Browse Items (16488 total)
Sort by:
-
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. -
Navigating the Ethico-Legal Landscape of Blockchain in Healthcare: A Critical Analysis
Blockchain technology offers improved data security, interoperability, and patient empowerment, which could revolutionize the healthcare industry. Its incorporation, however, calls for thorough evaluation of the complicated legal and ethical issues. The global pandemic has exposed the current healthcare system's lack of interoperability and the requirement for reliable clinical data that can be efficiently and securely disseminated to healthcare providers on a large scale. This analysis explores important issues such as algorithmic bias, informed consent, data privacy and ownership, and legal barriers. It looks at current regulatory frameworks and new best practices for using blockchain responsibly in the healthcare industry, highlighting the necessity of stakeholder collaboration to guarantee safe, reliable, and equitable healthcare systems. In light of the above perspective, this chapter explores the ethical and legal implications of blockchain in the healthcare sector. It critically overviews the current laws and regulations in force to implement blockchain in healthcare. 2026, IGI Global Scientific Publishing. All rights reserved. -
Navigating the filter bubble: A pill for hyperpersonalization
AI-driven personalization has transformed the digital landscape shaping consumer behavior, active engagement and influencing purchase intention. However, the extensive use of these strategies have led to a filter bubble-a state of intellectual isolation due to hyper-personalisation. Users are confined to information that reinforces their existing beliefs, limiting awareness of alternative products and leading to advertising fatigue. The chapter delves into extensive literature on filter bubble phenomenon to draw parallel implications from political marketing to consumer marketing. It discusses strategies to mitigate the impact of hyper-personalisation. These strategies focus on platform-specific dynamics, audience fragmentation v/s duplication, and leveraging automated serendipity and ideological polarisation to foster diversity and consumer engagement. The chapter articulates the strategic role of social media in offering personalised marketing to consumers. 2025, IGI Global Scientific Publishing. -
Navigating the Future of Intelligent and Smart Manufacturing A Comprehensive Bibliometric Analysis (2012-2024)
Intelligent and smart manufacturing is at the forefront of a digital revolution in the manufacturing industry. This chapter reveals how key technologies have developed and converged during the period 2012-2024 by analysing 1046 articles from the Web of Science database. Literature was compiled into ten distinct clusters: Convolutional Neural Networks (CNN), Technologies, Internet of Things (IoT), Services (Applications), Gateway, Industry 4.0, Heuristic, Cutting Force, Remote Maintenance, and Fabrication. Each cluster is measured by its degree, modularity, density, citation analysis metrics and help in predicting the impact and about their interrelations in research within these domains. Further, the major focus is on Industry 4.0 principles and the evolving research landscape that promptly helps in findings and the rapid adoption of advanced computational methods. With this analysis, the most influential authors, articles, and journals will provide insight for building collaborative networks and intelligent manufacturings intellectual structure. This study nonetheless delivers an overview of previously published research; in addition, it also illustrates trends and openings that provide a significant underpinning to support subsequent academic endeavours and their application in practice. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. -
Navigating the Green Frontier: Unveiling Investor Strategies in Green Bond Market vs. Traditional Markets
Green bonds have emerged as a key instrument in sustainable finance, but their risk-return profile remains poorly understood. This study examines the risk-return profile of green bonds compared to traditional markets over a midterm investment horizon. Daily closing prices of five indices (S&P Green Bond Index, S&P 500 Index, S&P GSCI Gold Index, S&P Global Clean Energy Index, and S&P 500 Carbon Efficient Index) from August 2021 to August 2024 were analysed using descriptive statistics and GARCH (1, 1) models. Green bonds exhibit higher volatility persistence and leverage effects compared to traditional markets. There is a significant positive correlation between the S&P Green Bond Index and the S&P Global Clean Energy Index. The S&P GSCI Gold Index exhibits low volatility and no significant leverage effects. Investors should consider the unique risk-return profile of green bonds when constructing portfolios. Portfolio managers should employ sector-specific risk management strategies. Policymakers should consider the potential benefits of green bonds in promoting sustainable finance and mitigating climate risk. This study contributes to the growing body of research on green finance and sustainable investing, providing valuable insights into the midterm risk-return dynamics of green bonds. 2025, Bentham Books imprint. -
