bluuebunny/crossref_metadata_2025 huggingface dataset:
A note on 2D Navier-Stokes system in a bounded domain
Authors: Fan Jishan , Ozawa Tohru
Published: August 2024

This paper poses a new question and proves a related result. Particularly, the nonexistence of a nontrivial time-periodic solution to the Navier–Stokes system is proved in a bounded domain in $ \mathbb{R}^2 $.
A Systematic Review on ERP and Supply Chain Management
Authors: Roy Rupayan , Ajith Aswathi , Vaishnavi K. L. V.
Published: August 2024

Modern business operations rely heavily on enterprise resource planning (ERP) systems since they offer integrated solutions for handling many organizational activities. This abstract looks at how enterprise resource planning (ERP) and supply chain management (SCM) complement one another to boost productivity, visibility, and competitiveness in today's globalized market. ERP systems provide a centralized platform for data administration, facilitating efficient communication and coordination across the whole supply chain. Thanks to this integration, processes are improved, lead times are shortened, inventory levels are decreased, and customer satisfaction is increased. Additionally, putting ERP systems in place enables companies to respond rapidly to volatile markets and altering consumer needs.
Big Data
Authors: Taghipour Atour
Published: August 2024

Big data is a collection of massive data that makes it possible to analyse trends, anticipate emerging needs, optimize operations as well as make decisions confirmed with the needs of the customers. Recently, big data can become a new business for large stores and retailers, because it offers the possibility of generating a new line of profit by selling data to other companies looking for data, which is difficult to collect. This new investment generates a significant profit. For now, there are firms specializing in the field of big data, which sell data to companies in all sectors, including mass distribution. If the data is correctly assessed, it can enable strong growth in the competitiveness of the company that collected or purchased its data. This chapter is an attempt to track the use of big data in supermarkets based on a literature analysis.
Coordination and Cooperation in Green Industry 4.0 Manufacturer-Retailer Supply Chains
Authors: Öztürk Harun
Published: August 2024

Worsening environmental conditions make it increasingly important to produce eco-friendly products. Consumers are aware of this, so they are increasing demand for green products. This study considers a two-level supply chain, comprising just one manufacturer and one retailer, applying Industry 4.0 technologies, and supplying a market that prioritizes green products. Each lot of the manufacturer's single product is shipped to the retailer in several batches of unequal sizes. The batch sizes are determined by an arithmetic progression. The manufacturer's Industry 4.0 investment level influences their cost and greenness level. Demand for the product is influenced not only by the retail price, but also by the level of investment in Industry 4.0 and consequently the product's greenness. The authors construct both a non-coordinated decentralized model and a coordinated model under a cost sharing contract, as well as a centralized model. The analysis illustrates that the supply chain's sustainability in both economic and environmental sustainability terms is increased by coordination.
How Industry 5.0 Ensures Total Quality Management in Organizations
Authors: Kumar Satish , Sharma Somesh Kumar
Published: August 2024

In the era of Industry 5.0, the convergence of advanced technologies and the reimagining of traditional industrial processes have led to significant transformations in the way organizations operate. The next stage of industrial growth is known as Industry 5.0, where a dynamic and very responsive industrial ecosystem is created via the integration of cyber-physical systems, artificial intelligence, the internet of things, and human cooperation. Industry 5.0, with a focus on human-machine collaboration, acknowledges the value of human abilities, imagination, and decision-making in guaranteeing the quality of goods and services. The goal of total quality management is to improve the effectiveness and caliber of all internal processes, goods, and services inside a company. There has been a change in culture, with all staff members dedicated to client satisfaction and ongoing progress. By providing the frameworks and resources required for enterprises to meet their quality-related goals, Industry 5.0 enhances TQM.
Impact of Digital Technologies on Procurement and Supply Chain Management in the Manufacturing Sector
Authors: Wu Mingzhu , Ali Syed Imran
Published: August 2024

Digital technologies have been studied and applied in manufacturing. However, organisations face challenges in implementing digital technologies, particularly at the procurement and supply chain levels. The purpose of this chapter is to understand the motivations of organisations to adopt digital technologies, the implementation effects on procurement and supply chain management, and the challenges in adopting them. Hence, a thorough review of the topic is necessary to understand the scholarly work in this area. The study employs the systematic literature review (SLR) to extract data from Scopus, ABI/Inform collection, and EBSCOhost databases from 2013-2023. Sixty articles were reviewed. The descriptive and thematic analyses have identified the key factors driving the adoption of digital technologies in global manufacturing, the key opportunities and challenges in procurement and supply chain management, and recommended strategies to overcome these challenges. The authors then propose a conceptual model of digital technology implementation in procurement and supply chain management.
Machine Learning in Management of Rocket Sports
Authors: Bazhrang Mojgan
Published: August 2024

