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Transformational innovation technologies for regenerative bioeconomy: Case study on green initiatives for tourism logistics service providers
The tourism industry has negative environmental consequences, overshadowing the regenerative bioeconomy. Climate change, land degradation, and resource depletion are significant challenges. Excessive use of non-biodegradable resources threatens the planet, requiring bio-based resources. It is critical to transition to and reuse bio-based resources. In this chapter, the regenerative bioeconomy has a wide- reaching impact on accomplishing SDG 6, 8, 11, and 12, with a focus on the circular economy's involvement in tourism logistics. Investments in talent development, digital technologies, and partnerships are needed to realise bioeconomy potential. Engaging local communities and implementing sustainable business practices can reduce energy use and environmental impact. Digital transformation requires technological advancements, foreign investment, and active participation from all stakeholders. This chapter tries to explain the complicated interplay between the regenerative bioeconomy, tourism logistics, and sustainable practises intertwining. 2023, IGI Global. -
Transformational leadership and organizational citizenship behavior: new mediating roles for trustworthiness and trust in team leaders
This study investigates the pivotal role of trust in bridging the effects of transformational leadership on organizational citizenship behavior (OCB). The study was conducted using a multilevel longitudinal approach with 276 employees in 71 teams from private medium-sized organizations in Kuala Lumpur, Malaysia. Transformational leadership was found to be positively related to: (1) three facets of trustworthiness (ability, benevolence, and integrity); (2) trust in the leader; and (3) OCB. All three facets of trustworthiness mediated the relationship between transformational leadership and trust in leaders. In addition, trust in the leader mediated only the relationship between the benevolence facet of trustworthiness and OCB. As OCB is inherently benevolent, these findings not only are consistent with the principle of compatibility, but they also contribute to theorizing about how trust plays an important role in the influence of transformational leadership on employees. The Author(s) 2023. -
Transformations to and implications for the human rights concept in the internet age
The critical shifts in the utility, implementation, and enforcement of human rights have been achieved as a result of the rise of cutting-edge technological innovation. As a result, there has been a plethora of research on the expansion of beneficiaries of the human rights and the subject matter of such rights. The authors of this chapter contend that in this era of technology, we need to reevaluate our approach to human rights, broaden the scope of those to whom obligations relating to human rights apply by including corporations and other organizations, and be ready to consider the possibility that artificial intelligence will become a topic of discussion in public relations and fundamental rights. In this chapter, a three-pronged approach to thinking about digital rights is presented. This method takes into consideration the subtle structural impact that considering human rights in the digital age has on the job that the courts do. 2024 by IGI Global. All rights reserved. -
Transformative Artificial Intelligence for Sustainable Supply Chains: Optimizing Green Logistics and Circular Economy
Artificial intelligence (AI) is revolutionizing supply chain management by providing ways to improve operational effectiveness and sustainability. In supply chain operations, businesses can decrease waste, and lower carbon footprints by utilizing machine learning, predictive analytics, and decision- making. As environmental concerns grow, industries are using AI technologies more and more to improve supply chains' sustainability, efficiency, and transparency. AI greatly enhances distribution and transportation networks by assisting with fuel efficiency, route planning, and emission monitoring via green logistics. Furthermore, by making it easier to reuse, recycle, and remanufacture things, AI advances circular economy models. It helps companies make the shift from linear to circular production systems by forecasting product lifecycle stages and controlling material flows. Keeping in view the above, this chapter analyzes the critical role of AI in shaping future supply chains, where economic performance aligns with environmental stewardship, fostering a more sustainable global economy. 2026, IGI Global Scientific Publishing. -
Transformative impact of electrical engineering on society, education, academia, and industry: a brief review
