bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling the Remarkable Ethnobotanical, Medical Marvels, and Biogenic Alchemy of Carom Seeds
Authors: Abbas Nukhba , Fayyaz Imama , Mustafa Kiran , Musaddiq Sara , Fatima Maryam
Published: April 2024

Use of plant is as old as human cultivation. Trachysperum ammi is native to Egypt and cultivated in Mediterranean regions.iTrachysperum ammi acts as good appetizer stomachie and laxative. Medicinal therapeutic and pharmaceutical potentials of carom plant is attributed to its bioavailability and phytochemical composition. Phytochemical studies have revealed the presence of alkaloids, steroids, glycosides, flavonoids, cumene, thymine. Medicinally it posseses pharmacological activities like antifungal, antioxidant, antimicrobial, broncho-dilating action. Its ethnobotanical uses are venomous insect bite, kidney stone, stomach tonic and acidity. Present review summarises phytochemical, ethanobotanical uses and pharmacological importance as well as their role in biogenic synthesis of important chemicals
Foeniculum vulgare (Fennel)
Authors: Rani Sadia No. , Aslam Zahida No. , Babar Sidra N.
Published: April 2024

This chapter opens with the description of fennel (Foeniculum vulgare Mill), an annual herb cultivated for its seeds, leaves, fruits, and essential oil and valued for its pleasant aroma, medicinal and nutritional properties. Taxonomy, different varieties, and botanical description will be described. The principal constituents from volatile oil and fruits are 50-60% anethole and 15-20% fenchone. Several studies on F.vulgare suggest that this herb possesses many culinary and traditional applications. It has been used for remedy of different disorders such as it acts as antimicrobial, stimulant, antiflatulent, carminative, muscle relaxant, and expectorant etc, Toxicity and allergenicity are mentioned. Foeniculum has potential to be used as a good source of traditional medicine and it provides the noteworthy basis in pharmaceutical biology for the development /formulation of new drugs and future clinical uses. The fragmented information available in the literature regarding ethno-medicinal applications, morphology, phytochemistry, and toxicology of Foeniculum vulgare will be gathered.
The Interface of Minds Human-Machine Interaction in the Digital Age
Authors: Vanisri K. , Padhy Prabir Chandra
Published: April 2024

Artificial intelligence (AI) is an increasingly expanding domain within the field of computer science that engenders intelligent machines competent in executing human tasks. The implementation of AI technology is progressively becoming more prevalent in sectors such as healthcare, banking, and transportation. The efficacy, accuracy, and decision-making capabilities of AI have the potential to revolutionize a wide array of industries. AI acquires knowledge and enhances its proficiency by utilising machine learning algorithms. These algorithms allow robots to assess extensive datasets, subsequently discovering patterns and insights that surpass human comprehension. Human-machine interaction centres on the collaboration between individuals and computers or machines, where it can anticipate assumptions and methods utilized to facilitate a spontaneous framework. The basic purpose of human-computer interaction (HCI) is to create functional systems that end users find useable, safe, and effective.
Cognitive Bias and Fairness Challenges in AI Consciousness
Authors: P. Ashwini , Padhy Prabir Chandra
Published: April 2024

As artificial intelligence (AI) continues to permeate various facets of our lives, the intersection of cognitive bias and fairness emerges as a critical concern. This chapter explores the intricate relationship between cognitive biases inherent in AI systems and the pursuit of fairness in their decision-making processes. The evolving landscape of AI consciousness demands a nuanced understanding of these challenges to ensure ethical and unbiased deployment. The presence of cognitive biases in AI systems reflects the data they are trained on. Developing universal standards for fairness that can adapt to diverse contexts remains an ongoing challenge. In conclusion, cognitive bias and fairness in AI consciousness demand a holistic and multidisciplinary approach. Addressing these issues necessitates collaboration between researchers, ethicists, policymakers, and industry. Developing transparent, adaptive, and universally accepted standards for fairness in AI is essential to ensure the responsible and ethical deployment of these technologies in our increasingly interconnected world.
Cognitive Processes in the Digital Realm
Authors: M. Niveditha , Chandrapadhy Prabir
Published: April 2024

Cognitive processes, including reasoning, doubt, and thought, are mental operations used by the brain to comprehend, acquire, retain, and resolve issues. The digital realm transforms human cognition, affecting memory, metacognition, and other cognitive processes. The digital revolution allows for data analysis, environmental monitoring, and predictive reasoning but also presents challenges in reading, writing, remembering, and forgetting. Virtualizing social spaces and using digital media as memory technology further contributes to this transformation. Cognitive science theories like connectionism, functionalism, and the concept of a homunculus help understand these processes. Replicating complex cognitive functions in the digital realm remains a challenge.
Impact of Mindfulness on the Modern Workplace
Authors: Mund Amrit , Chauhan Anshul Singh , Tarush Akshat , Joshi Aditya Amol
Published: April 2024

