bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Quality Assurance Agencies Standards and Process in Higher Education
Authors: Magd Hesham , Ansari Mohammad Sultan , Negi Saurav
Published: April 2024

The motto of any organization is to produce products or services at reasonable cost and meet and exceed customers' expected quality for value for money. The standard thing or advantage is self-evident and commendable quality to their clients that's worth regard to cash. At the same time, monitoring competitors' quality and further improving quality standards is necessary. The gathering and outperforming customers' expected quality will fulfil needs and customer retention. The comparative investigation of quality affirmation allows organizations to benchmark the HEIs within the region and the GCC for accomplishing quality confirmation and compliance. The country's future depends on exceedingly taught, prepared knowledge seeker with nonstop accentuation on building human capital. Quality within the scholarly segment, the noteworthiness of quality affirmation, and forms of quality affirmation with HEIs are explored.
International Faculty as a Means to Promote Internationalization of an Educational Institution
Authors: Bystrov Ilya , Hashim Mohamed Wahish , Kumar Vijayesh
Published: April 2024

This chapter is dedicated to how expatriate instructors can contribute to the internationalization of educational institutions, which is one of the key points in global accreditation standards. Firstly, expatriate instructors are defined as a cultural group, then the directions for the possible contribution of expatriate instructors to the achievement of international standards are discussed, and other areas where they can contribute to the development of an educational institution are specified. The chapter concludes with the benefits and challenges of becoming an expatriate instructor and a profile of an average expatriate instructor working in Oman. Overall, their role in the internationalization of an educational institution is evaluated positively.
Navigating Excellence
Authors: Khan Noor Alam , Maqbool Adeel
Published: April 2024

Evaluating global accreditation standards for higher education focuses on the procedure and mechanism of the accreditation process in higher education worldwide and offers broad frameworks and models for the process of accreditation and evaluation for the higher educational system. This chapter will discuss the various categories used to classify international accrediting bodies to help programs adhere to high standards for instruction. In addition to defining the organizations that will assess the requirements and standards for accreditation in higher education, this chapter will discuss the opportunities and difficulties associated with obtaining certification. Universities wishing to become accredited both nationally and internationally can refer to the principles and examples in this chapter.
Significance of Capacity Building Through Professional Development Programs
Authors: Ansari Mohammad Sultan Ahmad , Jonathan Henry
Published: April 2024

Higher education institutions (HEIs) accreditation is pivotal for developing quality of education. The HEIs need to evaluate their readiness and ability for accreditation with the respective institution. HEIs shall take leading role in academic publications, teaching quality, and contribution to conferences for capability building. It can develop a comprehensive understanding so that policymakers to enhance quality and effectiveness of higher education. Capacity building initiatives in HEIs, such as faculty development programs, curriculum enhancements, or quality assurance mechanisms can support development. It was observed that the most significant improvements can develop institutions in resource allocation within the constraint and program development.
Global Trends in Media Education Accreditation and Employability
Authors: Lal Ruhi , Baidya Radhika , Ganjoo Maithili
Published: April 2024

This study delves into the field of media education, highlighting the importance of accreditation in maintaining programme relevance and employability. It explores worldwide trends in accreditation and evaluates how they affect the employability of media graduates. The study analysed its impact on job prospects, and the challenges and opportunities that come with accreditation's dynamic nature. Focusing on digital integration, the study discusses the importance of technological skills and curriculum adjustments to prepare graduates for the media industry. Case study development and multi-case analysis have been used as qualitative data analysis techniques. Interpretations have been created by assessing, organising, classifying, coding, and modifying the raw data. The case study highlights the significance of flexible accreditation criteria and strategic adjustments, acknowledging skills that improve job opportunities. The study concludes the rise in global education accreditation, meets industry needs, and highlights the importance of a flexible and efficient education system.
Applications of the Saffron European Kitchen Spice Crocus sativus
Authors: Korrapati Chandana , Yaraladdi Amaramma B. , Vaddi Harika , Raghavan Ramya
Published: April 2024

Saffron, is derived from the dried stigmas of flowers of Crocus sativus plant, belonging to the Iridaceae family. It has been used for centuries as a spice for its colour, flavour and aroma. Saffron, the world's most expensive spice, is renowned for its culinary and medicinal properties. Crocin, crocetin, safranal, and picrocrocin are bioactive compounds from saffron that impart antioxidant and anti-inflammatory properties. Human clinical trials have reported saffron's therapeutic value as antioxidant, anti-inflammatory, anti-apoptotic, neuroprotective, and antidepressant. Saffron, is shown beneficial in pain relief, age-related macular degeneration cardiovascular diseases, cancer, Alzheimer's disease and neurodegenerative disorders. This book chapter will provide details on saffron and research on its therapeutic applications.
Beyond Binary Minds
Authors: Devaki V.
Published: April 2024

