Browse Items (11810 total)
Sort by:
-
Harnessing transformational technologies for a sustainable future: A regenerative approach to green economy and tourism development
This chapter proposes to understand the prospects of smart technologies that can transform tourism destinations and instigate regenerative development process. Bio-based resource consumption and technology-driven practices aimed for better sustainable development have been the need of the era. This study emphasizes the theory of regenerative tourism, which attempts to preserve and improve a destination's natural and cultural resources while contributing to the socio-economic development of the host communities. It examines how transformational technologies, like smart infrastructure, big data analytics and renewable energy systems, could assist the tourism industry achieve the transition to a green economy. This chapter illustrates the benefits and problems of integrating such technologies into the tourism infrastructure of a destination. Additionally, it highlights the necessity of cooperation among stakeholders and policymakers and examines the possible environmental, social and economic implications of using a regenerative approach to tourism. The results of this study contribute to the expanding body of knowledge on the development of sustainable tourism and shed light on the transformative potential of technology in creating a more sustainable and resilient future. 2024 Alhamzah Alnoor, G Erkol Bayram, Chew XinYing and Syed Haider Ali Shah. All rights reserved. -
Harnessing the Power of Simulation Games for Effective Teaching in Business Schools
This research delves into the effectiveness of simulation games, in business education specifically focusing on how they improve decision making skills, critical thinking, real world business applications, student engagement and problem-solving abilities. While simulation games are widely recognized as cutting edge tools that provide learning experiences beyond traditional methods there remains a gap in empirical research assessing their overall impact on educational outcomes. Using a combination of analysis and qualitative case studies this study seeks to address this gap by examining how simulation games influence factors in business education. The methodology involves using a one-way ANOVA to compare learning outcomes across business disciplines and conducting detailed case studies for context. The results reveal effects of integrating simulation games into curricula on the mentioned learning outcomes. These findings highlight the importance of incorporating simulation games into business education to enhance students learning experiences effectively. By offering insights on optimizing and tailoring the use of simulation games in education settings this study contributes to improving teaching practices in business schools and encourages research into the interaction, between educational technology and learning efficacy. 2024 IEEE. -
Harnessing the Power of Climate Activism: Insights from Psychological Perspectives on Climate Change EngagementA Systematic Review
Scientific evidence has validated the inevitability of global warming and its effect in the form of climate change. There has been an increase in climate strikes and other forms of climate activism in recent years. It is important to understand the research landscape in psychological literature with regards to climate change and climate activism, to help guide future researchers. The databases of PubMed (Keywords: climate activism, climate change, psychology, n?=?1), Google Scholar (Keywords?=?climate activism, climate change, psychology, n?=?200) and Scopus database (Keywords: climate activism AND climate change AND psychology, n?=?160) were searched to create the pool of research documents. This was further filtered according to the inclusion and exclusion criteria. In the first section of this article, we have tried to explore the temporal and geographic growth trends of climate change research and collaborations using R (Bibliometric package). In the second section, we have used a text-mining approach to identify the research topics being explored in the climate change literature. R package tm along with associated packages were used to do the processing and subsequent grouping of the themes. In order to refine the classification the identified groupings were supervised by the authors. The final documents have been scoured to extract an overall understanding of the existing concepts explored so far and gauge their impact in the realm of climate change research. This systematic study casts light on the psychological views on climate activism and offers insightful information about the underlying causes that affect peoples involvement in the fight and struggle against climate change. The creation of more effective techniques for encouraging climate activism and utilizing its capacity to inspire significant action to address climate change can be influenced by an understanding of these elements. In order to address the complex issues of climate change, this chapter emphasizes the value of multidisciplinary collaboration amongst psychologists, policymakers, educators, and activists. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Harnessing the Power of Big Data Analytics to Transform Supply Chain Management
The study aims to conduct a systematic literature review and bibliography analysis to explore the role of big data analytics in transforming supply chain management. The systematic literature review was conducted according to the PRISMA guidelines extended into a three-phase approach. The articles were reviewed from different databases like Scopus, Web of Science, and ABDC. 239 articles were reviewed through abstract screening, and 191 articles were finally selected after full-text screening. The results of the analysis reflected the publication trend from January 2011 to January 2024, keyword analysis, co-citation and network analysis, and theme identification from the domain. Moreover, the study theoretically contributes by suggesting growing trends in the field of supply chain management, and the managerial implications of the study suggest the benefits of implementing big data analytics in supply chain management. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Harnessing technology for mitigating water woes in the city of Bengaluru /
