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Unpacking power dynamics in coaching and leadership: A critical examination
This study examined the critical viewpoints regarding the convergences of coaching and leadership, elucidating the intricate complexities of power relations. Incorporated case studies from the business and nonprofit sectors shed light on the difficulties and achievements in these realms of transformation. The integration of insights gained underscores the profound impact of consciousness, openness, and moral behaviour on change. The obligation to exercise authority with discernment, promote inclusiveness, and empower entities and individuals alike. This study offers significant contributions for professionals, academics, and executives traversing the complex landscape of coaching and leadership. 2024, IGI Global. All rights reserved. -
The position of digital society, healthcare 5.0, and consumer 5.0 in the era of industry 5.0
This chapter explores the dynamic interplay and positioning of Digital Society, Healthcare 5.0, and Consumer 5.0 within the overarching framework of Industry 5.0. The advent of Industry 5.0 marks a significant shift in industrial paradigms, emphasizing the fusion of digital technologies with traditional manufacturing processes. In this context, digital society emerges as a fundamental driver, influencing both industrial and consumer landscapes. Digital Society, characterized by ubiquitous connectivity and information sharing, acts as a catalyst for Industry 5.0. The integration of advanced technologies, such as the internet of things (IoT) and artificial intelligence (AI), facilitates seamless communication and collaboration across industries, fostering innovation and agility in manufacturing processes. Healthcare 5.0, an integral component of this transformative landscape, leverages digital advancements to redefine healthcare delivery. The convergence of AI, big data analytics, and personalized medicine leads to a paradigm shift in patient-centric care. 2024, IGI Global. All rights reserved. -
Edge computing for smart disease prediction treatment therapy
Healthcare systems are increasingly seeking to match patients' pace of life and be personalized, as they are demanding more advanced products and services. The only solution for collecting and analyzing health data in realtime is an edge computing (EC) environment, coupled with 5G speeds and modern computing techniques. The technology in healthcare is currently being used to develop smart systems that can expedite the diagnosis of disease and provide precise and timely treatment. The automated hospital monitoring system and medical diagnosis system enable doctors to monitor and diagnose patients from a variety of locations, including hospitals, workplaces, and homes and provide transportation options. As a result, overall doctor visits are reduced as well as patient care is improved. More than 162 billion healthcare IoT devices are expected to be used worldwide by 2021 thanks to the internet of things (IoT) sensors and applications for general healthcare. With edge intelligence (EI), wearable devices with sensors, like smartwatches or smartphones, and gateway devices, such as microcontrollers, can form edge nodes: smart devices with sensors, as well as gateway devices with sensors, can act as edge nodes. Smart sensor devices are typically installed at a greater distance from personal computers (PCs) and servers, which can be utilized in fog computing (FC). In healthcare, EC and FC are used to deliver reliable, low-latency, and location-aware healthcare services by utilizing sensors located within users' reach. Recently, many researchers have proposed using hierarchical computing for the distribution and allocation of inference-based tasks among edge devices and fog nodes, which could lead to an increase in computing power and compute capability of edge devices. For disease prediction, this chapter discusses a variety of EC techniques. 2024 Apple Academic Press, Inc. All rights reserved. -
Ensembled convolutional neural network for multi-class skin cancer detection
A skin cancer diagnosis is critically important in medical image processing. The role of dermoscopy and dermatologists is inevitable in skin cancer diagnosis. But, considering the time constraints on diagnosing patients on time, even medical experts need computer-assisted methods to automate the diagnosis process with a higher accuracy rate and with good performance. Such computer-assisted methods with induced artificial intelligence (AI) algorithms are gaining significance. The challenging task of medical image processing is finding benign/malignant pigmented skin lesions after the input image of patients. To identify this difference, AI-based classification algorithms shall be deployed. During the implementation of such algorithms, several performance aspects are evaluated. Once the best such algorithm is identified and evaluated for its performance attributes, it shall be deployed to assist dermatologists. This book chapter explains such a novel multiclass skin cancer classification algorithm. The proposed algorithm uses the best of the attributes and parameters of a deep convolutional neural network (CNN) to give the best-ever enactment among similar existing algorithms. The result achievement of the developed deep CNN based multi-class skin cancer classification algorithm (DCNN-MSCCA) is demonstrated using the HAM10000 dataset. To establish the significance of the developed algorithm, the performance parameters of the DCNN-MSCCA are compared with a few existing significant algorithms. The maximum accuracy of DCNN-MSCCA in predicting the exact multi-class skin cancer is 95.1%. This book chapter explains the implementation details of DCNN-MSCCA using python and libraries supporting CNN. 2024 River Publishers. -
