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Navigating parental drug addiction and psychopathology: Impact on children's educational success and well-being
This chapter examines the anthologies of children who have demonstrated resilience in the face of adversity linked to their parents' problems, such as substance abuse and psychopathology. In navigating the complexities of the family unit, personal coping mechanisms and community and peer support arise as critical components. These anecdotes emphasize the capacity for favourable consequences resulting from providing individuals with educational and social support networks. This underscores resilience's profound complexity when confronted with difficulties within the family unit. 2024 by IGI Global. All Rights Reserved. -
Navigating parenting challenges: Supporting adolescents struggling with addiction in achieving educational success and well-being
A comprehensive and collaborative approach involving institutions, mental health professionals, parents, and educators is imperative in addressing adolescent addiction. Stakeholders make valuable contributions to the recovery process by engaging in coordinated treatment, fostering open communication, providing family counselling, addressing educational and emotional needs, and cultivating supportive environments. The collective endeavour promotes resilience, thereby guaranteeing immediate and enduring achievements. The convergence of shared responsibilities, ongoing support, and comprehension of the intricate nature of adolescent addiction generates a formidable catalyst for constructive transformation. The collective endeavour provides families and adolescents with optimism, restoration, and a more promising trajectory. 2024 by IGI Global. All Rights Reserved. -
Navigating personal guarantor liability in insolvency: Transformative and transactional shifts in the legal framework
The liability of personal guarantors under Indias insolvency regime has undergone a significant transformation with the introduction of insolvency provisions under the Insolvency and Bankruptcy Code, 2016 (IBC). This research critically examines the evolving legal framework governing personal guarantors, analysing recent judicial pronouncements and legislative changes that have redefined their rights and obligations in relation to corporate debtors and creditors. The study explores how including personal guarantors in the insolvency process has streamlined creditor recoveries while providing structured financial resolution mechanisms for guarantors. Additionally, the paper assesses the cross-border insolvency framework, comparing India's approach with international insolvency regimes, particularly in the context of harmonisation efforts and global best practices. Through a doctrinal research methodology incorporating statutory analysis, judicial interpretations, and comparative legal studies, the research identifies key challenges, including due process concerns, enforcement inefficiencies, and complexities in cross-border insolvency cases. The findings indicate that while the evolving insolvency framework enhances creditor protection and financial recovery, it raises concerns regarding fairness and procedural safeguards for personal guarantors. The paper advocates for a balanced approach to insolvency laws, calling for targeted reforms to address enforcement gaps and ensure equitable treatment for all stakeholders. By analysing domestic and international perspectives, this study contributes to the discourse on personal guarantor insolvency and offers recommendations to enhance the efficacy and fairness of the resolution process. 2025 Malque Publishing. All rights reserved. -
Navigating Post-Pandemic Mental Health Challenges: Unleashing the Potential of Artificial Intelligence
In the wake of the COVID-19 pandemic, the landscape of healthcare, particularly in the realm of mental health, has undergone unprecedented shiftsThis chapter delves into the pivotal role of artificial intelligence (AI) in shaping post-pandemic mental healthcare deliveryThis chapter comprehensively explores AI-driven solutions, including predictive modeling, sentiment analysis, and virtual assistants; this chapter underscores how AI technologies can revolutionize mental health diagnosis, treatment, digitalized psychometric assessment and support care websites, and automated consultation or recommendation of specific mental issuesAdditionally, it discusses integrating AI-powered tools in remote monitoring, teletherapy, and digital interventions to address the increasing demand for mental health services and bridge existing gaps in accessibility and conversion of digital platforms to provide mental health services and appointments, case records, and easy accessibilityMoreover, ethical considerations, data privacy concerns, and the importance of maintaining human-centric approaches in AI-enabled mental healthcare are examined per the Information Act and Mental Healthcare ActBy shedding light on the transformative potential of AI, this chapter aims to empower healthcare stakeholders to leverage cutting-edge technologies in fostering resilience and recovery in the post-pandemic era. 2025 selection and editorial matter, Philip Eappen and Narasimha Rao Vajjhala; individual chapters, the contributors. -
Navigating Prosperity: A Bibliometric Analysis of Financial Literacy and Sustainable Development Goals
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. -