Today, technology plays a part in almost any aspect of our life. In sport management, whether in the case of competition, training, recovery, or care, high-tech technologies and innovations are beneficial to improve the performances. Nowadays, some scientists dedicate all their research to sport and improving the performance of athletes. In this context, machines, a branch of artificial intelligence, can offer many advantages to the sport management. This chapter analyses the benefits of machine learning in racket sports and gives future direction for practitioners and researchers.
Supply Chains and Artificial Intelligence Chatbots
Authors: Taghipour Atour
Published: August 2024

Logistics and supply chain operations are becoming increasingly complex and costly, requiring businesses to streamline their processes in order to remain competitive and profitable. Leveraging chatbots to automate and optimize supply chain operations is becoming an increasingly popular solution for businesses looking to improve their operations. Overall, leveraging chatbots to streamline logistics and supply chain operations can provide businesses with a number of benefits. Chatbots can reduce costs associated with manual labour, automate certain processes, and streamline communication between customers and suppliers. By leveraging chatbots, businesses can improve their operations and stay competitive in the market. This paper attempts to analyse the application of the artificial intelligence chatbots in supply chain management. This study can be used by researchers and practitioners in supply chain management.
The Impact of Autonomous Vehicles on the Operational Process of the Transportation Industry
Authors: Forsyth Wade , Haddud Abubaker
Published: August 2024

This chapter explores the introduction, development, influence, and potential impacts of autonomous heavy-duty vehicles in the Canadian commercial transportation industry. Although still developmental, this technology can change operational processes in a transport organization. The discussion incorporates a framework from government regulatory standards and objectives. It includes academic reviews, journal articles from respected institutions, and editorial sites. The autonomous truck revolution will happen, but it remains unknown when it enters the Canadian trucking industry. The operational management role in this revolution is awareness of ongoing technological advancements. The need for development and adaptation could take years from those initial tests, and many barriers must be overcome. This chapter provides a better understanding of the potential impacts of autonomous vehicles' operational processes and identifies how managers can implement and prepare for the transition.
The Utilization of Internet of Things (IoT) in the Field of Robotics Process Automation
Authors: Premavathi T. , Shekhar Ayush , Raj Ankit , Mohan Krishna , Palaniappan Damodharan , Shukla Madhu
Published: August 2024

This book chapter explores the symbiotic relationship between robotics process automation (RPA) and the internet of things (IoT) and their practical applications in modern enterprises. RPA's ability to automate mundane tasks and IoT's real-time data collection from interconnected devices form a powerful duo. Through case studies and real-world examples, the authors showcase how this integration is reshaping industries such as manufacturing, logistics, healthcare, and agriculture. The chapter underscores the role of RPA in processing IoT-generated insights for swift decision-making and operational optimization. RPA, renowned for its prowess in automating repetitive and rule-based tasks, offers operational efficiency, reduced errors, and cost savings. IoT, on the other hand, connects the physical and digital realms, furnishing real-time data from interconnected devices. It investigates the myriad applications of these technologies across industries and examines how their integration can redefine business processes and decision-making paradigms.
Assessing Circular Economy Performances of Selected Countries Using Mcdm Methods
Authors: Rađenović Žarko Jovan , Rajić Milena Nebojsa
Published: August 2024

The concept of the circular economy is gaining increasing attention as a sustainable economic model aimed at minimizing resource consumption and waste generation, while promoting the sustainable economic growth of organizations. However, assessing the performance of existing circular economy initiatives requires a comprehensive evaluation and analysis of multiple criteria and indicators. This chapter explores the application of the multi-criteria decision making (MCDM) method in evaluating the performance indicators of the circular economy. It considers the importance of multi-criteria decision-making methods, presents relevant case studies, and highlights the advantages and challenges associated with their implementation. Accordingly, the aim of this research is to rank the EU27 countries based on a set of circular economy indicators using the mentioned MCDM method and to identify the alternative with the best mutual relationship of circular economy performance indicators. The optimal alternative after the analysis is Lithuania, a member of the EU27.
Comparative Systematic Literature Review on Digital Transformation and Sustainability
Authors: Hoang Phuong A. , Ho Giao N. N.
Published: August 2024

