenny Stanford Publishing Relation A related resource ISBN: 978-104085274-3; 978-981512993-9; 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 Format The file format, physical medium, or dimensions of the resource online 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 Jangid, Harsh; Kannan, M.; Dua, Arush; Jaiswal, Kush; Singh, Gurinder; Agrawal, Rayan Title A name given to the resource Prediction of health insurance premium using bidirectional long short-term memory network with local interpretable model-agnostic explanations 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, Computational Intelligence, and Inclusive Technologies: Proceedings of International Conference on Artificial Intelligence, Computational Intelligence, and Inclusive Technologies (ICRAIC2IT 2025);pp.621-630 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003740100-77" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003740100-77</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030796312?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030796312?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 Jangid H., Department of Computer Science, CHRIST University, Bengaluru, India; Kannan M., Department of Computer Science, CHRIST University, Bengaluru, India; Dua A., Department of Computer Science, CHRIST University, Bengaluru, India; Jaiswal K., Department of Computer Science, CHRIST University, Bengaluru, India; Singh G., Department of Computer Science, CHRIST University, Bengaluru, India; Agrawal R., Department of Computer Science, CHRIST University, Bengaluru, India Description An account of the resource This research proposes an application of deep learning techniques towards the prediction of insurance premiums using ConvLSTM, BI-LSTM, and CNN-LSTM models. Nowadays, Insurance is becoming more sophisticated, there is a need for better models that predict premiums so that risk factors that can be properly valued. The aim of this study is to improve the accuracy and reliability of insurance premium prediction using deep learning methods. The main challenge is the shallow traditional models, whose capturing of temporal dependencies is ineffective and results are not explainable resulting in very few stakeholders having any trust to the predictions. To solve this, this study compared three models: ConvLSTM model, BI-LSTM and CNN LSTM. Of these, the BI-LSTM model was the most effective because it was able to learn bidirectional sequential patterns. These patterns were enhanced using L2 regularization, dropout and dense layers to improve generalization. The dataset used comes from a Kaggle repository, which contained actual insurance data incorporating age, BMI, region and smoking as attributes. Results showed that BI-LSTM had performed the best as compare to other models in terms of accuracy and loss minimization. Important findings highlighted features such as age, smoking, and BMI as pivotal to estimating premiums. Also, to make the model explainable, we incorporated Explainable AI using LIME which delivers interpretable explanations by showing and visualizing the most important features for single predictions. 2026 selection and editorial matter, K. V. Sambasivarao, and Anasuya Sesha Roopa Devi Bhima; individual chapters, the contributors. All rights reserved. Subject The topic of the resource Deep learning; Health insurance; LSTM; Machine learning; XAI Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104089003-5; 978-104124091-4; 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 Format The file format, physical medium, or dimensions of the resource online 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 Shivaprasad, G.; Ravindra Babu, S. Title A name given to the resource Influence of Pandemic-Induced Risk Awareness on Life Insurance Preferences 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 Applied Research for Growth, Innovation and Sustainable Impact;pp.400-405 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003684657-66" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003684657-66</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032939152?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032939152?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 Shivaprasad G., Faculty of Management Studies, CMS Business School JAIN (Deemed-to-be University), Bangalore, India; Ravindra Babu S., School of Business and Management (SBM), CHRIST University, Bangalore, India Description An account of the resource The COVID-19 Pandemic has created significant challenges and adjustments in several areas, including life and health insurance policies. By reviewing investors' views on life insurance as a possible investment route and studying the development of health and life insurance policies after COVID-19, this study aims to investigate the complicated elements of these changes. By means of a thorough examination of current patterns, beliefs, and obstacles within the life insurance domain, this study aims to explain the intricate relationship among outside factors, industry modifications, and personal perspectives. The study starts with a thorough analysis of the literature, which offers a theoretical framework for comprehending the ideas of life insurance, and how the COVID-19 pandemic has affected the insurance market. The latest developments in the life insurance industry since the pandemic's start are then examined using empirical research techniques, such as surveys and data analysis. This section