The transforming power of electrical engineering (EE) on societal evolution, educational paradigms, university systems, and industrial revolutions is comprehensively reviewed in this study. This study emphasizes the critical contribution of EE in promoting technological development, improving learning approaches, and allowing sustainable industrial practices by methodically analyzing the co-evolution of these domains from Society 1.0 to 5.0, Education 1.0 to 4.0, University 1.0 to 4.0, and Industry 1.0 to 4.0. Unlike conventional stories that credit EE alone for development, this assessment critically examines the multidisciplinary character of progress and acknowledges the contributions of computer science, computer engineering, and artificial intelligence (AI) in forming the digital world. Focusing on fundamental technologies, including power systems, semiconductor devices, renewable energy integration, and automation, which have been the backbone of recent AI-driven advancements, this study offers a crucial contribution. This study clarifies EEs special contribution of EE in the global technological revolution by separating its basic contributions from those resulting from its junction with computing disciplines. Furthermore underlined in this paper are EEs contributions to smart infrastructure development, sustainable energy solutions, and society resilience. Presenting an evidence-based evaluation, this paper provides an insightful analysis for academics, teachers, and legislators, thus supporting EEs basic enabler of multidisciplinary technical and societal advancement. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. -
Transformative Insights: Unveiling the Potential of Artificial Intelligence in the Treatment of Sleep Disorders - A Comprehensive Review
Disruptions to sleep have a substantial influence on people's overall health and quality of life. The conventional techniques for diagnosing and managing sleep disorders usually rely on subjective assessments and qualitative evaluations, that may have some accuracy and efficacy limitations. Nevertheless, recent developments in the field of artificial intelligence (AI) have presented new opportunities for better diagnosing and treating problems with insomnia. The paper reviews in depth the uses of AI in the domain of medical sleep medicine. We look at the use of algorithmic techniques for deep learning and machine learning for identifying indicators of sleep-related issues, the assessment of sleep quality, sleep tracking, and the establishment of individualized sleep therapeutics. We also discuss how AI is being used to construct forecasting models that may be used to identify individuals who are at risk of experiencing sleep issues and improve treatment strategies. In addition, we talk about the challenges and potential outcomes of incorporating AI-based techniques into clinical practice. Overall, our research highlights how AI has the potential to transform the field of sleeping medicine and improve outcomes for people with sleep-related conditions. 2023 IEEE. -
Transformative Learning, Community and Leadership for Sustainability Action
[No abstract available] -
Transformative Metamorphosis in Context to IoT in Education 4.0
In the modern technology-driven era, it is important to consider a new model of education to keep pace with Industry 4.0. In view of this, the present paper critically explores the issues, discusses potential solutions along with a comprehensive analysis of the applications of technologies such as Internet of Things (IoT) in modern education specially Education 4.0, and examines the potential of these technologies to transform the education sector. The challenges faced by previous education models are analysed along with how they pave the way to the inclusion of IoT in education, leading to Education 4.0. The potential benefits of IoT in improving learning outcomes, enhancing student engagement and retention, and supporting teachers are also highlighted. In addition, it addresses the ethical and privacy concerns associated with the use of these technologies and suggests areas for future research. 2023 A. K. Biswal et al. -
Transformative pedagogy integrating bloom's taxonomy, David Kolb's experiential learning and neuro-systemic dynamics in learning
An application of Kolb's experiential learning theory (ELT) in real situations as a blend of Bloom's taxonomy of education is given as a case study conducted about more than 15 years ago. The world has changed since then with revolutionary developments in the techno-world. Student portfolio is regarded as the documentary evidence created by the student to diagnose the student's strengths and weaknesses to assist him or her in learning. In light of this case study and developments in technology, further scope in the application of the ELT model is discussed. It is also recognised that technology to facilitate experiential learning using virtual reality or augmented reality tools is to be made more user-friendly in terms of affordability and that neuroplasticity has an important role to play in this. A case for more research in neuroscience to analyse learning styles is raised. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Transformative Trends in AI for Environmental Monitoring: Challenges, Applications
The integration of artificial intelligence (AI) and machine learning (ML) is reshaping environmental monitoring, responding to the escalating complexities of issues like climate change and pollution. This article presents a comprehensive overview of current trends, challenges, and applications in AI-driven environmental monitoring. While technologies like remote sensing and Internet of Things (IoT) have improved data resolution, the sheer volume necessitates AI for efficient processing. The review emphasizes the role of AI in real-time monitoring, providing timely insights critical for addressing natural disasters and pollution. Exploring various environmental monitoring verticals-air and water quality, climate change modeling, biodiversity, and disaster prediction-the article highlights AIs versatility in addressing diverse concerns. Challenges such as data quality, bias, interpretability, and privacy are examined, underlining ethical considerations in biased models impacting marginalized communities. This chapter discusses common environmental modeling methodologies, ranging from empirical to geospatial modeling, elucidating their advantages and challenges. 2025 Scrivener Publishing LLC. -