For many organizations, digital transformation and sustainability are often viewed as separate paradigms. Recent research has explored the potential impacts of digital initiatives and sustainable solutions and recognized the interrelationship between digital transformation and sustainability. To shed light on the convergence of digital transformation and sustainability, this chapter conducted a comparative literature review to identify key dimensions of digital transformation and sustainability frameworks. Among the identified dimensions, six dimensions, including Strategy and Vision, Innovation, Technology, People, Organization, and Ecosystem and Partnership, were identified as the common themes. They also lay out a solid foundation for further exploring the 'digital sustainability paradigm'.
Educational Technology and Responsible Automated Essay Scoring in the Generative AI Era
Authors: Thai Hieu , Nguyen Minh , Nguyen Hung Truong Thanh , Vo Diem Thi Hong , Thanh Binh Nguyen , Nguyen Khang , Ha Son , Le Tam Vi An
Published: August 2024

Generative AI-driven automated essay scoring (AES) is expected to revolutionize personalized education by offering customized feedback to students. However, the reliability of these systems is currently undermined by inherent limitations, such as the tendency for “hallucination,” where the AI generates factually incorrect or irrelevant information. To mitigate these issues and bolster the trustworthiness of AES, this chapter argues that the implementation of explainable AI (XAI) is crucial. Suitable XAI algorithms could make the GenAI's decision-making process transparent, allowing educators and students to understand and trust the feedback provided, thus ensuring the effective integration of AI in education. Furthermore, the chapter outlines several recommendations for achieving a responsible GenAI-driven AES system.
Delving Into the Metaverse
Authors: Gupta Brij B. , Chui Kwok Tai , Gaurav Akshat , Psannis Konstantinos
Published: August 2024

This Chapter explores the concept of Metaverse in depth, focussing on its development from the virtual worlds to modern digital environments. In particular, it describes the architecture of Metaverse, emphasising the layers that allow for present-day virtual experiences and the main concepts that inform them. Moreover, the chapter examines several technological advancements, namely, blockchain, VR/AR, and AI, that play significant roles in the functioning and improvement of Metaverse and the interaction of its users. Furthermore, the introduction discusses the ecological perspective of Metaverse, focussing on the people and the developers as well as the way they interact through the platforms.
Foundations of Cybersecurity
Authors: Gaurav Akshat , Arya Varsha
Published: August 2024

The rapid advancement of digital technology has brought significant benefits but also introduced a myriad of cybersecurity challenges. In this context, this chapter, addresses the growing need for a robust understanding of the principles, threats, best practices, and legal and ethical considerations essential for safeguarding digital assets. This chapter explores the core principles of confidentiality, integrity, and availability, delves into prevalent cyber threats and vulnerabilities, and outlines best practices for mitigating these risks. Additionally, it addresses the legal and ethical frameworks governing cybersecurity, emphasizing the importance of compliance and responsible conduct. Understanding these fundamentals is crucial for navigating and securing the increasingly complex digital landscape.
Metaverse Security Paradigms
Authors: Sreerakuvandana  , Pappachan Princy , Bansal Ritika
Published: August 2024

The User Education and Awareness chapter in Metaverse Security Paradigms tackles the essential aspects of user education and awareness in safeguarding against the myriad security risks. Beginning with an in-depth analysis of common security threats such as data breaches, identity theft, and phishing attacks, the chapter catalogues these risks. Then, it explores the influential roles of community leaders and the adoption of innovative approaches like gamification to establish security as a collective responsibility. The practical implementation of these strategies across diverse virtual platforms is also thoroughly examined. Next, the chapter delves into the processes for reporting and responding to security incidents in the Metaverse. It details the establishment of efficient reporting channels, the formation of rapid response teams, and the use of automated systems for early threat detection. Concluding with a guide on best practices, the chapter equips users with strategies for personal protection, from basic digital hygiene to advanced tactics against complex threats.
Privacy-Preserving Techniques and User Anonymity in the Metaverse
Authors: Gupta Brij B. , Han Chunjia , Chaurasia Priyanka
Published: August 2024

Emphasizing sophisticated methods to safeguard user information and guarantee privacy, this chap- ter explores user anonymity and privacy-preserving technologies in the Metaverse. Important subjects include differential privacy for data exchange, federated learning for artificial intelligence, safe multi- party computing for group projects, and virtual world anonymity methods. This chapter also investigates the harmony between security and privacy, ethical issues and future developments in metaverse privacy protection. Moreover, this chapter offers a thorough review of Metaverse privacy-preserving techniques.
Impact of Digital Innovations in Preventive Dentistry
Authors: Asanza Dachel Martínez , Rojas Herrera Isis Anastasia , Mouloudj Kamel , Amable Odette Garrido , Muzzamil Muhammad
Published: August 2024