This chapter delves into the impact of mindfulness on the modern workplace through a qualitative study, leveraging 30 in-depth interviews with professionals spanning various sectors, including banking, financial services, and insurance (BFSI); education; manufacturing; and more. This chapter uncovers the debilitating effects of workplace stress on professionals across sectors. It demonstrates that mindfulness offers a potent means to alleviate stress. This chapter spotlights the unique challenges faced by working women in the modern workplace and how mindfulness practices empower women by enhancing self-confidence and resilience and promoting a healthy work-life balance. With the digital age, Gen Z employees exhibit distinct expectations and behaviors, posing a challenge to traditional work cultures. Mindfulness is identified as an essential tool for them to manage stress and improve focus. The chapter also accentuates the necessity for organizations to invest in mindfulness programs and initiatives.
AI-Driven Marketing Success Stories
Authors: Sankar Jeganathan Gomathi
Published: April 2024

In this chapter, the authors explore the exceptional achievements and cutting-edge tactics implemented by major industry players, specifically Dominos, Nike, and Coca-Cola, within the domain of advanced technology-enhanced marketing. The authors shed light on Dominos' dom assistant and voice ordering system, emphasizing how voice and conversational technologies have redefined the way customers interact with the brand. Examining Nike's pioneering personalized design campaign, the authors uncover the distinct technological approaches used to provide bespoke and captivating experiences for their audience. Additionally, the chapter narrates the captivating story of artificial intelligence vending machine, illustrating how the integration of voice and conversational techniques elevated the brand's marketing endeavors. Through these case studies, readers will gain insights into the versatile applications of innovative technologies in marketing, showcasing a transformative shift in how brands engage with consumers.
Artificial Intelligence and Data Analytics: A Narrative Review of Zimbabwe's SME Market
Authors: Ngonisa Cryin
Published: April 2024

The coming in of the fourth industrial revolution has come with many changes. Smart technology has been introduced and markets for SMEs have not been spared since each business is going smarter. This book chapter comprises a narrative analysis on the relationship between artificial intelligence and data analytics and SMEs' markets in Zimbabwe. Bibliometric analysis was done and searches of literature on platforms like Google Scholar and Scopus was done. Literature reviewed was from the period 2013 to 2023. It was found that SMEs are being affected by the changes in technology and there was need for governments to intervene so that SMEs move with trends so that they do not fail.
Item Selection Using K-Means and Cosine Similarity
Authors: Dhabliya Dharmesh , Jain Kshipra , Bargavi Manju , Deepak  , Dhablia Anishkumar , Kumar Jambi Ratna Raja , Gupta Ankur , Pramanik Sabyasachi
Published: April 2024

In today's digital world, recommender systems (RS) are crucial since they provide tailored suggestions depending on user preferences. In order to get beyond the constraints of RS, this chapter presents a revolutionary machine learning technique that uses cosine similarity, embeddings, and k-means clustering. The difficulties and solutions associated with using k-means clustering in RS are covered in the first part. Various approaches are investigated to provide an all-encompassing perspective on recommendation systems. The next part discusses using cosine similarity and embeddings to improve the quality of recommendations. High-dimensional data is made simpler by embeddings, and similarity is precisely measured using cosine similarity. Transparency is ensured by covering dataset selection, analysis, and solutions in this chapter. The system architecture is covered in the concluding section, emphasizing approaches. This chapter provides information about the development of RS.
Privacy-Preserving Computing in the Healthcare Using Federated Learning
Authors: Khan Sangeen
Published: April 2024

In the context of healthcare, the Internet of Things (IoT) relates to a collection of physically linked objects that may share data. This network comprises a variety of medical equipment, wearables, and sensors. The Internet of Medical Things (IoMT) concentrates exclusively on IoT applications in the medical field, with an emphasis on gadgets connected to patient care and health monitoring. Large volumes of health-related data are generated by these networked devices, which introduces the concept of big data. Patient records, measurements from real-time monitoring, and other health-related data are all included in this data. Artificial intelligence's machine learning subfield enhances big data analytics by allowing computers to learn from the data they collect and gradually become more efficient. Machine learning algorithms may be used in healthcare for illness detection, therapy optimization, customized medication, and analytical forecasting. There are several possible advantages to integrating these technologies in healthcare. Proactive intervention, early anomaly identification, and continuous health tracking are made possible by real-time monitoring via IoT/IoMT devices. But there are additional issues with data security, privacy, interoperability, and the moral use of patient data that come with this intersection. To deal with such issues, federated learning (FL) is playing a very crucial role in privacy-preserving machine learning (PPML) in the smart healthcare paradigms. To further improve the security of FL, differential privacy (DP) and homomorphic encryption (HE) are mostly integrated into the PPML approaches. This chapter focuses on security enhancements in the area of healthcare with the utilization of FL, DP, and HE. The study discusses recent approaches, trends, and some future research directions in the PPML for efficient services in healthcare. The present investigation included providing an extensive synopsis of the body of literature related to the field of study. The study has shown how to analyze literature from a variety of angles, which will give researchers evidence to develop original solutions in the field.
The Metaverse Marketing Revolution
Authors: Hussain Muhammad Hamdan , Khalil Shahid , Hasan Raza , Khalil Muhammad Khuram
Published: April 2024