Transformer performance enhancement by optimized charging strategy for electric vehicles
Transformer efficiency and regulation, are to be maintained at maximum and minimum respectively by optimal loading, control, and compensation. Charging of electric vehicles at random charging stations will result in uncertain loading on the distribution transformer. The efficiency reduces and regulation increases as a consequence of this loading. In this work, a novel optimization strategy is proposed to map electric vehicles to a charging station, that is optimal with respect to the physical distance, traveling time, charging cost, the effect on transformer efficiency and regulation. Consumer and utility factors are considered for mapping electric vehicles to charging stations. An Internet of Things platform is used to fetch the dynamic location of electric vehicles. The dynamic locations are fed to a binary optimization problem to find an optimal routing table that maps electric vehicles to a charging station. A comparative study is carried out, with and without optimization, to validate the proposed methodology. 2022. The Author(s) -
Transforming Business, Industry, and Education for a Dynamic World
In todays rapidly shifting global landscape, transformation is no longer an option, it is now essential. Innovation, technology, and human creativity are reshaping the way we work, produce, and learn today. As industries converge and knowledge cycles accelerate, organizations and educational systems must embrace collaboration and continuous learning to stay ahead. This transformation is not just about adopting new tools or processes; its about rethinking mindsets and building ecosystems capable of thriving amid constant change. Transforming Business, Industry, and Education for a Dynamic Worldexplores the trends and technological advancements in business, education, and industry sectors in an interconnected world. This book highlights emerging technologies and strategies driving adaptation, skill development, and sustainable growth across global learning and professional environments. Covering topics such as technological advancements, business innovation, and educational technologies, this book is an excellent resource for faculty members, researchers, business leaders, global economists, administrators, policymakers, academicians, educators, and more. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Transforming Classrooms with Adaptive Content: From One-Size-Fits-All to Personalized Mastery
Educational disparities continue to be a great hindrance in contemporary learning settings as a result of the inability of conventional methods, founded on the single-size-fits-all principle, to address the divergent demands of students' thinking. This envisioned technological intervention is a paradigm shift to personalized delivery of educational content through cutting-edge artificial intelligence methodologies. The strategy bridges the gap between innovation in technology and pedagogical impact, resulting in democratization of learning experience. This is especially transformative for students from marginalized communities, who have in the past been excluded from accessing customized educational resources because of the lack of access to quality education. 2025 IEEE. -
Transforming Customer Relations: Emotional AI and Behavioural Insights as Strategic Enablers in the Automotive Industry
This research examines how emotional AI deepens customer relations within the American automotive industry and how behavioural insights (BLI) mediate this process. Underlying framework: In the automotive industry, prioritising customer needs is crucial. Using emotional AI that analyses emotions and behavioural patterns can contribute to customer loyalty and satisfaction. The research employs a quantitative survey research approach. The sample pool comprised 237 customer experience managers representing various automotive companies in Texas. Emotional AI, business intelligence (BI), and consumer research are assessed using survey questionnaires, and the responses are recorded electronically. Descriptive regression and correlation analysis methods are employed to understand the connections between emotional AI, BLI, and customer relations. Evidence: The survey results indicated a positive relationship between the developed emotional AI and BLI, highlighting aspects of customer relations, including satisfaction and trust levels. The researchs findings suggest that emotional AI and BI could be a strategic intervention for enhancing customer loyalty. 2026 Haitham M. Alzoubi and Shanmugan Joghee and 2026 The authors. -
Transforming Education With Data Science in the AI Era
In this AI era, data science emerges as a transformative tool in education. By using data sets, educators and administrators can make informed decisions that personalize learning and improve resource allocation. As AI technologies become more integrated into educational systems, data science serves as a critical bridge between raw information and actionable strategies, enabling a more adaptive, equitable, and evidence-based approach to teaching and learning. Transforming Education With Data Science in the AI Era explores the intersection of AI and data science in reshaping education. This book offers solutions to key challenges, such as ethical dilemmas, data privacy concerns, and digital inequity, to create a sustainable AI-driven education model. Covering topics such as AI, data science, and education, this book is an excellent resource for academicians, educators, educational leaders, and technology developers. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Transforming Finance into an AI-Driven, Data-Centric, and Analytics-Focused Function: Implications for Organizational Impact