tries to clarify the major changes in policies and practices through an examination of industry reports, changes in regulations, and market dynamics. The research looks at perceptions and trends as well as the difficulties investors have when choosing life insurance policies. It looks for typical obstacles, worries, and myths that prevent people from using life insurance products through a mix of qualitative and quantitative analysis. By comprehending these difficulties, the study hopes to shed light on possible approaches for getting over obstacles and boosting investor confidence in life insurance as a sound financial choice. Overall, by providing a thorough examination of the development of health and life insurance policies following COVID-19 and the perspectives on life insurance as an investment source, this study adds to the body of knowledge subsequently in existence. It offers insightful information to policymakers, industry players, and individual investors alike by addressing the goals of examining current trends, looking into investor views, and comprehending the difficulties experienced by investors. 2026 selection and editorial matter, Dr. Harold Andrew Patrick and Dr. Ravichandran Krishnamoorthy; individual chapters, the contributors. Subject The topic of the resource Challenge; COVID-19; Health insurance; Investment; Investor perception; Life insurance; Policy evolution Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104075308-8; 978-104116441-8; 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 Format The file format, physical medium, or dimensions of the resource online 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 Ravichandran, K.; Ajitha, S.; Punniyamoorthy Title A name given to the resource Comparative Analysis of Banking StocksBSE BANKEX vs. NEPSE 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 Applied Research for Growth, Innovation and Sustainable Impact;pp.208-213 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003684657-36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003684657-36</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032963642?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032963642?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 Ravichandran K., Faculty of Management Studies, CMS Business School, JAIN (Deemed-to-be-University), Bangalore, India; Ajitha S., Faculty of Management Studies, M S Ramaiah University of Applied Sciences, Bangalore, India; Punniyamoorthy, School of Business and Management, Christ (Deemed to be University), Bangalore, India Description An account of the resource Equities may also be termed as shareholder's equity that make the holder an owner of corporate equity and empower him to vote in the annual general meeting of the company. Equity, both in its common and preferred form, is used by investors to understand risk and reward patterns in order to identify and minimize losses, and equally, to maximize gains. Relative to the risk-return trade off, this paper seeks to examine the Indian and Nepali banking equities performance. Currently the banking industry holds a large part of the GDP of the two trading partners; in Nepal it accounts for 18% and in India it accounts for 7.7%. Nepal is a very import oriented economy and the most part of this import money is made through remittances while India has diverse industries that constitute its economy. The empirical analysis is based on the five selected commercial banks; three banks from BSE Bankex of India and two banks from NEPSE Banking Sub-Index of Nepal based on market capitalization. Employing the historical data of five years (from April 2017 to March 2022), it can use Mean, Standard Deviation, Correlation, Regression, and ANOVA to make analysis. Analysis reveals that Indian banking equities exhibit better returns than the Nepali equities over the comparable period. Annualized returns help identify benchmark banks including ICICI Bank and NIC Asia Bank. However, there is more risk in Indian equities because they offer the capacity of higher returns. Thus, the Nepali banking equities have lower risk but produce only mediocre returns with several banks even negative returns. Indian banks provide much better investment opportunities and higher returns even though they are more risky. It helps investors determine profitable equities based on thorough risk-return assessments for equities. 2026 selection and editorial matter, Dr. Harold Andrew Patrick and Dr. Ravichandran Krishnamoorthy; individual chapters, the contributors. Subject The topic of the resource and Nepse banking sub-index; Arising from the analysis are risk; BSE bankex; Correlation; Index points; P-value; Returns Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104075308-8; 978-104116441-8; 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 Format The file format, physical medium, or dimensions of the resource online 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 Sampath, Bharath; Selvakumar, J. Joshua; Suganya, G. Title A name given to the resource Celebrity Endorsements in Fashion Purchases 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 Applied Research for Growth, Innovation and Sustainable Impact;pp.150-154 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003684657-26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003684657-26</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032979325?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032979325?