In an era marked by rapid AI evolution, this chapter explores the interplay between digital and human consciousness. It compares computational models of digital consciousness with historical philosophical perspectives, examining shared cognitive processes and ethical considerations. The study delves into the ethical implications of creating conscious digital entities and raises unresolved questions for further inquiry. By considering societal impact and ethical ramifications, it prompts reflection on the responsibility inherent in the technological pursuit of consciousness. This chapter seeks to unravel complexities, challenge preconceptions, and guide discourse on the coexistence of digital and human consciousness in an interconnected world.
Psychological Views on Digital Consciousness and Human Consciousness
Authors: Panda Dibyashree , Kachhi Zidan
Published: April 2024

This chapter explores the connection between human and computer consciousness, considering the implications of their separation in the context of advancing artificial intelligence. It examines psychological perspectives on human and digital consciousness, highlighting differences in perception and emotional intelligence. The subjectivity and objectivity of human and computer awareness are also explored, along with the significance of innovation and creativity. Bridging the gap between human and computer consciousness enhances human-machine interaction and the design of AI systems, while addressing moral implications promotes ethical AI development. The chapter delves into philosophical debates on consciousness, mind, identity, and the distinctions between humans and machines, ultimately aiming to deepen our understanding and foster dialogue on AI.
The Impact of Social Media Addiction on Mental Health and Well-Being
Authors: Yusuf Shaheen , Kachhi Zidan
Published: April 2024

One of the most important aspects of modern living is the use of social media platforms to link people globally and facilitate the sharing of ideas, knowledge, and experiences. While social media networks offer numerous benefits, they have also played a role in the alarming trend of social media addiction. This chapter examines the serious consequences that social media addiction has on mental health and overall well-being. The intention is to improve our understanding of this current crisis by highlighting the various ways that excessive use of social media may affect people's psychological and emotional well-being. People increasingly regularly engage with their online networks at the expense of their offline lives due to the extensive use of social media and the allure of constant notifications, likes, and shares.
The Impact of Corporate Governance on Managerial Effectiveness and Stress Mitigation
Authors: Kumai Abha , Mishra Nidhi , Patro Archana
Published: April 2024

This chapter introduces a theoretical framework for understanding how corporate governance impacts managerial effectiveness and stress mitigation by taking the mediating role of the capacity of mindfulness to enhance the overall efficacy of the organization. Existing literature talks about how governance structure impacts organisational and managerial performance and stress, but they are missing the underlying processes that link effective governance practices to improved performance and reduced stress; this framework provides the lens for analysing this process. By offering a more nuanced understanding, this framework will help improve the organisation's overall result by taking care of managers' well-being by reducing their stress and increasing their performance.
Enhancing Engagement With Personalized Recommendations With AI-Powered Recommender Systems
Authors: Hondoma Thanks
Published: April 2024

The study investigates the profound impact of personalized recommendations on user engagement within digital platforms, emphasizing the crucial role of algorithmic accuracy and contextual factors. The findings reveal that tailored recommendations significantly enhance user satisfaction and platform engagement by aligning with individual preferences. The study underscores the necessity of addressing algorithmic challenges, including filter bubbles and prediction precision, to maintain user trust. Contextual factors, such as user behavior and time, are identified as dynamic variables shaping recommendation effectiveness. Recommendations include continuous monitoring, user feedback loops, and exploring hybrid models to optimize recommender systems. However, limitations related to data privacy, algorithmic bias, system scalability, and generalizability are acknowledged. Suggestions for future research encompass cross-cultural considerations, real-time adaptation, novel algorithmic approaches, ethical dimensions, and investigating long-term user engagement impacts.
Exploring the Relationship Between CRM Tools, AI, and Big Data
Authors: Tavares Mariana Carapêto , Anastácio Inês de Jesus , Leandro Alexandra , Mendes Bacalhau Lara , Sousa Bruno Barbosa
Published: April 2024

In an increasingly digital and competitive world, CRM, Social CRM, AI and Big Data have become true allies for organizations that want to stand out. These technologies not only make it possible to better understand and anticipate customer behaviour and needs, but also enable personalization, enhancing interaction and the relationship with the consumer in a unique way. In addition, large-scale data collection, storage, processing, and analysis provide powerful insights, enabling organizations to make more informed and assertive decisions. Understanding the data collected, coupled with a customer-centric approach, can lead to competitive advantage and improved performance. In this way, business performance success is addressed. Having as relevant factors: boosting the relationship with customers, strengthening the organization's position in the market, and achieving better results. CRM enhances the capability to earn customers loyalty, maximizing the potential of business. CRM can be the key-element to building lasting relationships with customers and the success of the organization.
Forecasting Demand Using Recurrent Neural Networks (RNN)
Authors: Hondoma Thanks
Published: April 2024

