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Bibliographic Analysis of Soft Computing Components from 1999 2018 in India
The core component of the Soft Computing (SC) domain gives outstanding performances for solving problems compared to other problems solving techniques. In order to solve difficult problems, the majority of researchers are concentrating on the soft computing field. The sub-domains of the soft computing field include Genetic Algorithms, Fuzzy Logic, Machine Learning, Neural Networks, and others. In this paper, we aimed to investigate the contributions made by Indian organizations and authors on the topic of soft computing and its applications for the years 1999 to 2018 for the Scopus database. The study confirmed that the most number of papers published in the neural network with a count of 2127 and the most productive author was M.ChintamaniDeo, with 22 papers with the highest h-index and the Indian Institute of Technology, The most productive institution in the subject of Soft Computing is Roorkee, which has contributed 109 publications overall, garnered 355 citations, and has an h-index of 9. This led us to the conclusion that, in comparison to other sub-domains in the field of Soft Computing and its Applications, Indian Institutions and Indian Authors have produced the majority of publications in Neural Networks and Artificial Intelligence. 2024, Ismail Saritas. All rights reserved. -
Combating Evolving Threats: A Systematic Review of Online Ad Fraud Detection
This systematic review investigates online ad fraud detection and brand safety research from 2011 to 2024. The analysis reveals a continuous battle against click fraud and its evolving forms. Machine learning has become a cornerstone of detection efforts, offering superior capabilities compared to traditional methods. The rise of mobile advertising necessitated the development of specialized solutions to address distinct user behavior and data patterns on this platform. However, research highlights an expanding threat landscape beyond click fraud, encompassing impression fraud and placement fraud. Brand safety concerns have also gained prominence, emphasizing the importance of protecting brand reputation. The review underscores the need 2025 by IGI Global Scientific Publishing. All rights reserved. -
A case study on challenges, opportunities and sustainable development of waste management in India
Waste management solutions for a country as large and densely populated as India with several infrastructure bottlenecks required a thorough understanding of the local context, waste generation patterns, and available infrastructure. Waste Ventures India invested in research and development to develop innovative waste management solutions to address challenges faced in India. By collecting and analysing data on waste generation patterns and available infrastructure, the company was able to design waste management systems that were tailored to Indian system. This case study highlights the importance of using evidence to inform policies and practices in waste management. Companies and governments can use data to design waste management systems that are effective, sustainable, and tailored to the needs of specific communities. This case guides analysis on how to ensure value for the stakeholders; how to identify benefits on a global and local front; and was the business scalable to ensure sustained impact. Copyright 2025 Inderscience Enterprises Ltd. -
A Systematic Review of Mental Health and Productivity Challenges and Navigating Turbulence in Academia
This study examines academic mental health and productivity through a systematic and thematic literature review of research published from 2019 to 2025, with a focus on the impact of COVID-19. Searches in Scopus, Ebsco, ProQuest, Science Direct, and Google Scholar identified key challenges, including stress, burnout, and work-life imbalances, which were exacerbated by the pandemic. Systemic barriers such as inadequate funding, fragmented support, and rigid institutional policies further disrupted academic productivity. Vulnerable groups, including academic mothers, doctoral candidates, minority students, and early career researchers, faced disproportionate burdens. Additionally, academic writing productivity declined, and excessive media use negatively impacted attention spans and mental health. While interventions such as peer support systems, flexible work policies, and co-designed mental health initiatives have been proposed, existing approaches remain fragmented and insufficient for long-term solutions and targeted interventions to improve academic mental health and productivity. 2026 by IGI Global Scientific Publishing. All rights reserved. -
A Systematic Literature Review Unveiling the Societal Impact of 5G/6G Technologies on Bridging the Digital Divide and Enabling Social Transformation
This study examines the multifaceted societal impact of 5G and 6G mobile communication technologies. Employing a systematic literature review (SLR) of recent scholarly literature (2022-2024), A comprehensive search strategy was implemented across reputable academic databases (Scopus, Web of Science, IEEE Xplore) to identify relevant publications. Selected articles underwent rigorous critical appraisal and thematic analysis to synthesize key findings and recurring themes. The review reveals the potential of 5G/6G to bridge the digital divide, particularly in underserved regions, through strategic infrastructure development. Social transformation can be achieved by fostering equitable access to communication services and deploying transformative applications in critical sectors like agriculture and healthcare. However, challenges persist regarding infrastructure limitations, equitable access, and sustainable development. Effective policy frameworks and robust managerial strategies for responsible deployment are crucial to maximize the positive impact of 5G/6G technologies. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Navigating the Strategic Labyrinth: Bridging Gaps in Theory, Implementation, and Adaptation