Journal of Physics: Conference Series, Vol.1427, pp.1-12, ISSN No: 1742-6596. -
Harnessing technology for mitigating water woes in the city of Bengaluru
Industrialization has caused most of the world's environmental problems like climate change, water security issues, biodiversity issues among others. Water-related issues like water scarcity, lack of water quality, water sanitation issues, lack of proper water resources management are some of them. Urbanization, population increase, pollution has led to an increase in water demand. Water being the elixir of life, is essential for the day-to-day living of an individual. The Fourth Industrial Revolution technologies like AI, IoT, Blockchain, Machine Learning have the capability of bringing solutions to these issues. The current study focuses on the water woes of Bengaluru, a fast-growing urban city, due to its migrating population. The woes are also due to the irresponsible behaviour of builders converting lakes into real estate infrastructure leading to clogged drains, excess sewage creation and flooding. A huge mismatch between demand and supply of water is created due to these issues. Before the city hits the Day Zero - no water day, it is significant to set up water infrastructure along with technology implementation which will help resolve this burning issue at the earliest. Published under licence by IOP Publishing Ltd. -
Harnessing Technology for a Sustainable Future in Finance: The Role of Artificial Intelligence in Promoting Environmental Responsibility
The integration of artificial intelligence (AI) into sustainable finance has become a focal point in recent years, propelled by global concerns about the environment and the pressing need for sustainable development. AI technologies, equipped with advanced capabilities, offer significant opportunities to address challenges faced by financial institutions, investors, and policymakers, ushering in the prospect of a more sustainable and inclusive economy. AI's applications in sustainable finance cover diverse areas such as environmental risk assessment, green investment analysis, climate change modeling, and the integration of Environmental, Social, and Governance (ESG) factors. By leveraging advanced data analytics and machine learning algorithms, AI empowers financial institutions to assess environmental risks associated with investments and portfolios, identifying climate-related opportunities and seamlessly integrating ESG factors into decision-making processes. Furthermore, AI-driven technologies streamline the collection, processing, and analysis of extensive data from varied sources, facilitating precise and timely sustainability reporting. These technologies contribute to identifying sustainable investment trends and play a crucial role in monitoring the progress of sustainability initiatives. AI algorithms also aid in crafting predictive models for climate-related events, assisting investors and policymakers in evaluating the long-term financial implications of climate change and formulating effective mitigation strategies. While the adoption of AI in sustainable finance offers immense potential, it is not without challenges and risks. Ethical considerations, data quality and biases, transparency, and the interpretability of AI models are among the key concerns that require careful attention. Additionally, the establishment of regulatory frameworks and industry standards is essential to ensure the responsible and ethical use of AI technologies in finance. In spite of these challenges, the integration of AI in sustainable finance holds great promise for expediting the transition towards a greener and more sustainable future. It empowers stakeholders to make well-informed decisions, advocates for responsible investment practices, and contributes significantly to the attainment of global sustainability goals. By harnessing the capabilities of AI, financial institutions and policymakers can unlock new opportunities, mitigate risks, and cultivate a financial system that is not only sustainable but also resilient. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Harnessing nanotechnology applications and solutions for environmental and climate protection-an overview
Nanotechnology is an emerging technology that has drawn considerable interest from environmentalists. Numerous nano techniques identify Nanotechnology applications as having the potential for imperative advantages and innovation. This work offers a wide-overview of the main beliefs that strengthen s nanotechnology. We focus on the potential applications of nanotechnology for environmental protection and management by thoroughly reviewing past literature. To our understanding, this is an academic, peer-reviewed work to deliver a systematic review of nano-activities in the areas of environmental and climate protection. Our study has been systematically arranged into two different groups (1) Potential applications of nanotechnology in r environmental protection and (2) The best part of Nanotechnology that combats Climate Change. For each of these cases, our contribution is twofold: First, in identifying the technical ways by which nanotechnology can solve environmental risks, and secondly, in briefly presenting its potential advantages. The paper ends with deliberation of challenges and operational barriers that technology needs to overcome to prove its commercial viability and for being adopted for commercial use. 2021 Author(s). -