This study explores the pervasive role of recurrent neural networks (RNNs) in demand forecasting, emphasizing their adaptability across diverse industries. Drawing on comprehensive reviews by Johnson and methodological advancements outlined by Brownlee, the research validates RNN effectiveness beyond sector-specific applications. Brownlee's practical guidance facilitates seamless RNN integration, benefiting both researchers and practitioners. Findings underscore the need for continuous monitoring, ethical considerations, and interdisciplinary collaboration. Acknowledging limitations, including data quality and interpretability challenges, informs recommendations for optimal RNN use. The study suggests avenues for further research, addressing hyperparameter optimization, ethical implications, industry-specific variations, and real-time applications. This research contributes to advancing demand forecasting methodologies, highlighting RNNs as versatile tools with broad implications across industries.
Machine Learning and Sentiment Analysis
Authors: Ananth kumar T. , J. Zaafira , Kanimozhi P. , R. Rajmohan , Ananth Christo , Ajagbe Sunday Adeola
Published: April 2024

Customer feedback shapes businesses and improves customer experiences in the age of advanced technology and interconnectedness. This study uses machine learning in sentiment analysis to gain customer feedback insights. An efficient and automated method to analyze large volumes of customer comments, reviews, and opinions will help businesses make data-driven decisions. The study begins with sentiment analysis, machine learning, and natural language processing theory. Lexicon-based, machine learning classifier, and deep learning sentiment analysis methods are compared for customer feedback data handling. Next, a large dataset of customer feedback samples from online sources, social media, and review sites is collected. Preprocessing the data handles noise, missing values, and feature extraction to make it suitable for machine learning algorithms. The experimental phase uses several cutting-edge machine learning models to analyze customer feedback sentiment. The proposed work also examines ensemble and transfer learning methods to improve model performance.
Redesigning Consumer Engagement Through Metaverse Strategies
Authors: Dube Mercy , Tshuma Sinothando
Published: April 2024

The convergence of emerging technologies, namely blockchain and Web 3.0, has paved the way for a transformative shift in consumer engagement strategies within the metaverse. As the metaverse evolves into a multifaceted digital universe where users interact with immersive environments and virtual entities, businesses are exploring innovative approaches to captivate and retain their audiences. This chapter explores the integration of blockchain and Web 3.0 technologies as pivotal elements in reshaping consumer engagement dynamics within the metaverse. The combination of blockchain and Web 3.0 not only addresses trust and privacy concerns but also opens new avenues for innovative marketing strategies. Brands can leverage decentralized ecosystems to engage consumers through tokenized incentives, loyalty programs, and immersive experiences. Virtual reality (VR) and augmented reality (AR) technologies further enhance user engagement, providing a seamless bridge between the physical and virtual realms.
Security and Privacy Challenges in Digital Marketing
Authors: Tshuma Sinothando , Masengu Reason , Dube Mercy
Published: April 2024

The global accessibility of information has led to numerous security and privacy challenges in digital marketing, which may outweigh the potential benefits. The effectiveness of any digital marketing strategy depends on the ability of marketers to handle security and privacy issues in cyberspace. Consumers are increasingly concerned about the security and privacy of their personal data during digital transactions, which has damaged company-customer relationships. In this chapter, a literature review of existing research on security and privacy in digital marketing is conducted to gather data on the challenges faced by practitioners and organizations. The chapter provides practical strategies and best practices for addressing these challenges and offers insights into future trends and developments in the field. The proposed chapter aims to help digital marketing practitioners and organizations build trust and loyalty with consumers by providing a comprehensive understanding of the current state of security and privacy in digital marketing.
Utilising Big Data Analytics for Enhancing Retail Sales Forecasting and Supply Chain Management
Authors: Mavutha Winiswa , Buthelezi Makhosazane , Mabotja Tshepo Phuti
Published: April 2024

Retail sales forecasting is challenging for demand planners, thus it's important to understand product and store predictions. Forecasts help establish a strategy to incorporate demand signals and start upstream supply chain actions. Retailers often have unique strategic orientations and managerial decision-making processes. Autonomy in demand forecasting can lead to biases and errors, especially when store promotional efforts are poorly communicated. Poor retail sales forecasting strains the distribution system, requiring an evaluation of infrastructure, automation, transportation capacity, and manpower. In a changing economy and technological advances, merchants must use new data to stay competitive. This chapter provides a big data analytics platform for manufacturers, distributors, retailers, and third-party logistics providers. The system will simplify supply chain management automated operating cost evaluation and optimization between distribution facilities and retailers.
The Use of AI by EFL Teachers to Address Individual Differences
Authors: Dehghan Farzaneh
Published: April 2024