The rapid evolution of digital technology has fundamentally changed the landscape of preventive dentistry, ushering in a new era of innovation with tools like digital radiographs, 3D printing, intraoral scanners, augmented and virtual reality, artificial intelligence, teledentistry, internet of dental things, and mobile applications. This chapter aims to analyze the transformation of preventive dentistry through digital innovations, examining the revolutionary impact of technological tools on the approach to oral disease prevention. By conducting a narrative review of articles in both English and Spanish sourced from reputable databases such as Pubmed, Google Scholar, and SciELO spanning from 2019 to June 2024, the potential of digital technologies in revolutionizing oral health management is highlighted. An analysis of how these technological tools are reshaping the delivery of preventive dental care showcases the boundless opportunities that digital advancements bring to the field of dentistry.
Exploring the Ethical and Legal Aspects of Digital Innovations in Preventive Dentistry
Authors: Cristache Corina Marilena , Mihut Tamara , Burlacu-Vatamanu Oana-Elena , Sgiea Eliza-Denisa
Published: August 2024

The chapter seeks to explore the multifaceted ethical and legal aspects of digital innovations in preventive dentistry. It aims to dissect the implications of these technologies on patient rights, professional responsibilities, and the overarching goal of improving oral health outcomes. For this narrative review, articles in English were sourced from the Web of Science, PubMed (Medline), Scopus (Elsevier), and the EBSCOhost Dentistry & Oral Science Source database. The search utilized a combination of key words—“preventive dentistry,” “digital technology,” “prophylactic dentistry,” “ethical,” “legal,” “malpractice,” and “informed consent”—employing Boolean terms AND or OR. Additionally, a hand search was conducted in other relevant publications, as in the references of the identified articles. By examining current practices, regulatory policies, and ethical frameworks, this review endeavors to provide insights into navigating the challenges and opportunities presented by digital advancements in preventive dentistry.
Scholarly Communication Theories Used in Preventive Dentistry and Digital Technology
Authors: Adakawa Murtala Ismail , Sokolova Elizaveta Vitalievna , N. S. Harinarayana , Asanza Dachel Martinez
Published: August 2024

This chapter investigates scholarly communication theories used in preventive dentistry and digital technology. Researchers differ in the approaches they look at a problem, which is why a single problem can be studied from different perspectives leading to different conclusions. The study used Scopus to retrieve 29585 documents and restricted to 5-year period of 2019-2023 where 6000 documents were used for analysis. Many prominent authors contributed in the preventive dentistry. There are also international collaborations. Further, the study revealed a number of theories used in preventive dentistry, which include dentistry and oral hygiene, oncology and dentistry, pediatric dentistry and lifestyle, periodontology and diabetes, knowledge and behavior in oral health, ageing and oral care, caries prevention and dental education, orthodontics and biofilms, among others. There is an increase in the use of theories in preventive dentistry and a growing field of studies that has the potentiality of expanding the horizon of the profession.
Marketing Strategies in Dentistry
Authors: Salman Faraed Dawood
Published: August 2024

This chapter's review of literature examines the crucial role played by digital marketing and social media in the evolution of dental practices and the improvement of patient involvement. It investigates ethical concerns, patient perspectives, and the influence of influencer marketing on the reputation of practices. The chapter also delves into the intricate relationship between social factors, self-perception, and consumer decisions in influencing patterns of oral healthcare consumption. Moreover, it emphasizes the transformative capacity of technology in advancing oral health and enabling remote consultations. The outcomes emphasize the significance of personalized marketing tactics, patient-oriented communication methods, and the call for additional research to address emerging barriers and foster ethical marketing practices in the digitalization era.
Unveiling the Science From Cells to Cultivated Food
Authors: Kanathasan Jayasree S. , Nallappan Devi , Selvarajh Gunavathy , Harun Zaliha Binti
Published: August 2024

The food crisis has been a crucial concern to meet the rising food demand worldwide. Cellular agriculture could be a prominent solution for sustainable food production. One of the main aims for cellular agriculture is to increase the capacity of the food to feed the increasing world population, whilst maintaining the quality of the environment and food. Therefore, this chapter introduces cellular agriculture as one of the latest food bioengineering technologies. Then, the principles and factors of cultivating cultured meat and plant tissues are discussed. Furthermore, applications of the cultivated food are explored. Following this, the ethical aspects and the challenges that will direct the future perspectives were discussed. Being at an early stage of venture in the food industry, the benefits and significant improvements of cellular agriculture will make it the most effective alternative in the food industry.
The Environmental Impact of Cellular Agriculture
Authors: Selvarajh Gunavathy , Yasmin Farzana , Kumara Udugalage Isuru Harsha , Kanathasan Jayasree S. , Nallapan Devi
Published: August 2024