A novel approach in digital marketing has been initiated by the emergence of the metaverse, which offers comprehensive and engaging interactions that are revolutionizing the way that businesses communicate with their target audience. This study seeks to investigate and assess how metaverse marketing is improving brand awareness and helping them achieve brand success. The basis is laid by an extensive examination of literature that looks at previous research, market dynamics, and technology developments in virtual worlds. The study employs a mixed method approach to collect reliable data for the research. A survey is conducted among the Middle East College students where 193 individuals participated having information about metaverse revolutionizing digital marketing. The study shows the current impact of metaverse on company's performance and how companies can utilize this technology to outperform the competition. Following structure equation modeling through SmartPLS, results show that there is a positive relationship between direct audience interaction and corporate success.
Exploring the Use of Multimedia in Addressing the Needs of Mixed-Level English Learners in Vietnam
Authors: Nguyen Phuong H.M. , Hoang Tuan Nguyen
Published: April 2024

This chapter presents the background to the study with a particular attention given to the landscape of multimedia-assisted English teaching in Vietnam since the adoption of the innovation reform in 1986. The methodology section describes five case studies that demonstrate how multimedia can be used to engage and support learners at different proficiency levels in the Vietnamese context. Potential challenges and application of cognitive theory of multimedia learning in English teaching practices are discussed. Practical tips for integrating multimedia into teaching practices are also presented. Finally, pedagogical considerations and recommendations for further research are provided.
Factors Affecting the Motivation of Learners Studying English for Specific Purposes
Authors: Vo Le Thi Hong , Nguyen Xuyen Thi , Vo Ly Thi Thanh
Published: April 2024

Learner motivation is a key factor that influences the success and enjoyment of learning a second or foreign language. Learner motivation can influence how learners approach, engage, and persist in learning English, as well as how they use and develop their linguistic and communicative skills. This chapter aims to investigate the learning motivation of learners studying English for specific purposes (ESP) such as business English, and English for information technology at some universities in Ho Chi Minh city. The research has been conducted in two phases and employed quantitative and qualitative methods. Questionnaires and interviews are applied. The obtained data is, then, analyzed using factor analysis, reliability analysis, and correlation analysis. The results show that learner motivation can be influenced by internal factors, such as interest and identity and external factors, such as teaching methods, learning materials and parents' encouragement. This chapter, therefore, will give some recommendations for enhancing learner diversity related to learner motivation.
Analyzing Student Engagement in Teacher Elicitation
Authors: Thanh Trinh Ngoc
Published: April 2024

This chapter highlights the importance of communication strategies to facilitate student's engagement and discusses certain situations where there are negative effects of teacher's elicitation on student's communicative ability. Being termed as retrospective discourse analysis, this chapter re-uses the ten-minute transcription extracted from a 40-minute class observation dated back in September 2011 in an EFL speaking class as a particular case to analyze discourse at the macro-level and micro-level analysis. While the macro-analysis identifies high-frequency word list and examines particular moves from teacher's elicitation and teacher's control in the classroom, the micro-analysis employs Gee (2014)'s tools of inquiry and validity components to analyze the classroom discourse. Findings from this chapter argue that teacher's elicitation plays a key role in managing classroom turn-taking and facilitating student's engagement. Furthermore, direct and short elicitation by the teacher tends to reduce student's engagement in speaking activities.
Twenty-First Century Learning Skills in Vietnamese Higher Education
Authors: Duong Tham M. , Duong My-Tham
Published: April 2024

This study aims to delve into tertiary students' use of 21st century learning skills (4Cs) and explore whether their learning experiences achieved during their learning process had any effects on their 4Cs use. This mixed-methods research involved 204 third-year students majoring in the English language at a private institution in Vietnam. The data were collected from a closed-ended questionnaire and semi-structured interviews. In terms of the 4Cs use, it was shown that the participants employed 4Cs at a high frequency except for the moderate use of the creativity skills. The results also indicated some significant differences between the two cohorts. Specifically, the participants who recognized the merits of learning experiences toward their learning achievements tended to employ collaboration skills more periodically than those with an opposing viewpoint. Another considerable difference in terms of the use of critical thinking skills concerning conducting research perceived by the two groups deserves attention.
The Application of Flipgrid in an EFL Classroom
Authors: Pham Huyen Thi Thanh , Duong Tham M.
Published: April 2024