Harnessing Medical Databases and Data Mining in the Big Data Era: Advancements and Applications in Healthcare
In the contemporary period of Big Data, the healthcare industry is witnessing a transformative paradigm shift, propelled by the convergence of medical databases and data mining technology. This research paper delves into the multifaceted application of this synergy, offering a comprehensive overview of its implications and opportunities. With the exponential growth of healthcare data, the utilisation of medical databases serves as the bedrock for data mining techniques, fostering critical advancements in diagnosis, treatment, and patient care. Through this research, we explore the integration of electronic health records, genomic data, and clinical databases, unveiling new dimensions of predictive analytics, patient profiling, and disease monitoring. Moreover, we assess the ethical and privacy concerns entailed in this data-rich landscape, emphasising the need for robust governance and security measures. Our paper encapsulates the evolving landscape of health care, demonstrating the immense potential and the ethical responsibilities accompanying this groundbreaking merger of technology and medicine in the period of Big Data. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Harnessing Machine Learning for Mental Health: A Study on Classifying Depression-Related Social Media Posts
This study is of particular relevance in the way it identifies depression-related content on social media using a machine learning model to classify posts and comments. This dataset, encompassing around 6500 entries from various platforms including Facebook, was rigorously annotated by four proficient English-speaking undergraduate students together with the final label which is established via majority voting. Data Preprocessing, initial cleaning, normalization and TF-IDF feature creation through vectorization for the output of POS tags. The different machine learning models that were trained and tested are Logistic Regression, Random Forest, SVM (Support Vector Machine), Naive Bayes Gradient Boosting Algorithm K-NN (K nearest Neighbors) AdaBoost Decision Tree. Authors evaluated the models and measured their accuracy, precision score, recall rate (also known as sensitivity) in addition to F1-score. Gradient Boost, Random Forest, and SVM were top performers among which Gradient boosting was found to be an overall best one with almost 98.5%. They show that machine learning model can successfully predict the label of social media posts, as a way for accurately identifying depression from text data. This detailed model performance evaluation is useful in understanding what each approach does well and poorly, shedding light into whether they are / would be actually suitable for real-world applications. This study not only developed discriminative classifiers, but also included detailed analysis of their performance which should hopefully guide future work and help in practical implementations for real-time mental health monitoring. Through this work, this study aim to facilitate timely identification of depression-related posts, ultimately supporting mental health awareness and intervention efforts on social media platforms. 2024 IEEE. -
Harnessing digital innovation for inclusive tourism: Role of emerging technologies in creating accessibility and equity
The rapid advancement of digital technologies has ushered in a new era for the tourism industry, presenting unprecedented opportunities to enhance inclusivity, accessibility, and equity in travel experiences. This study investigates the transformative potential of emerging technologies in fostering a more inclusive tourism landscape. Specifically, it examines how selected digital innovations such as artificial intelligence (AI), augmented and virtual reality (AR/VR), mobile applications, and wearable devices are shaping the accessibility and equity of tourism for diverse populations. This chapter begins with a comprehensive literature review, highlighting current trends, challenges, and existing studies on inclusive practices in the tourism sector. The paper delves into a detailed analysis of each emerging technology, showcasing successful integration examples from real-world cases. It evaluates the benefits and potential challenges of adopting these technologies, especially in enhancing accessibility for travelers with disabilities. The examination addresses physical, sensory, and cognitive accessibility barriers, providing insights into how technology reshapes travel experiences for diverse individuals. This chapter delves into the role of emerging digital innovations in fostering equity within the tourism sector. By facilitating cross-cultural connections and enhancing access to tech-driven travel experiences, these technologies contribute to a more inclusive landscape. The study scrutinizes socioeconomic dimensions, shedding light on the holistic impact of tech integration. While acknowledging challenges and ethical concerns, responsible technology deployment is endorsed to counterbalance drawbacks and bridge the digital divide, enabling marginalized communities to leverage the benefits of this digital transformation. The implications of this study are relevant for businesses, policymakers, and tourism stakeholders. The chapter concludes by providing practical recommendations for the responsible incorporation of emerging technologies and emphasizing the long-term sustainability of inclusive digital innovations. By shedding light on the transformative potential of these technologies and outlining guidelines for their application, this research contributes to the evolution of a more accessible, equitable, and inclusive tourism industry. 2024 Nova Science Publishers, Inc. All rights reserved. -
Harmonizing human resource strategies navigating employer branding in sustainable organizations