Relevance of backcasting as a strategic tool towards organisations' sustainable future ' A key to thrive in the VUCA world
Purpose: The business world has become more turbulent than ever. Organisations must be proactive to meet the challenges of the increasingly disruptive, dynamic, and unpredictable world. One technique that has supported leaders and organisations under challenging circumstances is 'backcasting', which works by envisioning a desirable future state and then working backwards to attain it. The current study aims to extend an understanding of the backcasting practices and strategic approaches that can be used by leadership teams in different industries in order to survive in turbulent times and can be adapted within and beyond any pandemic. Methodology: The research employs a desktop research method to review and compare the most commonly used strategies that leaders from different sectors can use for their respective organisations to thrive in the VUCA world. Findings: There needs to be more research on the applicability and relevance of backcasting that the leaders of different sectors can employ. The study would provide insights that would bridge the existing research gap and come up with suitable strategies that can be employed for dealing with VUCA challenges in the Indian context. Significance: The outcome of the study will be helpful to the leaders in designing and aligning 'out of the box' backcasting strategies to survive in the highly disruptive world. 2024 The authors. Published under exclusive licence by Emerald Publishing Limited. All rights reserved. -
Exploring the influence of emotional intelligence on decision-making across diverse domains: A systematic literature review
Emotional intelligence (EI) is increasingly recognized as a crucial factor in decisionmaking across various professional domains. This systematic literature review, covering the period from 2017 to 2023, explores the intricate relationship between EI and decision-making in healthcare, business, education, ethics, and the realms of neuroscience and artificial intelligence (AI). Employing a qualitative research design, the study systematically analyzes articles retrieved from renowned databases including Scopus, ProQuest, EBSCO, J Gate, and Google Scholar. The findings reveal that elevated EI levels among healthcare professionals lead to improved clinical decision-making, characterized by enhanced patient-centered care and ethical considerations. In business and legal contexts, EI competencies are associated with ethical decision-making, effective leadership, and strong client relationships. In education, emotionally intelligent educators create supportive learning environments conducive to better pedagogical decisions and student emotional well-being. 2024, IGI Global. All rights reserved. -
Successful footprints of ChatGPT deployments in the education sector: Pros outweigh cons by embracing ethics and etiquette
Artificial intelligence (AI) is essential in all aspects of life. One crucial area to examine is the integration of artificial intelligence in education. The true essence is in providing individuals with the necessary knowledge, skills, and values needed to have a fulfilling and meaningful life. Education must adapt to equip students with essential abilities to navigate life's challenges while upholding integrity in a dynamic world. Artificial intelligence (AI), shown by technologies such as ChatGPT, exhibits significant promise in educational environments. This chapter explores personalized learning enabled by artificial intelligence (AI). Furthermore, intelligent tutoring systems are also analyzed. The text delves into various facets of the educational system where ChatGPT might offer help. Additionally, offering explanations for the prohibition of Chat GPT in many countries and educational institutions. The discussion has focused on how AI affects the socio-economic gap in the education sector. 2024, IGI Global. All rights reserved. -
Digital loneliness: A hidden epidemic in the digital health landscape
In an era of accelerated digital transformation in healthcare, this chapter examines the overlooked but crucial issue of digital isolation. Even though the digital age has brought us closer together than ever before, a paradoxical sense of isolation and emotional distance has emerged. This chapter examines digital loneliness's concept, causes, and effects, highlighting its profound impact on mental health and well-being. It extends its focus to vulnerable populations, such as older adults, infants, and people with disabilities, and addresses their unique challenges. Through user-centered design, bridging the digital divide, and personalization, this chapter promotes inclusiveness and accessibility in digital health. It also suggests adopting emerging technologies responsibly and integrating mental health support. The chapter concludes by emphasizing the significance of empathy and inclusivity in realizing the full potential of digital health for all. 2024, IGI Global. All rights reserved. -