With the development of the advanced forms of artificial intelligence (AI) such as intelligent tutoring systems (ITSs), ChatGPT, and large language models (LLMs), education, including foreign language education, has witnessed an upheaval of interests, discussions, and practices in how these new forms of development can be utilized in favor of both learners and teachers. The present chapter has examined some real experiences of EFL teachers in using an advanced of AI, i.e. ChatGPT in helping learners with particular individual differences. Interviews and journals were used to gather data. The results indicated that the teacher participants used ChatGPT to address intrinsic/extrinsic motivations, introversion, age, autonomy, communicative and learning strategies and emotions and feelings. AI worked as an assistant to teachers and AI-generated solutions, content and exercises were helpful to teachers to take care of individual differences in leaners, which would have been otherwise a laborious or even impossible task for teachers due to lack of enough time and energy.
Meeting the Needs of Diverse ESL Classrooms
Authors: Zareva Alla , Watson Silvana M. R.
Published: April 2024

The focus of this chapter is threefold: 1) To report on the effectiveness of a professional development program offered to elementary school educators to work effectively with diverse ELs; 2) to present the results from a pre-professional development survey which helped identify specific aspects of working with diverse ELs in immediate need of professional development; and 3) to discuss the wider implications of our findings and recommendations for teacher preparation programs. The chapter reports on three main areas of a year-long professional development training provided to teams of in-service elementary school teachers, school administrators, and other specialists (N=60) in the Commonwealth of Virginia, USA. The results are based on a comparison between the participants' pre- and post-professional development surveys. The data were analyzed quantitatively and revealed significant gains along all aspects (N=44) of the educators' knowledge of working with ELs with diverse learning needs. We also identified specific areas in need of immediate professional development support.
Teaching English to Very Young Learners
Authors: Murashkina Alexandra , Alvarez-Morera Georgina
Published: April 2024

The aim of this study is to investigate the current perceptions of English as a foreign language (EFL) teacher to very young learners in two contexts: Russia and Spain. Despite the increase of EFL teaching in early childhood, there is a gap in understanding the needs and concerns of EFL teachers to very young learners. An online distributed questionnaire was designed to collect data from 49 teachers from Spain and Russia. The findings show that most perceptions are shared between teachers of both countries. Among other methodologies, the participants highlight games and other play-oriented tasks, as well as the usefulness of the L1 for the students. Also, the results reveal that teachers face multiple challenges: lack of time, appropriate teaching materials for very young learners, pressure to complete the syllabus, and heterogeneity. In sum, the beliefs and concerns of teachers of EFL to very young learners are common across borders.
Culturally Responsive Pedagogy in EFL Classrooms
Authors: Monyai Reginald Botshabeng
Published: April 2024

This study aims to investigate the implementation of culturally responsive pedagogy (CRP) inside English as a foreign language (EFL) classrooms in South Africa. The study places particular emphasis on the utilisation of nuanced tactics to effectively address the diverse needs of learners. It emphasises the significance of CRP in the integration of linguistic, cultural, and socio-economic perspectives. The present study promotes the use of collaborative reading and writing projects as a means to improve outcomes in English language acquisition.
Leveraging the Mother Tongue in Multifaceted English Language Education
Authors: Moshaba Patricia Ouma Nomsa
Published: April 2024

In English education, the significance of a learner's mother tongue is often a complex and underestimated factor. This chapter explores the multifaceted influence of integrating and using a learner's mother tongue in learning English. The article extensively explores the advantages of using your mother tongue as a bridge to learning English, highlighting its role in improving understanding, promoting cultural consciousness, and improving overall linguistic competence. This discussion focuses on the importance of culturally relevant material, using familiar linguistic elements for learning facilitation and promoting a sense of identity and pride in linguistic heritage. With the primary objective of fostering more effective and inclusive learning environments, this chapter aims to advocate a balanced and strategic integration of the mother tongue into English-language education. This will be achieved by examining various methodologies and practical applications.
AI in Educational Design and Technological Development
Authors: Edam Salaheldin M. I.
Published: April 2024

Artificial intelligence (AI) has both benefits and challenges in education. AI can customize learning experiences, enhance teaching methods, and foster equal opportunities in education. However, ethical implications and potential biases linked to AI-generated data are concerns. AI-driven tools like adaptive learning systems and intelligent tutoring systems have the potential to revolutionize education. The chapter explores a range of AI-driven tools and systems, including natural language processing. The ethical implications and potential biases linked to AI-generated data are thoroughly analyzed. Suggestions on how to responsibly incorporate AI into the field of education are offered. The utilization of AI has been discovered to enhance learning experiences and address the disparity in educational opportunities, ultimately resulting in a more inclusive and equitable education system. The development of AI curricula for various educational levels is also a key area of focus to ensure that the potential of AI in education is realized in an inclusive and responsible manner.
AI Technologies in Engineering Education
Authors: Saeed Mamoon M. A. , Saeed Rashid A. , Ahmed Zeinab E. , Gaid AbdulGuddoos S. A. , Mokhtar Rania A.
Published: April 2024