This chapter aims to investigate non-English majors' attitudes toward the Flipgrid application as an English-speaking learning tool. This study employed a mixed-methods approach, involving the participation of 59 EFL students from a university in Ho Chi Minh City. The instrument utilized in this study was a mixed questionnaire including closed-ended followed by open-ended items. The findings revealed that a significant number of participants held positive attitudes toward the Flipgrid application. Specifically, the majority of users found it easy to use, requiring only one training session to become proficient. The learners perceived Flipgrid as a useful tool for enhancing their confidence in speaking English. Flipgrid allowed the students to assess and reflect on their speaking projects, which can improve self-reflection. As a result, most of the students expressed their intention to utilize Flipgrid as a means to enhance their English-speaking skills in their future courses.
Evaluating the Potential of Artificial Intelligence in Islamic Religious Education
Authors: Abubakari Mussa Saidi , Shafik Wasswa , Hidayatullah Ahmad Fathan
Published: April 2024

Artificial intelligence (AI) has become enormously prominent in various industries in recent years, completely changing the way humans accomplish their daily activities, especially the educational process. While integrating AI technologies in educational settings might present new potential, there are drawbacks and challenges as well, particularly in the Islamic religious educational context. Therefore, the purpose of this chapter is to assess the viability of incorporating AI into Islamic religious educational settings by doing a thorough SWOT (strengths, weaknesses, opportunities, and threats) analysis. The chapter explores the benefits, drawbacks, opportunities, and risks of implementing AI in the context of Islamic education. Thus, the factors, both internal and external, that may have an impact on the effective integration of AI in Islamic educational environments are evaluated. Policymakers, educators, and other educational stakeholders may make well-informed judgments on the utilization of AI technologies in Islamic religious education by recognizing these analytical aspects.
Efficiency Boost and Adoption
Authors: Jangir Kshitiz , Sharma Vikas , Gupta Munish , Grover Priya , Taneja Sanjay
Published: April 2024

Robotic Process Automation is in its nascent stages, where it is still being explored for various business purposes and the functions for which it can be utilized. With the same effect on various processes as that of technology, RPA tends to decrease the monotonous, repetitive work, time, and cost and increase the efficiency by which an organization can work. This study aims to explore the effect of RPA in accounting. The study uses a technology adoption model to determine the factors that play an important role in adopting of robotic process automation in accounting fielding by professional accountants. The study also introduced one new dimension for the adoption of TAM, i.e., the increase in efficiency. The analysis of data was done through PLS-SEM (structural equation modelling). The results show that all the hypotheses were supported. The study could be helpful for managers, organizations, and individuals inthe adoption of technologies in processes like accounting.
Quantifying Influence
Authors: Kalra Dixit , Gupta Medha , Gupta Swati , Singh Harpreet , Agrawal Priyanka
Published: April 2024

The chapter titled “Quantifying Influence: A Bibliometric Analysis of Robo-Advisors in Management” systematically examines the scholarly landscape surrounding the integration of Robo-advisors in management. Employing bibliometric methods, this chapter undertakes a rigorous quantitative assessment of the literature to identify critical trends, influential authors, and emerging research themes within the dynamic realm of Robo-advisory systems. The analysis encompasses a comprehensive review of academic publications, citation patterns, and collaborative networks, offering insights into the evolution of knowledge and the interconnectedness of ideas in the intersection of Robo-advisors and management. By mapping the intellectual structure of the field, the chapter aims to enhance our understanding of the most impactful contributions, shaping the direction of research and guiding future inquiries. Furthermore, the abstract highlights critical focus areas, such as identifying seminal works, evolving research frontiers, and potential gaps in the literature.
The Human-Robot Collaboration Paradox
Authors: Kaur Jaspreet , Singh Kanwar Ajay
Published: April 2024

Robots are expected to play an increasingly important role in the workforce of the future, which will be shaped by the fast shifting global landscape and the rapid pace of technological innovation. The Human-Robot Collaboration Paradox is a condition that arises as a result of the integration of robots into the workforce. Despite the fact that robots have a wide range of advantages, such as improved productivity, precision, and safety, this paradoxical circumstance arises. The fact that robots present a number of opportunities as well as challenges is at the centre of this seeming contradiction. It is vital to take a holistic approach that addresses both the benefits and the obstacles that are offered by the integration of robots in order to successfully navigate the Human-Robot Collaboration Paradox and develop a harmonious working relationship between people and robots.
Financial Advisory Systems as a Tool for Audit Efficiency
Authors: Goyal Yeashika , Kumar Pawan
Published: April 2024