Blockchain application on healthcare services in metaverse
The convergence of blockchain technology and the metaverse is ushering in a transformative era for healthcare services. From telemedicine to health records management, the authors delve into the innovative applications and the potential benefits for patients and providers in this blockchain-powered metaverse of health. Blockchain technology can establish trust in virtual healthcare encounters. They examine the secure sharing of health data, verifiable credentials, and decentralized patient control. Virtual clinics in the metaverse can provide patients with a realistic setting for medical consultations. Counterfeit medications endanger patient safety significantly. There are certain challenges such as privacy and security, scalability, digital divide, user acceptance etc. This study explores how blockchain ensures data security, patient privacy, and interoperability within virtual healthcare settings. Healthcare in the metaverse represents a futuristic and innovative approach to delivering and managing healthcare services within immersive digital environments. 2024, IGI Global. -
Engineering applications of artificial intelligence
Artificial intelligence (AI) has evolved rapidly over the past few decades, permeating various aspects of our lives and transforming industries. This chapter explores the emerging applications of AI across diverse fields, including healthcare, finance, transportation, education, and entertainment. In healthcare, AI is revolutionizing diagnostics, drug discovery, personalized medicine, and patient care. In finance, AI-powered algorithms are enhancing trading strategies, risk assessment, fraud detection, and customer service. The transportation sector is witnessing advancements in autonomous vehicles, traffic management, and logistics optimization through AI technologies. AI is also reshaping education with adaptive learning platforms, personalized tutoring, and educational analytics. Moreover, in the entertainment industry, AI is driving content creation, recommendation systems, and virtual experiences. Despite the remarkable progress, challenges such as ethical concerns, bias mitigation, data privacy, and regulatory frameworks need to be addressed for the responsible deployment of AI. 2024, IGI Global. All rights reserved. -
Ethical dimensions of GIS data privacy: Examining the intersection of ethics and privacy
The proliferation of mapping technologies has spurred significant attention to the ethical conduct surrounding geographic information systems (GIS). Various studies have explored these ethical considerations. Academic map and geography libraries are increasingly responsible for managing geospatial datasets, emphasizing the need for maintaining ethical standards in data archiving, cataloging, and distribution. Moral concerns about geospatial technologies encompass data accuracy, copyright, and quality assurance. Users of geospatial data must discern between ground-truth data and voluntary contributions, particularly with the rise of social media and participatory GIS. This chapter discusses the concerns concerning GIS data and the important data privacy issues while using GIS data. 2024, IGI Global. All rights reserved. -
Farm food and beverage: An attractive element of gastronomy in agritourism
The admixture of agriculture and tourism creates new fields of area like agritourism. The primary activity of agritourism is providing unique agritourism attractions to the visitors. Among the interests, farm food and beverages act as substantial components that intrigue the visitors. Food gastronomy is connected with farm food and beverage and its inception. Tourists in the agritourist destination want to explore the culinary practices there. Hence, this book chapter provides an idea of the concepts of agritourism and gastronomy, the applications of gastronomy in agritourism, the significance and dimensions of farm food and beverage in agritourism, factors influencing travelers' food choices, the benefits of gastronomy in agritourism and the value-added advantage of gastronomy in agritourism. Food is always a determinant element of the quality of service in the tourist place. 2024, IGI Global. All rights reserved. -
The trauma of gun violence: Effects on students and communities
This chapter provides an in-depth analysis of the diverse consequences of gun violence within educational institutions, with a particular emphasis on the psychological distress endured by both students and communities. This study examines the emotional, psychological, and social ramifications, emphasizing coping mechanisms, strategies for developing resilience, and community healing initiatives. The critical nature of gun violence as a public health crisis is highlighted by the imperative for policymakers, educators, and community leaders to prioritize trauma-informed approaches. Through the promotion of policy reforms and the adoption of traumasensitive methodologies, it is possible to foster the development of secure and resilient communities that promote the recovery and flourishing of individuals. 2024, IGI Global. All rights reserved. -
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. -
Minimizing the waste management effort by using machine learning applications
