Abstract: Due to the development in human population and their requirements, the vehicular population on the globe is increasing day by day in the medium of public transportation. As a result, carpooling comes into play, with the fundamental notion being to share personal automobile space among persons travelling similar paths. Smart carpooling, car sharing, and ridesharing are other terms for the same thing. From a socioeconomic and environmental standpoint, the major task is to develop sustainable transportation. The success of carpooling should be measured in terms of cost, stress-free driving, traffic reduction, and air pollution reduction in the transportation solution system. The major challenge here is to assist vehicle users in gaining access to and picking an appropriate cost-effective transportation option based on their environmental footprint, matching his or her requirements, preferences, and legal limits, and determining the optimum route via specified areas.

Abstract: Technological changes have helped the methodology of execution where we can examine the sector in addition to the manner enterprise is carried out. Productive development has facilitated correct manufacturing in large volumes. The advanced technology, together with information in analytics, smart devices, computerization, and artificial intelligence (AI), is converting the system of society and persons to interact on a basic level. The evolution and development of artificial intelligence (AI) have transformed the effectiveness of commercial enterprises globally. However, business adoption of AI-based total packages by businesses remains constrained because of a lack of know-how approximately the generation. The technology can assist the organisation in understanding the clients and permit it to target the customers better and personalize advertising and marketing movements and messages. Advertising takes the benefit of facts to big data: consumer needs research, marketplace analyses, client insights, and competition intelligence.

Abstract: Model and manage the business holistically to drive exponential growth. Knowing the potential of information and knowledge, as well as how it revolutionized the way of life today and the opportunities that arise from it, apply solutions that can increase the scale of operations without incurring high costs, as was the case with traditional economies of scale. Recognize the importance of migrating from a linear and sequential business model to one in which processes are more flexible and exponential thinking. This chapter explores exponential organizations.

Abstract: The revolutionary effects of artificial intelligence (AI) and socially responsible marketing on the real estate market are examined in this chapter. Real estate is being redefined by changing consumer values as well as increased social and environmental consciousness. A flexible tool like artificial intelligence (AI) encourages innovation by providing data-driven insights, individualized marketing, and operational efficiencies. The concept simultaneously connects real estate transactions with significant societal and environmental contributions. The investigation starts with the key cause selection process, in which real estate professionals make choices that go beyond transactions and resonate as statements of intent with customers and communities. Forging relationships beyond typical buyer-seller interactions, creating emotionally compelling narratives becomes essential. AI boosts customer experiences, improves relationships, and synchronizes them with client values.

Abstract: This research aims to investigate how artificial intelligence (AI) can be used to improve marketing and brand loyalty. Artificial intelligence (AI) is one of the most revolutionary technologies because it allows computers to independently execute mental skills often reserved for humans, such as problem solving and reasoning. In order to make judgments (like which marketing actions to take) and reason (about those decisions) in real time, machines represent, learn, store, and refine their knowledge progressively based on past experiences and existing information (e.g., predicting customer satisfaction). AI, with its ability to analyze vast datasets, predict customer behaviors, and deliver personalized experiences, is reshaping the way companies approach and enhance their customer loyalty strategies. This exploration delves into the multifaceted role of AI in revolutionizing the realm of customer loyalty, shedding light on its applications, benefits, and the transformative potential it brings to the forefront of modern marketing.

Abstract: The rapid integration of information and communication technologies (ICT) in higher education has brought about transformative changes to traditional teaching and learning practices. This chapter examines the multifaceted impacts of ICT in the higher education sector. Over the past two decades, ICT has revolutionized the way educational institutions operate, impacting teaching methodologies, student engagement, and administrative processes. In the realm of pedagogy, ICT has facilitated the shift towards student-centered learning, empowering learners with access to diverse digital resources and interactive learning platforms. Moreover, administrative tasks within higher education have been streamlined through the adoption of ICT, resulting in enhanced efficiency in enrollment, record-keeping, and communication between stakeholders. This optimization allows educators to focus more on instructional design and student support, fostering a conducive learning environment.

Abstract: There are multiple changes with supply chain management and logistics industry post covid. Keeping the right level of inventory can be challenging, as it involves balancing the cost of carrying inventory against the risk of stockouts. Forecasting demand accurately and managing inventory across multiple locations are also key challenges. Factors such as transportation mode, route optimization, and carrier selection can all impact the efficiency and cost of transportation. As consumers become more environmentally conscious, sustainability is becoming an increasingly important issue in the supply chain. Companies need to consider the environmental impact of their operations and products and find ways to reduce waste and carbon emissions. The use of technology is becoming more widespread in the supply chain, with tools such as automation, artificial intelligence, and the internet of things (IoT) becoming increasingly popular. Overall, the use of AI in supply chain management and logistics can help organizations make more informed decisions, reduce costs, and improve customer satisfaction.