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. -
Ghost Kitchens Transforming the Culinary Landscape and Shaping the Future of Food Delivery
It presents an important shift in the food service industry, most of which was accelerated during the COVID-19 pandemic: ghost kitchens, or virtual or cloud kitchens. This research discusses the operational mechanisms, workforce consequences, and consumer attitudes toward ghost kitchens, which operate strictly for delivery purposes without having a traditional dining area, as well as the literature used between the years 2007 to 2024. The labor standards and compliance, as most ghost kitchens are built upon gig economy workers who toil in challenging circumstances. Additionally, the study examines consumer perception of this new phenomenon of dining and its potential for transforming culinary careers. Its findings indicate that while ghost kitchens open avenues for creativity in culinary arts and expansion of the marketplace, it simultaneously necessitates a readjustment in labor norms and consumer awareness. Given the anticipated high growth rate for the ghost kitchen market in the next years, it is significant that food service sector stakeholders grasp these dynamics. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Perform, Achieve, Trade (PAT) Under Indias NAPCC: A Case Study on Industrial Energy Efficiency and Carbon Markets
This case study examines the Perform, Achieve, and Trade (PAT) scheme under Indias National Action Plan on Climate Change (NAPCC), a market- based initiative aimed at reducing industrial carbon emissions. PAT sets energy- efficiency targets for energy- intensive sectors and rewarding units that surpass their mandated goals. Through policy analysis and secondary data review across designated consumer industries, the study assesses scheme operations, compliance, and credit market performance. The notable improvements in energy efficiency, greater adoption of low- carbon technologies, and the formation of Indias early energy- credit market. However, issues such as uneven sector engagement, limited trading volumes, and institutional capacity constraints reveal challenges in implementing such mechanisms in emerging economic contexts. Overall, the case spotlights how regulatory mandates combined with trading incentives can deliver measurable climate benefits while underlining the need for stronger market design and governance to drive long- term industrial decarbonization. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Beyond binge-watching: How Netflix can adapt its digital marketing strategy for long-term success
In an increasingly competitive streaming landscape, Netflix faces the imperative to adapt its digital marketing strategy for long- term success beyond binge- watching. Challenges include fragmented audience attention, differentiation amidst competition, optimizing marketing ROI, and evolving consumer behavior. To thrive, Netflix must invest in original content, harness data- driven insights, cultivate strategic partnerships, and adapt to changing consumer preferences. By prioritizing subscriber engagement and retention, balancing acquisition efforts, and leveraging emerging technologies, Netflix can maintain its market leadership position and sustain growth. This case study explores key challenges and strategies for Netflix's digital marketing evolution, providing insights for marketing professionals and industry observers navigating the dynamic streaming landscape. 2025, IGI Global Scientific Publishing. All rights reserved. -
Tech, Trends, and Tactics: A Global Review of AML Frameworks Using PRISMA Methodology
This chapter presents a systematic review of contemporary trends and strategies in AML through the PRISMA framework. The study identifies emerging threats, evolving typologies, and technological innovations reshaping AML practices in the digital era. The review emphasizes the growing significance of regulatory technology (RegTech), AI, and public-private information-sharing platforms in enhancing detection, reporting, and compliance. Findings suggest a shift from traditional rule-based approaches toward adaptive, data-driven frameworks, although implementation gaps persist across jurisdictions. A critical insight emerging from the analysis is the imbalance between technological advancement and regulatory harmonization, particularly in developing economies. The chapter offers policymakers, scholars, and financial institutions 1) a consolidated foundation to better understand and address the multifaceted challenges of money laundering in a rapidly digitizing global economy and 2) a proposed roadmap for future AML initiatives to align institutional accountability. 2026, IGI Global Scientific Publishing. -
AI-Driven Pedagogies and Learning Environments in Modern Education: A PRISMA-Based Systematic Review