Forensic audits and statutory audits are both used to check the validity of financial statements. In light of this, present research is conducted to study and compare the impact of forensic auditing techniques and statutory auditing techniques' in effectiveness of fraud detection along with the financial advisory system. To meet the research objective, a questionnaire was framed for all three independent variables, that is forensic auditing techniques, statutory audit techniques, and financial advisory system and one dependent variable that is fraud detection. Out of 3, forensic audit techniques was found to be more relevant then statutory auditing techniques and financial advisory system for the purpose of fraud detection. The results of the research have necessary managerial and social implications, which will contribute by providing the road map for developing a concrete mechanism for fraud detection.
Financial Sustainability and the Wellbeing of the Elder Romanian Population Using Pension Modelling
Authors: Florea Nicoleta Valentina , Croitoru Gabriel , Robescu Valentina Ofelia , Florea Daria , Croitoru Mihai Bogdan
Published: April 2024

The system of pensions is a very important part of the society, and due to increased ageing of population, life expectancy, healthy life years, and reduced fertility rate, the financial sustainability will be a global problem in the next future. The goal of this chapter is to analyse the social and economic factors impact on pensions and financial sustainability and propose some measures to improve well-being of elder Romanian population based on technology modelling. Using mathematical modelling, the R square indicated that 99.47% of the evolution of variable pension (Y) is explained by the evolution of social factors (X1-X7) and that 99.98% is explained by the evolution of economic factors (X8-X14). The correlations between variables and covariance are indicating an influence which is affecting the stability of the pension fund and financial sustainability. Using technology modelling, the specialists could find future sustainable solutions for the pension system and to improve well-being for elder Romanian pension population.
Artificial Intelligence and Machine Learning in Drug Discovery
Authors: Shah Pranav , Thakkar Dinesh , Panchal Nikita , Jha Rahul
Published: April 2024

The fusion of artificial intelligence (AI) and machine learning (ML) has reshaped drug discovery, expediting the development of innovative treatments. Initially, AI and ML models pinpoint potential drug targets by analyzing biological data like genomics, proteomics, and metabolomics, accurately predicting protein structures and interactions. These technologies refine lead compounds by forecasting pharmacokinetics and pharmacodynamics, hastening virtual screening and novel drug design for safer candidates. AI platforms optimize preclinical and clinical trials by predicting toxicity, patient categorization, and treatment outcomes, enhancing trial efficiency and cost-effectiveness through data integration. Despite hurdles like data quality and ethical concerns, AI and ML synergies hold immense promise in revolutionizing drug discovery and improving patient care.
Engineering Approaches in Pharmaceutical Research
Authors: Rajnath Yadav KrishnaKumar , Verma Virendra Kumar , Tiwari Shrikant
Published: April 2024

Pharmaceutical research thrives on the synergy between engineering and science, revolutionizing drug discovery, development, and manufacturing. This chapter delves into pivotal methodologies, technologies, and applications shaping this symbiotic relationship. Molecular modeling and computational chemistry steer rational drug design, while high-throughput screening expedites lead compound identification. Bioprocess engineering fine-tunes biologics manufacturing, and nanotechnology introduces groundbreaking drug delivery systems. Continuous manufacturing heightens efficiency, and quality by design and process analytical technology ensure regulatory compliance and product excellence. Smart drug delivery systems revolutionize therapeutic release control. Ethical and regulatory considerations underscore the paramount importance of patient safety and public trust. Looking ahead, collaborative interdisciplinary endeavors will propel pharmaceutical engineering, addressing emerging challenges and elevating patient outcomes.
Vagabonds and Tourists in the Global South
Authors: Korstanje Maximiliano Emanuel
Published: April 2024

In the line of a new century, the question of sustainability and sustainable tourism has been placed in the foreground. This dilemma opens the doors to discuss the current crisis of identity the Western civilization is facing. The “other,” above all the stranger, is seen as an undesired guest, a potential threat to the public order. In this vein, the COVID-19 pandemic has accelerated a stage of moral decomposition mainly marked by hostility against strangers, geopolitical tensions, as well as the crisis of the tourism industry. The present book chapter discussed part of Marc Auge and Zygmunt Bauman´s text to understand the future of tourism in a world without tourists. From different angles, both authors have shed light on the socio-economic effects of global capitalism in daily life.
Balancing Development and Sustainability
Authors: Tewari Veena , Morande Swapnil , Mishra Amitabh , Amini Mitra , Gul Kanwal , Vali Shaik Mastan
Published: April 2024

Forecasting future trends in tourism growth is imperative for sustainability planning, yet highly complex due to the sector's multifaceted nature. This study leverages machine learning techniques to develop an integrated model predicting foreign tourist arrivals to India. Utilizing 2000-2022 data encompassing tourist statistics alongside relevant socioeconomic indicators, advanced algorithms like XGBoost uncover key drivers and relationships to generate strategic long-range forecasts. The multilayered analysis reveals tourism infrastructure investments strongly stimulate arrivals, underscoring policy priorities. However, skills training expenditures exhibit a more nuanced linkage, indicating localized needs. Beyond forecasting accuracy, the research makes significant methodological contributions regarding multivariate input features and model robustness for tourism ecosystems. It advocates systems thinking-based approaches over reductionist modeling of isolated past arrivals, given tourism's interdependence with broader socioeconomics.
Sustaining Competing Hotels
Authors: Sa Liow Melissa Li , Subramaniam S. Salitha Nair D. O. M.
Published: April 2024