Navigating the healthtech ecosystem: Challenges and roadblocks
Driven by recent technological advancements like Artificial Intelligence, blockchain, and digital twins, the healthcare sector is revolutionizing at a fast pace. HealthTech has numerous applications such as robotic surgery, virtual assistants, telemedicine and fitness tracking devices. But this data-driven innovation in healthcare sector is severely hampered by government barriers, privacy and security issues. The potential for comprehensive patient care is limited by interoperability problems across different healthcare systems, which impede smooth data interchange. Additionally, access to HealthTech solutions is limited by the digital divide. Many healthcare providers face issues with high developmental challenges, implementation costs, and required infrastructure investments. Considering the above perspective, this chapter examines the challenges and roadblocks in the HealthTech ecosystem. To address these issues and promote a strong HealthTech ecosystem, the authors critically analyze the role of healthcare providers, tech firms, and patients in view of an all-inclusive approach. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Navigating the intersection of global climate change and mental health
The ecological equilibrium of the globe is under grave danger from the unprecedented global climate change problem, which has far-reaching consequences for both human society and the natural world. The complex relationship between climate change and mental health is discussed in this abstract, along with its direct and indirect effects, the ways in which different groups are vulnerable, strategies for coping, policy implications, and potential directions for further study. Direct trauma and post-traumatic stress disorders are direct outcomes of immediate effects, such as severe weather occurrences and the evacuation of entire communities. At the same time, widespread eco-anxiety is overwhelming people's minds and leading to persistent uneasiness. This abstract dives into the mental toll, looking at how indigenous people, youth, and children experience cultural displacement and forced migration, as well as the grieving over biodiversity loss. A wide range of responses, from mindfulness practices on an individual level to community-based resilience programs, are emerging in response to the climate crisis. The abstract highlights the importance of education in fostering understanding and resilience, particularly among younger generations. It stresses the importance of international cooperation and calls for the inclusion of mental health concerns in climate change strategies 2024, IGI Global. All rights reserved. -
Navigating the Labyrinth: Trauma and Memory in Donna Tartts The Goldfinch and Nathan Hills The Nix
This paper delves into the intricate interplay between trauma and memory in 21st-century American fiction, with a specific focus on Donna Tartts The Goldfinch (2013) and Nathan Hills The Nix (2016). Through a comparative analysis of these novels, the study explores how characters navigate the labyrinthine complexities of trauma and its impact on memory, identity, and narrative construction. Grounded in the theoretical framework of Dan P McAdams Narrative Identity Theory, the study employs a rigorous interdisciplinary approach, synthesizing textual analysis with theoretical inquiry to illuminate the nuanced dynamics at play within the selected texts. The paper examines how trauma disrupts and reshapes memory, leading to fragmented recollections, haunting flashbacks, and the blurring of past and present. Additionally, it investigates how memory serves as a tool for both coping with and perpetuating trauma, shaping characters perceptions of themselves and the world around them. 2025 IUP. All Rights Reserved. -
Navigating the landscape of green marketing trends and identifying greenwashing red flags
Through this chapter, the authors intend to provide information to the fashion and retail industry about the latest trends and their drawbacks, further increasing the awareness of environmentally conscious consumers. The objective of the study is first to examine the prevalent green marketing strategies adopted by fashion and retail businesses. Further, it also evaluates the actual reality and effectiveness behind the strategies used by brands to understand if they are creating an illusion of sustainability or are genuinely committed through case studies of various retail brands. Lastly it investigates consumer attitudes and perceptions of green marketing in fashion and retail. This research employs an approach to explore driving factors for green marketing in the fashion and retail industry. Utilizing secondary data, a comprehensive review of existing literature on sustainable practices, consumer behaviour, and industry trends was done. 2024, IGI Global. All rights reserved. -
Navigating the landscape of inclusive education: Bridging the policy-practice divide