Cellular agriculture, known as cultured or lab-grown meat production, involves the cultivation of animal cells in vitro to generate meat products without the need for traditional animal rearing and slaughtering. There are numerous environmental issues stemming from traditional animal agriculture. These include land degradation, water scarcity, greenhouse gas emissions, and biodiversity loss, which collectively contribute to environmental degradation and climate change. Against this backdrop, cellular agriculture offers a promising solution by leveraging biotechnological advancements to produce animal-derived products without the need for intensive livestock farming. This chapter evaluates the environmental impact of cellular agriculture across multiple dimensions. Further, this chapter also evaluates the water conservation, followed by biodiversity conservation. The final topic is on the reduced energy consumption due to the implementation of cellular agriculture.
The Lab Grown Plate
Authors: Ayakannu Rathimalar , Vijayan Hemapriyaa , Elengoe Asita
Published: August 2024

This chapter highlights the cutting-edge field of cellular agriculture, emphasizing the creation, principles, and applications of lab-grown food. The lab-grown plate refers to a concept representing food that is produced through cellular agriculture techniques in a laboratory setting. It covers the idea of creating food products, such as meat, dairy, and other animal products, through cell culture techniques, without the need for conventional animal husbandry. Instead, cells are cultured and grown in controlled settings to produce edible tissue, which is subsequently processed into a variety of food products. However, there are still challenges to overcome in scaling up cellular agriculture to commercial levels, including technological hurdles, regulatory considerations, and consumer acceptance. Nevertheless, continued research and investment in this field hold promise for transforming the way animal products are produced and consumed in the future.
Cellular Milk and Dairy Products
Authors: Saxena Dipali , Mehrotra Rolly , Trivedi Manisha
Published: August 2024

Cellular agriculture could develop foods with changed macro- and micronutrient content to promote optimal health or flavor, potentially producing a new class of superfoods. This multi-disciplinary area focuses on resulting in existing agricultural products, particularly animal-based products, using cell culture rather than living organisms. Conventional dairy farming has a major environmental impact, including greenhouse gas emissions, water use, land use, and animal welfare challenges. Cell-based dairy, also known as lab-grown or cultured dairy, is a promising alternative that produces milk directly from cell cultures, eliminating the need for cows. This technique can significantly minimize the environmental footprint. This chapter focuses on cellular agriculture, which has the potential to reduce the number of animals required for food production and thereby minimize the environmental implications of extensive animal husbandry.
Future of Cellular Agriculture
Authors: Ahmed Idris Adewale , Bello Ibrahim , Raji Abdullateef Akintunde , Mikail Maryam Abimbola
Published: August 2024

Cellular agriculture, a transformative field at the intersection of biotechnology and food production, is poised to revolutionize the global food system. This review delves into the multifaceted landscape of cellular agriculture, examining key aspects such as technological advancements driving innovation, emerging market trends and lucrative opportunities, regulatory frameworks shaping industry development, and the environmental impact of transitioning to cellular agriculture. Moreover, it explores consumer acceptance and perception, crucial for mainstream adoption, alongside economic viability considerations and the evolving supply chain and infrastructure requirements. Ethical considerations, particularly concerning animal welfare, are scrutinized, highlighting the importance of addressing these concerns for industry sustainability. Furthermore, the review also evaluates the roles of international collaboration and partnerships in fostering growth and overcoming challenges.
The Role of Cellular Agriculture in Mitigating Climate Change
Authors: Hamad Ahmed M. , Awad Dina A. B.
Published: August 2024

Cellular agriculture, a revolutionary approach to food production, holds significant potential for mitigating climate change. Cellular agriculture addresses the environmental burdens associated with conventional animal agriculture by cultivating animal products such as meat, dairy, and eggs from cell cultures rather than traditional livestock farming. The chapter explores cellular agriculture's technological advancements, economic implications, and regulatory challenges, emphasizing its role in decreasing deforestation, methane emissions, and water usage. Furthermore, it highlights the potential for cellular agriculture to reduce the reliance on antibiotics, thereby contributing to public health. Through a comprehensive analysis of current research, case studies, and future projections, this chapter underscores the critical importance of cellular agriculture in the global effort to combat climate change and foster a sustainable food system.
Regulatory Landscape and Public Perception
Authors: Yu Peter , Lim Calisa
Published: August 2024

The current food system faces global disruptions from climate change and population growth, destabilising the state of food security in many countries. In this new global context, cultivated meat (CM) presents an innovative solution to provide a sustainable source of protein. There are two essential aspects of the CM industry: development of clear and transparent regulatory frameworks and positive consumer perception. Regulatory frameworks allow companies to demonstrate food safety, a pre-market requirement that most countries mandate before commercialisation. Post-commercialisation success will be measured by how well the CM products are received by the public. This chapter explores both topics by providing a comprehensive overview of the current state of each area, with further insights on key drivers that facilitate progressive development, such as international coordination and harmonised labelling guidelines. The chapter concludes with a combined outlook of the CM industry going forward.
Revolutionizing Finance
Authors: Pandow Bilal Ahmad
Published: August 2024