This book chapter explores the imperative for hotels to fully embrace sustainable competitive advantage principles through the integration of green human resource management (HRM), digital transformation, blockchain, and organisational learning. The interdisciplinary approach is backed by an extensive literature review, emphasising the significance of green practices and organisational behaviour for the development of sustainable and responsible hospitality facilities. It uncovers literature evidence linking social identity and social exchange antecedents to green organisational citizenship behaviour and deepens the theoretical integration of these concepts within hotel environmental perspectives. While some research touches on the direct relationship of Green HRM, green transformational leadership, as well as green organisational identity with green organisational citizenship behaviour, the underlying mechanisms influencing the implementation of sustainable supply chain management strategies by hotels and their sustainable competitive advantage is explored in this book chapter.
Green Energy Supply Analysis to Sustainable Inland Water Tourism Regions in Eco-Friendly Cities
Authors: Prasad Dharmbir , Singh Rudra Pratap , Mahata Sneha , Roy Ranadip
Published: April 2024

In an era where environmental issues have become a major concern and most of the sectors are focusing on sustainability, the tourism industry, which is a significant contributor to a country's economic development, is facing criticism. This chapter deals with power generation using renewable energy for sustainability in tourist hotels and resorts. It focuses on the power that can be produced by utilizing the natural resources available in a particular area, i.e., renewable energy, and supplying that power to the nearby hotels and resorts. Renewable energy is often called green energy because it is obtained from nature and is replenished within a short period of time. The hotels and resorts there are concerned in making it a carbon neutral village. So a power plant can be developed in Kochi, which is approximately 48 km away from the village, using HOMER pro software taking wind and solar energy as the primary sources for generation of electricity which can be supplied there through grid to the resorts and hotels.
Sustainable Tourism's Tomorrow
Authors: Khalid Md. Saifullah
Published: April 2024

This chapter explores the symbiotic relationship between technology innovation and sustainable tourism. It elucidates the indispensable roles of data analytics, artificial intelligence, and information technology, showcasing their applications in IoT and smart destination technologies. Furthermore, it examines the transparency benefits of blockchain, and the immersive experiences offered by AR, VR, and big data predictive analytics. Ethical considerations are thoroughly examined, emphasizing the importance of responsible innovation. Forecasts predict that big data analytics, digital solutions, and smart technology will profoundly influence the future of tourism. Recommendations are provided for stakeholders to prioritize sustainability, address privacy concerns, bridge the digital divide, and invest in green technologies. Collaboration among stakeholders is underscored as essential for the industry's responsible evolution, advocating for an integrated approach that combines technology with traditional sustainable practices.
University Training in Tourism for People With Intellectual Disabilities From an EDI Perspective as an Engine for Inclusion
Authors: Rodal Breixo Martins , Doval Ruiz María Isabel , Rodríguez-Pallas Ángel
Published: April 2024

This research analyses the structure of university training offerings for individuals with intellectual disabilities within the Spanish university system. The Spanish territory will be used as a case study due to its tourism strength, as well as the historical ramification of the sector in higher education. Multiple studies on inclusion and tourism have been conducted so far but without a detailed analysis of university training offerings for groups with disabilities. Additionally, a novel research variant is introduced, focusing on the analysis of intellectual disabilities, a group that was marginalized in universities until a few years ago, and within this, the EDI (equity, disability, inclusion) perspective. A compilation and analysis of university offerings oriented towards the tourism sector for this group, the involvement of the private sector and the role of inclusion institutions will be carried out. The research will utilize quantitative and qualitative techniques, including semi-structured interviews with key stakeholders.
Sustainable Alternatives in Rural Wellness
Authors: Klakočar Tatjana , Pavić Lazar
Published: April 2024

This chapter discusses sustainable alternatives in agrotourism using examples of good practice on tourist farms in Slovenia. Through a literature review, the authors examine the concepts related to sustainable alternatives in rural tourism and provide an overview of agrotourism in Slovenia during 2022–2023. The empirical research provides a broader summary of the field observation research. It reveals that wellness offerings are present on the observed tourism farms with accommodation and have the potential for agrowellness development. Additionally, the authors conducted semi-structured interviews on four tourist farms to determine the awareness level of the owners about sustainable agrowellness offer and its importance for sustainable rural development. These results provide an opportunity for further research in the context of the tourist's perspective on agrowellness offerings and the local population's awareness regarding sustainable rural wellness alternatives.
Understanding Sustainable Tourist Behaviour Through a Critical Perspective of Motivation, Personality, Attitude, and Environment
Authors: Kumar Abhinayu , Singh Sujay Vikram , Singh Kuldeep
Published: April 2024