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 Sampath B., Faculty of Management Studies, CMS Business School, JAIN (Deemed-to-be-University), Bangalore, India; Selvakumar J.J., Christ University, Bengaluru, India; Suganya G., Kumaraguru College of Liberal Arts and Science, Coimbatore, India Description An account of the resource This study investigates the impact of celebrity endorsements on consumer purchase intentions in the fashion apparel sector, focusing on three key variables: celebrity likeability, which is often aligned to cultural norms, and the celebrity familiarity. Information was obtained from 100 participants across India, and chi-square analysis was applied to the hypotheses. The analysis shows that all of these factors are significantly related to attitudes toward purchasing at a less than 0.05 level of significance. Four factors were determined to have significant impact with celebrity likeability coming out strongly to support the notion that consumers buy endorsed products to emulate the celebrity. Cultural fit adds consistency to trust and identity, and familiarity enhances recall, and confidence on the brands. In view of these observations, marketers ought to look at strategic celebrity selection more intensely. The endorser choice is highly recommended to be selected in accordance with the values and preferences of the target market to have the most influence on the buying decision. This paper reveals the need to adopt targeted and culturally appropriate appeals in influencing purchase behaviour in the Indian fashion domain. 2026 selection and editorial matter, Dr. Harold Andrew Patrick and Dr. Ravichandran Krishnamoorthy; individual chapters, the contributors. Subject The topic of the resource Celebrity endorsement; Cultural alignment; Likeability; Purchase intention; Trustworthiness Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104075308-8; 978-104116441-8; 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 Format The file format, physical medium, or dimensions of the resource online 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 Solanki, Shashank; Verma, Vijeta; Pandey, Vijaishree Dubey Title A name given to the resource Regulating the Speed of Innovation: A Legal and Ethical Framework for 6G Deployment in Smart Societies 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 Landscaping 6G: Unlocking the Power of Ultra-Fast Communication;pp.45-64 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003683599-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003683599-4</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105035040211?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035040211?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 Solanki S., School of Law, CHRIST University, Bengaluru, India; Verma V., School of Law, CHRIST University, Bengaluru, India; Pandey V.D., School of Law, CHRIST University, Bengaluru, India Description An account of the resource The expected use of 6G technologies contains unmatched breakthroughs in hyperconnectivity, real-time holographic communication, and AI-supported immersivity. There is, however, in this technological leap, a complex legal-ethical-regulatory issue scene that must be addressed now, worldwide. This chapter provides a cross-disciplinary argument on a missing legal regime that can best govern 6G-enabled ecosystems and especially referring to the governance of the real-time artificial intelligence, XR/VR applications, the privacy consequences surrounding data, and nanobots and human rights concerns in a 6G future. This chapter can be taken as comparative legal, following which the emerging 6G regulatory principles are explored in the example of the European Union (Digital Services Act, AI Act), United States (AI Bill of Rights, FCC policies), and India (Digital Personal Data Protection Act, 2023). It also closes in foreign legal materials such as the Budapest Conference on Cybercrime and General Comment No. 25 (2021) on the right to privacy in the online world of the UN Human Rights Committee. The e-Governance model of Estonia, with significant use of AI and XR to enhance the functionality of the communication network is analyzed as a case study in this view to show the potential, as well as the challenges such hyper-automation can bring about. This chapter is then contrasted with the situation in China, which currently has a 6G surveillance infrastructure and explains why algorithms, mass surveillance, and illegal profiling are risky without some regulation. Besides, this chapter explores transnational data transfer, cyber sovereignty, and cross-border information law enforcement, which require global uniformity by all nations. It is insisted that the precautionary principle and technology impact assessments (TIAs) must be conducted as prerequisites to widespread 6G implementation in smart cities, smart tourism, and healthcare fields. The chapter ends by proposing an International 6G Governance Charter expressing the need to secure legally binding protection of AI-integrated XR systems, the obligation to be transparent, and enforcement-based rights of users within the ultra-fast communication space. 2026 selection and editorial matter, Upinder Kaur, Aparna Kumari, Hemant Kumar Saini, Surbhi B. Khan, and Mariya Ouaissa; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-100368359-9; 978-104116253-7; 978-104116256-8; 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 Format The file format, physical medium, or dimensions of the resource online