Navigating Queer Subjectivities: Identity Negotiation and Spatial Constraints Among Sexual Minority Women in Kerala, India
Psychological theories often conceptualise identity as a coherent, interiorised essence, a framing that constrains the fluid and relational experiences of sexual minority individuals. In caste-structured contexts like India, identity emerges from continual negotiation across caste, class, gender and religion rather than interior coherence. Drawing on queer phenomenology and critical intersectionality within an interpretative phenomenological analysis (IPA), this study examines the experiences of sexual minority women in Kerala as they negotiate their identities through sociospatial regulation. Semistructured interviews revealed identity negotiation as a constant interplay of disorientation, reorientation and subversion articulated through three major themes: (a) spatially induced dilemma, which includes dilemmas about self-expression, dissonance in corporeal schema and out-of-sync temporality; (b) navigating spatial constraints, marked by layered and anticipatory shame, religious and ideological tensions, disembodiment shaped by structurally embedded shame materialising as internalised homonegativity, contested queer authenticity and affective negotiations around normativity; (c) embodied everyday acts of subjective subversion, involving flexible reorientations, agentic reworkings of failure and reimagined futures beyond dominant hetero-coherent narratives. By foregrounding nonlinearity and situated subjective subversion, this study critiques essentialist psychological models and emphasises the precarious, situated practices of queer becoming. The Author(s) 2026 -
Navigating real estate purchase decisions: an interplay of influential factors
Purpose: The purpose of this study is to investigate the relationship between social trends, peer influence, personal attitudes regarding real estate purchase decisions, perception of long-term property value and the mediating effect of hedging in influencing property and real estate purchases. Design/methodology/approach: Using a combination of quantitative surveys, this study aims to provide a comprehensive knowledge of the factors influencing real estate buying decisions. Data were obtained from 399 young consumers in four Indian cities. Using structural equation modeling, the suggested conceptual framework is examined. Findings: The studys findings suggest that attitude plays an important role in influencing real estate purchase decisions. Young adults also tend to look for long-term gains or value when purchasing a home. Developing durable products for the customers is the best way to grow business, according to the results. Originality/value: To the best of the authors knowledge, this is the first paper that examines the role of sentimental, personal and financial factors in real estate purchase decisions. The study provides insights into how these factors interact and affect the decisions of consumers in real estate. The authors hope that the findings will be useful for real estate professionals to better tailor their services to meet the needs of their customers. 2024, Emerald Publishing Limited. -
Navigating real estate purchase decisions: an interplay of influential factors
Purpose The purpose of this study is to investigate the relationship between social trends, peer influence, personal attitudes regarding real estate purchase decisions, perception of long-term property value and the mediating effect of hedging in influencing property and real estate purchases. Design/methodology/approach Using a combination of quantitative surveys, this study aims to provide a comprehensive knowledge of the factors influencing real estate buying decisions. Data were obtained from 399 young consumers in four Indian cities. Using structural equation modeling, the suggested conceptual framework is examined. Findings The studys findings suggest that attitude plays an important role in influencing real estate purchase decisions. Young adults also tend to look for long-term gains or value when purchasing a home. Developing durable products for the customers is the best way to grow business, according to the results. Originality/value To the best of the authors knowledge, this is the first paper that examines the role of sentimental, personal and financial factors in real estate purchase decisions. The study provides insights into how these factors interact and affect the decisions of consumers in real estate. The authors hope that the findings will be useful for real estate professionals to better tailor their services to meet the needs of their customers. 2024 Emerald Publishing Limited -
Navigating resource scarcity in a changing climate: AI-powered perspectives on mental health
In the backdrop of the extensive global impact of the COVID-19 pandemic, environmental crises have, to a certain degree, taken a back seat. The pandemic-induced scarcity mindset, emphasizing immediate short-term needs over long-term considerations, has played a role in this shift in priorities. This scarcity mindset, prevalent during the pandemic, poses a risk to pro-environmental behavior and may contribute to environmental degradation, thereby heightening the likelihood of future pandemics. This chapter advocates for a reevaluation of pro-environmental actions, emphasizing their role in addressing various human needs, especially during periods of scarcity. AI-driven chatbots possess the capability to significantly enhance accessibility to affordable and efficient mental health services by complementing the efforts of clinicians. To safeguard pro-environmental behavior, we propose a reconceptualization that positions these actions not merely as value-laden or effortful but as pragmatic measures essential for resource conservation, particularly in times of scarcity. The study explores, the intricate dynamics of resource scarcity, climate change, and mental health, employing AI-powered perspectives to navigate this complex interplay. 2024, IGI Global. All rights reserved. -