The chapter investigates how artificial intelligence (AI) technologies are incorporated into engineering education and looks at how they affect methods of instruction and learning. An overview of the many uses of AI in engineering education is given, including data analytics, intelligent tutoring systems, adaptive learning platforms, virtual laboratories, and robotics training made possible by AI. The chapter explores how AI may improve the engineering curriculum by addressing market demands and future skills, integrating AI tools and software, and introducing AI concepts into coursework. It also discusses performance monitoring, intelligent feedback, automated grading, competency assessment in engineering education, and AI-assisted assessment and feedback systems. The chapter also looks at how AI affects engineering education, including using augmented and virtual reality, flipped classrooms, personalized learning, and collaborative learning.
AI-Enhanced Education
Authors: Ahmed Zeinab E. , Hashim Aisha Hassan Abdalla , Saeed Rashid A. , Saeed Mamoon M. A.
Published: April 2024

This chapter explores the symbiotic relationship between AI and education, highlighting its transformative impact and potential to bridge educational disparities. It provides insights into using AI to create engaging and efficient learning environments, covering various topics such as AI-driven teaching techniques, ethical considerations, and case studies. AI tools enhance learning experiences and help address disparities among students. The integration of AI in education can optimize resources, personalize learning, and improve academic performance. However, challenges such as lack of familiarity and technical difficulties need to be addressed through training and support for teachers. By embracing AI, educators can revolutionize teaching methods and promote equity and inclusivity in education.
Artificial Intelligence's Role and Future Implementation in Education
Authors: Bhardwaj Komal , Garima  , Sudan Sachin
Published: April 2024

Artificial intelligence (AI) has become a disruptive force that has greatly benefited education, which is a vital aspect for both society evolution and personal growth. The purpose of this study is to analyze the multifaceted impact of AI in education and on the application and impact of AI learning, instruction, and administration. AI is the study and creation of computers, machines, and other artifacts with human like cognitive capacities, learning, and adaptability and decision-making capabilities. The objectives of this chapter are to present a comprehensive outline in addition to a more in-depth analysis of three main elements: roles, consequences, and future implications. The study also states the emergence of AI-enabled individualized learning, offers universal access to high-quality education at all levels by offering exciting new opportunities and applications. AI systems can successfully identify and rectify skill gaps, allowing individuals to adapt to shifting jobs and advancements in technology.
Preparing Students for an AI-Enhanced Future
Authors: Gobara Rawya Elmahi Gobara Elmahi , Ahmed Zeinab E.
Published: April 2024

In this regard, the purpose of this study is to examine artificial intelligence and its impact on technology, the future of students, and education. It can be said that education is one of the most important areas that will be affected sooner or later by the development of technology, especially artificial intelligence techniques. This impact naturally has both positive and negative aspects, so how can we benefit from it? This chapter discusses the most important potential applications of artificial intelligence that can be used in the educational process. It explains to them the positive and negative impact of technology on education, clarifies the strengths and weaknesses, and shows how to benefit from these points. It also helps them develop critical thinking skills, enhances creativity and development, and encourages them to experiment with tools.
The Impact and Future of AI-Enhanced Teaching Methods in the Use of Business Simulations
Authors: Martins Hélder Fanha
Published: April 2024

This chapter examines the transformative role of AI-enhanced teaching methods in business simulation studies. With a focus on the integration of AI in education, it highlights a paradigm shift towards more dynamic, personalized, and effective learning environments. The chapter delves into the implications of AI in enhancing decision-making knowledge, student engagement, and learning outcomes, aligning educational practices with future business leadership and management needs. It underscores AI's role in fostering a practice-oriented approach, enhancing teaching processes and creating personalized learning experiences. Furthermore, the chapter explores the impact of AI on teaching and learning in business education, emphasizing the need for educators to adapt and leverage AI tools to augment pedagogical approaches and improve student outcomes. As AI reshapes the educational landscape, the chapter calls for a collaborative approach among technology developers, educators, and policymakers to integrate AI tools effectively and ethically into educational frameworks.
Robo-Advisor Adoption Dynamics With Extended Technology Acceptance Model
Authors: Arora Nilesh , Rana Sudhir , Amin Rubel , Tat Huam Hon
Published: April 2024