Artificial intelligence (AI) technologies are bringing about significant changes in the financial sector by transforming traditional procedures, improving risk management, reinventing client experiences, and impacting regulatory compliance. AI is transforming risk management techniques in, including trading and investments. Machine learning models are utilized for identifying and preventing fraudulent actions, evaluating credit risk, and overseeing compliance with regulatory standards. Financial organizations can improve decision-making processes, reduce risks, and protect financial stability by utilizing AI for risk management. Artificial intelligence is transforming consumer experiences in the financial sector by offering tailored services and predictive analytics to predict customer needs and preferences. AI-driven chatbots and virtual assistants are revolutionizing customer interactions by offering immediate service and improving customer satisfaction and loyalty.
Revolutionizing Risk Management AI and ML Innovations in Financial Stability and Fraud Detection
Authors: Balcıoğlu Yavuz Selim
Published: August 2024

The integration of artificial intelligence (AI) and machine learning (ML) into risk management and fraud detection within the financial sector marks a significant evolution in combating financial crimes and improving operational efficiencies. This chapter explores the transformative impact of AI and ML technologies, presenting detailed case studies that illustrate their real-world applications in banking and insurance. Emerging trends and innovations, such as federated learning, quantum computing, and blockchain technology, are explored for their potential to further revolutionize risk management practices. However, the adoption of these advanced technologies also introduces complex challenges and ethical considerations, including concerns about data privacy, the need for regulatory compliance, and the imperative to ethical AI use. The discussion emphasizes the importance of navigating these challenges through robust data protection measures, transparent AI algorithms, and adaptive regulatory frameworks to ensure the responsible and effective use of AI and ML in finance.
The Prospects of Artificial Intelligence and Machine Learning in the Stock Market
Authors: Taqi Mohammad , Hamaidan Hani , Khan Rizwan
Published: August 2024

The stock markets are more volatile than they have ever been right now. Information that is publicly available is growing exponentially more often. However, human traders find it difficult to fully utilize such enormous volumes of data. As a result, algorithms for machine learning (ML) and artificial intelligence (AI) use this data to identify even the slightest market irregularities and profit from them. Understanding and evaluating these AI and ML systems' capabilities, constraints, and technological underpinnings is essential to making the most of them. Artificial intelligence drastically changed the stock trading sector. To maximize the potential of these AI systems, it is imperative to comprehend and assess their scope, limits, and technological aspects. The present study highlighted that the machine learning and AI model has to include indicators like the simple moving average and triangular moving average that have a strong link with stock prices. This study also identifies two major issues with this technology: the amount of human labor needed to operate systems and the difficulty in locating enough high-quality data to feed and train them. There is a strong desire to never stop exploring due to the global advancements in technology and industry. The most promising area of stock trading research has been the incorporation of artificial intelligence. Trading with artificial intelligence and machine learning is similar to what fire was to cavemen. Artificial intelligence (AI) enables robotic advisors to analyze vast amounts of data, support trade execution at the best and most profitable prices, analyze projections more accurately, and help trading businesses calculate risks more effectively and provide investors higher returns. Artificial intelligence (AI) is permeating every aspect of our life, frequently without our knowledge.
Quantifying the Complexity of Stock Price Prediction Using Regression Complexity Measures
Authors: Roy Anandarup
Published: August 2024

The prediction of stock prices is crucial for investment and risk management. Accurate forecasts give investors a competitive edge, enabling better trading decisions and optimized portfolio management. Despite many predictive methodologies, there is a lack of emphasis on analyzing the inherent complexity of stock price prediction itself. This chapter addresses this gap by quantifying the complexity of stock price prediction using regression complexity measures. Specifically, it focuses on the weekly stock price movements within the NIFTY 50 universe of India, utilizing ten years of historical weekly stock prices. The authors applied regression complexity measures to evaluate the complexity of predicting weekly stock prices and designed two scores to combine these measures. The findings show that these measures effectively differentiate between stocks with varying levels of prediction difficulty, enabling investors to make more informed decisions. Ranking stocks based on these measures helps investors select stocks with lower prediction complexity enhancing robust predictive models.
Blockchain Technology
Authors: Mukherjee Soumya , Chatterjee Avik , Dey Emili , Chatterjee Tirtharaj , Dass Sayantan
Published: August 2024

