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The main purpose of this paper is to explain the preferences of consumers for using online payment services. This paper applies a unified theory model named stimulus-organism-response (S-O-R) theory for exploration.

This is quantitative research based on the structural equation modelling method. The stimulus-organism-response (S-O-R) theory was applied, whereby the author conducted an online survey through a structured questionnaire with users of mobile payment services. These consumers are using online payments for online shopping purposes. The survey was conducted all over India. The sample size is 355.

The study found that utilitarian, hedonic value and salesperson behaviour impact consumers satisfaction and behaviour while using online payment services. The study found that there is a significant direct relationship between consumer satisfaction and consumer behaviour. This study examines how financial mobile services contribute to e-commerce implementation, especially in the context of India.

This study incorporates a variety of factors, including the behaviour of salespeople, which affect consumer happiness, satisfaction and behaviour intention. This study reveals a direct relationship between consumer satisfaction and behavioural intention. Accordingly, the use of mobile banking and digital financial services has a positive impact on customer satisfaction. This study suggested that awareness about e-commerce services and mobile financial services is an important aspect of consumers satisfaction. Effective e-commerce services and mobile financial services have a positive impact on consumer behaviour.

This is a comprehensive model used for online payment services and directly related to emerging economies like India. This study examines the consumer willingness of the digital market in relation to online payment services. This study contributes to the relevant literature by simultaneously examining the role of e-commerce platform characteristics and online consumer psychology in influencing behavioural intention. Numerous factors have been revealed by this investigation.

The study will add to the current discourse on the Israel-Hamas conflict by examining the impact of the war on the stock markets of trading partners. Stock market returns inevitably rise as globalization keeps integrating financial markets and economies around the world. Thus, the impact of war is assessed across a range of indicators that are similar in some way, such as geographic location, political climate or economic standing. Thus, the goal of this study is to investigate how the Israel-Hamas war affects trading partner countries' stock performance.

Event study methodology is applied using Morgan Stanley Capital Index (MSCI) as a benchmark index. The influence of the Israel-Hamas war on the world's major stock markets is evaluated using a market model. The study takes into account Israel and its 23 trading partners. To capture the locational asymmetry in the outcome, the countries are further categorized according to their geographic locations. The official declaration of war came on October 7, 2023, a non-trading day. Consequently, October 9, 2023, is designated as the event day in this study. The data was gathered between January 1, 2023, and December 31, 2023, with an estimation period of 140 days taken into account to minimize bias.

Asymmetric response is shown among the nations due to their economic standing, geographic proximity and trading links with Israel. While Austria, Greece, Egypt, Palestine and Israel had the greatest negative effects, Argentina, Japan and Chile saw significant beneficial effects. The remaining nations had little effect. The market quickly adjusted itself, eliminating anomalous returns.

Taking into account the topic's criticality, the current work has certain limits. The study has used the daily data to limit its reach to the stock market exclusively. In the future, academics can combine high-frequency stock market data with data from other macroeconomic variables, such as currency or different commodities markets, to further their research. Furthermore, a cross-national comparison of the impact in terms of direction and intensity regarding developing global groups such as I2U2, LEVANT, BRICS, MIKTA, SCO, NATO, SAARC and OECD can provide a more comprehensive understanding in this context. To gain insight into the durability and adaptation of financial systems over time, longitudinal studies could be conducted to monitor the long-term effects of geopolitical crises on the stock markets of trading partner countries.

By better managing investment portfolios and evaluating potential risks associated with trading partners involved in such conflicts, investors and businesses can lessen the impact of geopolitical tensions on stock market performance. These results contribute to our understanding of how geopolitical conflicts affect stock markets.

This research provides an extensive analysis of the global impact of Israel-Hamas tensions on stock market volatility by taking into account trading partners. This allows for the investigation of how various market structures and economic systems react to geopolitical turmoil. The present study is one of the first attempts to look into how disturbances in one region might affect continents to better understand the dynamics of global trade and economic interdependencies.

This chapter explores the significance of blockchain technology in protecting data for intelligent applications across various industries. Blockchain is a distributed ledger that ensures the immutability and security of transactions. Given the increasing need for security measures in industries, understanding blockchain technology is crucial for preparing for its future applications.

This chapter aims to examine the use of blockchain technology across industries and presents a compilation of existing and upcoming blockchain technologies for intelligent applications. The methodology involves reviewing research to understand the security needs of different industries and providing an overview of methods used to enhance multi-institutional and multidisciplinary research in areas like the financial system, smart grid, and transportation system.

The findings highlight the benefits of blockchain networks in providing transparency, trust, and security for industries. The Responsible Sourcing Blockchain Network (RSBN) is an example that utilizes blockchain's decentralized ledger to track sustainable sourcing from mine to final product. This information can be shared with auditors, corporate governance organizations, and customers.