Abstract: In the ever-evolving landscape of modern marketing, the convergence of management information systems (MIS) and predictive analytics has become a potent force. This chapter explores the transformative potential of combining MIS infrastructure with predictive analytics techniques to reshape marketing management. Predictive analytics, utilizing historical data and machine learning, empowers organizations to forecast future trends, customer behavior, and market dynamics. MIS, as the information backbone, facilitates the collection, processing, and dissemination of data for strategic decision-making. Marketing, once reliant on intuition, has transitioned into a data-driven discipline. This synergy enables businesses to not only understand past performance but also anticipate and respond to the dynamic demands of the marketplace. However, seizing this opportunity is not without challenges. Success hinges on the alignment of technical capabilities, organizational structure, and strategic vision with the digital landscape's evolution.

Abstract: Talent management is the constant system that includes attracting and retaining high-quality employees who have developed skills, professional planning, and interest in growth. This management continuously motivates the employees to improve their tasks and performances. The dependent variable measures the bundles of human resource management practices recruitment, performances, staffing, training, and developmental compensation. The independent variables of human resources are talent retention, career management, employee training, and talent attraction, while the dependent variables are employee engagement for growth in management. Talent management defines talent development as the work or efforts that were learned and the employee's improvement to continue the organizational performance. In order to understand the impact more clearly, a survey has been done on 65 employees taken on a random basis. The use of 13 questions was taken into consideration. The responses collected are then put into SPSS software to analyze the results using the proper testing method.

Abstract: Written documents, inscriptions, and artefacts have been left behind by India's long and eventful past, providing a wealth of essential information about the country's cultural legacy. India's history spans many millennia, making it one of the world's oldest civilizations. However, given the fragile nature of these old materials and their widespread distribution across the world, preserving and gaining access to them can be a difficult and time-consuming endeavour. This study investigates the application of management information system (MIS) technologies with the goal of enhancing digital archiving and preservation techniques for India's immense cultural heritage in order to overcome the challenges described above. The research endeavours to provide solutions to problems that arise in relation to the maintenance and accessibility of historical documents and artefacts by centering its attention on digitalization, data management, and cloud storage.

Abstract: Enterprise applications have never been more important in an era where organizations thrive on efficiency and consumer happiness. This chapter is an enthralling voyage into the world of cutting-edge technology in which the authors investigate the revolutionary power of enterprise applications and their significant impact on modern enterprises. They delve into the dense web of corporate applications that serve as the backbone of enterprises, fueling growth and fostering innovation. These applications are intended to optimize procedures, streamline operations, and improve cross-departmental communication, allowing firms to function at maximum efficiency while maintaining a laser-like focus on customer satisfaction. They show how, in an ever-changing technological context, enterprise applications have developed from traditional software tools to agile, intelligent, and integrated solutions. The alternatives are endless, from enterprise resource planning (ERP) systems to customer relationship management (CRM) platforms.

Abstract: Today's world is full of technology. Humans and therefore businesses without the presence of technology are doomed to fail. In order to analyze people and organizations, it is no longer possible to rely only on the information that flows through language. In today's world, decision-making should be based on behavior and performance data. So, technologies will consider all aspects of life and the behavior of people, organizations, and all related processes and will monitor them step by step so that the results are as accurate as possible. In recent years, the concepts of Industry 4.0, which included the emergence of transformative technologies, and Industry 5.0, which emphasized sustainability, resilience, and human-centeredness, have grown. But the next generation of industry, the 6.0 industrial generation, is also on the way. It means the mixing of all processes, people, and things in technology and decision-making based on intelligent mode. Therefore, in this research, a concept called Supply Chain 6.0 has been described including its dimensions and components.

Abstract: The present chapter explores the sustainability of mobile payment wallets amid low-cost data usage. To evaluate sustainability, the chapter evaluates the association between perception and satisfaction of m-Wallet. The chapter examines 506 m-Wallet users' perception and satisfaction. A self-administrated questionnaire was used to collect responses using an online survey. Five factors were extracted after exploratory factor analysis. Perception comprised of usefulness, self-efficacy, and ease of use. Structural equation modeling was employed on perception, satisfaction, and security. It was discovered that perception has a direct and indirect impact on satisfaction. Security has a direct impact on satisfaction. Security was utilized as a partial mediating factor between perception and satisfaction.