This research paper delves into the integration of blockchain technology within the Indian economy, analyzing its advantages and disadvantages. Blockchain serves as a digital ledger accessible to multiple users simultaneously, ensuring transparent and immutable transaction records. India's diverse demographics, complex legal systems, and evolving technological infrastructure present a unique yet uncertain landscape for blockchain adoption. This preliminary investigation outlines potential risks, including regulatory ambiguity, scalability challenges, and stakeholder unawareness. Conversely, it also examines promising opportunities such as enhanced financial services accessibility, streamlined processes, and increased transparency. By synthesizing insights from industry reports and academic literature, this study underscores the potential dividends for technologists, businesses, and policymakers. Ultimately, this research underscores how blockchain technology could catalyze sustainable economic growth in India, empowering informed decision-making processes.
Initial Public Offer's Underpricing at National Stock Exchange
Authors: Shukla Shipra , Shukla Neeraj , Agarwal Manali , Ramakrishna Dhanbhagiyam
Published: August 2024

This study examines underpricing of IPOs in emerging economy, India, and it investigates the factors influencing underpricing in Indian context. The analysis focuses on companies registered on the national stock exchange (NSE) from January 2021 to December 2023 i.e.,131 companies which included 91 underpriced IPOs and 40 overpriced IPOs. The sample of the study limits to 74 underpriced IPOs and the factors studied are underwriter reputation, age of the firm, listing delay, return on asset (ROA), debt-equity (D/E) ratio, and offer size. A causal research method was used for the study. The data was examined using tools like descriptive statistics, correlation, and regression on R software. The study is concluded by stating significant and relatively strong positive relationship between underwriter reputation and underpricing and notable but weak positive correspondence between listing delay and underpricing while other factors were not statistically significant. The collective impact of these factors on underpricing was further examined using Regression analysis model which states 20.4% of the variance in underpricing with underwriter reputation and listing delay as significant predictors.
Revealing the Subtleties
Authors: Bentalha Badr , Alla Lhoussaine
Published: August 2024

Qualitative research methodologies have long been undervalued and overshadowed by quantitative approaches in science and management. However, there is an inherent attractiveness and power in qualitative studies that lies in their ability to unveil the nuanced complexities and rich contextual elements often overlooked by purely numerical analyses. This chapter aims to illuminate the intricate artistry of conducting impactful qualitative research within these domains. The chapter also navigates the intricate process of data analysis, interpretation, and theory-building, underscoring the importance of reflexivity, triangulation, and the iterative nature of qualitative inquiry. Ultimately, this chapter serves as a compelling manifesto for embracing the subtleties of qualitative research, recognizing its vital role in uncovering the rich tapestry of human existence and organizational realities within the scientific and managerial realms.
Qualimatric Intervention Research
Authors: Dibi Abdessamad , El Moussaoui Taoufiq , Eddine El Moussaoui Alaa , Loqman Chakir
Published: August 2024

Management sciences are a complex discipline that simultaneously raises technical issues, stemming from accounting and financial approaches, and human issues, of psychosocial inspiration. Therefore, they require appropriate methodologies to capture their full complexity. It is in this perspective that we can situate the development of qualitative field research methodologies. In this chapter, the authors propose to discuss, through a case of illustration of a field research conducted within a public non-profit organization, the relevance of the qualimetical intervention research method for researchers in management sciences, as a field research, engaged, collaborative, and transformative.
Evolving Experiences in Management Education Through a Longitudinal Qualitative Study
Authors: Elmouhib Soufiane , Es-Salmani Mourad , Moussa Abdelkarim
Published: August 2024

This study employs longitudinal qualitative research methods to explore the dynamic learning experiences of students in a newly introduced management education program. Grounded in theoretical perspectives on time, lived experiences, and developmental trajectories, the chapter underscores the importance of capturing the fluidity of educational journeys over an extended period. An in-depth case study was conducted at USMBA University, following a cohort of five students through their first year in the Excellence Program in Management Sciences. Data were collected through semi-structured interviews at beginning and end of the academic year. Iterative qualitative coding and analysis techniques were applied to identify evolving patterns, critical incidents, and transformations in students' perspectives, skill development, and experiences. The findings reveal the complex interplay between institutional factors and personal factors shaping individual learning trajectories.
Investigating the Determinants of ESG Disclosure Practices in Morocco
Authors: El Aziz Ouissal , Asdiou Abdelkarim
Published: August 2024