In the framework of sustainable businesses, this chapter examines the synergies between employer branding and human resource (HR) strategies. In order to establish a harmonic organizational framework, this chapter thoroughly investigates how HR practices might be strategically aligned with sustainability goals. It explores the opportunities and challenges of managing employer branding within sustainable business practices. It sheds light on specific variables and practices that must be considered to develop an employer brand that reflects the organization's commitment to sustainability. In order to create an integrated, attractive, and socially responsible employer brand, it is important to align their human resources practices with sustainability initiatives. It provides insights into the strategic integration of employer branding and human resources, presenting a roadmap for businesses looking to match their HR procedures with sustainability programs. 2024, IGI Global. All rights reserved. -
Harmonizing financial systems for a greener future: Exploring sustainable finance strategies in India
Sustainable finance represents the next biggest transformation in the financial sector to aid the process of sustainable development. Sustainable finance comprises traditional investment which provides financial profits as well as financing the projects or investments that have social, economic and governance impact. The transition from traditional investment to sustainable finance is underway in different markets at different capacities. This study seeks to examine the performance of sustainability indices representing sustainable finance in the Indian and global markets by analysing returns. It was found that sustainable finance gained significant appreciation in the Indian market. In comparing the performance of sustainability indices in developing and developed markets, there was no development divide identified. In this path towards widespread adoption of sustainable finance, data science as a field also provides promising applications for facilitating this transformation. 2024, IGI Global. All rights reserved. -
Hardware in loop network simulators - An insight overview
Network simulation is a method of using software or a tool which can be used to mimic the network conditions that exist in pre-defined places. This kind of simulation allows the developers, designers, researchers and the network planners to intelligently plan, design, develop and test their applications or research work in changing network conditions. With varying network conditions either because of wireless nature or because of user mobility, it is very difficult to simulate the exact network conditions with the existing network simulators. These network simulators are flexible, re-usable and reliable. But they have a limitation of not being able to replicate the actual network conditions in the laboratories. This calls for a system in the loop or hardware in the loop concept to be extended to the network simulators. The idea of system in the loop is not new. In this paper, an overview with the fundamental understanding of the hardware-in-loop concept for network simulators, their applications and a review of the existing hardware-in-loop network simulators with their advantages and disadvantages is presented. 2024 World Scientific Publishing Company. -
Haptics: Prominence and Challenges
Derived from a Greek word meaning sense of touch, Haptic is a communication technology which applies tactile sensation for human-computer interaction with computers. Haptic technology, or haptics, is a tangible feedback technology that takes benefit of a users sense of touch by applying forces, sensations, or motions to the user. These objects are used to methodically probe human haptic capabilities, which would be complex to achieve without them. This innovative research tool gives an understanding of how touch and its core functions work. The article will provide a detailed insight into the working principles, uniqueness of the technology, its advantages and disadvantages along with some of its devices and notable applications. Future challenges and opportunities in the field will also be addressed. 2020, Springer Nature Switzerland AG. -
Happiness, Meaning, and Satisfaction in Life as Perceived by Indian University Students and Their Association with Spirituality
The present study aims to examine the association between various dimensions of psychological well-being (subjective happiness, satisfaction, and meaning in life), spirituality, and demographic and socioeconomic background of university students. A total of 414 postgraduate students were selected from three different schools, viz. science, management, and social sciences/humanities of Pondicherry University (A Central University), Puducherry, India, following multistage cluster sampling method. One semi-structured questionnaire and four standardized psychological scales, viz. subjective happiness scale, satisfaction with life scale, meaning in life questionnaire, and spirituality attitude inventory, were used for data collection after checking psychometric properties of the scales. The results show that a positive significant correlation between spirituality and subjective happiness exists. Spirituality is also correlated with meaning in life and satisfaction with life scale. Statistically, no significant gender difference was observed with respect to subjective happiness, meaning, and satisfaction in life as well as spirituality although the mean score of female students was more in all the four psychological domains. Non-integrated students are found to be happier than integrated students, and statistically it was significant. Positive interpersonal relationship and congenial family environment were probed to be facilitating factors for positive mental health of university students. There is a severe need to address students mental health by every educational institution through multiple programs. 2019, Springer Science+Business Media, LLC, part of Springer Nature. -