This study utilises the findings of prominent researchers to examine a critical viewpoint of tourist behaviour (T.B.) through an analysis of different constructs, theories, and models primarily focused on four socio-psychological constructs: motivation, personality, attitude, and environment. The results demonstrate the significance of socio-psychological frameworks in the management of travel itineraries. The comprehension of visitors' conduct is a complex undertaking due to its dynamic characteristics and its continual susceptibility to several social and psychological dimensions, such as perception, motivation, personality, and environment. The practical implications of this study center around need for destination managers, businesses, and policymakers to re-evaluate their strategies and prioritise responsible, inclusive, and sustainable tourism practices that are consistent with the key perspectives on motivation, personality, attitude, and environment.
An Empirical Investigation Into the Effect of Lodging Establishment Attributes on Water Conservation Efforts in Zimbabwe
Authors: Sucheran Reshma , Ushamba Kudzai Norman
Published: April 2024

Water conservation is a global concern, particularly in regions like Zimbabwe grappling with water scarcity. The hospitality industry is pivotal in sustainable water management with its diverse lodging establishments. This research examines the effect of lodging establishment features on water conservation efforts in Zimbabwe. Based on survey responses from 203 lodging facilities, the empirical investigation reveals significant associations between various lodging facility attributes and water conservation practices. Established lodging businesses demonstrate a propensity for standardised water sustainability initiatives, while higher-graded establishments focus on more advanced practices. The study also reveals that newer lodging facilities are more likely to embrace advanced water conservation methods due to accessibility to technological advancements. The findings contribute valuable insights into the dynamics influencing water conservation practices within the lodging sector seeking to address sustainability challenges.
Experiential Tourism in India and Its Journey Towards Sustainable Development
Authors: Singh Natasha , Singh Utkarsh Nawal Kishor , Indapurkar Kavita
Published: April 2024

The purpose of this study is to examine how the tourist industry, with a special emphasis on experiential tourism, can help India achieve its sustainable development goals. This study analyses the factors that most affect a tourist's motivation to travel. Both demographic and destination preference characteristics were taken into account. An empirical analysis was conducted using 130 reliable surveys among the Indian population following a thorough review of the literature. In order to ascertain the link between the variables, an equation model was created. The findings illustrated the significance of destination preference and demographic factors in influencing a person's decision to travel. With an R Square value of 0.331, these independent factors were able to explain 33% of the variation in travel motivation. The study's findings can also be utilized by the authorities to create or alter the best plans of action that affect tourism's sustainability.
Neuroleadership and Effective Communication
Authors: Kaushal Preeti , Kaur Navreet , Kohli Navgeet
Published: April 2024

To enhance better understanding of effective communication and the role of a leader, a field that combines both neuroscience and leadership is studied. This chapter will include meaningful insights from neuroscience and its valuable contribution to improve communication of the leaders with their teams. This will include aspects like emotions and communication, active listening and nurturing psychologically secure environments for making open dialogues. An understanding of how our brain works during social and formal interactions can make leaders better communicators and lead to a healthy organizational environment. Study of neuroleadership can help build upon the strategies to make leaders augment their communication skills. Several aspects of neuroscience will be further studied in this chapter. The aspects like brain processing mirror neurons, brain attention capacity, role of prefrontal cortex and emotions, how trust and oxytocin are related, importance of storytelling, benefits of feedback loops, and how to minimize the cognitive load. Understanding of these aspects along with empathy can help create organizations' comprehensive and collaborative work environments.
Challenges and Opportunities of Learning Management System Integration From a Zimbabwean University Perspective
Authors: Chasokela Doris , Shava George Nervous , Mpofu Sibongile
Published: April 2024

This chapter examines the challenges and opportunities associated with the integration of implementing learning management systems (LMS) at a Zimbabwean university. It provides a brief overview of the current state of LMS integration in the country and highlights some of the challenges that have been faced, such as limited technical expertise and poor internet connectivity. It then goes on to discuss the benefits of LMS integration, including improved learning outcomes, enhanced student engagement, and increased access to educational resources. The chapter is based on case studies of universities that have recently implemented an LMS and explores the experiences of students, faculty, and administrators. The chapter found that the LMS was seen as a valuable tool for improving teaching and learning, but it also presented challenges related to technical issues, user training, and institutional culture.
Cyber-Physical Systems for Enhancing Smart and Digital Learning and Education
Authors: Chatterjee Ritam , Bandyopadhyay Abhijit , Das Nilanjan , Chowdhury Sarmistha , Hoque Mahabubul
Published: April 2024