Abstract: Modern organizational management must include strategic human resource management (SHRM). It is an improvement over the conventional human resources management methods, mostly concerned with operations and connections with employees. Contrarily, SHRM recognizes that workers are one of a company's most significant assets and works to match HR practices with those aims and objectives. This method strongly emphasizes long-term planning, proactive decision-making, and a close connection between HR strategies and overarching corporate plans. Strategic human resource management includes all those activities affecting the behavior of individuals in their efforts to formulate and implement the strategic needs of the business. It is the pattern of planned human resource deployments and activities intended to enable the firm to achieve its goals.

Abstract: This chapter examines the role of emotional intelligence (EI) in supply chain leadership. It begins by providing an overview of EI, its components and its relevance in leadership. The supply chain landscape is then explored, highlighting the complexities and challenges faced in the global marketplace. The importance of EI in supply chain leadership and its impact on decision-making are discussed. Case studies and examples are provided to illustrate the application of EI in supply chain leadership. The chapter also delves into how EI can help navigate supply chain challenges, such as disruptions and stakeholder relationships. Real-world examples of organizations integrating EI into supply chain leadership are provided, along with the outcomes. The future outlook and implications of EI in supply chain management are explored, including emerging trends and potential areas for further research. The chapter concludes with a summary of the broader implications for supply chain leadership and a call to action for organizations and leaders to embrace and incorporate EI into their practices.

Abstract: Since time inception the problem of self-knowledge has been the fundamental matter of concern in ancient philosophy. We have a sense of belief that we all know our emotions. This belief gives rise to a number of questions- Do we know our emotions all the time? Are we aware of the emotions of others? Is there any connection between emotion identification and decision making? To answer these questions, one has to unpack the notion of emotional intelligence. This chapter intends to express 5S approach to emotional intelligence as the foundation to business management. These 5S refers to self-awareness, self-management, self-kindness, social awareness, and social skills/social management. Moving further, the emphasis will be on the notion of spirituality as a means to attain the 5S, to excel in emotional intelligence. Our emotions guide our actions and words; thus, significantly assist us in taking appropriate decisions, which as a result, helps us in managing business efficiently and effectively.

Abstract: The smart supply chain (SSC) attempts to improve the general concept of the supply chain. The existential philosophy of Industry 5.0 is to develop the previous generation of the industry. Smart supply chain in the Industry 5.0 can be introduced as the Supply Chain 5.0 which includes three essential features. This study aims to review the smart supply chain. For this objective, smart supply chain opportunities (SSCO) and smart supply chain challenges (SSCC) are analyzed based on Industry 5.0. This study explains the industrial revolutions from the first one to the fifth one. In this chapter, SSC and Industry 5.0 are identified and defined briefly. Thus, SSC and Industry 5.0 are connected meticulously. For precise investigation, the opportunities and challenges of SSC are explained. As a result, the conceptual framework has been achieved. Using the Delphi method to reach a consensus of a group of experts to validate the extracted indicators is necessary for this chapter. Finally, the conceptual framework demonstrates a smart supply chain based on Industry 5.0.

Abstract: Green finance shows the pathway to address climate change related issues and helps in achieving the sustainable development goals (SDGs). Investor confidence is imperative for the growth of any financial instrument. Introduction of blockchain and fintech in green finance instruments helps to earn investor confidence. The purpose of the current study is to analyze the association and hedging effects between the artificial intelligence (AI) and green finance (GF). Data was extracted with the help of ‘yahoofinance.com'. Correlation analysis was performed with the help of software R to address the objective of the study. Implication of the study helps investor to diversify their portfolio and helps issuers to issue AI enabled GF instruments.

Abstract: The economic value of green spaces and their enormous potential can positively impact both community development and business growth. This chapter explored the value of OSM data especially green space data for business development. Strategic investment in parks and other green spaces has positive effects on the environment as well as the economy. Integration of OSM data with other essential datasets can provide businesses with useful tools for utilizing green spaces. OSM improves client segmentation, market analysis, and distribution channels, promoting sustainable business practices. OSM can also help in developing revenue strategies, discovering competitors, and optimizing logistics. When used in business growth, OSM green space data offers a variety of alternatives, from site selection to eco-friendly campuses, eco-tourism, and conservation projects. Additionally, OSM data encourages civic participation, ecological regrowth, and eco-aware consumer marketing.