Navigating Technological Advancement in the VUCA and BANI World
Navigating technological advancement in todays VUCA (Volatile, Uncertain, Complex, Ambiguous) and BANI (Brittle, Anxious, Nonlinear, Incomprehensible) world presents both opportunities and challenges for organizations and societies. Rapid innovation in fields like AI, automation, and digital connection transform industries, redefine work, and reshape human interaction. These advancements also introduce new aspects of unpredictability, ethical dilemmas, and systemic risks. Leaders must encourage agility, resilience, and foresight, embracing technology as a tool for efficiency and as a catalyst for adaptive and sustainable growth. Navigating Technological Advancement in the VUCA and BANI World explores how rapid technological advancements interact with the risks of the modern world. It examines how organizations and individuals can adapt, innovate, and build resilience to navigate the challenges and opportunities presented by digital and systemic change. This book covers topics such as digital technology, ethics and law, and information security, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and scientists. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Navigating the Autism Journey: Parental Experiences, Barriers and the Role of Early Intervention in India
Parents of children with autism spectrum disorder (ASD) often encounter significant challenges in accessing timely diagnosis and appropriate support services. This study explores the experiences of parents navigating autism-related services in India, focusing on barriers to diagnosis, post-diagnosis support and the role of early intervention. Using a qualitative research design, we conducted focus group discussions with 11 parents of children with ASD and analysed the data using thematic analysis. Sentiment analysis and chi-square statistical testing were also applied to assess parental perspectives across key themes. The findings reveal systemic delays in diagnosis, limited public awareness and inconsistencies in service availability, which contribute to heightened parental stress. Parents expressed difficulties in implementing intervention strategies at home and reported challenges related to accessibility and affordability of professional support. Whereas some parents acknowledged the benefits of available services, many highlighted gaps in tailored, culturally appropriate interventions. Sentiment analysis showed a relatively even distribution of positive, neutral and negative sentiments across themes, indicating the complexity of parental experiences. This study underscores the need for a more structured and inclusive approach to ASD support, including digital tools, peer support networks and early screening programmes. Strengthening policy frameworks and expanding accessible interventions can enhance the effectiveness of autism services and improve outcomes for families. These findings contribute to the growing body of research advocating for parent-inclusive, culturally responsive autism support systems. 2025 International Society for Developmental Neuroscience. -
Navigating the complex terrain of medical big data: A synthesis of data security and legal frameworks
This paper will focus on medical big data, in terms of the detail of legal frameworks of medical big data in terms of the significance of data breach incidents such as the Anthem as well as WannaCry ransomware attacks as key focal points for urgent need in toughen data security compliance with legal and ethical norms. Amongst key regulations, we analyze HIPAA, GDPR along with an impending India regulation Digital Personal Data Protection Act that will hold similar strict non-compliance penalties. Issues such as privacy, informed consent and algorithmic bias in healthcare data-managed are also covered. It helps support the usage of current technologies like blockchain and zero trust architecture to enhance data authenticity and trust. Finally, a harmonized legal, technical and ethical approach is proposed to improve global healthcare systems in view of mitigating security threats and assuring the secure, ethical use of medical big data for the best possible global healthcare outcomes. 2025, IGI Global Scientific Publishing. -
Navigating the Complexities of Indoor Air Quality: Critical Analysis of Key Pollutants and Monitoring Sites