This study examines the role of AI in education, focusing on its impact on teaching effectiveness, student engagement, and institutional adoption. A systematic literature review was conducted, analysed 97 peer-reviewed articles published between 2024 and 2025. The Preferred Reporting Items for Systematic Reviews (PRISMA) framework was employed to ensure the rigorous selection and analysis of relevant studies. The findings indicate that AI enhances learning experiences by enabling adaptive learning environments, automating administrative tasks, and improving assessment accuracy. However, challenges such as algorithmic biases, data privacy concerns, lack of AI literacy among educators, and unequal access to AI tools pose significant barriers. Literature emphasised the need for structured AI training programs for teachers, while ethical considerations in AI-driven assessments. The study recommends the development of AI literacy programs for educators, policy frameworks to ensure ethical AI implementation, and improved digital infrastructure to bridge the accessibility gap. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Digital innovations and implementation challenges in oil and gas industry: Harnessing technology
This study provides an in-depth analysis of the digital transformation in the oil and gas industry, focusing on recent advancements, challenges, and implications. the research explores the impact of artificial intelligence (AI), big data analytics, automation, and digital integration on operational efficiency, safety, and decision-making. Despite significant technological advancements, the study identifies critical challenges including difficulties in integrating disparate systems, addressing human factors and training needs, and ensuring data security. High implementation costs and evolving regulatory requirements further complicate widespread adoption. The study highlights the need for cohesive frameworks to manage these challenges and maximize the benefits of digital technologies. By synthesizing current literature and identifying gaps, the research offers actionable insights for enhancing digital transformation strategies and fostering sustainable growth within the industry. 2025, IGI Global Scientific Publishing. All rights reserved. -
Tapestry of Promise and Peril: NLP, AI, and IoMT in Healthcare Transformation - A Review
This chapter investigates the intersection of NLP, AI, and IoMT in healthcare, as the former two will unlock the medical jargon to create accessible communication, while the latter enables real-time monitoring and decentralized clinical trials, thus providing predictive insights into personalized care plans. A systematic literature search was carried out using keywords in important academic databases that include PubMed, Scopus, and Google Scholar from 2022 to 2024. Shadows lurk amidst this optimism. Security and privacy concerns pertaining to IoMT data loom large. Decentralized trials are clouded by ethical concerns and regulatory hurdles. The specter of inequality threatens to increase the digital divide. To bridge this gap, a multipronged approach is crucial. Secure, privacy-preserving NLP and AI algorithms are the foundation. Robust IoMT infrastructure with blockchain-based security and interoperability standards is the framework. Clear, ethical frameworks for decentralized trials are the guiding threads. Ultimately, inclusivity is key. Bridging the digital divide and empowering patients and healthcare workers alike will ensure this future benefits all. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors. -
The role of social media in empowering digital financial literacy
This systematic review examined the role of social media in enhancing financial literacy among individuals by collecting and reviewing 60 articles published from 2021 to 2023. The findings revealed that social media has a positive impact on financial literacy through the dissemination of financial education, promotion of financial awareness, and sharing of financial experiences. The review also identified digital financial literacy, entrepreneurial learning, and financial knowledge as significant determinants of financial literacy, while demographic characteristics, social media usage behavior, risk attitude, and overconfidence played a role in determining financial literacy. The study recommends that financial institutions, policymakers, and educators leverage social media for promoting financial literacy, and social media usage skills to improve financial literacy among individuals. Overall, the study suggests that the use of social media can democratize financial literacy and enable individuals from diverse backgrounds to access financial education and information. Copyright 2023, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. 2023 by IGI Global. All rights reserved. -
Social media and economics education: Addressing challenges and leveraging tools for K-12 educators
This case study focuses on the challenges and opportunities associated with integrating social media into the K-12 economics curriculum. Ms. Smith, a high school economics teacher, faced a number of challenges when implementing social media into her teaching practices, including issues related to student engagement, cyberbullying, and privacy concerns. However, she also recognized the potential benefits of using social media in the classroom, including increased student engagement, improved collaboration and communication, and enhanced access to information and resources. To address these challenges, Ms. Smith implemented a number ofremedies and measurements, including providing professional development for teachers, establishing clear guidelines for social media use, providing technical support, encouraging parent involvement, and regularly assessing the impact of social media on student learning. Through her approach, Ms. Smith was able to effectively integrate social media into her economics curriculum and enhance student learning and engagement. 2024, IGI Global. All rights reserved. -
Does gamification affect customer brand engagement and brand value co-creation?