Non-financial disclosure refers to the publication of indicators that do not result from the financial statements. In Morocco, several companies publish their ESG reports annually, but the quality and quantity of information presented varies from one company to another. This chapter per the authors seeks to understand the factors likely to impact the scale and scope of ESG reporting done by Moroccan companies. This work began with a theoretical exploration of the determinants of non-financial disclosure, which enabled the authors to draw up a theoretical model incorporating the main determinants proposed in the literature. Subsequently, an exploratory qualitative approach will be implemented in order to contextualise the theoretical model identified. In terms of results, the contextualised model contains eight explanatory variables, the size of the company, the industry sector, the governance structure, profitability, CSR performance, stakeholders pressure, the cost of producing reports, and the desire to acquire a competitive advantage.
Qualitative Risk Analysis Based on Avalanche Scenarios in Palandöken Ski Center, Erzurum (NE Turkey)
Authors: Kurt Tayfun
Published: August 2024

The chapter proposes a method for regional-scale qualitative risk assessment. To estimate critical snow heights, information was gathered from residents, documents, and back calculations of avalanche simulations based on well-known avalanche events. The elements at risk were extracted from existing digital cadastral databases, and vulnerabilities were identified. The study found that the provincial forest area had the highest annual probability of property loss. The chapter presents a model that offers an effective means of determining standardized responses and controls for common environmental issues based on the level of risk. Additionally, various potential avalanche scenarios are presented to provide an understanding of the potential threats specific to this avalanche-prone area. The resulting map provides reliable and easily understandable information, highlighting areas where avalanches pose a significant risk at the regional level, as well as areas where new avalanche paths may develop under favorable conditions within the defined region.
Robo-Revolution
Authors: Upadhyay Deepika , Jaiswal Vartika , Ghosal Indrajit , Shah Syed Muhammad Abdul Rehman
Published: August 2024

Robo-advisors have the potential to revolutionise the financial service industry by making it more accessible and affordable. This study provides a comprehensive overview of robo-advisors in the arena of financial markets and investments and their gaining popularity in the fintech industry, particularly in emerging markets like India. It also discusses the changing landscape of the financial sector in India, benefits and challenges of fintech, and the legal and ethical implications of robo-advisors. The current study presents a comparative study between India and UK markets in terms of acceptance and penetration of robo-advisors. It highlights leading robo-advisory firms in India. The data visualisation is done with the help of Microsoft Power BI and Microsoft Excel on the statista survey data. The expected results of this study assist several stakeholders, such as academicians, researchers, investors, stock brokers, regulators, and policy makers.
Agile Management
Authors: Kenaphoom Sanya , Wattanapanit Narat , Tanchaisak Krisda , Niyomves Busara
Published: August 2024

In the fast-paced business world of today, agile management is essential because it fosters flexibility, collaboration, and continuous improvement, allowing for quick reactions to shifting needs. This strategy lowers risks, improves communication, and increases responsiveness, which results in better products and happier customers. This essay examines agile management techniques and their applicability in today's corporate environment. Customer-centricity, cross-functional teams, iterative development, and continuous improvement are important agile concepts. Increased flexibility, better teamwork, higher-quality products, and more transparency are some of the advantages. Training, pilot projects, and ongoing learning are necessary for implementing agile; obstacles include change aversion, cultural barriers, and sustaining commitment. In conclusion, despite obstacles like cultural resistance and the requirement for continuous commitment, agile management is essential for promoting flexibility and teamwork.
The Business Management Development of the Military Housewives' Group
Authors: Sriphong Chompunuch , Maneenin Piyada , Kamphangdee Sasadee
Published: August 2024

This study aims to 1) analyze the business environment of the military housewives' group producing cosmetic products in southern Thailand, and 2) develop the business management of this group. This study uses participatory action research which includes collecting data through group interviews, focus group discussions, and twelve group members' involvement in developing the business management. Data was examined through content analysis. The results revealed that the strengths include support from its military unit, members' production skills, and products composed of natural extract ingredients. The main weaknesses include members' lack of knowledge of business management. The products also do not meet any certified standards. The opportunities include the abundance of raw materials in the vicinity, the popularity of natural-based products, modern communication technology, and support from government agencies. The key threat is competitors. After its development, the group has been able to expand its market, resulting in more than a doubling of its previous income.
Cyborg Employees
Authors: Kamal Roop
Published: August 2024

Amid the progress of the technoscientific revolution, which fundamentally alters nearly every sphere of people's existence, the idea of cyborg employees, people with artificial parts in their bodies, is no longer the stuff of fiction. This chapter is dedicated to the analysis of the relatively new philosophical movement called transhumanism and its possible manifestations in the contemporary work context. It may be important for cyborg employees to work in risky and exclusive areas of practice, and they include areas related to health, protection, and astronomy, among others. It concerns problems associated with privacy, security concerns, and the possibilities of losing the base of economically disadvantaged people. There is also evaluation of effects on the psychological aspects of the employees like their identity and self-pertaining view in addition to the social ramifications of implementing these types of technologies.