Abstract: Artificial Intelligence (AI) has emerged as a groundbreaking technology offering unparallel opportunities to enhance business efficiency and competitiveness. Recently, AI has gained notable attention in the business world as companies have started to recognize the potential of AI to revolutionize businesses and unlock new opportunities for growth and innovation. This chapter provides an introduction to AI and its importance in modern business management. It discusses the origin, evolution, and different types of AI; and subsequently delves into the applications, benefits, challenges, and future of AI. The chapter concludes that an ethical global governance framework should be developed for frontier AI applications used in businesses to make them more reliable and trustworthy. Also, there should be government intervention in the form of ethical auditing and ethical guidelines for the use of AI by the organizations. Thus, with the right approach, AI can be a valuable asset to businesses, helping them to succeed in an increasingly competitive and turbulent business environment.

Abstract: Emotional intelligence means the capability to comprehend one's personal emotions as well as of the others and regulating them well. Emotional intelligence permits one to function effectively at the workplace. Technical expertise and academic credentials alone are insufficient for people to succeed in their jobs. To accomplish the intended results, it is also critical to have strong interpersonal connections, self-control, and self-management skills. People who possess strong emotional intelligence are able to perform to the best of their abilities. The study aims at understanding the concept and significance of emotional intelligence at workplace. The study is descriptive in nature and is based on secondary data. The study infers that appropriately developed emotional intelligence improves interpersonal relationships at workplace and employee's performance. The study suggests that organisations should understand the importance of emotional intelligence and conduct workshops to enhance emotional intelligence of individuals working in different capacities in the organisations.

Abstract: Computer vision technology can be used for instant car damage recognition by analyzing images of damaged vehicles to detect and identify the location and severity of any damages. Technology can accurately classify damage into categories such as small, medium, or high severity. This can help insurance companies and other relevant stakeholders quickly process claims, reduce fraudulent claims, and improve the overall claims process efficiency. The conventional car damage assessment process is time-consuming, labor-intensive, and prone to errors. Computer vision models offer a new solution to detect car insurance fraud by identifying the damage severity and streamlining the claims process. AI can automate the process by analyzing images of damaged cars and generating a breakdown of the damage. The authors propose a unique computer vision process that can help identify small, medium, and high severity of damages and validate investigators' recommendations to detect anomalies in real-time.

Abstract: In this chapter, the authors investigate the role of “renewable energy consumption” in the context of circular economy. They assume that the consumption of renewable energy is a proxy for the development of circular economy. They use data from the environmental, social, and governance (ESG) dataset of the World Bank for 193 countries in the period 2011-2020. They perform several econometric techniques (i.e., panel data with fixed effects, panel data with random effects, pooled ordinary least squares [OLS], weighted least squares [WLS]). The results show that “renewable energy consumption” is positively associated among others to “cooling degree days” and “adjusted savings: net forest depletion” and negatively associated among others to “greenhouse gas (GHG) net emissions/removals by land use change and forestry (LUCF)” and “mean drought index.” Furthermore, they perform a cluster analysis with the application of the k-Means algorithm and find the presence of four clusters. Finally, they compare eight different machine-learning algorithms to predict the value of renewable energy consumption.

Abstract: In general, the revenue forecast, offer information, and the weather gauge setting will record an accurate estimate of any restaurant's future revenue. The turnover is significantly focused on the need of the customers. Either way, the performance has transformed over the past couple of years with the presentation of huge amounts of information and calculations during the time taken to gain the upper hand. It is fundamental to learn and understand the importance of the information that will be used in any business process. Again, climate forecasting can be done alongside business expectations with the organization.

Abstract: The integration of artificial intelligence (AI) into recruitment processes has promised to revolutionize and optimize the hiring landscape. However, recent legal proceedings have shed light on the alarming implications of AI algorithms in the employment sector. This chapter delves into a significant case study where African American, Latina American, Arab American, and other marginalized job applicants and employees filed a 100-million-dollar class action lawsuit against a prominent organization, Context Systems. The suit alleges that AI screening tools, entrusted with the crucial task of selecting candidates, have been marred by programming bias, leading to discriminatory outcomes. This case study critically examines the multifaceted problems arising from bias in AI algorithms, revealing their detrimental effects on marginalized communities in the employment sector. By scrutinizing this pivotal case, the authors aim to provide insights into the urgent need for transparency, accountability, and ethical considerations in the development and deployment of AI-driven recruitment tools.

Abstract: To encourage industry discussion of cutting-edge blockchain applications, this chapter was written. This chapter provides an introduction to blockchain technology as well as details on how to secure transactions using technology and how the secure element works. It examines common implementation worries and provides use cases for current commercial or trial projects. The following paragraphs go over the concept of a blockchain, how bitcoin transactions operate, and how to finish a transaction. The network of Marco Polo will be highlighted. In this chapter, the authors show how to use blockchain and cloud technology with Marco Polo to remove corporate pain problems. The chapter goes on to give a full overview of blockchain, including its function, traits, and applications.