The rise of robo-advisors signifies a transformative shift in various industries, highlighting their pivotal role in fostering innovation and efficiency. Leveraging the adaptability of the Technology Adoption Model (TAM), this study integrates social influence, facilitating conditions, and user trust to analyze consumer behavior towards robo-advisors. Contrary to expectations, the study challenges conventional wisdom by revealing that the perceived ease of use significantly impacts user perceptions, prompting a reconsideration of the support for perceived usefulness. Recommendations include incorporating collaborative features and enhancing user-friendly designs, recognizing the importance of simplicity and usability. The study identifies challenges in user trust effectiveness, urging future research on trust relationships and the development of confidence-building plans. Providing critical managerial insights, the research guides effective marketing strategies, ensuring alignment with evolving user perceptions for the successful adoption of robo-advisors.
The Future of Robo-Advisors in Management
Authors: Gashi Kushtrim
Published: April 2024

This chapter examines how financial advice is evolving and how blockchain technology and machine learning algorithms are being integrated into Robo-advisory platforms. Based on research highlighting the benefits of blockchain in portfolio control, it first discusses how blockchain technology can be used to improve security, transparency and performance in automated advisory services. He then explores how machine learning techniques can be used to improve the overall performance of Robo-advisors, predict user decisions and enable adaptive learning. Numerous studies show how machine learning algorithms are overhauling traditional strategies by enabling personalized and responsive fund steering. In addition, the regulatory environment of Robo-advisors can be tested. Compliance issues and applicable solutions for client protection and platform rebalancing are addressed. The chapter concludes by highlighting the need for an ethical and regulatory framework to accompany technological development and promote responsible and reliable practices in the financial advisory industry.
Innovation as a Catalyst
Authors: Aggarwal Kapil Kumar , Kaur Rumit , Mohan Arvind , Kaur Ravneet
Published: April 2024

This research examines innovation as a transformational force in sustainable entrepreneurship, revealing difficulties and potential. It emphasizes sustainability-focused entrepreneurs' obstacles and innovation's importance by analyzing literature, empirical studies, and real-world situations. The research finds potential in technology, teamwork, and changing consumer tastes but limitations in resource restrictions, regulatory complexity, and market dynamics. The report advises entrepreneurs and executives on sustainable innovation management. The complex relationship between innovation, problems, and possibilities is highlighted for practitioners, policymakers, and scholars. The report recommends a proactive, adaptable strategy that emphasizes innovation as a key driver of sustainable entrepreneurial value.
Investigating the Impact of Human Resource Practices on Employee Satisfaction in the Corporate Sector of India
Authors: Sharma Anupama , Raj Rahul , Ghai Sachin
Published: April 2024

This research delves into an effect of human resource (HR) practices, including recruitment and selection, training and development, compensation, performance appraisal, and supervision, on employee satisfaction within diverse corporate entities in the North and West regions of India. Employing a structured questionnaire, data was collected from 236 participants across different corporations. The results, obtained through a structural equation model (SEM), demonstrate a significant and positive effect of HR techniques on employee contentment within various corporations in the North and West part of India. This empirical study offers valuable insights for HR managers, policymakers, and other stakeholders, aiding them in making strategic decisions to enhance both productivity and employee satisfaction.
The Future of Robo-Advisors in Management
Authors: Reepu Reepu , Singh Satnam , Taneja Sanjay
Published: April 2024

This comprehensive exploration delves into the transformative realm of robo-advisors, where finance meets technology, reshaping investment management processes. Beginning with integrating artificial intelligence and algorithms, robo-advisors have emerged as a disruptive force in the financial landscape. The study explores their key features and components. The literature review encompasses the state-of-the-art in robo-advisory research, from transformative impacts to ethical considerations. The review segues unexplored frontiers, presenting research opportunities in tailored design, human-computer interaction, behavioral economics, trust dynamics, security, long-term impact, co-creation of value, and regulatory implications. As the financial services landscape continues its digital revolution, Outlook highlights areas for future exploration, including technological integrations like blockchain, augmented reality, virtual reality, and natural language processing.
Impact of ESG on Coporate Financial Performance
Authors: Pal Shrabanti
Published: April 2024

The primary aim of the present study is to analyze the influence of environmental, social, and governance (ESG) scores of listed Indian automobile companies on corporate financial performance (CFP). The research explores the impact of ESG on the operational, financial, and market value of the companies using multiple regression analysis. The ESG performance data and financial data of Indian automobile manufacturing companies are collected from CRISIL and the respective companies' websites for statistical analysis. The outcomes of the study suggest that no statistically significant relations have been found between ESG scores and CFP. The present study will add significant value to ESG literature, and the sustainable development of firms for automobile companies around the world. Moreover, the study can be beneficial to global investors, regulators, policymakers, government, and other stakeholders of the business. Hence, the findings may provide evidence about voluntary disclosure of independent factors of ESG score for enhancing corporate sustainable growth prospects.
The Underpricing of French IPOs
Authors: Hellara Narjess Skhiri Ep
Published: April 2024