Indoor Air Quality (IAQ) plays a crucial role in human health, as individuals spend a significant portion of their time indoors. Many existing studies overlook the compounded effects of common environmental factors like temperature and humidity, as well as the health risks posed by long-term exposure to indoor pollutants. However, this review tries to explore how modern building materials, and indoor activities impact IAQ, with a focus on key pollutants such as ultrafine particulate matter (PM2.5 and smaller), volatile organic compounds ammonia, formaldehyde, chlorine, and radon. The review emphasizes the need for more research on IAQ, especially in developing regions, heritage settlements, and the need for standardized evaluation approaches. Moreover, there is a need of practical and affordable solutions that integrate advanced sensing technologies, real-time data insights, and easy-to-use systems to enable people to aware and take control of their IAQ. This review highlights the importance of more rigorous research, creative strategies, and strong policy support to address these challenges, particularly for communities in developing regions, crowded spaces, and vulnerable populations. The main motive is to enhance understanding of indoor air pollution and promote the development of healthier, more sustainable indoor environments. The objective is to support SDG-3 Good Health and Well Being, SDG-11 Sustainable Cities and Communities, SDG-13 Climate Action. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Navigating the digital frontier: Trends, innovation, and challenges in industry 5.0
Industry 5.0 is a shift in industrial processes involving robots and AI, enhancing efficiency and customization. International organizations are implementing Industry 5.0, leveraging cognitive virtual minds, AI, additive technologies, and 5G networks. However, Industry 5.0 presents challenges such as job displacement by low adaptability machines and requires substantial investments to transform existing industrial setups. Creative thinking, cybersecurity, and human-machine collaboration are essential for overcoming these challenges. Cyber-Physical system integration, cybersecurity, IoT, AI, and human-machine collaboration are key strategies. Continuous learning, virtual training, and digital twin technology are essential for a skilled workforce. Collaboration is essential for tackling complex digital issues, and organizations must anticipate future trends and prepare for technological breakthroughs. Ethical thinking and responsible AI practices are also crucial. Industry 5.0 is a transformative journey involving advanced technologies into manufacturing processes. 2024, IGI Global. All rights reserved. -
Navigating the digital transformation landscape: Implications for accounting
Digitalization brings significant changes to the world, particularly in industries where information technology is essential. Accounting is one profession that has benefited from digital developments. The goal of this chapter is to synthesize recent academic studies on accounting digitalization and provide some suggestions for future research. Because of the short- and long-term effects of environmental factors on both the corporate and financial sectors, it is clear that business leaders and investors must measure and manage environmental risks to address the impact on business and society. This chapter aims to contribute to these critical discussions by providing new insights of digitalization, tax avoidance, reporting, accounting, and green finance. 2024, IGI Global. All rights reserved. -
Navigating the doctoral programme: A journey metaphor in heutagogical context
The journey towards a doctoral degree, the highest academic degree, is challenging. It is a journey full of emotions and experiences that provides a feeling of achievement and fulfilment. The doctoral research process is sometimes overwhelming, and scholars are lost in the wilderness of the activities. Navigating a social science doctoral programme, including the business and management streams, requires understanding the pathways and the nuances. This paper presents metaphors of the doctoral journey that helps scholars in developing a better mindset and plan an enriching journey. The methodology used is a qualitative-conceptual metaphor analysis. The study considers the heutagogical framework and develops analogies from the travel and tour domain and applies it to the doctoral programme. The paper compares self-guided tours, Driver Vs Passenger, Roller coaster, pilgrimage model and self-experience that the scholars need to take up in their doctoral journey 2024, IGI Global. All rights reserved. -
Navigating the dynamic interplay of fear of failure and social cognition in the digital era
This chapter delves into the intricate relationship between fear of failure and our ability to perceive, interpret, and respond to social cues (i.e., social cognition). This chapter will examine the theoretical foundations of fear of failure and how it manifests across cognitive, emotional, behavioral, and social dimensions. Drawing from empirical research, it will provide real-world insights into how this fear can profoundly affect social interactions. The chapter highlights interventions, such as CBT and mindfulness practices, designed to address the fear of failure and enhance social cognition. It will further explore the dynamic interplay between fear of failure, social cognition, and the evolving landscape of online interventions. As the digital realm shapes our social interactions, understanding how fear of failure influences social cognition in the online context and how online interventions can mitigate its impact is of paramount importance. This chapter seeks to present a thorough summary of these interconnected variables. 2024, IGI Global. -
Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model