Waste management is a process of collecting, transporting, disposing, and monitoring waste materials generated by human activities. It is an essential part of maintaining public health, hygiene, and environmental sustainability. Waste management systems can be designed to handle different types of waste, such as household waste, industrial waste, hazardous waste, and medical waste. The increasing amount of waste has become a major issue for the development of sustainable communities. Machine learning can help solve this problem by allowing scientists to analyze and reduce waste. This chapter aims to provide a comprehensive overview of the various aspects of waste management using machine learning. The chapter covers the various aspects of waste disposal, generation, transportation, and collection. It also explores machine learning's potential in this area, such as data analysis and prediction. It additionally compiles case studies about how machine learning has been utilized in this field. 2024, IGI Global. -
Exploring vector and raster data formats for geospatial visualization with python
The chapter uses Python to explore vector and raster data formats within geospatial visualization. It highlights their pivotal role across diverse environmental science, urban planning, and natural resource management domains. A nuanced comprehension of these formats is deemed essential for proficient geospatial visualization in Python, as they facilitate the storage and manipulation of spatial data. Vector data formats accurately represent points, lines, and polygons within a coordinate system. In contrast, raster data formats are tailored to depict continuous surfaces or grids of data. An array of libraries and tools are outlined for exploring and visualizing these geospatial data formats in Python, each serving distinct functionalities ranging from data manipulation to visualization. The chapter systematically introduces the concept of geospatial visualization, elucidates the disparities and application scenarios of vector and raster data formats, and subsequently elucidates various Python libraries and tools conducive to geospatial data manipulation and visualization. 2024 by IGI Global. -
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. -
Beyond boundaries: Role of artificial intelligence and ChatGPT in transforming higher education
The goal of the proposed chapter is to give readers a thorough understanding of the complex effects of ChatGPT on higher education. It will cover the short-and long-term benefits that ChatGPT offers, as well as limitations that may affect both educators and learners. The chapter will also highlight a wide range of ethical issues and challenges that arise while using ChatGPT. Research in this area is very limited and the literature review reveals that there are benefits as well as limitations of using ChatGPT in the domain of higher education but the fact is that it is going to grow further which makes it an urgent need for the policymakers and stakeholders to explore and understand how ChatGPT should be integrated into higher education to deliver more value to the educators and learners. The proposed chapter will cover the evolution of ChatGPT, its growing popularity and impact, benefits it offers, the associated disadvantages and the road ahead. 2024, IGI Global. -
Service learning beyond the classroom: Engaging students in environmental stewardship
Service learning offers a dynamic approach to education, extending learning beyond the classroom and into the community. This chapter explores integrating service learning principles with environmental stewardship, focusing on engaging students in meaningful activities that contribute to the conservation and protection of the environment. By immersing students in real-world environmental projects, this chapter integrates six stages of the IPARDC model with environmental stewardship. Besides that, this chapter discusses a six-step system focused on environmental stewardship for service learning. Moreover, it discusses strategies for designing and implementing effective service-learning experiences that promote environmental awareness, sustainability, and social responsibility. Through collaboration with community partners and integration with the academic curriculum, service learning empowers students to actively participate in environmental stewardship efforts actively, fostering a sense of responsibility and advocacy for the natural world. 2024, IGI Global. All rights reserved. -
Beyond the borders: Fashion influencers shaping global trends
Social media has emerged as a powerful platform that revolutionized the way the fashion industry operates. Fashion influencers have significantly impacted global consumer trends and brand perceptions with their large followings and engaging content. This chapter investigated the ways in which fashion influencers leverage social media platforms to shape consumer behavior, promote sustainable fashion practices, and bridge cultural boundaries to create a more inclusive fashion community across borders. This chapter has contributed to a better understanding of fashion beyond borders, social media influencers' role in transforming the fashion landscape, and their potential to influence positive change in the industry by conducting a comprehensive literature review. This chapter explores social media influencers' multifaceted roles in redefining fashion globally. 2024, IGI Global. All rights reserved.