The practical implications of this chapter are significant, serving as a valuable resource for industries concerned with identity privacy, traceability, immutability, transparency, auditability, and security. Understanding and implementing blockchain technology can address the growing need for secure and intelligent applications, ensuring data protection and enhancing trust in various sectors.

Sustainable Development Goals (SDGs) are forming a blueprint for attaining the prosperity and peace for the entire world as it is an accomplishing goal of the UN agenda of 2030. SDGs focus on ending poverty and creating new life in a better way. These goals give a clear vision to achieve the optimum growth in a sustainable manner. Corporates are now mandated by law in India to contribute a certain percentage of profits to the cause of social development, ultimately helping the nation develop. The main aim of business is to earn money, and all the related decisions affect the board of directors, associated stakeholders, customers, etc.; all these practices also affect the internal employees in an ethical way. In order to prevent the companies to do any unethical practices, government has mandated some laws; all the corporates need to spend and utilize their corporate social responsibility (CSR) contribution in a particular time frame. All the prescribed activities need to be accomplished in a particular time frame. Along with profit maximization, the business is shifting their attention toward the conservation of natural resources. In this study, the researcher has provided a linkage between CSR and SDGs. Through this research, the objective is to attain the mapping between schedule seven of companies act 2013, section 135 and 17 goals of SDGs.

The first Sustainable Development Goal (SDG), which is to be attained by the year 2030, is to ‘End poverty in all its forms everywhere’. ¹ However, the progress made in reducing poverty has been reversed due to the spread of the COVID-19 pandemic. The worsening poverty, inequality and vulnerability call for identifying the acuteness of the problem with the help of dimensions like the economic dependency ratio along with other sources like poverty line, access to social security, health care, basic services, food security and asset ownership and social networks at the village to name a few. The economic dependency ratio goes beyond the age dependency ratio and tries to capture the dependency better by incorporating the number of dependants and employed ones in the calculation. In this study, an attempt has been made to highlight the importance of the economic dependency ratio to measure vulnerability better in India. Unemployment data provided by the Centre for Monitoring Indian Economy (CMIE) has been utilised to understand the severity of dependency at the country level. Primary data has been collected with the help of the Proportionate Stratified Sampling method from 600 notified, non-notified slum households staying in the western part of India and in-depth interviews have been conducted with a few homeless families. Quantitative data has been analysed using SPSS and Stata software.

This study will be immensely useful as it aims to improvise the methodology to identify the poor and vulnerable. Better identification can take us a step closer to achieving SDG 1.

Industry 5.0 is referred to the subsequent industrialization. The ultimate goal of this transformation is to enable manufacturing solutions through collaboration with man and machine which are more user-friendly and increase work quality in comparison to Industry 4.0. This will be accomplished through the consumption of the creative potential of human specialists in the creation of an industry with more efficient, clever, and precise machines. It is predicted that several exciting breakthroughs and apps will help Industry 5.0 in its plan to gain more productivity and supply personalized goods in an open system. On the other hand, Industry 5.0 has had a greater global and international renown from the very beginning of its existence. Machine learning (ML) technology, the Internet of Things (IoT), and big data will create a collaboration with people, robots, and other intelligent devices. Industry 5.0 continues to serve as an attractive driver for our society's workforce skills and young talent in search of purposeful professional lives. There are some challenges as well, such as working with advanced robots requires people to develop skills. People need to gain proper knowledge about collaboration with smart machines and the robot manufacturers industry. However, this ultimate overhaul is necessary for the industry to certify its reason as a solution provider for our society. These things will unquestionably ensure the long-term sustained development (SD) of any nation's economy.

Although healthcare and healthy living are integral to the Sustainable Development Goals (SDGs) for 2030, the coronavirus epidemic has dealt a devastating blow to these efforts. As governments and policymakers were compelled to shift their focus to lockdowns, sustenance, procurement, and distribution of vaccines, the momentum for health initiatives slowed, and the already fragile health systems of emerging markets were subjected to additional shocks. However, in many underserved regions of the globe, the introduction of technology has greatly facilitated the distribution and adoption of healthcare services.

This chapter highlights mini-cases from four emerging nations: Bangladesh, Nigeria, Vietnam, and the Philippines. Although the countries are emerging, each one of them are in a distinct stage of development and face a unique set of healthcare-related challenges. The chapter showcases how four different organizations based in these countries leveraged the use of technology to take healthcare services to underserved populations. In doing so, they addressed the key challenges of imparting healthcare: geographic accessibility, availability, financial accessibility, and acceptability.

This chapter concludes with a discussion of the implications of expanding healthcare industries leading to increased healthcare waste. To prevent mass population exposure to hazardous substances, the emergence of intelligent healthcare waste collection and disposal systems will be an absolute necessity. Hence, with the development of healthcare services, governments and policymakers need to mechanize smart waste management systems to safeguard humans, animals, and the environment.