The financial function within organizations is evolving from a traditional cost-center role to a strategic partner powered by artificial intelligence (AI), data analytics, and advanced technologies. This transformation is reshaping how financial professionals analyze data, predict trends, and support decision-making. By leveraging AI, finance teams can automate repetitive tasks, enhance data accuracy, and deliver actionable insights in real-time. Integrating predictive and prescriptive analytics further empowers organizations to forecast financial outcomes, optimize resource allocation, and mitigate risks with precision. This shift to an AI-driven, data-centric finance model fosters agility, innovation, and enhanced collaboration across departments. It aligns financial strategies with organizational goals, improving operational efficiency and driving sustainable growth. However, the transition demands investments in digital infrastructure, a redefinition of roles, and an upskilling of personnel to handle complex analytics tools. The implications for organizational impact include enhanced competitiveness, informed decision-making, and a stronger ability to navigate an increasingly volatile economic landscape. This chapter explores these transformations, their challenges, and the opportunities they unlock for organizations aiming to thrive in a data-dominated era. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Transforming Financial Sector Through Financial Literacy and Fintech Revolution
The current research focuses on the financial literacy among the women, youth and impact of fin-tech on the socioeconomic well-being of the economy. The researcher has incorporated extensive data mining on financial well-being and assesses the financial literacy along with attitude and behavior for financial knowledge mainly focusing on youth and usage of AI in financial services. It has been observed during research that the benefits of the technology are limited only to the urban areas, but the rural places are not much benefited and therefore more focus is needed for the financial technology to get amalgamated with rural lifestyle for convenience and transparency of financial transactions. This research paper contributes to the awareness of financial literacy and importance of financial reliance for the youth of today through knowledge sharing. The research also highlights the importance of government involvement in financial literacy and creating awareness at a global level for well-being of youth and women. Financial literacy can also improve the rate of entrepreneurs growth and financial decisions. Financial knowledge and fin-tech services can help in better financial decisions and saving culture for self-reliant youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. -
Transforming Food Waste Management with Blockchain: A Sustainable, Consensus Driven Framework
Food waste management is a stern issue that is prevalent around the word, affecting multiple countries and cultures. In a technology driven era, blockchain has gained intense attention because of its various beneficial facets. Blockchain is defined as a technology with its features like security, transparency and immutability, where only the authorized members in a network are given access. The decentralized technology enables transparency and traceability which can be used in food supply chain in conjunction with the various consensus mechanisms to validate transactions. This would ensure consistency and reliability, ensuring the stakeholders to track vivid stages such as food production, processing and distribution. Wastage of food is a cosmopolitan issue conducive to social, economic and environmental challenges. Our proposed work provides substantial benefits in a way to tackle inefficiencies in the food supply chain, Blockchain based business process reengineering can further automate these processes. The paper presents five popular consensus mechanisms that can be used for a sustainable food waste management. The work focuses on providing a blockchain based solution that is low powered and scalable, which in turn increases sustainability and reduces global food waste. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Transforming future startups through servant leadership and social entrepreneurship profitability
This book chapter delves into the influence of servant leadership on the profitability of social entrepreneurship, a phenomenon widely recognized by thriving startups worldwide. It generates hypothesis about the effect of seven facets of servant leadership viz., empowerment, conceptualization, followers influence, emotional convalescence, follower's growth and succession, value-creation for the community, and ethical behavior on social entrepreneurship profitability. The data was received through e-mail survey from 158 entrepreneurs located in Bengaluru. Hypothesis testing was done using multi-regression analysis technique. Results of the study specify that the seven dimensions of servant leadership except conceptualization have significant impact on the social entrepreneurship profitability. Further, the study continues with discussion of the inferences for practice by the social entrepreneurship, suggestions for future studies, and the continuous advancement of leadership tactics as well as styles that support upcoming social entrepreneurship ventures. 2024, IGI Global. All rights reserved.