This chapter examines the complex interplay between policy and practice in inclusive education. With an emphasis on educational equity, this study explores the significance of collaboration among stakeholders, sufficient preparation of teachers, and the evaluation of inclusivity. The chapter offers a comprehensive perspective on implementing inclusive education by discussing prevalent obstacles, approaches to surmounting these barriers, and the distinct requirements of exceptional students. By forecasting forthcoming trends and providing policymakers and educators with recommendations, it envisions a future in which collaborative endeavours and data-driven decision-making drive the advancement of educational environments that are more inclusive, equitable, and responsive. 2024, IGI Global. All rights reserved. -
Navigating the Metaverse: TCCM Approach for Comprehensive Review of Avatar Marketing Strategies
Despite the growing importance of avatars in reshaping consumer interactions, there remains a discernible gap in the literature necessitating a comprehensive synthesis of existing knowledge. In response, this study conducts a systematic-literature-review employing the Theory-Context-Characteristics-Methodology (TCCM) framework. Study aims to delineate the current state of the field by addressing key research foci and conducting a meticulous TCCM analysis. Drawing from the TCCM-framework, our investigation encompasses an exploration of (1) dominant theories guiding research endeavours, (2) contexts within which avatar marketing is situated, (3) key characteristics characterizing the studies, (4) diverse study methodologies employed, and (5) the overall trajectory of research in this domain. Study unfolds a panoramic view of avatar marketing in the metaverse, synthesizing existing knowledge, and illuminating the key dimensions that shape this dynamic field. Insights gained from systematic-literature-review contribute to a deeper understanding of the theories, contexts, characteristics, and methodologies that have underpinned research endeavours thus far. 2013 The Korean Society of Management Information Systems. All rights reserved. -
Navigating the need for accessible labelling through the narratives of consumers with visual impairment in India
This study aims to understand the strategies consumers with visual impairment (CWV) use in acquiring product information and explores preferences for accessible labelling and its benefits. This study employed the qualitative approach of thematic analysis. A snowball sampling technique was used to recruit participants. Data were collected from CWV through semi-structured interviews. The sample size of this study was 12. The data were analysed using NVivo software. The study revealed three strategies used by CWV to obtain product information, namely reliance on caregivers, staff, and technology. However, all the strategies employed have multiple drawbacks. The study reported a high preference for accessible labelling in braille and quick response (QR) codes. Implementing a combination of braille labels and QR codes on product packages was the most beneficial strategy for CWV. The Implementation of accessible labels ensures inclusion in the marketplace. The Author(s) 2024. -
Navigating the need for accessible labelling through the narratives of consumers with visual impairment in India
This study aims to understand the strategies consumers with visual impairment (CWV) use in acquiring product information and explores preferences for accessible labelling and its benefits. This study employed the qualitative approach of thematic analysis. A snowball sampling technique was used to recruit participants. Data were collected from CWV through semi-structured interviews. The sample size of this study was 12. The data were analysed using NVivo software. The study revealed three strategies used by CWV to obtain product information, namely reliance on caregivers, staff, and technology. However, all the strategies employed have multiple drawbacks. The study reported a high preference for accessible labelling in braille and quick response (QR) codes. Implementing a combination of braille labels and QR codes on product packages was the most beneficial strategy for CWV. The Implementation of accessible labels ensures inclusion in the marketplace. The Author(s) 2024 -
Navigating the Nexus: An Integrated Framework for Energy- Water- Food Security in the MENA Region
The Middle East and North Africa (MENA) region confronts a severe and escalating challenge to its resource security, rooted in the complex interdependencies of the Energy- Water- Food (EWF) nexus. This paper presents a comprehensive analysis of the long- term impacts of alternative policy pathways on EWF security and associated socio- economic outcomes. Utilizing a specifically designed Input- Output (IO) modelling framework incorporating flexible production functions and price- induced factor substitution, this study projects outcomes to the year 2050 for ten key MENA countries under five distinct scenarios: a Business- as- Usual (BAU) trajectory, three sector- specific scenarios focused on Energy (ESC), Water (WSC), and Food (FSC), and an integrated EWF Nexus- oriented Scenario (NSC). The analysis reveals that the BAU path, which extrapolates current policies and consumption patterns, leads to a precipitous decline in water and food security, rendering current development models fundamentally unsustainable. 2026 by IGI Global Scientific Publishing. All rights reserved.