In this chapter, the authors investigate the initial public offering (IPO) first-day returns. Based on 254 French IPOs performed between 2006 and 2011, they evaluate short-term market performance, and they identify whether French IPOs are underpriced (outperformance) or overpriced (underperformance) in the short term. The positive and negative returns of short-term IPOs are used to measure underpricing and overpricing. SECON's analysis indicates that IPOs are too expensive at 1.55% for MAR and 1.54% for RR. Secondary market analysis can be useful to investors because the high returns from the first day on the primary market are due to the lack of information and speculative behaviour of investors. Finally. industry sector IPOs are underpriced in MAR of 68.01% in the primary market and 75.30% in the overall market. These are the highest levels of underpricing compared to other sectors.
Innovation in the Banking World
Authors: Duğru Meltem
Published: April 2024

Intense competition in the banking sector ensures continuous product and service development. This development through technology returns as an element that improves technology. The continuation of this cycle reveals new ideas, new inventions, new models, and new ways of doing business every day. As a result of innovative activities, innovative applications are being introduced in the banking sector, which is the most competitive sector in many countries. Changing consumer demands, young generations using technology and masses that are not yet open to this change stand out as factors that trigger innovation activities. Important steps are being taken as a result of the sector's willingness and ability to innovate. In this study, the innovation process in the banking sector, where the future is structured today, is discussed. It is aimed to examine and reveal the changes occurring in the banking sector within the framework of technological change and development. The findings obtained as a result of the research show that the sector is open to innovation and its support will continue.
The Undervaluation of Family Businesses
Authors: Hellara Narjess Skhiri Ep
Published: April 2024

In this chapter, the aim was to provide an elucidation for the underestimation of initial public offerings (IPOs) pertaining to French family firms. This was initially done by examining the ownership and control of such firms before and after the IPO, as well as the corporate governance mechanisms implemented by the owners. The model encompasses the governance mechanisms employed by family companies during their issuance. However, remarkably, the authors discovered that, albeit at an exceptionally high level of statistical insignificance, nearly 9.8% of the IPO underestimation can be accounted for by governance mechanisms. They attribute this finding to the potential presence of short-term investors and speculators who exhibit greater sensitivity toward the alteration in cash flow rights resulting from the IPO, as opposed to the governance mechanisms established by family businesses. The objective was to explain the IPO underestimation through cognitive governance mechanisms, rather than offering a comprehensive explanation for the underestimation of family businesses in general.
Revolutionizing drug Discovery With Cutting-Edge Technologies
Authors: Hemamalini V. , Tyagi Amit Kumar , Vennila V. , Kumari Shabnam
Published: April 2024

This chapter discusses the transformative potential of cutting-edge technologies in revolutionizing drug discovery processes, highlighting key issues and challenges anticipated in the next decade. The integration of technologies such as artificial intelligence (AI), high-throughput screening, CRISPR/Cas9 gene editing, and advanced analytics is poised to reshape the landscape of pharmaceutical research, promising accelerated development timelines and enhanced therapeutic outcomes. Artificial intelligence, particularly machine learning algorithms, plays a central role in data analysis, target identification, and drug repurposing. High-throughput screening technologies enable the rapid evaluation of large compound libraries, expediting the identification of lead compounds and optimizing drug development pipelines. CRISPR/Cas9 gene editing provides unprecedented precision in modifying genetic material, opening avenues for the development of more targeted and personalized therapies.
Current Trends and Future Research Agenda on Climate-Resilient Infrastructure in Developing Sustainable Tourist Destinations
Authors: Jaiswal Rachana , Gupta Shiv Kumar , Gupta Shashank
Published: April 2024

This study explores the nexus between climate-resilient infrastructure and sustainable tourist destinations amid escalating climate change impacts. Analyzing 273 articles from Scopus unveils key themes, challenges, and strategies. The Journal of Sustainable Tourism tops citations, emphasizing its influence. The UK, with the highest citations, signifies significant contributions to the discourse. Four clusters reveal unique facets—climate resilience and tourism dynamics, coastal sustainability, carbon neutrality, and global tourism. Infrastructure's role in mitigating risks, promoting resilience, and fostering economic sustainability is underscored. The synthesis guides future inquiries, serving as a roadmap for scholars, policymakers, and practitioners for a holistic understanding of climate-resilient infrastructure in sustainable tourist destinations.
Promotion of Rural Tourism Destination for Community and Sustainable Destination Development
Authors: Irfan Mohammad , Dhanabagiyam S. , Nayak Shalini R. , Dias Rui
Published: April 2024