Education system is continuously changing with the use of digital education technologies. The use of different basic and emerging technologies plays a vital role in education system. The technologies help to implement different devices which are helpful in both on campus base face to face mode of education as well as online best digital education. Cyber-Physical system is one of the emerging technologies that are useful in digital education. Cyber-Physical system technology can play an important role in future education that is based on digital education. In this chapter, different technologies used to implement in cyber-physical system has been discussed. The advantages and the challenges of using cyber-physical system in education have also been discussed. The chapter also discussed the utilization of Cyber-Physical-System for enhancing smart and digital learning and education. Different technologies used to achieve the cyber-physical system based Education 4.0 has been discussed also.
Developing Improvement Strategies of Ethiopian Innovative Indigenous Knowledge for UIL Enhancement
Authors: Sileyew Kassu Jilcha , Dadi Gezaheng Tesfaye , Balcha Biniyam Bekele
Published: April 2024

The indigenous knowledge has a great contribution for the modern development of knowledge. The objective of this chapter is to highlight the indigenous knowledge contribution toward University Industry Linkage (UIL) enhancement and development of strategy. The approaches used to prepare this chapter is based on collection of data from the existing literature and observation of the current scenario in Ethiopia. In general, the chapter focuses on the strategic and indigenous knowledge contribution toward the industry and university collaboration enhancement. Indigenous knowledge importance for the modern education system and development has been given less value. Ethiopian indigenous knowledge is overwhelmed by the western modern knowledge, and we are losing the indigenous knowledge which played big role in educational systems. However, this indigenous knowledge system importance is undermined in the role of UIL enhancement.
Diversity and Inclusion in Higher Education
Authors: Samuel Humphrey Sam , Etim Emmanuel Edet , Shinggu John Paul , Nweke-Maraizu Ugo , Bako Bulus
Published: April 2024

The landscape of higher education is undergoing a profound transformation marked by a growing recognition of the pivotal role diversity and inclusion play in fostering academic excellence and societal progress. The exploration begins by unraveling the conceptual intricacies of diversity and inclusion. It delves into the varied dimensions of diversity, encompassing race, gender, socio-economic status, and other intersecting identities, underscoring the necessity of embracing a holistic approach to inclusivity. The chapter navigates through the challenges faced by minority students, highlighting the importance of representation, equitable access to resources, and targeted support systems and strategies to address these challenges. It articulates the pivotal role of inclusive pedagogy, and technological integration in shaping accessible and engaging learning environments. Moving forward, the chapter probes emerging trends and future directions and underscores the significance of intersectionality, technology, and globalization as foundational pillars for sustained progress.
Predictors of Student Reenrollment and Graduation During the COVID-19 Pandemic
Authors: Wutchiett David , Logue A. W.
Published: April 2024

The COVID-19 pandemic decreased college enrollment and disrupted academic progress, particularly among disadvantaged students and institutions. Just before the start of the pandemic in spring 2020, 31,511 undergraduate students attending colleges of The City University of New York responded to a survey detailing their circumstances. Lasso regression followed by mixed-effects logistic regression modeling were used to identify predictors of (1) fall 2020 reenrollment, (2) associate's-degree graduation or transfer to a bachelor's-degree program by associate's-degree students by fall 2022, and (3) graduation with a bachelor's-degree by bachelor's-degree students by fall 2022. Part-time status, food insecurity, gender, and major predicted reenrollment and graduation or transfer. Belonging, friendships, and extracurricular involvement predicted fall 2020 reenrollment. Race/ethnicity and ASAP program involvement predicted associate's-degree graduation or transfer. These findings can assist institutions in targeting effective interventions for helping students faced with external challenges.
Talent Management Practices in Saudi Universities During the Post-Pandemic Renaissance
Authors: Subbarayalu Arun Vijay , Al Kuwaiti Ahmed , Al-Muhanna Fahad A.
Published: April 2024

The Saudi government has prioritized developing the skills of its citizens, as one of the main objectives of Saudi Vision 2030 is to ensure that citizens have the necessary skills to compete globally. Despite these efforts, the COVID-19 pandemic presents significant challenges in managing and retaining talent to meet labor market demands. This chapter of the book describes the talent management practices adopted in Saudi universities during the post-pandemic renaissance. A mixed-methods design was chosen in which primary data was collected through surveys. 57% of employees felt that TM practices were adopted at their universities to meet skills needs effectively during the post-pandemic renaissance. TM challenges include a lack of motivation to attract talent, strategic misalignment between HR and the organization, lack of understanding of the importance of TM, lack of commitment to employee development, and ineffective performance management. Although it is an emerging issue in Saudi Arabia, universities are striving to improve the effectiveness and efficiency of their workforce.
Winging scapula with a lesion in the spinal accessory nerve
Authors: Jayaweera R. R. , Pathirana K. D.
Published: April 2024

No abstract available
Anaphylaxis management; need for a broader approach
Authors: Goonesinghe Satish K. , Waidyarathne Eisha I.
Published: April 2024

No abstract available