HAPPINESS INDEX OF HIGHER EDUCATION STUDENTS TOWARDS ONLINE LEARNING IN INDIA
World Happiness Index generally indicates the level of happiness and satisfaction among the residents in a given country. Since we all know that worldwide new ecosystem of online education has evolved there are many countries which have done pretty well with respect to adopting of technology in the education others have been lacking behind and hence causing more inequality in the online education space. To understand the students' perception and satisfaction regarding the online learning this study was conducted to assess the relationships of the happiness index (HI) and related parameters which were retrieved from existing literatures and self-prepared parameters. Accordingly, the world happiness index signifies a direct relationship with the social economic development factors leading to the general well-being of individuals and societies that include the full development of healthcare, politics, and higher employment. The question arises has the online learning lived up to its potential? The Indian Education System is heterogeneous comprising of private and public universities. The study was on conducted in the National Capital Region of India, (NCR). The data was collected from various types of universities' students irrespective of the gender, caste, creed and religion. The study aims to understand the perception of the students and challenges faced by them during the online learning. It is very important to know the views of the students along with teachers to get the true ground reality of online learning in India. Since the pandemic have hit overall the world education sector was hit too. All the educational institutions were closed for about nearly 1.5 years. There was drastic shift in the paradigm from traditional learning to the online learning. To understand the students' perception data is being collected from around 268 students of the Delhi NCR region. The study is quantitative. The questionnaire was distributed to the both Government and Private Universities to understand students' satisfaction regarding online learning. The data was being analyzed in the graph form. The study says the future of online learning is possible provided students have access to devices and better connectivity. 2022 Zeitschrift fur Psychologie / Journal of Psychology.All rights reserved. -
Happiness and resilience among young physically disadvantaged employees in India: A pilot study
Purpose: The study aimed to examine and compare the happiness and resilience of disadvantaged employees and non-disadvantaged employees. Method: The study sample included 37 young employees, between 20 and 30 years of age. Among them, 17 were with physical disadvantages of one type or the other, and 20 had no physical disadvantages. Results: Mann-Whitney U test showed that there is no difference in resilience and happiness between disadvantaged and non-disadvantaged employees. Among the non-disadvantaged employees, there is a relationship between happiness and resilience. However, among the disadvantaged employees, this relationship is not there. Conclusions: Disadvantaged employees in the present sample do not differ from the non-disadvantaged in their happiness and resilience. However, it cannot be assumed that happiness is a contributing factor to the resilience of the disadvantaged employees. Also, it is not possible to generalize the results of the study due to the small sample size. 2019, Action for Disability Regional Rehabilitation Centre. All rights reserved. -
Handwritten tibetan character recognition using hidden markov model
The Tibetan language which is one of the four oldest and most original languages of Asia is elemental to Tibetan identity, culture and religion and it convey very specific social and cultural behaviors, and ways of thinking. The annihilation of the Tibetan language will have tremendous consequences for the Tibetan culture and hence it is important to preserve it. Tibetan language is mainly used in Tibet, Bhutan, and also in parts of Nepal and India. Tibetan script is devised based on the Devanagari model and Sanskrit based grammars. In this paper, a method for Tibetan handwritten character recognition based on density and distance feature detection is presents. To get a better classification result, images are converted into binary and noise removal is done by using Otzsos method. Features are extracted by normalizing the image based on distance and density of the pixel in the image. Finally, Hidden Markov Model is used for character classification. BEIESP. -
Handwritten Telugu Character Recognition Using Machine Learning
The Telugu language is the most prominent representative within the Dravidian language family, predominantly spoken in the southeastern regions of India. Handwritten character recognition in Telugu has significant applications across diverse fields such as healthcare, administration, education, and paleography. Despite its importance, the Telugu script differs significantly from English, presenting distinct challenges in recognizing characters due to its complexity and diverse character shapes. This study explores the application of machine learning, particularly delving into deep learning techniques, to improve the accuracy of Telugu character recognition. This paper proposes a model to recognize handwritten Telugu characters using Convolutional Neural Network (CNN). The proposed study demonstrates the accuracy in identifying diverse handwritten Telugu characters. We assess the system's performance against conventional and machine learning methodologies and preprocess an extensive dataset to guarantee strong model training. The proposed model excels in accurately predicting visually similar but distinct characters, achieving an impressive accuracy rate of 96.96%. 2024 IEEE.