Rural tourism is a part of tourism sector has been seeing fast growth. Today, in many rural areas, attention is influenced towards the economic viability of rural sector. Today, the scenario changed on the aspect of attraction and development of infrastructure facilities with the already existing cultural-heritage places, monuments, religious centres, farms, and eco-tourism spots. To preserve the indigenous culture of the rural tourism destination the researcher has examined the southern region of India to explore the sustainability of rural tourism and its support for local community development. Current scenario of entire world is towards the achievement of sustainable development goals (SDGs): Goal 8, Goal 12, Goal 15, Goal 16, and Goal 17. Due to Scarcity of research and to increase limelight, the researcher specifically focused on southern part of India, especially in Tamilnadu, to explore how sustainable rural tourism affects rural community development.
Crafting Future Leaders
Authors: Krishnan Ravishankar , Rajagopal Navaneetha Krishnan , Perumal Elantheraiyan , Kandasamy Logasakthi
Published: April 2024

This chapter offers readers a comprehensive overview of the content, focusing on the purpose and key insights. Examining the transformative power of creativity, the narrative underscores its centrality in the innovation economy. Shifting the spotlight to leadership, the discussion emphasizes the evolving role of leaders as visionaries and catalysts for change, drawing inspiration from real-world examples in FinTech, e-commerce, and healthcare. Ethical considerations serve as guiding principles, emphasizing inclusivity, accountability, and responsible technology integration. Exploring future trends, the chapter advocates for immersive technology integration, flexible learning models, and an emphasis on social impact. Ultimately, the chapter positions management education as the crucible for cultivating visionary leaders equipped for the challenges of the innovation-driven world.
Exploring the Influence of Emotional Intelligence on Decision-Making Across Diverse Domains
Authors: Baranidharan S. , Dhakshayini K. N.
Published: April 2024

Emotional intelligence (EI) is increasingly recognized as a crucial factor in decision-making across various professional domains. This systematic literature review, covering the period from 2017 to 2023, explores the intricate relationship between EI and decision-making in healthcare, business, education, ethics, and the realms of neuroscience and artificial intelligence (AI). Employing a qualitative research design, the study systematically analyzes articles retrieved from renowned databases including Scopus, ProQuest, EBSCO, J Gate, and Google Scholar. The findings reveal that elevated EI levels among healthcare professionals lead to improved clinical decision-making, characterized by enhanced patient-centered care and ethical considerations. In business and legal contexts, EI competencies are associated with ethical decision-making, effective leadership, and strong client relationships. In education, emotionally intelligent educators create supportive learning environments conducive to better pedagogical decisions and student emotional well-being.
Unlocking Innovation
Authors: Morande Swapnil , Tewari Veena , Amini Mitra , Gul Kanwal , Kukreja Jyoti
Published: April 2024

Creativity and innovation are integral to progress, yet neurocognitive mechanisms underlying creative thought remain unclear. This EEG study examined gender differences in brain activation during verbal and figural creative thinking tasks in 20 adults (10M, 10F). Participants completed verbal (Ask-and-Guess, Just Suppose) and figural (Unusual Uses) divergent thinking tasks from the Abbreviated Torrance Test while EEG was recorded. Analyses examined default mode, executive control, and salience network activity across frequency bands. Results revealed subtle gender differences in network activations and interactions during creative ideation. Females exhibited greater frontoparietal coupling, indicating enhanced cognitive flexibility. Males displayed higher default mode synchronization, suggesting greater persistence within an imaginative space. Findings provide initial neural evidence for specialized neurocognitive profiles between genders, with female advantages in flexible divergent thinking and male strengths in focused conceptual exploration.
A Paradigm Shift in Human Resource Policies
Authors: Nayyar Varun , Saluja Shefali , Vousinas Georgios L.
Published: April 2024

In light of the dynamic and rapid changing environment, the need for dynamic functions of HR is of great need for all corporates, and the varying part of HR managers is an imperative that dealt with explicitly to strengthen employee performance and their well-being. This study on neuroleadership has come up with some suggestions related to strategic leadership strategies to be adopted by human resource leaders in their organisations for better upliftment of the sentiments of the employees, resulting in a joyful and happy working environment. Likewise, management or stakeholders are recommended to spend more on training employees of their HR officials for better remote working, introducing pay cuts as a substitute for layoffs, hiring medical experts to curb the spread of viruses, crafting employee resource groups, and finally encouraging unwell workers to remain at home. Finally, strategic decision-making powers should be given to the human resources department so that they can work on the smooth running of their organisation.