Teenage suicidal ideation is on the rise, which emphasizes how crucial it is to recognize and comprehend the variables that contribute to this problem. Convolutional neural networks (CNNs), which are complex machine learning models capable of analysing intricate relationships within a network, are one possible strategy for addressing this issue. In our study, we employed a CNN-LSTM hybrid model to explore the complex relationships between teen suicide ideation and various risk variables, including depression, anxiety, and social support by analysing a substantial dataset of mental health surveys, seeking patterns and risk factors associated with suicidal thoughts. Our objective was clear: identify adolescents prone to suicidal ideation. With 24 parameters and a sample size of 3075 subjects, our model achieved an impressive F1-score of 97.8%. These findings provide valuable insights which helps in developing effective preventive interventions to address adolescent suicidal ideation, finding out the important patterns and risk variables related to suicidal thoughts. The study results offer important direction for developing preventive interventions that successfully address adolescent suicidal ideation. 2024 - IOS Press. All rights reserved. -
Navigating the ethical landscape of artificial intelligence: Challenges, frameworks, and responsible deployment
In artificial intelligence (AI), machine learning (ML) has become a game-changing concept that allows systems to learn from experience and get better without explicit programming. This chapter explores the main ideas, techniques, and applications of ML, offering a succinct introduction to the field. The first step in the process is to gain a basic understanding of supervised learning, which is the process by which algorithms learn to make predictions or judgements from labelled training data. Next, we introduce unsupervised learning, which emphasizes finding patterns in unlabelled data and frequently results in interesting findings and clustering. To emphasize the importance of reinforcement learning in decision-making processes, the paradigm is presented where agents learn by interacting with an environment and receiving feedback. Ideas related to ML, such as feature engineering, model assessment, and the balance between variance and bias, are discussed. The significance of quality data in ML applications is emphasized, along with the impact of data pretreatment on model performance. It also clarifies how neural networks, a branch of ML, simulate the workings of the human brain. The ability of deep learning, a branch of ML that makes use of multi-layered neural networks, to handle challenging tasks such as speech and picture recognition is being investigated. In order to emphasize the necessity of responsible ML model deployment and usage, practical factors are emphasized, including the significance of ethical considerations and responsible AI. The final section of the chapter offers a preview of MLs future, discussing issues and trends that practitioners and researchers should be aware of. This chapter essentially functions as a thorough introduction to ML principles, providing an overview of the wide range of ML approaches, applications, and ethical issues that support the technologys transformative potential across a range of industries. 2025 selection and editorial matter, G. Sucharitha, Anjanna Matta, M. Srinivas and Sachi Nandan Mohanty; individual chapters, the contributors. -
Navigating the ethical landscape of artificial intelligence: Challenges, frameworks, and responsible deployment
In artificial intelligence (AI), machine learning (ML) has become a game-changing concept that allows systems to learn from experience and get better without explicit programming. This chapter explores the main ideas, techniques, and applications of ML, offering a succinct introduction to the field. The first step in the process is to gain a basic understanding of supervised learning, which is the process by which algorithms learn to make predictions or judgements from labelled training data. Next, we introduce unsupervised learning, which emphasizes finding patterns in unlabelled data and frequently results in interesting findings and clustering. To emphasize the importance of reinforcement learning in decision-making processes, the paradigm is presented where agents learn by interacting with an environment and receiving feedback. Ideas related to ML, such as feature engineering, model assessment, and the balance between variance and bias, are discussed. The significance of quality data in ML applications is emphasized, along with the impact of data pretreatment on model performance. It also clarifies how neural networks, a branch of ML, simulate the workings of the human brain. The ability of deep learning, a branch of ML that makes use of multi-layered neural networks, to handle challenging tasks such as speech and picture recognition is being investigated. In order to emphasize the necessity of responsible ML model deployment and usage, practical factors are emphasized, including the significance of ethical considerations and responsible AI. The final section of the chapter offers a preview of MLs future, discussing issues and trends that practitioners and researchers should be aware of. This chapter essentially functions as a thorough introduction to ML principles, providing an overview of the wide range of ML approaches, applications, and ethical issues that support the technologys transformative potential across a range of industries. 2025 selection and editorial matter, G. Sucharitha, Anjanna Matta, M. Srinivas and Sachi Nandan Mohanty; individual chapters, the contributors.