The study examines the relationship between gamification and customer brand engagement, focusing on its impact on brand value co-creation. It analyzes various studies published between 2013 and 2023, revealing that gamification positively influences brand engagement by fostering active participation, emotional connections, and increased motivation. It also facilitates brand value co-creation by encouraging consumers to actively contribute to brand development, innovation, and advocacy. Design considerations like game mechanics, aesthetics, and personalized experiences are crucial for maximizing gamification's impact on customer engagement and brand value co-creation. The review identifies potential moderating factors, such as consumer characteristics, cultural differences, and industry-specific dynamics, which may influence the effectiveness of gamification strategies. 2023, IGI Global. All rights reserved. -
Dynamic strategies and evolutionary trajectories: A comprehensive review of experiential marketing in the soft drink industry
This comprehensive review explores the evolution of experiential marketing in the soft drink industry from 2005 to 2024. It uses analysis from a diverse set of 62 scholarly articles, Google books, Google Scholar, SSRN, Fig share, and various publishers such as Taylor & Francis, IGI Global, and Springer. The study traces the industry's trajectory from traditional marketing approaches to a digital-centric paradigm. The research captures pivotal moments in the development of experiential marketing strategies, emphasizing the integration of technology, sustainability, and community engagement. Key findings highlight the industry's adaptability to changing consumer preferences, the strategic use of data-driven insights, and the importance of inclusivity in crafting compelling brand narratives. The study identifies overarching trends, challenges, and opportunities that shaped the experiential marketing landscape in the soft drink industry over the past two decades. 2024, IGI Global. All rights reserved. -
Prediction and analysis of financial crises using machine learning
This study presents a comparative analysis of various machine learning algorithms for credit risk assessment. The algorithms were tested on two credit datasets: German Credit Dataset and Australian Credit Dataset. The performance of the algorithms was evaluated based on several metrics, including sensitivity, specificity, accuracy, F-score, and Kappa. The results showed that the FCPFS-QDNN algorithm outperformed other algorithms in both datasets, achieving high accuracy, sensitivity, specificity, and F-score. On the other hand, the ACO Algorithm and Multilayer Perceptron algorithms were found to perform poorly in both datasets. The findings of this study have significant implications for credit risk assessment in banking and financial institutions. The study recommends the use of the FCPFS-QDNN algorithm for credit risk assessment due to its superior performance compared to other algorithms. 2023, IGI Global. All rights reserved. -
Predicting cryptocurrency prices model using a stacked sparse autoencoder and Bayesian optimization
In recent years, digital currencies, also known as cybercash, digital money, and electronic money, have gained significant attention from researchers and investors alike. Cryptocurrency has emerged as a result of advancements in financial technology and has presented a unique opening for research in the field. However, predicting the prices of cryptocurrencies is a challenging task due to their dynamic and volatile nature. This study aims to address this challenge by introducing a new prediction model called Bayesian optimization with stacked sparse autoencoder-based cryptocurrency price prediction (BOSSAE-CPP). The main objective of this model is to effectively predict the prices of cryptocurrencies. To achieve this goal, the BOSSAE-CPP model employs a stacked sparse autoencoder (SSAE) for the prediction process and resulting in improved predictive outcomes. The results were compared to other models, and it was found that the BOSSAE-CPP model performed significantly better. 2023, IGI Global. -
Mapping the AI landscape in healthcare quality: A bibliometrics analysis
This study explores the application of Artificial Intelligence (AI) in healthcare quality improvement through a bibliometric analysis of 222 documents retrieved from the Scopus database using the keywords "healthcare," "quality," and "AI." By examining bibliographic coupling, citations, co-citations, author keywords, and co-occurrence networks, the research unveils the key themes, prominent authors, and emerging trends in this field. The analysis reveals a focus on areas like machine learning for disease prediction, clinical decision support systems, and patient safety improvement. Leading authors and research groups are identified, and promising future directions such as explainable AI and integration with electronic health records are highlighted. This study contributes to understanding the current landscape of AI in healthcare quality improvement and guiding future research for maximizing its impact. 2024, IGI Global. All rights reserved.